https://notes.andymatuschak.org/zvsdRnoY2BwhGgh9kwKPfWqPFS3wEDbVn1Ep

TODO ЕЩЕ РАЗ ПЕРЕЧИТАТЬ

!!!Мета-рациональность

[[ Мета-рациональность: Смысл|https://metarationality.com/introduction]]

Некоторые люди способны преодолевать неопределенные ситуации, которые, кажется, сбивают с толку опытных и умных людей. Они делают это, используя то, что Чепмен называет «мета-рациональностью»: они уменьшают масштаб формальных, четко определенных систем, чтобы включить случайные свойства ситуации.

Это редкий навык. Одна из причин заключается в том, что такого рода понимание требует как опыта в соответствующих формальных системах, так и этих «мета-рациональных» методов, но последним нельзя обучить формально. Поскольку мета-рациональность настолько ситуативна, она часто невыразима. Это очевидно, когда кто-то использует индукцию в качестве аргумента в доказательстве; часто неочевидно, когда люди используют мета-рациональные методы, чтобы ориентироваться в туманной ситуации.

"""

Q. Какой (новый) пример рационализма разрушает ситуацию на рабочем месте?
А. (например, процесс принятия решений неумолимо ведет к решениям, с которыми все согласны, кажутся неправильными)
"""

!!!Рациональность и холодильники

[[Рациональность и холодильники, Смысл|https://meaningness.com/eggplant/refrigerator]]

Кажется разумным попытаться верить только истинным утверждениям. Но часто это невозможно: в большинстве случаев истинность зависит от {«кто спрашивает и почему».

Связанный: [[Формулируйте вопросы поиска истины в терминах «до какой степени?» и «в каком смысле?» а не в бинарной логике "да/нет"]].

Это не делает ответы менее важными: часто в данной ситуации действительно есть «правильная» истина, и ее правильное понимание может быть невероятно важным. Мета-рациональность подходит к этой нечеткости не в постмодернистском смысле («истина создается социально!»), Но путем построения рациональных систем для создания большего смысла в контексте.

"""

Q. Как два толкования слова «есть ли вода в холодильнике?»
А. 1. Нет, в холодильнике нет питьевой воды; 2. В клетках баклажана есть вода.

Q. Что является характерным мета-рациональным возражением на вопрос « Истинно ли X ? »
А.„В каком смысле?“
"""


!!!Облака и баклажаны

[[Облака и баклажаны, Смысл|https://meaningness.com/eggplant/nebulosity]]

Туманность - это сила, которая требует метарациональности: рациональные системы не могут давать вечно верные ответы в человеческих ситуациях, потому что эти ситуации неизбежно расплывчаты при внимательном рассмотрении.

Проблема не в том, что мы не можем определить фактический ответ на точные вопросы: у нас есть для этого формальные инструменты. Проблема в том, что вопросы человеческого масштаба обычно не сформулированы (и часто не могут быть сформулированы) достаточно точно для того, чтобы формальная система могла применяться последовательно.

Облака - отличный пример существенной туманности.

"""

Q. Почему граница облака нечеткая?
A. Они просто становятся менее плотными по краям. Нет определенного момента, в котором он начнется или остановится. Ответы о границах облака зависят от того, почему вы спрашиваете.

Q. Почему идентичность облака неясна?
А. Это два облака или две части одного облака? Трудно сказать; зависит от того, почему вы спрашиваете.

Q. Почему категория облака нечеткая?
A. Есть категории облаков, таких как перистые и высококучевые облака, но они непрерывно переходят друг в друга.

Q. Почему облако имеет туманную форму?
A. Они сложные и очень подробные, но общие фразы, такие как «листы» и «нити», по-прежнему имеют значение во многих ситуациях.
""""

!!!Революция доверия в эпоху постправды

[[Революция доверия в эпоху постправды, Смысл|https://meaningness.com/eggplant/credibility-post-truth]]

Одно из объяснений того, что [[Научный прогресс, похоже, замедляется]]  может заключаться в том, что их упор на системную рациональность делает творчество редким: стимулы имеют тенденцию к механическому повороту кривошипа, неспособному отразить смысл того, что производится, как это должно производиться, какие проблемы должны решать решаться и т. д.

::Творчество проистекает из удивления, любопытства, игры и удовольствия. Они занимают видное место в биографиях великих ученых и изобретателей. Существующие институциональные механизмы отталкивают их в пользу постоянного конкурентного давления в пользу бессмысленной механической производительности.

Современная культура («постмодернизм») признала, что универсальные рациональные системы («современность») не поддаются обработке, но это привело к катастрофическому полному отказу от рациональности и убежденности в том, что невозможно оценить «истину» на уровне все, даже в условном, ситуативном смысле. Эти системы по-прежнему полезны - просто они не абсолютны.

!!! Часть первая: серьезное отношение к рационализму
[[Часть первая: серьезное отношение к рационализму.Смысл|https://meaningness.com/eggplant/rationalism]]

!!!Рациональность, рационализм и альтернативы

[[Рациональность, рационализм и альтернативы.Смысл|https://meaningness.com/eggplant/rationalism-definitions]]

''Рациональность'' подчеркивает «формальные, систематические, явные, технические, абстрактные, нетипичные, неочевидные способы мышления и действий». Чепмен также отмечает, что один из способов думать о формальной системе - это процедура, которую можно напечатать в книге и которой можно следовать (как [[Исполняемая стратегия]]). Рациональность стремится быть универсальной.

Чепмен придумывает термин {"рационализм"} для описания веры в {универсальную эффективность рациональности}.

Такие убеждения обычно включают объяснение того, почему рациональность работает с использованием рациональной системы, например, путем определения функции принятия решений для истинных убеждений. Рационализм нормативен: люди, придерживающиеся этих убеждений, думают, что другие тоже должны их придерживаться, и они будут продвигать их соответственно. Было бы неплохо, если бы какой-то вид рационализма был правдой, но это не так: мир слишком туманный.

Напротив, Чепмен определяет {«разумность»} как {повседневное значение слова «рациональное»: разумное действие, которое, вероятно, сработает в данный момент}.

Рационализм рассматривает разумность как плохую попытку рациональности, но это ошибка: он дает хорошие ответы в некоторых ситуациях, когда рациональность - нет.

«Мета-рациональность» - это практика {согласования} надлежащего использования рациональности и разумности для данного контекста. Это отличается от антирациональности, которая заключается в убеждении, что {систематическая рациональность не работает при надлежащем применении}. Это также отличается от иррациональности, которая {неспособность действовать эффективно, ни разумно, ни рационально}.

«Мета-рационализм» заменяет рационализм: «как, когда и почему работают разумность, рациональность и мета-рациональность».

"""

Q. В каком смысле рационализм нормативен?
А. Рационалисты считают, что люди должны соответствовать своему определению рациональности, когда это возможно.

Q. Какой межличностный фактор отличает определение «рационалиста», данное Чепменом, от человека, который считает, что рациональность полезна?
А. Рационалисты активно продвигают рационализм; их убеждения нормативны, а не просто описательны.

Q. Почему метарациональность не является «альтернативой» рациональности?
A. Мета-рациональность заключается в выборе подходящих рациональных методов в данной ситуации, поэтому она бесполезна без рациональности.

Q. Различайте антирациональность и иррациональность.
A. Антирациональность - это явное отрицание ценности систематической рациональности, тогда как иррациональность - это неспособность действовать эффективно в данной ситуации.

Q. Почему противоречиво представлять себе, что метарациональность означает применение рациональности к самой себе?
A. Одно из основных утверждений мета-рациональности заключается в том, что вы не можете использовать систематическую рациональность, чтобы выяснить, как применить разумность и рациональность в данной ситуации.
""""
Большинство людей не замечают, что на самом деле они не так решают большинство проблем в своей жизни (после того, как они бросают школу).

!!!Реакция рационализма на неприятности

[[Реакция рационализма на неприятности.Смысл|https://meaningness.com/eggplant/rationalism-responses]]

Капризы, с которыми сталкиваются формальные системы, бывают разных видов, которые выглядят одинаково, но в конечном итоге представляют собой очень разные корневые ситуации:

# Расплывчатость представления: неточность в спецификации, запросе или модели. Рационализм пытается справиться с этой двусмысленностью, вводя более точные системы (например, формальную логику).

# Эпистемологическая неопределенность: у вас недостаточно доказательств, чтобы сделать вывод («известные неизвестные»), или вы спотыкаетесь о «неизвестных неизвестных». Рационализм занимается этим, используя такие вещи, как байесовские рассуждения.

# Онтологическая туманность: «Шипучая, нечеткая, текучая неопределенность самого мира». Рационализм часто неверно интерпретирует это как одну из двух других неопределенных ситуаций или же пытается решить эти ограничения, прибегая к большему количеству «логических вещей».

"""

Q. Контрастная онтология и эпистемология.
А. Онтология - это то, что есть, а эпистемология - это то, что мы знаем.

Q. Каков пример онтологического вопроса?
А. (например, какие существуют категории вещей? Каковы свойства этой категории? Каковы отношения между этими вещами?)

Q. Почему рациональность плохо справляется с вопросами онтологии?
A. Онтология по своей сути туманна: границы категорий человеческого масштаба нечеткие и контекстные.
"""

!!!Позитивный и логичный

[[Позитивно и логично. Смысл|https://meaningness.com/eggplant/logical-positivism]]

Логический позитивизм был попыткой объединить дедуктивное мышление и интуицию (которую Чепмен называет «рациональностью») и чувственный опыт (эмпиризм). То есть они хотели обеспечить логическую основу для {научного метода: общие утверждения, основанные на экспериментальных данных}.

Его первоначальный подход следовал пути, который Чепмен называет «логицизмом»: по сути, математическая логика предикатов применялась к более широким вопросам эпистемологии. В идеале нужно начать с использования логики, чтобы доказать, что логика работает так, как мы ожидаем. Это не сработало (см. Гёдель).

Позже она перешла к подходу, который Чепмен назвал «вероятностностью», что похоже на теорию вероятностей в применении к эпистемологии. Если вы видите, как солнце восходит на Востоке тысячу раз, вы не можете сделать вывод, что оно всегда восходит на Востоке, но вы можете быть все более уверены, что это произойдет. Логические позитивисты пытались объединить этот вид вероятностных рассуждений с логикой предикатов, но (согласно Чепмену) потерпели неудачу. Классические посты Less Wrong, кажется, предлагают этот тип эпистемологии.

"""

Q. Откуда берутся истинные утверждения в том, что Чепмен называет «логицизмом»?
А. Другие истинные утверждения, полученные с помощью математических выводов.
"""

!!!В мире все, что есть

[[В мире все, что есть на самом деле.Смысл|https://meaningness.com/eggplant/Aristotelian-logic]]

Один из способов карикатурировать логицизм - представить себе, что у вас в голове есть список предложений, каждое из которых вы пометили как «истинное» или «ложное». Это смешно, потому что многое нельзя пометить таким образом. Хороший пример Чепмена: «Так у Ханны и Мартина роман или как?» «Вроде ... Они на самом деле этого не сделали, но вчера вечером они часами целовались на скамейке в парке».

Если вы будете настаивать на этом, никто на самом деле не станет утверждать, что считает, что они так думают, но многие теории эпистемологии, особенно теории логицизма, похоже, полагаются на эту фундаментальную модель.

Q. Что Витгенштейн имел в виду, говоря: «Мир - это все, что имеет место»?
А. Он предполагает, что мир определяется списком всех истинных утверждений (то есть логицизмом).

См. также эту красивую сноску:

::«Мир - это все, что имеет место» - это первое предложение и центральный тезис «Логико-философского трактата» Людвига Витгенштейна, одного из центральных текстов логического позитивизма. «Позитивизм» иногда определяют как утверждение, что мир - это не что иное, как список всех истинных утверждений. И действительно, второе предложение Витгенштейна звучало так: «Мир - это совокупность фактов, а не вещей».

!!!Зависит от значения слова «есть».

[[Зависит от значения слова «есть». Смысл|https://meaningness.com/eggplant/formal-logic]]

Одна очевидная проблема логицизма состоит в том, что обычный язык часто неоднозначен. «Собака - самоед». Какая собака? Любая собака? В 1879 году Готтлоб Фреге разработал логический синтаксис, который устранил подобную двусмысленность, добавив универсальные и экзистенциальные кванторы. Так, например, вы можете сказать: «Есть собака, которая является самоедом», или «этот однозначно идентифицируемый символ собаки - самоед».

Проблема здесь в том, что мы можем правильно интерпретировать такие предложения, как «Собака - самоед». Просто их интерпретация требует контекста, а эти типы формальных логических систем не могут включать такого рода случайности.

"""

Q. Как рационалисты решают неоднозначный язык?
A. Придумывайте и общайтесь на точном и конкретном языке.

Q. Почему утверждение «собака - самоед» требует мета-рациональности?
A. Это контекстно: какая собака? Зависит от того, кто и почему спрашивает.
"""

!!!Ценность бессмысленности

[[Ценность бессмысленности. Смысл|https://meaningness.com/eggplant/meaninglessness]]

«Идеализм» Гегеля отстаивал своего рода солипсизм. Как резюмировал Бертран Рассел:

::Время и пространство нереальны, материя - иллюзия, а мир состоит только из разума.

Логические позитивисты называют это утверждение ни истинным, ни ложным, а бессмысленным , привнося в логику новое значение. Они также ввели «неизвестное». Этот шаг был назван «многозначной логикой», и он решил некоторые технические проблемы, но в конечном итоге был включен в теорию вероятностей, которая может делать более детальные утверждения об истинности.

Q. Как логические позитивисты ответили на утверждения вроде «Мир состоит из ничего, кроме разума?»
A. Они объявили эти утверждения «бессмысленными», введя новую ценность истины.

!!!Правда вопроса

https://meaningness.com/eggplant/sort-of-truth

Предложения в человеческом масштабе редко бывают истинными или ложными. Они часто «в целом» верны, «верны в принципе» или «в значительной степени» верны. Проблема здесь в том, что арифметика как логицизма, так и вероятности зависит от абсолютных значений истинности. Непонятно, какие выводы можно сделать на основе переменной, которая «в принципе истинна».

Рационализм часто неверно интерпретирует эту проблему как неопределенность или неточность. Иногда бывает так! Когда это так, вы можете определить более точный синтаксис или рассматривать вещи вероятностно. Но часто значение истинности онтологически туманно: если «Ален лысый» - это «почти правда», проблема не в неопределенности (он лысый с p = 0,8) или даже в неточности (он лысый на 80%). Скорее, степень его облысения зависит от того, почему вы спрашиваете.

Мы хотим знать кое-что о твороге, танцевальных движениях и дрессировке щенков, но в них нет ничего абсолютно верного. Очевидно, что в здравом смысле о них правдиво множество всего. Но мы даже не можем однозначно сказать, является ли что-то творогом. Всегда есть маргинальные случаи, например, творог, который слишком долго хранился в холодильнике и постепенно превращается во что-то другое. Не совсем верно и то, что творог белый. Это только «более или менее верно»; приглядевшись, он слегка желтоватый.

В. Почему проблема в том, что арифметика логицизма и вероятности зависит от значений абсолютной истины?
A. На практике предложения человеческого масштаба часто «в некотором роде» верны, и неясно, как формальные системы работают с этими ценностями.

!!!Reductio ad reduceem

[[Reductio ad reduceem.Смысл|https://meaningness.com/eggplant/reductionism]]

Прекрасная фантазия: каждая тема должна быть выражена в терминах какой-то темы «более низкого уровня», биологии поверх химии поверх физики. Такие сокращения часто весьма полезны - см., Например, уровни абстракции в информатике и законы идеального газа. Но полные научные сокращения встречаются довольно редко. На практике обычно бывает так, что либо термины высокого уровня не могут быть полностью определены в терминах следующего уровня, либо абстракции более низкого уровня «просачиваются» в термины более высокого уровня.

Биологи могут связно объяснить множество явлений, несмотря на их неспособность свести клетки к химии, поэтому мы должны найти какой-то другой способ понять этот тип рациональности.

!!!Плоды баклажаны?

[[Плоды баклажаны? Смысл|https://meaningness.com/eggplant/definition]]

Рационализм отвечает на онтологическую туманность, пытаясь более точно определять термины. То есть он пытается свести составляющие к «онтологически определенным» терминам - терминам, которые могут быть либо абсолютно истинными, либо ложными в отношении объекта (например, 3 - простое число). Но обычно это невозможно для объектов человеческого масштаба, интерпретация свойств которых обычно зависит от контекста.

Пример, который использует Чепмен: «Баклажан - это фрукт?» Ботанически да; кулинарно нет. Мы можем быть более конкретными, чтобы избежать этой двусмысленности. Но тогда мы должны спросить: что делает его фруктом с ботанической точки зрения? Ну, это семя, и это часть покрытосеменного… но что означает «часть покрытосеменного», когда оно отделено от растения? Есть множество исключений и угловых случаев, каждое из которых кажется сговорчивым в данный момент, но они не заканчиваются; вы не можете дать исчерпывающего определения.

Это не проблема с нашим использованием языка: «Проблема не в том, что мы не можем получить утверждение, относящееся к правильной категории. Дело в том, что в мире нет четкой разделительной линии, которая надежно выполняет ту работу, которую мы хотим… Проблема заключается в территории, а не в карте ».

И все же в повседневной жизни мы можем задавать подобные вопросы и отвечать на них без видимых проблем.

"""

Q. Почему сложно ответить «баклажаны - плоды?»
A. Например, они являются фруктами с точки зрения ботаники, но не с точки зрения кулинарии.

Q. К каким объектам и свойствам верен рационализм?
А. Онтологически определенные объекты и свойства - абсолютно очерченные, присутствующие или отсутствующие в категории, без туманностей.

Q. Почему нельзя преобразовать «баклажаны в плоды»? в абсолютно точный вопрос?
A. Существует неизбежная семантическая двусмысленность: категория, к которой мы пытаемся получить доступ, не четко очерчена в физической реальности, поэтому мы не можем составить слово, указывающее на это определение.
"""

!!!Когда ты станешь лысым?

[[Когда ты станешь лысым? Смысл|https://meaningness.com/eggplant/vagueness]]

Один из видов туманности - это количественное изменение, то есть свойство, которое изменяется вдоль континуума, а не занимает всего несколько дискретных значений. Иногда с этим хорошо справляется рационализм (в литературе это называется «расплывчатостью»). Если переменная на самом деле является непрерывной, то она может формально моделировать этот континуум (оттенки серого как значения яркости от 0 до 1). Если количественная вариация заключается в том, насколько мы уверены в себе - это эпистемическая проблема, - тогда мы можем ввести вероятность, чтобы справиться с ситуацией.

Но это не относится ко всем подобным ситуациям. Рассмотрим утверждение «Ален лысый». Это правда? У него все еще есть волосы, но они в порядке и в основном около ушей. Подсчет волос не поможет вам ответить на вопрос: проблема не в том, что у вас нет точного количественного измерения. Вероятностная формулировка предложения не поможет (Ален лыс с p = 0,73): проблема не в том, что вы не уверены, лысый ли Ален. И также не тот случай, когда онтологически он «0,9 лысый»: проблема не исчезнет, ​​если вы приложите числа к значению истинности. Тем не менее, вы можете взглянуть на него, и видно, что он лысый.

"""

Q. Какие 3 подхода использует рационализм для устранения неопределенности, возникающей из-за количественных различий?
А. Присоединение вероятностей; методы формального измерения и логики; присвоение числа онтологической истинностной ценности

Q. Почему не помогает теория вероятностей, если «Ален лысый» «в значительной степени» верно?
А. Проблема не в неопределенности; его облысение зависит от того, почему вы спрашиваете.

Q. Почему методы формального измерения и логики не помогают, когда «Ален лысый» «в значительной степени» верно?
A. Подсчет количества волос у него не помогает: его облысение зависит от того, почему вы спрашиваете.

Q. Почему не помогает прибавить число к истинности фразы «Ален лысый»?
А. Совершенно не ясно, как вы могли бы использовать это число. Проблема в том, что значение истинности утверждения зависит от контекста.
"""

!!!Приближение перегрузки

[[Приближение овердрайва. Смысл|https://meaningness.com/eggplant/approximation]]

Подход инженера к проблеме туманности может заключаться в следующем: все дело в том, чтобы получить модель, которая дает достаточно хорошие приближения. Проблема здесь в том, что для хорошей модели приближения требуется четко понимаемая область применимости (в которой она хорошо работает) и ограниченная ошибка (описывающая, насколько серьезно она может потерпеть неудачу). В физике и электротехнике у нас могут быть эти модели. Но в повседневной жизни мы обычно не знаем всех условий применимости; Решение, как, когда и почему применять данную приближенную модель, само по себе является мета-рациональной задачей.

Связанная с этим интересная проблема заключается в том, что для нечисловых явлений аппроксимация часто является неподходящим способом размышления о заявлении:

::Какой-то конкретный фрагмент ДНК приблизительно не является геном. Это определенно может быть один или нет, и это может быть «своего рода» ген, но никогда ген «с точностью до ошибки». … Способы рассуждения, которые работают для численно приближенной истины, не работают для обычно адекватной истины, поэтому приближение не является адекватной общей моделью адекватности модели.

"""

Q. Почему недостаточно того, что рациональные модели «приблизительно верны»?
A. Это действительно только для моделей, подобных физике. Для вопросов человеческого масштаба их области применимости нечетко определены, а границы их ошибок зависят от контекста.
"""


!!!Ссылка: проблема реальности рационализма

https://meaningness.com/eggplant/rational-reference

Один из удивительных и тонких способов разрушения рационализма состоит в том, что сама ссылка нечеткая. «Саманта Самоед белая» описывает связь между свойством (быть белым) и ссылкой на собаку (Саманта Самоед), но эти отношения очень трудно обосновать абсолютно в физической реальности. На практике этот вид упоминания согласовывается на основе контекста - например, может быть, я нашел белую собаку с ошейником с надписью «Саманта», что может сделать это утверждение более правдивым.

!!!Национальный реестр омлетов

[[Национальный реестр омлетов. Смысл|https://meaningness.com/eggplant/identity]]

Многие повседневные утверждения туманны, потому что для обозначения объектов в них используются указатели : «Мой омлет больше». Истинность этого утверждения зависит от того, кто говорит. Чтобы сделать такие утверждения онтологически определенными, вам нужно будет заменить любые индексирующие числа абсолютными идентификаторами: «Омлет 92349817 больше, чем омлет 8951875». Но, увы, «национального реестра омлетов нет». И не может быть даже в принципе, потому что границы объектов онтологически не определены.

Опять же, тем не менее, на практике это редко создает проблемы, потому что с этим может справиться простая разумность.

"""

Q. Почему нельзя сделать утверждение «Мой омлет больше» онтологически определенным?
A. Вам нужно заменить «мой омлет» абсолютной ссылкой на объект, что невозможно.

!!!Объекты, объективно

[[Объекты объективно. Смысл|https://meaningness.com/eggplant/objective-objects]]

Расплывчатые утверждения нельзя сделать онтологически определенными, сводя все к утверждениям квантовой физики, потому что границы объектов человеческого масштаба не могут быть определены с онтологической определенностью.

Фейнман хорошо об этом говорит:

::Что такое объект? Философы всегда говорят: «Ну, возьмем, к примеру, стул». В тот момент, когда они это говорят, вы понимаете, что они больше не понимают, о чем говорят. Время от времени из него испаряются атомы - не много атомов, а несколько - на него падает грязь и растворяется в краске; поэтому точно определить стул, точно сказать, какие атомы являются креслом, а какие - воздухом, или какие атомы являются грязью, или какие атомы являются краской, принадлежащей креслу, невозможно. Так что массу стула можно определить только приблизительно.

::В мире нет ни одного, оставленного в покое объекта. Если мы не будем слишком точны, мы можем идеализировать стул как определенную вещь. Можно предпочесть математическое определение; но математические определения никогда не работают в реальном мире

На практике мы можем работать с неопределенными объектами, но всегда с учетом контекста. Часто ограничения определений не имеют значения, но «мета-рациональные вопросы таковы: имеет ли это значение для определенной цели? Если да, то как и почему? Что это означает относительно того, как нам следует использовать рациональность? »

"""

Q. Опровергните представление о том, что объекты субъективны или созданы социально.
A. Например, Плутон существовал задолго до того, как он был открыт в двадцатом веке.

Q. Опровергните: «Объекты туманны, но у них есть определенная сердцевина; они просто нечеткие по краям ».
A. Два облака связаны тонким усиком. Одно или два облака?

Q. Опровергните: «Объекты туманны из-за физического недетерминизма».
А. Граница облака все равно была бы туманной, даже если бы вы могли заморозить всю его материю.
"""

!!!Это баклажан, который я вижу перед собой?

[[Это баклажан, который я вижу перед собой? Смысл|https://meaningness.com/eggplant/rationalist-perception]]

Если мы собираемся делать заявления об объектах в мире, нам необходимо определить соответствующие роли восприятия и разума. Возможно, рациональность может поглощать истинные утверждения и производить новые, но откуда берутся исходные истинные утверждения? В конечном итоге должен быть некий аксиоматический источник истины. В этой главе обсуждается сложность согласования этого интерфейса с помощью четырех распространенных подходов.

Возможно, результат восприятия - это набор утверждений о том, что вы видите. Но какой синтаксис можно использовать в этих операторах? Можно ли воспринимать баклажан? Если вы говорите «нет», вы оставляете рациональность, чтобы уверенно классифицировать «баклажан» по набору дескрипторов (что, как мы уже отметили, невозможно). Если вы скажете «да», то как вы сможете выучить новые ярлыки, если такие процессы начинаются с определений, выраженных на рациональном уровне?

Другой подход может заключаться в том, чтобы восприятие выводило необработанные нейтральные наблюдения. Но теперь мы переходим к редукционистским проблемам дырявых абстракций: только потому, что вы знаете, что что-то фиолетовое, овальное, твердое и горькое, вы не можете знать, что это баклажан.

Еще один подход состоит в том, чтобы устранить разделение и заставить рациональность делать все, потребляя сырые сенсорные стимулы. Это фактически модель, используемая современными системами «глубокого обучения», которые потребляют необработанные пиксельные данные. Но неясно, как это могло быть возможно, учитывая огромную пропускную способность.

Последний подход - доверять только объективным научным инструментам для формирования своих убеждений. Но эти инструменты также подвержены ошибкам и содержат много теории.

!!!Во что вы можете верить?

[[Во что вы можете верить?|Смыслhttps://meaningness.com/eggplant/propositions]]

Одна довольно абстрактная проблема с рациональностью заключается в том, что она занимается утверждениями и убеждениями, но неясно, что это на самом деле. Предположительно они нефизические, но они по-прежнему значимо связаны с реальностью, поскольку одни предложения делают прогнозы, которые надежно коррелируют с измерениями, а другие - нет. Они независимы от разума, поскольку, например, масса протона была массой протона до того, как мы узнали, что это такое. Но какую роль они играют в рассуждениях и как? Чепмен утверждает, что ни одно из стандартных объяснений не работает (но не очень конкретно о том, как / почему).

!!!Откуда у вас вообще эта идея?

[[Откуда у вас вообще эта идея? Смысл|https://meaningness.com/eggplant/no-new-ideas]]

Если рациональность заключается в выборе между множеством альтернатив, откуда берутся эти альтернативы? Как рождаются новые идеи? Одно из объяснений состоит в том, что изобретение по своей сути нерационально, но очевидно, что в нем происходит что-то связное. Чепмен предсказывает, что метарациональность лучше объяснит, как возникают новые альтернативы.

!!!Испанская инквизиция

[[[Испанская инквизиция. Смысл|https://meaningness.com/eggplant/closed-world]]

Рациональность может объяснить все известные и известные неизвестные, но она не может сделать надежных выводов о реальности, потому что существует бесчисленное множество неизвестных неизвестных.

На практике, мы действительно сделать рабочие выводы регулярно, но это зависит от мета-рациональных движений, как обращение к идеализированным сценариям, делая мир менее туманным, или с помощью «реальности проверки» на выходах рационального вывода. Но решение, когда и как применять эти стратегии, требует мета-рациональных навыков.

!!!Вероятность

[[Вероятность. Смысл|https://meaningness.com/eggplant/probabilism]]

Вероятность часто предлагается как усовершенствование логики основ рациональности. Он характеризуется использованием теории вероятностей и теории принятия решений. Вероятностная рациональность очень полезна, но только в некоторых ситуациях. Например, это не поможет вам справиться с репрезентативно расплывчатыми ситуациями («этот омлет - мой») или онтологически неопределенными ситуациями («Ален лысый»).

!!!Выход из казино

[[Выход из казино. Смысл|https://meaningness.com/eggplant/probabilism-applicability]]

Вероятностная рациональность лучше всего применима к ситуациям, в которых вы достоверно знаете {действия, которые могут быть предприняты, результаты, которые могут произойти, и выплаты, относящиеся к каждому действию / результату}. В действительности это редко бывает правдой.

!!!Какая вероятность не может

[[Какая вероятность не может. Смысл|https://meaningness.com/eggplant/probability-limitations]]

В этой главе исследуется, что это означало бы, если бы вероятности верны. Если бы вероятности сработали, это дало бы нам процедуру, которую мы могли бы выполнить, чтобы определить, насколько сильно мы должны верить утверждению, учитывая набор восприятий и предварительных знаний. Это имеет смысл в контексте игр со справедливыми ставками, но очень немногих других.

!!!Вероятность зеленого сыра

[[Вероятность зеленого сыра. Смысл|https://meaningness.com/eggplant/small-world]]

Невозможно перечислить неизвестное в ситуации. Вы не можете перечислить полный список возможных исходов. Рассмотрение чего-либо в повседневной жизни с использованием теории вероятностей требует, чтобы вы сделали «идеализацию маленького мира» - что для вас разумно сложить «все ситуации, которые вы не учли» и придать этой группировке некоторый вес. На практике это не всегда разумно.

Чепмен приводит отличный пример: вы наводите спектрометр на астероид, и он говорит вам, что с очень высокой вероятностью он видит зеленый сыр. Вы все равно, вероятно, не поверите, потому что, возможно, кто-то попал на датчик во время чистки, или, может быть, кто-то пошутил, или что-то еще. Каковы вероятности этого? Вы не можете знать, и программное обеспечение спектрометра определенно не учитывает это. Вы должны сами оценить разумность, используя метарациональность.

"""

Q. Почему проблема вероятности заключается в том, что вы не можете перечислить набор возможных результатов?
A. Это означает, что вы не можете довести вероятности всех результатов до 1,0, что является предположением математики.

Q. Что такое «идеализация маленького мира» в контексте вероятности?
A. Объедините все результаты, о которых вы не думали, и оцените вероятность этого - теперь сумма вероятностей равна 1,0!
"""

!!!Статистика и кризис репликации

[[Статистика и кризис репликации. Смысл|https://meaningness.com/eggplant/probabilism-crisis]]

Люди думают, что кризис репликации науки связан с тем, что люди делают ошибки в своих статистических расчетах. Но это поверхностный взгляд. Более глубокая проблема заключается в том, что даже если расчеты верны, люди делают неправильные выводы из этих анализов - например, ошибочно предполагая некую тотемную истинность p-значений. Тем не менее, даже избежать этих ошибок вывода недостаточно, потому что сами анализы содержат множество встроенных предположений, которые могут или не могут выполняться, и которые не может оценить никакой алгоритм в закрытой форме.

::Там нет никакой замены для упрямого любопытства, на самом деле выяснить, что происходит; и нет фиксированного метода для этого. Наука не может быть сведена к какому-либо фиксированному методу или оценена никаким фиксированным критерием. Он использует методы и критерии; это не определяется и не ограничивается ими.

"""

Q. В каком смысле кризис научного воспроизводства означает нечто большее, чем просто ошибки в расчетах в рамках формальной системы?
A. Это также связано с неправильным пониманием того, какие выводы верны.

Q. В каком смысле кризис научного воспроизводства означает нечто большее, чем просто неверные выводы из правильно выполненного формального анализа?
А. Этот формальный анализ делает идеализации маленького мира, которые не всегда верны.

Q. Что, по мнению Чепмена, должно заменить значения p в качестве эвристики для научной легитимности?
A. Вопрос с подвохом: нельзя использовать алгоритм в закрытой форме. Нет замены действительному мышлению.
"""

!!!Действуя по правде

[[Действуя по правде. Смысл|https://meaningness.com/eggplant/action-in-rationalism]]

До сих пор мы в основном говорили о попытках рационализма отыскать истину. Но подразумевается, что, узнав правду, вы можете выбрать лучшее действие для выполнения.

Одна из проблем заключается в том, что определение того, какое действие выполнить, часто связано с невыполнимыми вычислениями из-за экспоненциального числа комбинаций возможных действий и результатов. Мы упрощаем вычисления с помощью эвристики, но выбор правильной эвристики требует мета-рациональных рассуждений. Фактически, на практике мы часто можем выбрать правильные действия, не будучи в состоянии их предсказать или понять.

Более глубокая проблема заключается в том, что «действие» на самом деле не является отдельной операцией. Он постоянно реагирует на конкретную ситуацию, в которой вы находитесь, - устойчив к видам обобщений, которые хочет сделать рационализм.

---

!!!Часть вторая: серьезное отношение к разумности

[[Часть вторая: серьезное отношение к разумности. Смысл|https://meaningness.com/eggplant/reasonableness]]

Первая часть «Баклажана» посвящена разрушению рациональности - почему рационализм не является разумной полной эпистемологией. Но систематическая рациональность делает часто работу, и мы в состоянии принимать решения в повседневных ситуациях с достаточной надежностью. Это зависит от понятия, которое Чепмен называет ''разумностью''.

!!!Этнометодологический флип
Этнометодологический флип | Смысл

Баклажан собирается привести аргумент, что, хотя рационализм рассматривает разумность как неполноценное приближение к рациональности (то есть подмножество с потерями), мы должны вместо этого рассматривать рациональность как специализированное приложение разумности.

"""

Q. Что такое «этнометодологический флип» баклажана?
A. Рассматривайте рациональность как специализированное применение разумности, а не разумность как неполноценное приближение к рациональности.
"""
Многие люди пишут о "решениях проблем", которые связаны с тем, что [[Практика написания заметок у людей, как правило, неэффективна]]. Подавляющее большинство этих статей фиксируется на близорукой рамке типа «лайфхакинга», сосредоточенной на ответах на такие вопросы, как: «как мне организовать свои заметки?», «Какой журнал мне использовать?», «как я могу облегчить захват фрагментов прочитанного?» и т. д.
Ответы на эти вопросы неудовлетворительны, потому что вопросы сосредоточены на неправильном. Цель не в том, чтобы делать заметки, а цель в том, чтобы мыслить эффективно. Лучшие вопросы: «Какие практики могут помочь мне надежно развивать идеи с течением времени?», «Как я могу эффективно привлечь внимание?» и т.д. Это рамка, в которой  [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]] имеет смысл:  [[Написание вечнозеленых заметок помогает накапливать понимание]].
С точки зрения технологии, важно не «ведение заметок с поддержкой компьютеров», а «мышление, поддерживаемое компьютером».
Легко сосредоточиться на «заметке», потому что это видимый компонент невидимой практики: если вы видите, как в их блокноте кто-то проницательный пишет, вы можете себе представить, что если вы получите правильную тетрадь и хорошо ее организуете, вы тоже будете проницательны. И, конечно же, делать заметки ощутимо. Это относительно легко, и это *похоже*на то, что делать что-то, даже если это бесполезно ([[Неэффективная практика написания заметок дает слабую обратную связь]]). Так что это привлекательная неприятность.
 [[Люди, которые много пишут о написании заметок, редко имеют серьезный контекст использования]].
Центральное занятие в игровом дизайне: ''«найди удовольствие»''. Принципы, рамки, процессы и т. д. - вторичны по отношению к этой цели. 

Этот ключевой факт сразу же проливает свет на одну основную причину, по которой [[Обучающие игры - это обреченный подход к созданию благоприятной среды]]. См. также [[Развитие навыков в играх подчинено другим внутренне значимым целям]].

«Удовольствие» выражается через действие ; см. [[Игра - это эстетическое средство действия]].
При рассмотрении возможностей обработки информации человеком [[Объем рабочей памяти, в основном, не зависит от сложности элемента]], поэтому мы должны различать количество обрабатываемых элементов («фрагмент», ограниченный [[Объем рабочей памяти]]) и сложность каждого элемента (ограниченный отдельно, по [[Диапазон абсолютного суждения]]).

Миллер пишет (1956, с. 92):
У меня появилась привычка различать биты информации и фрагменты информации. Тогда я могу сказать, что количество битов информации постоянно для абсолютного суждения, а количество фрагментов информации постоянно для непосредственной памяти.

Критично: [[Пропускная способность человеческого канала увеличивается с увеличением количества бит-на-чанк]], а [[Перекодирование может увеличить размер чанка]].

Части могут представлять довольно абстрактные атрибуты, особенно с более сложными схемами перекодирования: например, музыкант, импровизирующий о «напряжении», или шахматист, думающий о «силовых линиях».

!!!References
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81–97. https://doi.org/10.1037/h0043158 "Miller - The magical number seven, plus or minus two". [[Миллер - Волшебное число семь, плюс или минус два]].
!!!План разговора 
* [[Спортсмены и музыканты гораздо более строго преследуют виртуозность в фундаментальных навыках, чем работники, занимающие знаниями.]].
** краткая история [[Интеллектуальный труд]] (призыв к экономическому росту и т. д.)
** [[Наука управления фокусируется на работе со знаниями на уровне фирмы и менеджера, а не на уровне отдельного человека]]
** [[Мы не знаем, как измерить продуктивность работников умственного труда]]
* [[Основные практики в работе с знаниями часто являются ad-hoc]]
* [[Знания должны срастаться]]
* [[Кажется, что люди забывают большую часть того, что читают, и в большинстве случаев не замечают]]
** [[Глубокое понимание требует детального знания основ]]
** [[Сложные идеи может быть трудно усвоить отчасти из-за того, что их компоненты переполняют рабочую память]].
** Представляем [[Quantum Country]]
*** [[Эффект тестирования]]
*** [[Системы интервального повторения чрезвычайно эффективны]]
**** [[Эффект интервала]]
*** [[Системы памяти с интервалом повторения делают выбор в пользу памяти]]
*** [[Влияние мнемонического носителя на память читателя]]
** [[Мнемонические эссе могут предлагать подробное сохранение их содержания в обмен на 35-50% дополнительных затрат времени на чтение]].
* Серьезно относиться к заметкам
** [[Практика написания заметок у людей, как правило, неэффективна]] 
** [[«Лучшее ведение заметок» упускает суть; важно «лучшее мышление»]]
*** [[Люди, которые много пишут о написании заметок, редко имеют серьезный контекст использования]]
** представляем [[Zettelkasten]]
*** [[Написание вечнозеленых заметок помогает накапливать понимание]]
** [[Интервальное повторение может быть полезным инструментом для постепенного развития догадок]]
* обобщение: [[Системы интервального повторения могут использоваться для программирования внимания]]
* интервалы повторения и почтовые ящики
** [[Ящики входящих работают только в том случае, если вы доверяете тому, как они очищаются.]]
** [[Стратегии сортирования для обслуживания почтовых ящиков (например, Zero Inbox) часто слишком хрупкие]]
** [[Программные интерфейсы часто представляют разрушительные операции как окончательные решения, а не как случайные предпочтения]]
** [[Интервальное повторение может снизить ставки в отношении разрушительных операций по обслуживанию почтового ящика]]

!!!Мета информация

* Позиция:
** представление незавершенной работы
** больше о том, чтобы задавать вопросы, чем давать ответы
** определенно не здесь, чтобы предоставить полезные решения

* Что получает публика:
** Глаза открылись для множества увлекательных вопросов, которые лежат в основе каждого дня их работы.
** Чувство волнения и возможности, мотивированные несколькими примерами возможного прогресса
* Принципы:
** [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]]
*** [[«Лучшее ведение заметок» упускает суть; важно «лучшее мышление»]]
*** [[Знания должны срастаться]]
[[Практика написания заметок у людей, как правило, неэффективна]]
[[Неэффективная практика написания заметок дает слабую обратную связь]]

* Чтение и написание заметок
** [[Пишите о том, что вы читаете]]

[[Написание вечнозелёных заметок помогает накапливать усилия по чтению]]
[[Сбор материала для заметок без его переработки - не эффективен]]
[[Думайте самостоятельно]]
[[Понимание требует активного вовлечения]]
[[Письменная практика усиливает понимание]]
[[Как собирать наблюдения во время чтения]]
[[Литературные заметки бывают второстепенными и несвязанными]]
[[Как превратить аннотации чтения в вечнозеленые заметки]]
*  [Карманная блокнот для заметок для записи в почтовый ящик, пока он выходит](https://notes.andymatuschak.org/z5FKgZAnMhS73t9kenbVUYx23CHSQAE1gKxVf) 

[[Почтовый ящик для временных и неполных заметок]]
[[Почтовый ящик для чтения для сбора потенциально полезных ссылок]]
[[Папки "Входящие" не следует разделять на несколько мест]](https://notes.andymatuschak.org/z7bj6MiUnFnP3GvM5QqHafy3LTaqQV56e1Mek) 

[[Остерегайтесь автоматического импорта в ящик входящих для чтения]]
[[Используйте телефоны для сбора и сортировки, а не (обычно) для чтения]]

* Мышление и написание заметок
[[Написание вечнозеленых заметок помогает накапливать понимание]] 
[[Интервальное повторение может быть полезным инструментом для постепенного развития догадок]]
[[Скачки в понимании возникают из предыдущих мыслей]]
[[Мозговой штурм часто может заменить недостающие системы накопления insights]]
[[Вечнозеленые заметки - безопасное место для развития безумных идей]]
[[Вечнозеленые заметки могут увеличить разговорную пропускную способность]](https://notes.andymatuschak.org/z848gfJnsUNa5JjziTzXirNEJsEzRejTeYefX) 
		*  [Разговоры, включающие вечнозеленые заметки нескольких участников дискуссии, могут способствовать формированию смысла в сотрудничестве](https://notes.andymatuschak.org/z8NiytpoGGuh8okwPaca2qnScvc5xCqnS6JBN) 
* Написание и написание заметок
	*  [Исполняемая стратегия написания](https://notes.andymatuschak.org/z3PBVkZ2SvsAgFXkjHsycBeyS6Cw1QXf7kcD8) 
		*  [Создавайте спекулятивные контуры во время написания](https://notes.andymatuschak.org/z2uXyfV67dnWLUKg1iDbsrHk3DGjtNWTxSTah) 
		*  [Вечнозеленые заметки снижают эмоциональные ставки на редактирование рукописей](https://notes.andymatuschak.org/z26G5QDZgkk3mLTJoWHfzM6kjRzHpTAWHeZWN) 
		*  [Вечнозеленые заметки позволяют плавно прогрессировать в письменной форме («инкрементное письмо»)](https://notes.andymatuschak.org/z6C5H4eYH2A4omfNLuUcDiKibQ1hZG2RGNZ97) 
* Структура заметок
	*  [Вечнозеленые ноты](https://notes.andymatuschak.org/z4SDCZQeRo4xFEQ8H4qrSqd68ucpgE6LU155C) 
		*  [Большинство людей делают только переходные заметки](https://notes.andymatuschak.org/z2ZAGQBHuJ2u9WrtAQHAEHcCZTtqpsGkAsrD1) 
		*  [Обслуживание вечнозеленых заметок приближает интервальное повторение](https://notes.andymatuschak.org/z6yfTwYekzvBkVjeH7WBUrSAJhyGTMYDAyYW7) 
	*  [Вечнозеленые заметки должны быть концептуальными](https://notes.andymatuschak.org/z6bci25mVUBNFdVWSrQNKr6u7AZ1jFzfTVbMF) 
		*  [Вечнозеленые ноты должны быть атомарными](https://notes.andymatuschak.org/z4Rrmh17vMBbauEGnFPTZSK3UmdsGExLRfZz1) 
		*  [Заголовки вечнозеленых заметок похожи на API](https://notes.andymatuschak.org/z3XP5GRmd9z1D2qCE7pxUvbeSVeQuMiqz9x1C) 
			*  [Предпочитаю названия позитивных нот для продвижения систематической теории](https://notes.andymatuschak.org/z8T6sLNco2benUMgcXUXeJh35eW2obP48DoPp) 
			*  [Предпочитаю заголовки заметок с полными фразами для отточки претензий](https://notes.andymatuschak.org/z3KmNj3oKKSTJfqdfSEBzTQiCVGoC4GfK3rYW) 
	*  [Вечнозеленые ноты должны быть плотно связаны](https://notes.andymatuschak.org/z2HUE4ABbQjUNjrNemvkTCsLa1LPDRuwh1tXC) 
	*  [Заметки должны вас удивить](https://notes.andymatuschak.org/z4KZ9973AoHhvM9Pj5Qrds48JXNbMEwVJmVRw) 
* ассоциативная структура в ПКМ
	*  [Предпочитаю ассоциативные онтологии иерархическим таксономиям](https://notes.andymatuschak.org/z29hLZHiVt7W2uss2uMpSZquAX5T6vaeSF6Cy) 
	*  [Теги являются неэффективной структурой ассоциации](https://notes.andymatuschak.org/z3MzhvmesiD2htMaEFQJif7gJgyaHAQvKH49Z) 
		*  [Индексированные ссылки против тегов](https://notes.andymatuschak.org/z6ztEgzqZichYTJgabhYQLn4UY4FbC1JMH394) 
* последствия
* Связь с системой ссылок
	*  [Создание гиперссылок на мой архив ссылок](https://notes.andymatuschak.org/z7xyZLXF3my9t5sPb7Kzdsg4pauz5mtbZqHWa) 
	*  [Преимущества и недостатки использования заметок для формирования ассоциаций в содержании](https://notes.andymatuschak.org/z2D6w86eKLuVdmk5icMJ5L6av1nG62HaF7ref) 
* инструменты
	*  [Цифровые системы написания заметок фиксируют презентацию и манипулирование отдельными заметками, в основном игнорируя межнотное смысловое оформление](https://notes.andymatuschak.org/z6Pb6rwTDSg7K7LqF2EbtqbnKvpMbiXYkToDi) 
	* значение открытого текста
	* идентификаторы открытого текста для связи материалов
	* будучи человеческим коннектором в системе, в которой нет приложения
* история / сообщество
	*  [Зеттелькастен](https://notes.andymatuschak.org/z2QvtE9w5zs49x7WUeG8Ut1vywHDLiG2Wkm9p) 
	* Луманн
	* Кристиан и Саша
	*  [Как делать умные заметки - Ahrens](https://notes.andymatuschak.org/z6o5eS2DnpMwe2HnHyhgQAmmGkRCtkKina73u) 
Система интервального повторения сочетает в себе [[Эффект тестирования]] и  [[Эффект интервала]], чтобы обеспечить эффективное запоминание многих тысяч фактов ([[Системы интервального повторения чрезвычайно эффективны]]). Некоторые люди также используют их для более широкого набора задач (см. ниже). [[Системы памяти с интервалом повторения делают выбор в пользу памяти]], но они предназначены не только только для заучивания фактов:  [[Системы памяти с интервалом повторения могут быть использованы для развития концептуального понимания]].

Первой потребительской системой такого рода был  [[Supermemo]], созданный Piotr Wozniak. Он заимствовал и популяризировал термин «интервальное повторение»; в предшествующей литературе использовалось множество терминов (часто относящихся к более конкретным аспектам лежащего в основе явления).

* Связанные системы и возможности:
** Реализации:
*** Традиционные:
**** [[Supermemo]]
**** [[Mnemosyne]] 
**** [[Anki]]
*** Необычные вариации:
**** [[Мнемоническая среда]]
**** [[Execute Program]]
**** [[Readwise]]
**** [[Chessable MoveTrainer]]
** [[Необычные приложения систем памяти с интервалом повторения]]
** [[Системы интервального повторения могут использоваться для программирования внимания]]
*** [[Системы интервального повторения как катехизис]]
** [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]] 
	
* О свойствах систем памяти:
	*  [[Какова максимальная скорость использования эффективной системы памяти с интервальными повторениями?]]
	* [[Оптимизация расписания системы интервальных повторений]]
	* [[Самооценка по сравнению с машинной оценкой в системах интервального повторения]]
	* [[В какой степени практика системы интервальной памяти с повторением представляет собой осознанную практику?]]

* Барьеры на пути заимствования (to adoption)
	*  [[Многие люди считают, что память не важна для глубокой творческой работы]] 
	*  [[Трудно написать хорошие подсказки для интервального повторения]]
		*  [[Каковы наиболее важные атрибуты хороших подсказок для интервального повторения?]] 
		*  [[Изучение подсказок для интервального повторения, созданных другим человеком,  обычно - неэффективно]]
		* [[Ограничивающим фактором в пропускной способности системы с интервалом повторения является написание достаточного количества хороших подсказок]] 
	*  [[Важнейшим моментом для оптимизации систем памяти с интервальным повторением является эмоциональная связь с сеансом обзора и его содержанием]]
		*  [[Регулярная практика запоминания с интервальными повторениями - обременительная привычка]] 
			*  [[Системы памяти с интервальным повторением не сразу демонстрируют свои преимущества]]
			*  [[Системы памяти с интервальным повторением заставляют вас чувствовать, что ваша память хуже, чем она есть на самом деле]] 
		*  [[Сеансы повторения с интервалом часто становятся скучными и оторванными без постоянного потока новых подсказок]]
		*  [[Доминирующая культура систем памяти с интервальным повторением зациклена на бессмысленных целях]] 

* Ответы на общие возражения
	* SRS актуальны только для заучивания фактов: «школьное обучение»
		*  [[Люди недооценивают важность памяти из-за плохого опыта заучивания наизусть в школе]]
		* Существующие SRS используются почти исключительно для простых декларативных знаний, в отличие от [[Системы памяти с интервалом повторения могут быть использованы для развития концептуального понимания]]. 
		*  [[Системы памяти с интервальным повторением помогают сосредоточиться на более глубоком взаимодействии, автоматизируя механическое запоминание]]
		*  [[Системы памяти с интервальным повторением могут ускорить неприятные ранние этапы изучения предмета]] 
		* (предостережение: сложно писать подсказки для концептуального понимания!), возможно, здесь поможет GTR-3 или симультанное мышление

	* SRS предназначены только для материала, о котором вы не заботитесь в достаточной степени, чтобы запомнить его «естественно». Лучше «учиться на практике».
	* Достаточно внешней памяти
	* Мнемонические техники устраняют SRS
	* Знания, полученные через SRS, не передаются
	* Настоящая ценность SRS заключается в создании собственных подсказок.
		* Может быть! [[Насколько важно писать собственные подсказки с интервалом повторения?]] 

---

!!!References
Branwen, G. (2009). Spaced Repetition for Efficient Learning. Retrieved December 16, 2019, from  https://www.gwern.net/Spaced-repetition
[[Who invented the name: spaced repetition? - supermemo.guru|https://supermemo.guru/wiki/Who_invented_the_name:_spaced_repetition%3F]]

!!!Backlinks
* [[Мнемоническая среда]] 
Мнемоническая среда встраивает [[§Система памяти с интервальным повторением]] в повествовательную прозу. [[Системы памяти с интервалом повторения делают выбор в пользу памяти]], но они столкнулись с серьезными препятствиями на пути к внедрению. Мнемоническая среда предназначена для решения многих из этих проблем.

* [[Системы интервального повторения могут использоваться для программирования внимания]]
[[Системы памяти с интервалом повторения делают выбор в пользу памяти]], но ценность компьютеризированного компонента заключается, в частности, в динамическом планировании и выборе вопросов для рассмотрения. В некотором смысле эффективность [[§Система памяти с интервальным повторением]] зависит от ее способности программировать ваше внимание ([[Программируемое внимание]]). Подумайте: «{cron} для вашего ума».

* [[Знания должны срастаться]]
Это достигается с помощью [[§Система памяти с интервальным повторением]]: когда вы находите информацию полезной, вы можете приложить немного усилий, чтобы убедиться, что она у вас всегда под рукой. Со временем в библиотеке интервальных повторений накапливаются тысячи вопросов, и (я сильно подозреваю), что знание помогает впоследствии стать эффективным работником умственного труда.

*  [[Execute Program]] 
Execute Program предлагает интерактивные уроки по инструментам программирования от Gary Bernhardt. Уроки чередуются с прозой и живыми задачами программирования. Подобно [[Мнемоническая среда]], сайт интегрирует [[§Система памяти с интервальным повторением]] для повторения задач уроков с течением времени.

* [[Эффект интервала]]
Алгоритмы [[§Система памяти с интервальным повторением]] использовали это преимущество для реализации эффективных систем обучения.

*старая версия этого абзаца* Каждая последовательная арматура, кажется, сглаживает эту забывающую кривую, так что вы можете ждать все дольше и дольше между каждым обзором. Динамика этого эффекта сглаживания не очень хорошо характеризуется (для одной модели см.  [[Двухкомпонентная модель памяти]]), но алгоритмы  [[§Система памяти с интервальным повторением]] используют постоянные факторы с относительным успехом, что создает экспоненциально увеличивающийся ряд интервалов испытаний, например, 5 дней, 2 недели, 1 месяц, 2 месяца, 4 месяца и т. д.

* [[Трудно написать хорошие подсказки для интервального повторения]] 
Люди считают карточки чем-то тривиальным из школьных дней, поэтому они не относятся к их написанию очень серьезно. Но очень сложно написать хорошие подсказки для [[§Система памяти с интервальным повторением]]. Например, хорошие подсказки. 

* [[Системы интервального повторения чрезвычайно эффективны]] 
Используя [[§Система памяти с интервальным повторением]], вы можете запоминать ответы на тысячи вопросов всего за несколько минут в день. Это неинтуитивное следствие экспоненциальной работы в [[Эффект интервала]]: [[Интервальное повторение дает экспоненциальную отдачу при небольшом увеличении усилия]].

* [[Детальное кодирование]]
Некоторые пользователи [[§Система памяти с интервальным повторением]] явно пишут подсказки, чтобы продвигать детальное кодирование. Эксперименты Karpicke и Smith (2012) показывают, что это может не сильное улучшение, по сравнению с одной только поисковой практикой. Связанный: [[Практика поиска оказывается более эффективной учебной деятельностью, чем сложное кодирование]].

* [[Системы памяти с интервалом повторения делают выбор в пользу памяти]]
Одним из замечательных последствий использования [[§Система памяти с интервальным повторением]] является то, что они **делают выбор в пользу памяти**. После того, как вы освоили практику памяти, если вы хотите что-то запомнить, вы можете просто заставить это произойти: просто выделите несколько минут, чтобы написать вопрос об этом. В течение следующих нескольких недель вы надолго закодируете это в долговременную память, и это займет у вас всего несколько минут в совокупности: [[Системы интервального повторения чрезвычайно эффективны]].

* [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]] 
[[§Система памяти с интервальным повторением]], такая как Anki, в первую очередь предназначена для того, чтобы помочь людям запомнить много декларативных знаний, таких как словарный запас. Но те же механизмы можно использовать для создания относительно необычных (unorthodox) карт, которые побуждают к применению, синтезу и созданию.

* [[Программируемое внимание]]
Сеансы обзора [[§Система памяти с интервальным повторением]] не просто помогают вам запоминать вещи: они координируют ваше повторяющееся внимание с течением времени на сотнях крошечных задач, которых слишком много, чтобы управлять ими вручную. Подобные системы представляют собой форму программируемого внимания. Вы все время используете более простые формы программируемого внимания: почтовые ящики с функциями повтора и будильника; боты, которые напоминают вам о вещах; [[Twitter - это своего рода программируемое внимание]]. Каковы основные свойства таких систем? Каков их потенциальный охват?

*  [[Сходства и различия между вечнозеленым написанием заметок и Zettelkasten]]
Я встроил [[§Система памяти с интервальным повторением]][[Мнемоническая среда может быть расширена до личных заметок]] в свои заметки. Это существенно изменило среду, но пока я еще не очень хорошо ее понимаю.

* [[Каковы наиболее важные атрибуты хороших подсказок для интервального повторения?]]
Каковы наиболее важные атрибуты хороших подсказок с интервалом повторения?
В этой заметке собраны идеи о том, как закодировать знания в подсказках [[§Система памяти с интервальным повторением]], как для поддержки запоминания фактов, так и для содействия более глубокому пониманию ([[Системы памяти с интервалом повторения могут быть использованы для развития концептуального понимания]]

* [[Уроки Execute Program не разблокируются, пока вы не проверите их предварительные требования]].
Студенты [[Execute Program]] не могут сразу получить доступ ко всем урокам курса. Большинство уроков курса начинаются «заблокированными». Эти уроки зависят от других уроков в курсе: единственными первоначально разблокированными уроками являются {те, у которых нет зависимостей в курсе}. Уроки разблокируются только один раз {все их зависимости не только были прочитаны, но и недавно проверены (с помощью встроенных механизмов системы памяти с интервалом повторения)}.

[[Supermemo]]
Оригинальная цифровая [[§Система памяти с интервальным повторением]], созданная Петром Возняком. Включает поддержку различных связанных систем управления личной информацией, таких как [[Поэтапное чтение]].

* [[Системы памяти с интервалом повторения могут быть использованы для развития концептуального понимания]]
Наиболее очевидный способ использования [[§Система памяти с интервальным повторением]] - это запоминание простых фактов: имен, определений, числовых констант и т.д. Подавляющее большинство пользователей систем памяти, кажется, когда-либо используют их только для этой цели. Но интервальное повторение полезно не только для запоминания простых фактов. Тот же механизм можно использовать для глубокого понимания сложного материала, особенно если вы пишете наши собственные подсказки ([[Насколько важно писать собственные подсказки с интервалом повторения?]]). Такие концептуально ориентированные подсказки могут проверить вас на связи, значениях, причинах и последствиях. Эти более широкие идеи не кажутся наивными фактами, которые можно запомнить, но часто это так. Помимо выгоды от запоминания этих концептуальных идей, установление отношений на более высоком уровне таким образом с течением времени может поддерживать вас в контакте с темой и помогает вам глубже усвоить ее. (связано: [[Мнемоническая среда удерживает читателей в контакте с материалом с течением времени]])

* [[Интервальное повторение может быть полезным инструментом для развития или изменения привычек]].
Вы можете запоминать отрывки из этого с помощью [[§Система памяти с интервальным повторением]], но вы также можете использовать ту же систему, чтобы «закрепить» эту привычку в своем уме. Вот несколько примеров вопросов, которые вы можете попробовать:

* [[Система интервального повторения на уровне ОС]] 
Что, если бы существовала [[§Система памяти с интервальным повторением]] «уровня ОС»? Что, если бы вместо того, чтобы жить «внутри обувной коробки приложения», как в Anki и других существующих инструментах, подсказки были бы больше похожи на файлы в папках - с возможностью чтения и записи во всей системе?

*  [[Важнейшим моментом для оптимизации систем памяти с интервальным повторением является эмоциональная связь с сеансом обзора и его содержанием]]
Многие исследователи пытаются создать более эффективную [[§Система памяти с интервальным повторением]], но я считаю, что критически важно оптимизировать эмоциональную связь с сеансом обзора и его содержанием - и, наоборот, безжалостно минимизировать элементы, вызывающие усталый вздох. Эти системы, оставленные на произвол судьбы, естественным образом распадаются, чтобы производить послушные сеансы, которые кажутся отключенными от всего, что имеет для вас значение.

* [[Мнемоническая среда может быть расширена до личных заметок]]
Используя [[§Система памяти с интервальным повторением]], вы заполните ее заметками о том, что вы изучаете, наблюдаете и думаете. К сожалению, [[Существующие системы интервального повторения препятствуют использованию вечнозеленых заметок]]. Система памяти поможет вам запоминать и постоянно заниматься тем, что вы пишете, но со временем она не сильно поможет вам развить эти идеи. Система [[Вечнозеленые заметки]] поможет вам развивать свои идеи с течением времени, но не поможет вам сохранять и постоянно взаимодействовать с этими заметками ([[Ведение вечнозеленой заметки - это интервальное повторение]]). Итак, вы застряли, либо беспорядочно дублируя свои усилия в двух отдельных системах, либо отказываетесь от преимуществ одной системы.

* [[Сеансы повторения с интервалом часто становятся скучными и оторванными без постоянного потока новых подсказок]] 
Ежедневная практика с [[§Система памяти с интервальным повторением]] должна быть жизненно важной и актуальной. Когда вы не добавляете много новых запросов в течение некоторого времени, ежедневные сеансы проверки начинают казаться застрявшими в прошлом, оторванными от того, о чем вы думаете прямо сейчас. Похоже, что это обычная проблема для новых пользователей, которые добавляют сразу много новых запросов в порыве первоначального энтузиазма, а затем им скучно, когда они все еще просматривают те же самые запросы (и никакие другие) спустя несколько месяцев.

* [[Readwise]]
Они постепенно вводят некоторые особенности [[§Система памяти с интервальным повторением]]. В ходе чтения ваших ежедневных обзоров вы можете плавно «обновить» самые интересные, превратив их в закрытые удаления или даже настраиваемые подсказки для вопросов и ответов. Это умная стратегия для привлечения новичков к интервальному повторению: продукт приносит (небольшую) ценность, если вы полностью пассивны, но по мере того, как пользователи вкладываются, они могут со временем прилагать дополнительные усилия и получать от продукта больше. 

* [[Изучение подсказок для интервального повторения, созданных другим человеком,  обычно - неэффективно]] 
Как только кто-то поймет, что [[Системы памяти с интервалом повторения делают выбор в пользу памяти]] и что [[Изучение все более сложных идей может привести к формированию эффективных чанков размера]], возникает ужасный соблазн поглощать новые знания, загружая чужие колоды подсказок системы памяти с интервальным повторением. Но если предположить, что вы никогда не изучали ее раньше, вам гораздо лучше прочитать главу из учебника по клеточной биологии, чем запоминать чужую колоду.

* [[Системы памяти с интервальным повторением заставляют вас чувствовать, что ваша память хуже, чем она есть на самом деле]]
Одна из проблем при внедрении и повседневном использовании [[§Система памяти с интервальным повторением]] заключается в том, что вы будете тратить почти все свое время на обзор материала, который вам трудно запомнить. Легко запоминающийся материал будет быстро увеличиваться до интервалов в несколько месяцев, поэтому вы потратите на это немного времени по сравнению с подсказкой, которая застревает с интервалами длиной в несколько дней или недель. Ваш ожидаемый уровень точности для всей вашей коллекции может составлять 95 +%, но ваш уровень точности в данном сеансе, вероятно, будет намного ниже.

* [[Системы интервального повторения как катехизис]]
Точно так же обзорные сессии [[§Система памяти с интервальным повторением]] помогают читателям запомнить материал книги, но они также побуждают читателей повторно взаимодействовать с материалом, который они прочитали, с течением времени. Это практически полезно, потому что многие читатели увидят новые связи после того, как посидят с контентом в течение нескольких недель. Но, возможно, это также способствует изменению личности: вы не просто человек, однажды прочитавший это эссе, вы изучаете эту тему в более длительном смысле.

* [[Двухкомпонентная модель памяти]]
При практическом использовании в качестве части системы памяти с интервальным повторением, как правило, должен быть введен третий параметр для сложности элемента, поскольку элементы SRS обычно не являются атомарными с точки зрения нашего мозга.

* [[Системы памяти с интервальным повторением не сразу демонстрируют свои преимущества]]
[[§Система памяти с интервальным повторением]] чрезвычайно эффективны, но кривые начинаются неглубоко. Таким образом, новый пользовательский опыт работы с системой памяти с интервальными повторениями требует предварительных усилий с точки зрения усилий… и отложенных с точки зрения впечатляющих результатов. Сначала это кажется не лучше, чем банальная система карточек, которую они могли бы использовать в школе. И долгосрочная выгода очень неочевидна: интервальное повторение дает экспоненциальную отдачу при небольшом увеличении усилий, но почти ничто другое не дает, а у людей плохая интуиция для экспонент.

* [[Запросы памяти с интервалом повторения должны быть написаны, чтобы препятствовать поверхностному «сопоставлению с образцом»]]
Одна из проблем эффективности [[§Система памяти с интервальным повторением]] заключается в том, что иногда пользователи запоминают ответы на вопросы мелко, посредством «соответствия шаблонов», а не более глубокой интеграции знаний или фактического мышления над вопросом. Но [[Запоминания с интервалом повторения должны гарантировать, что рецензенты должны извлекать ответы из памяти]].

* [[Системы памяти с интервальным повторением могут ускорить неприятные ранние этапы изучения предмета]]
Когда вы впервые взаимодействуете с новым предметом, вам вообще трудно предпринять какие-либо значимые шаги: по крайней мере, какое-то время вы часто не можете удерживать в голове достаточно новых терминов и идей одновременно достаточно долго, чтобы сделать что-нибудь значимое. . В этом контексте [[§Система памяти с интервальным повторением]] может помочь, ускоряя вас через этот неловкий, неприятный этап до точки, когда вы действительно можете получить значимый опыт работы с материалом (связанно: [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]]).

* [[Системы памяти с интервальным повторением помогают сосредоточиться на более глубоком взаимодействии, автоматизируя механическое запоминание]] 
[[Глубокое понимание требует (и является результатом) интенсивной личной связи]].  Таким образом, один из способов увидеть роль [[§Система памяти с интервальным повторением]] состоит в том, что она эффективно автоматизирует важные, но механические элементы обучения, чтобы вы могли сосредоточиться на более интересных, значимых или концептуальных элементах.

* [[Важность улучшения способствует развитию навыков]]
Я подозреваю, что это одна из ключевых причин, почему [[Люди обычно развивают навыки до плато, а затем останавливаются]], и, в частности, почему [[Спортсмены и музыканты гораздо более строго преследуют виртуозность в фундаментальных навыках, чем работники, занимающие знаниями.]]. Если вы никогда не слышали о [[§Система памяти с интервальным повторением]], вероятно, не очевидно, что память можно сделать решенной проблемой. Если вы никогда не слышали о [[Вечнозеленые заметки]], вероятно, не очевидно, что у [[У работников интеллектуальной сферы обычно нет специальных методов для развития идей с течением времени]].

* [[Мнемоническая среда предоставляет подсказки, созданные экспертами]]
** [[Трудно написать хорошие подсказки для интервального повторения]], но [[Мнемоническая среда]] устраняет этот барьер для принятия [[§Система памяти с интервальным повторением]], предоставляя авторские подсказки, которые позволяют читателям сохранять материал, не написав свой собственный.

* [[Подсказки с интервалом повторения в памяти должны кодировать идеи с разных сторон]] 

Flash-карты, как и карточки [[§Система памяти с интервальным повторением]], пользуются заслуженно плохой репутацией отчасти потому, что напоминают людям о механическом обучении в школе. Люди помнят, что их заставляли запоминать отдельные факты, такие как названия различных категорий облаков, и они помнят, как повторяли эти ответы, не добившись какого-либо прочного понимания. Отчасти проблема заключается в том, что [[Цели обучения часто подрывают себя]]: вы, вероятно, действительно не заботились об изучении этого материала. Но помимо этой проблемы, эти изолированные упражнения особенно хрупкие, потому что они развивают знания, которые могут быть использованы только в одном контексте, без связи с более широкими концептуальными рамками и пониманиями: [[Богатое понимание - это связь]].

* [[Подсказки с интервалом повторения в памяти должны однозначно давать конкретный ответ]]

Если вы только что узнали новый способ приготовления гороха, вы можете написать подсказку для системы памяти с интервалом повторения, например: 
«Q. Как приготовить горох су-вид?»
«А. 18 минут при 70°C». 
Но я считаю, что такие вопросы обычно вызывают затруднения - я часто забываю ответ. Кажется, что вопросы, основанные на нескольких независимых идеях, не позволяют решить эту проблему.

*Старый вариант* При написании подсказок для [[§Система памяти с интервальным повторением]] легко случайно написать вопрос, который имеет правильные ответы, помимо того, который вы планируете. Вы должны включить достаточно контекста, чтобы разумные альтернативные ответы были явно неправильными ( [[Подсказки с интервалом повторения в памяти должны быть краткими]] и ( [[Запросы памяти с интервалом повторения должны быть написаны, чтобы препятствовать поверхностному «сопоставлению с образцом»]].  

* [[Регулярная практика запоминания с интервальными повторениями - обременительная привычка]] 

Таким образом, успешная [[§Система памяти с интервальным повторением]] должна немедленно принести значительную личную ценность, чтобы преодолеть этот барьер для принятия. Большинство систем этого не делают: это пустое поле, предназначенное для заполнения пользователем. Но [[Трудно написать хорошие подсказки для интервального повторения]], поэтому большинство пользователей начальные сеансы проверки будут включать небольшое количество посредственных подсказок. И [[Системы памяти с интервальным повторением не сразу демонстрируют свои преимущества]]. Итак, люди уходят (So people churn).	

* [[Запоминания с интервалом повторения обычно должны фокусироваться на одной атомарной единице]]
Если вы только что узнали новый способ приготовления гороха, вы можете написать подсказку для [[§Система памяти с интервальным повторением]], например: «Q. Как приготовить горох су-вид?» «А. 18м при 70°C». Но я нахожу, что подобные вопросы обычно являются борьбой - я часто забываю ответ. Вопросы, которые опираются на несколько независимых идей, похоже, спотыкаются об этой проблемой.

* [[Подсказки с интервалом повторения в памяти должны связывать и связывать идеи]] 
** При использовании [[§Система интервального повторения]] для изучения фактов наивный подход приводит к изучению множества фактов в изоляции: название белка, дата события, размер физической константы. Но поскольку [[Богатое понимание - это связь]], лучше связать эти факты с другими идеями. Это поможет вам запомнить более надежно (за счет [[Детальное кодирование]]), но и развить более богатое понимание, которое выходит за рамки простых фактов.


* [[Самооценка по сравнению с машинной оценкой в системах интервального повторения]]
** В [[§Система интервального повторения]] ключевой вход в систему управления: правильно ли запомнил ли пользователь приглашение? Некоторые системы имеют самопрофилиал: пользователь указывает, запомнил он или нет. Другие просят пользователя ввести ответ; затем система рассчитывает, был ли пользователь правильным.
*  [[Mochi]](https://notes.andymatuschak.org/zxAXSEQidXeYW2XFBj9ftGxz1kTNtV4fXjhZ) 
	*  [[Mochi|https://mochi.cards/]] - это веб- [[§Система записи заметок]], ориентированная на Markdown, со встроенной [[§Система интервального повторения]] 
* [Mnemosyne](https://notes.andymatuschak.org/z7sh4NRXqTaBmXtj3ioDn5fKwEn7qvtjGJhkC) 
* Популярная  [[§Система интервального повторения]] открытым исходным кодом. Основным разработчиком является {Питер Бьенстман}, бельгийский ученый.
** [Execute Program не имеет неисполняемых запросов](https://notes.andymatuschak.org/z3ofZDwWc1m9fs6YMRSBYshXBYBxVnLzWycJy) 
** В этом уроке также не может быть такое типичное приглашение  [[§Система интервального повторения]]:
*  [Лаборатории Саны](https://notes.andymatuschak.org/z4xUYCRTU7uUjZhafKD3jAcn5u5mHsDJwPMcc) 
** Я полагаю, что будет какой-то компонент [[§Система интервального повторения]], учитывая большой круг удержания.
*  [Как могут вмешаться системы памяти с интервалом повторения, когда студент борется с материалом?](https://notes.andymatuschak.org/z432Vjppz3bY9z3NWhrY9f6Co2Jp5DFBGeLGo) 
** Типичная  [система памяти интервального повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) делает две вещи: сокращает интервал до следующей презентации и просит студента повторить приглашение в том же сеансе.
** [Выполнить подсказки программы действуют как подсказки приложения, так и как приглашения на отзыв](https://notes.andymatuschak.org/z28P3kw9MjfiPYe7RGhvRnjHNCiLjJi8YA2U2) 
	* Основной тип подсказки  [Mnemonic medium ](https://notes.andymatuschak.org/z4rRX3qwSSJRsEkdXKwH2shamgHNeRthrMLiF) - это атомарное приглашение на отзыв в типичном стиле  [системы памяти интервального повторения](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) : высокоатомическое, строгое тестирование памяти. Напротив, основной тип приглашения  [программы Execute ](https://notes.andymatuschak.org/z2LGZ8cXBcQMP7YuAHbeVyCSLZoiMXvQNKCok) - или, по крайней мере, выглядит - приглашение приложения (см.  [Мнемонический носитель может помочь читателям применить то, что они узнали с помощью простых запросов приложений](https://notes.andymatuschak.org/z6Y8xDS2AJyE1d34X99y14Sk1A7YCNas5kFjA) ).
*  [Простые подсказки приложения могут быть представлены так же, как и подсказки отзыва в мнемонической среде](https://notes.andymatuschak.org/z7G53bg3it1M673EPpYfNfufbzyRqqKBkt3oZ) 
	* Поскольку опыт этих типов вопросов имеет так много перекрытия, решения проблем проектирования подсказок памяти должны в основном применяться к конструктивным задачам простых подсказок приложений. Это говорит о том, что простые подсказки приложения могут быть представлены с небольшой адаптацией в существующей среде обзора  [системы памяти повторений ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) с  [интервалом](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) .
*  [Механика интервального повторения создает ощущение легкости](https://notes.andymatuschak.org/zCcbyCRksiHRGzg5Z59iJmqZ2Bnv8FcTdfi) 
	* Основная механика  [системы памяти ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) с  [интервалом повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) удаляет принятие решений и гампацию с критического пути. Скажите, что вы хотели бы изучить молекулярный путь клеточного метаболизма. Без SRS вам нужно было бы составить план типа «Я изучаю клеточную биологию по вечерам во вторник», помнить об этом плане и вызывить волю к неоднократному выполнению плана. Но если у вас есть активная практика SRS, вы можете бросить несколько подсказок в свою библиотеку и быть уверены, что со временем увидите их снова.
*  [Избегайте запросов памяти повторения с интервалом из сирот](https://notes.andymatuschak.org/z8QtbrR4cxDshTYBq3RCfwUVkXS8mSjRmAnqk) 
	* При добавлении подсказок в  [систему памяти интервального повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) обычно неправильно писать подсказки о детали, которая кажется интересной, но которая отключена от всего остального, о чем вы думаете. [ Запросы памяти повторения с интервалом должны соединяться и связываться с идеями](https://notes.andymatuschak.org/z49EwwPL1CzKHTyLHXwJJH7hsciCg772Vm5WJ) , и еще лучше заставлять их соединяться и соотноситься с идеями, о которых вы регулярно думаете.
*  [Анки](https://notes.andymatuschak.org/z4zzRb7NCkV71THoNKMzWkw6QRWKr1QCtiAf1) 
	* Популярная  [система памяти повторений с ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) открытым исходным кодом.
*  [Chessable MoveTrainer](https://notes.andymatuschak.org/z8MgFD7B7QRqqGZXsJqeGpm5PJhroPwb6BW2V) 
	* Система  [памяти повторения с интервалом](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) , разработанная специально для изучения шахматных ходов. Он интегрирован с учебным материалом, чередующимися прозами + визуальными объяснениями с викторинами, сродни тому, как  [уроки программы Execute разворачивают свою прозу в ответ на взаимодействие читателей](https://notes.andymatuschak.org/z6rN4nbPWxhYMkzt4rixDUoLD2hi2cvtJi2Ay) .
*  [В какой степени практика системы памяти интервального повторения представляет собой преднамеренную практику?](https://notes.andymatuschak.org/z2DFcZfqWxS8wd6ccX7WB7TvT6gVQtqS6GCCp) 
	* Явились ли сеансы обзора  [системы памяти интервального повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC)  [преднамеренной практикой после Эрикссона](https://notes.andymatuschak.org/z2duRd5eisRomSgxr88Semkgs15pgMRVVR5C) ?
*  [Обучение Хикори](https://notes.andymatuschak.org/z6KUuSL9EoVeQgnYmfmLiVBeaxrqqcn8qMsmG) 
	* Неустраненный стартап, который пытался продать  [систему памяти ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) для  [повторений с интервалом](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC)  в качестве услуги компаниям в учебных целях. Генеральным директором был { [Брайан Тобал](https://notes.andymatuschak.org/z6YhUjKr3xGchwqy8tPSApHLcTCH5zEqHctUw) }.
*  [Заявление о видении](https://notes.andymatuschak.org/z4mSveXDkJDdx1FPb3o2ZYRjho9ihkA2vDT) 
	* Мое текущее исследование исследует *системы памяти*- среды, которые основываются на мощных идеях когнитивной психологии, чтобы сделать *скучное запоминание чего-то*примитивным действием. Предыдущие работы над системами памяти (например, [ Система памяти с интервалом повторений](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) ) была сосредоточена в основном на явном запоминании простых фактов, таких как столицы стран и ключевые даты. Но примитивы, ориентированные на память, могут дополнить более сложные и значимые задачи. Меня интересует, как они могут с пользой надушить и усилить повседневную деятельность - чтение, письмо, разговор, искусство. Например, я считаю, что мы можем создать системы памяти, которые значительно облегчают изучение абстрактных, концептуальных знаний ( [системы памяти интервалов могут быть использованы для развития концептуального понимания](https://notes.andymatuschak.org/z6UZP7P4sRNgRKSvNj7tMV5uW6dDhwwbdZCy9) ). И я считаю, что эти системы могут ускорить творческую работу, помогая людям усвоить ключевые идеи и влияния.
*  [Дуолинго](https://notes.andymatuschak.org/z4Pi11ZtBxEZDwVwzETHP5TtxtzFWZdCVKWMB) 
	* Duolingo - это приложение для изучения языков с компонентами  [системы памяти интервального повторения](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) .
*  [Запросы памяти повторения с интервалом должны гарантировать, что рецензенты должны получать ответы из памяти.](https://notes.andymatuschak.org/z7XLLk9aqBtJLDtP9kemBA87bDtjhpxst1osT) 
	*  [Система памяти с интервалом повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) зависит от  [эффекта тестирования](https://notes.andymatuschak.org/z45mhbpabsigFceeSiRyDXZdvcRqvE2A1xMsn) : вы запомните что-то дольше, если вам придется действительно извлечь его из памяти, чем если вы просто повторно экспонируете на нее. Поэтому при написании подсказок убедитесь, что приглашение требует от читателя фактически получить память, которую вы хотите усилить.
*  [Дизайн приглашения на повторение с интервалом - это проектирование задач для вашего будущего себя.](https://notes.andymatuschak.org/z4TCpuykanZCZYtC5xCccfuiTMZQzdeRv5BuW) 
	*  [Написать подсказки памяти повторения с хорошим интервалом трудно](https://notes.andymatuschak.org/z3ntJ7w9C3uapYp1m3gy2EK6PN788guzEoUNN) , но вот одна полезная ментальная модель. Когда вы делаете запрос на  [систему памяти повторений ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) aSpaced, вы *даете* *себе повторяющуюся задачу*. Проектирование подсказок - это проектирование задач.
*  [Существующие системы повторения с интервалом препятствуют вечнозеленым нотам](https://notes.andymatuschak.org/zZuqUv3XNEFsimMmHszLF87Pr5vTraLjL5Y) 
	* Хотя ноты в  [системе памяти интервального повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) атомарны так же, как и  [вечнозеленые ноты ](https://notes.andymatuschak.org/z4SDCZQeRo4xFEQ8H4qrSqd68ucpgE6LU155C) ( [вечнозеленые ноты должны быть атомарными](https://notes.andymatuschak.org/z4Rrmh17vMBbauEGnFPTZSK3UmdsGExLRfZz1) ), они во многих отношениях *слишком*атомизированы ( [традиционные интервалированные подсказки памяти повторения атомизируются](https://notes.andymatuschak.org/z4w269svvGhA2H5XFr6geaBbPTrxtJRpjt5TE) ). Форма препятствует инкрементному синтезу и перегонке.
*  [Избегайте запросов памяти повторений с интервалом да-нет](https://notes.andymatuschak.org/z6MSMik8PUA2XrBQd1mtHrggFX5TBomVNcoRe) 
	* Да/нет Запросы  [системы памяти с интервалом повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) являются привлекательным неудобством. Многие простые утверждения, которые вы могли бы прочитать, в основном говорят: «X — это правда». По-видимому, простой способ превратить это в вопрос - задать «Истинен ли X?» Но эти вопросы не очень полезны:  [Запросы памяти повторения с интервалом должны гарантировать, что рецензенты должны получить ответы из памяти.](https://notes.andymatuschak.org/z7XLLk9aqBtJLDtP9kemBA87bDtjhpxst1osT) 
*  [Пропущенные ответы в обзорах программы Execute не наказывают студента, если он не «сдается»](https://notes.andymatuschak.org/z4tavSGuFp6SDx5mrqeiseHEB7Q4G7H4KAdTV) 
	* Запросы  [системы памяти повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC)  [Execute Program ](https://notes.andymatuschak.org/z2LGZ8cXBcQMP7YuAHbeVyCSLZoiMXvQNKCok) имеют машинную оценку, поэтому, если читатели делают семантически неважные опечатки в своих ответах, система помечает приглашение неправильно. Эти ложные негативы могут быть довольно раздражающими, особенно с учетом того [, что уроки программы Execute не будут разблокированы до тех пор, пока вы не проанализируете их предварительные условия](https://notes.andymatuschak.org/z43GdwxNzaXGvNs7Hdd57UD9KauMxRGbH45r8) . В курсе SQL коэффициент ложноотрицательных данных достаточно высок, чтобы в начале 2020 года система была изменена таким образом, что неправильные ответы больше не «считаются» как несостоящие, если студент в конечном итоге даст правильный ответ. Читатели могут попробовать столько раз, сколько захотят, и интервал следующего обзора все равно увеличится в соответствии с кривой SRS. Последующие уроки раскрывают независимо от производительности пользователя.
*  [RemNote](https://notes.andymatuschak.org/z6jecLFTkHG5MCFDvhwsd2p8YWykaHr6ZkHTi) 
	*  [RemNote ](https://www.remnote.io/homepage) - это веб- [система записи заметок ](https://notes.andymatuschak.org/z8XrKGDz49o6XxEx7tzGewzrXQnw6jSgv3Yyf) со структурированной моделью знаний и первоклассными операциями для адаптации заметок в  [систему памяти интервальных повторений](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) ,  [мнемонический носитель может быть расширен до личных заметок](https://notes.andymatuschak.org/z5ARNXtS5VxteskEW91S1yYTgAcLABNXsZuJE) .
*  [Как мы можем поместить инструменты для мышления в неразрывно значимых контекстах?](https://notes.andymatuschak.org/zKQs1fYnn4uzdws1KZc9pxkT3NUHastcMYq) 
	* Что, если бы «практика-сессии» для  [системы памяти интервального повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) могут быть полностью высечены, вместо этого структурируя аутентичную среду так, чтобы «практика» естественным образом происходила с помощью ежедневных действий? например, [ Twitter - это своего рода программируемое внимание](https://notes.andymatuschak.org/z5UF8YjTjoYiADeLv2SeBPgKXKosK17cKfUpw) ;  [обслуживание вечнозеленых заметок приближает интервальное повторение](https://notes.andymatuschak.org/z6yfTwYekzvBkVjeH7WBUrSAJhyGTMYDAyYW7) . Похожее:  [Доминирующая культура вокруг распределенных систем памяти повторений закреплена на бессмысленных целях](https://notes.andymatuschak.org/z7i9vs1MyadFaSkGBSwLVsfsQ5UEdN5aS2v9J) .
*  [Как эффективность мнемонического носителя варьируется в зависимости от тем в стиле знаний платформы?](https://notes.andymatuschak.org/z8U56PQX9kwhMi97wnQRCByvqXAM4azb9UP6h) 
	* Существует достаточно экспериментальных данных, которые  [эффект интервала](https://notes.andymatuschak.org/z5oCe7JTrkYfmb6SHE4n5HxisE7PdwS6nmXEw)  применяется ко многим темам, и есть отдельные данные о том, что  [система памяти повторений ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) aSpacedможет эффективно кодировать материал по многим темам. Нам может понадобиться решение проблем для конкретного домена, чтобы установить, как кодировать знания каждой темы в подсказки.
*  [Самооцененные системы памяти повторения с интервалом избегают ложных негативов](https://notes.andymatuschak.org/z7NmYGQd6wLQr3zQcDEPMizghkD9thEhhfg2E) 
	* В сеансе проверки  [системы памяти с интервалом повторения](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) , если я сделаю опечатку в своем SQL-выражении, потому что неправильно запомнил имя функции, это плохо, и мне, вероятно, следует пересмотреть задачу еще раз. Но если я сделаю опечатку, потому что мой палец поскользнулся, я все равно «прав», как брат, я обеспокоен. Ложные негативы чрезвычайно раздражают в машинно-градуированных системах. Они, конечно, также неэффективны, так как подсказка появится раньше. Но разъярение пользователя - это гораздо более серьезная проблема.
*  [Дизайн мнемонической среды опирается на легкие подсказки](https://notes.andymatuschak.org/z7U6zXNGgTz1aEpRDUe6eMxotrhK4tmgprcxh) 
	* **Крошечные задачи:**Хорошие подсказки для отзыва в  [системе памяти интервального повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) тестируют только одно, так что на них можно ответить довольно быстро. Медианное время оперативного рассмотрения  [Quantum Country ](https://notes.andymatuschak.org/z2fBHADWa93EZTuNzuww7V3Vi587ZyZ4FHTHm) составляет 6 секунд (по состоянию на 2019/12 год).
*  [Традиционные интервалированные запросы памяти повторения атомизируются](https://notes.andymatuschak.org/z4w269svvGhA2H5XFr6geaBbPTrxtJRpjt5TE) 
	* Подсказки в  [системе памяти повторений с интервалом](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC)  являются неупорядоченным, неструктурированным набором. Каждая подсказка намеренно довольно мелкозернистая и атомарная, так как это то, что, кажется, лучше всего подходит для эффективного запоминания. Но такое отсутствие структуры создает ощущение блужданий по лесу, способного видеть только один лист за раз.
*  [Системы памяти повторений с интервалом с самоградуальной оценкой более эффективны, чем системы с машинной оценкой](https://notes.andymatuschak.org/z7MGZ4wX4fenUQzR9248QfWU8GFeZbTFGaJRM) 
	*  [Взаимодействие является центром затрат в дизайне интерфейсов](https://notes.andymatuschak.org/z87TFgTr98bz3MNFT26NhegyRCMgdkfNTBAzp) , поэтому  [система памяти повторений с ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) машинной классом накладывает большие затраты на их пользователей. Если пользователь должен ввести ответ, это может легко в 2-4 раза по времени, потраченного на каждую задачу.
*  [Коммерчески успешные системы памяти повторения с интервалом имеют машинную оценку](https://notes.andymatuschak.org/z56zqwNCkjnih3LVJ4Ta5RsXHCaPeJPsM3UCt) 
	* Анки, Мнемозина и СуперМемо являются самооценками. [ Duolingo](https://notes.andymatuschak.org/z4Pi11ZtBxEZDwVwzETHP5TtxtzFWZdCVKWMB) , Memrise и  [Quizlet ](https://notes.andymatuschak.org/z4erShe1C2qB39z4r8yDox1FuM2ZhRJxxTXbN) (по большей части) имеют машинную оценку. Продукты  [системы памяти для повторений с интервалом](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC)  с широким распространением и значительным коммерческим успехом имеют машинную оценку.
*  [Машинно-градуированные системы памяти повторений с интервалом могут выполнять более продвинутое моделирование знаний](https://notes.andymatuschak.org/z4EpkhncuDT2R7NE6cUQg7fzTUf6E6scrVFEg) 
	* Если  [Duolingo ](https://notes.andymatuschak.org/z4Pi11ZtBxEZDwVwzETHP5TtxtzFWZdCVKWMB) попросит меня перевести испанскую фразу на английский язык, и я неправильно переведу одно слово, он может заметить*, какое*слово я неправильно перевел, и соответствующим образом скорректировать расписание для связанных задач. Самооцененная  [система памяти повторения с интервалом ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) может знать только, что весь ответ был неправильным. (Обратите внимание, что я не думаю, что Duolingo на самом деле делает это!)
*  [Самоградуемые системы памяти повторения с интервалом вмещают более широкий спектр запросов](https://notes.andymatuschak.org/zmk4pjEEeKzqJ2keq4vbD59RdicsvMKWJK9m) 
	* «Импровизировать мелодию в пентатоническом миноре». Многие ценные подсказки  [системы памяти повторения интервала](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC)  в разной степени принципиально не могут быть машиносортированы, особенно те, которые описаны в разделе  [Системы памяти повторения интервала, могут быть использованы для запроса на применение, синтез и создание](https://notes.andymatuschak.org/zE8PK4UUAAWK6LEcmr8jja8JdxpUxcf1FUCX) . Самоклассные системы будут более легко удовлетворяться этим более экспериментальным вопросам.
*  [25.08.2019](https://notes.andymatuschak.org/z4hnexPxxn6aTYpPJf7PX65f8gLaZ4cqxhhtR) 
	* 8:18: начало документирования барьеров для принятия в  [системе памяти повторений Spaced](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) , прикручивание скрипичными сюжетами
* [[Канг, С. Х. К., Макдермотт, К. Б., & Рёдигер, Х. Л. (2007). Формат тестирования и корректирующие отзывы изменяют влияние тестирования на долгосрочное удержание. Европейский журнал когнитивной психологии, 19(4–5), 528–558.
 [https://doi.org/10.1080/09541440601056620](https://doi.org/10.1080/09541440601056620) ]]
* Я подведу итоги только второго эксперимента, так как он более актуален для дизайна  [системы памяти для повторения интервалов](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) , который я делаю. Студенты, которые практиковались с помощью короткого ответа, улучшили свой отзыв больше всего по отношению к условию контроля и состоянию, при котором студенты просто читают правильные ответы. Студенты, практикующие короткий ответ, показали лучшие результаты, чем те, кто практиковал с помощью нескольких вариантов после теста с несколькими вариантами ответов (d=0,41), но не значительно лучше, чем практикующие MC на тесте с коротким ответом после.
* [[Карпике, Дж. Д. и Смит, М. А. (2012). Отдельные мнемонические эффекты поисковой практики и развивающего кодирования. Журнал памяти и языка, 67(1), 17–29.
 [https://doi.org/10.1016/j.jml.2012.02.004]](https://doi.org/10.1016/j.jml.2012.02.004) ]
* Производится ли  [эффект тестирования ](https://notes.andymatuschak.org/z45mhbpabsigFceeSiRyDXZdvcRqvE2A1xMsn) с помощью  [разработки кодирования](https://notes.andymatuschak.org/z3ZTBNhJddpewTBgbKAFy2cnSMBiJRpMZWsfB) ? Когда вы просматриваете подсказки в  [системе памяти повторения с интервалом](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) , вы даете себе возможность сформировать новые связи на основе вашего текущего контекста и различных мыслей, которые у вас есть во время сеанса рецензирования.
*  [Вопросы Джулии Эванс](https://notes.andymatuschak.org/z3EVpobr7qBkwbnRh1xRetrzz1ZWynEQpMjxx) 
	* Несмотря на то, что форм-фактор примерно является карточками, он не пытается быть  [системой памяти повторения ](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) с  [интервалом](https://notes.andymatuschak.org/z4eXdSMJFv2qVGXSUEKH4vdcHBrLHcFY1ZGfC) . Это скорее необычная интерактивная статья. Я действительно считаю, что он очень сильно нарушает  [взаимодействие, является центром затрат в дизайне интерфейсов](https://notes.andymatuschak.org/z87TFgTr98bz3MNFT26NhegyRCMgdkfNTBAzp) : Интересно, можно ли будет создать более плавное взаимодействие, возможно, частично вдохновленное быстрым взаимодействием в  [программе Execute Program ](https://notes.andymatuschak.org/z2LGZ8cXBcQMP7YuAHbeVyCSLZoiMXvQNKCok) (см.  [Уроки Execute Program разворачивают их прозу в ответ на взаимодействие с читателями](https://notes.andymatuschak.org/z6rN4nbPWxhYMkzt4rixDUoLD2hi2cvtJi2Ay) ).
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{
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        "$:/Acknowledgements": {
            "title": "$:/Acknowledgements",
            "text": "TiddlyWiki incorporates code from these fine OpenSource projects:\n\n* [[The Stanford Javascript Crypto Library|http://bitwiseshiftleft.github.io/sjcl/]]\n* [[The Jasmine JavaScript Test Framework|http://pivotal.github.io/jasmine/]]\n* [[Normalize.css by Nicolas Gallagher|http://necolas.github.io/normalize.css/]]\n\nAnd media from these projects:\n\n* World flag icons from [[Wikipedia|http://commons.wikimedia.org/wiki/Category:SVG_flags_by_country]]\n"
        },
        "$:/core/copyright.txt": {
            "title": "$:/core/copyright.txt",
            "type": "text/plain",
            "text": "TiddlyWiki created by Jeremy Ruston, (jeremy [at] jermolene [dot] com)\n\nCopyright (c) 2004-2007, Jeremy Ruston\nCopyright (c) 2007-2020, UnaMesa Association\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n* Redistributions of source code must retain the above copyright notice, this\n  list of conditions and the following disclaimer.\n\n* Redistributions in binary form must reproduce the above copyright notice,\n  this list of conditions and the following disclaimer in the documentation\n  and/or other materials provided with the distribution.\n\n* Neither the name of the copyright holder nor the names of its\n  contributors may be used to endorse or promote products derived from\n  this software without specific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 'AS IS'\nAND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\nIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE."
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            "tags": "$:/tags/Image",
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        "$:/core/images/unlocked-padlock": {
            "title": "$:/core/images/unlocked-padlock",
            "tags": "$:/tags/Image",
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        "$:/core/images/up-arrow": {
            "title": "$:/core/images/up-arrow",
            "created": "20150316000544368",
            "modified": "20150316000831867",
            "tags": "$:/tags/Image",
            "text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-up-arrow tc-image-button\" viewBox=\"0 0 128 128\"><path d=\"M63.892.281c2.027 0 4.054.77 5.6 2.316l55.98 55.98a7.92 7.92 0 010 11.196c-3.086 3.085-8.104 3.092-11.196 0L63.894 19.393 13.513 69.774a7.92 7.92 0 01-11.196 0c-3.085-3.086-3.092-8.105 0-11.196l55.98-55.98A7.892 7.892 0 0163.893.28z\"/></svg>"
        },
        "$:/core/images/video": {
            "title": "$:/core/images/video",
            "tags": "$:/tags/Image",
            "text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-video tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M64 12c-34.91 0-55.273 2.917-58.182 5.833C2.91 20.75 0 41.167 0 64.5c0 23.333 2.91 43.75 5.818 46.667C8.728 114.083 29.091 117 64 117c34.91 0 55.273-2.917 58.182-5.833C125.09 108.25 128 87.833 128 64.5c0-23.333-2.91-43.75-5.818-46.667C119.272 14.917 98.909 12 64 12zm-9.084 32.618c-3.813-2.542-6.905-.879-6.905 3.698v31.368c0 4.585 3.099 6.235 6.905 3.698l22.168-14.779c3.813-2.542 3.806-6.669 0-9.206L54.916 44.618z\"/></svg>"
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        "$:/core/images/warning": {
            "title": "$:/core/images/warning",
            "tags": "$:/tags/Image",
            "text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-warning tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M57.072 11c3.079-5.333 10.777-5.333 13.856 0l55.426 96c3.079 5.333-.77 12-6.928 12H8.574c-6.158 0-10.007-6.667-6.928-12l55.426-96zM64 37c-4.418 0-8 3.582-8 7.994v28.012C56 77.421 59.59 81 64 81c4.418 0 8-3.582 8-7.994V44.994C72 40.579 68.41 37 64 37zm0 67a8 8 0 100-16 8 8 0 000 16z\"/></svg>"
        },
        "$:/language/Buttons/AdvancedSearch/Caption": {
            "title": "$:/language/Buttons/AdvancedSearch/Caption",
            "text": "advanced search"
        },
        "$:/language/Buttons/AdvancedSearch/Hint": {
            "title": "$:/language/Buttons/AdvancedSearch/Hint",
            "text": "Advanced search"
        },
        "$:/language/Buttons/Cancel/Caption": {
            "title": "$:/language/Buttons/Cancel/Caption",
            "text": "cancel"
        },
        "$:/language/Buttons/Cancel/Hint": {
            "title": "$:/language/Buttons/Cancel/Hint",
            "text": "Discard changes to this tiddler"
        },
        "$:/language/Buttons/Clone/Caption": {
            "title": "$:/language/Buttons/Clone/Caption",
            "text": "clone"
        },
        "$:/language/Buttons/Clone/Hint": {
            "title": "$:/language/Buttons/Clone/Hint",
            "text": "Clone this tiddler"
        },
        "$:/language/Buttons/Close/Caption": {
            "title": "$:/language/Buttons/Close/Caption",
            "text": "close"
        },
        "$:/language/Buttons/Close/Hint": {
            "title": "$:/language/Buttons/Close/Hint",
            "text": "Close this tiddler"
        },
        "$:/language/Buttons/CloseAll/Caption": {
            "title": "$:/language/Buttons/CloseAll/Caption",
            "text": "close all"
        },
        "$:/language/Buttons/CloseAll/Hint": {
            "title": "$:/language/Buttons/CloseAll/Hint",
            "text": "Close all tiddlers"
        },
        "$:/language/Buttons/CloseOthers/Caption": {
            "title": "$:/language/Buttons/CloseOthers/Caption",
            "text": "close others"
        },
        "$:/language/Buttons/CloseOthers/Hint": {
            "title": "$:/language/Buttons/CloseOthers/Hint",
            "text": "Close other tiddlers"
        },
        "$:/language/Buttons/ControlPanel/Caption": {
            "title": "$:/language/Buttons/ControlPanel/Caption",
            "text": "control panel"
        },
        "$:/language/Buttons/ControlPanel/Hint": {
            "title": "$:/language/Buttons/ControlPanel/Hint",
            "text": "Open control panel"
        },
        "$:/language/Buttons/CopyToClipboard/Caption": {
            "title": "$:/language/Buttons/CopyToClipboard/Caption",
            "text": "copy to clipboard"
        },
        "$:/language/Buttons/CopyToClipboard/Hint": {
            "title": "$:/language/Buttons/CopyToClipboard/Hint",
            "text": "Copy this text to the clipboard"
        },
        "$:/language/Buttons/Delete/Caption": {
            "title": "$:/language/Buttons/Delete/Caption",
            "text": "delete"
        },
        "$:/language/Buttons/Delete/Hint": {
            "title": "$:/language/Buttons/Delete/Hint",
            "text": "Delete this tiddler"
        },
        "$:/language/Buttons/Edit/Caption": {
            "title": "$:/language/Buttons/Edit/Caption",
            "text": "edit"
        },
        "$:/language/Buttons/Edit/Hint": {
            "title": "$:/language/Buttons/Edit/Hint",
            "text": "Edit this tiddler"
        },
        "$:/language/Buttons/Encryption/Caption": {
            "title": "$:/language/Buttons/Encryption/Caption",
            "text": "encryption"
        },
        "$:/language/Buttons/Encryption/Hint": {
            "title": "$:/language/Buttons/Encryption/Hint",
            "text": "Set or clear a password for saving this wiki"
        },
        "$:/language/Buttons/Encryption/ClearPassword/Caption": {
            "title": "$:/language/Buttons/Encryption/ClearPassword/Caption",
            "text": "clear password"
        },
        "$:/language/Buttons/Encryption/ClearPassword/Hint": {
            "title": "$:/language/Buttons/Encryption/ClearPassword/Hint",
            "text": "Clear the password and save this wiki without encryption"
        },
        "$:/language/Buttons/Encryption/SetPassword/Caption": {
            "title": "$:/language/Buttons/Encryption/SetPassword/Caption",
            "text": "set password"
        },
        "$:/language/Buttons/Encryption/SetPassword/Hint": {
            "title": "$:/language/Buttons/Encryption/SetPassword/Hint",
            "text": "Set a password for saving this wiki with encryption"
        },
        "$:/language/Buttons/ExportPage/Caption": {
            "title": "$:/language/Buttons/ExportPage/Caption",
            "text": "export all"
        },
        "$:/language/Buttons/ExportPage/Hint": {
            "title": "$:/language/Buttons/ExportPage/Hint",
            "text": "Export all tiddlers"
        },
        "$:/language/Buttons/ExportTiddler/Caption": {
            "title": "$:/language/Buttons/ExportTiddler/Caption",
            "text": "export tiddler"
        },
        "$:/language/Buttons/ExportTiddler/Hint": {
            "title": "$:/language/Buttons/ExportTiddler/Hint",
            "text": "Export tiddler"
        },
        "$:/language/Buttons/ExportTiddlers/Caption": {
            "title": "$:/language/Buttons/ExportTiddlers/Caption",
            "text": "export tiddlers"
        },
        "$:/language/Buttons/ExportTiddlers/Hint": {
            "title": "$:/language/Buttons/ExportTiddlers/Hint",
            "text": "Export tiddlers"
        },
        "$:/language/Buttons/SidebarSearch/Hint": {
            "title": "$:/language/Buttons/SidebarSearch/Hint",
            "text": "Select the sidebar search field"
        },
        "$:/language/Buttons/Fold/Caption": {
            "title": "$:/language/Buttons/Fold/Caption",
            "text": "fold tiddler"
        },
        "$:/language/Buttons/Fold/Hint": {
            "title": "$:/language/Buttons/Fold/Hint",
            "text": "Fold the body of this tiddler"
        },
        "$:/language/Buttons/Fold/FoldBar/Caption": {
            "title": "$:/language/Buttons/Fold/FoldBar/Caption",
            "text": "fold-bar"
        },
        "$:/language/Buttons/Fold/FoldBar/Hint": {
            "title": "$:/language/Buttons/Fold/FoldBar/Hint",
            "text": "Optional bars to fold and unfold tiddlers"
        },
        "$:/language/Buttons/Unfold/Caption": {
            "title": "$:/language/Buttons/Unfold/Caption",
            "text": "unfold tiddler"
        },
        "$:/language/Buttons/Unfold/Hint": {
            "title": "$:/language/Buttons/Unfold/Hint",
            "text": "Unfold the body of this tiddler"
        },
        "$:/language/Buttons/FoldOthers/Caption": {
            "title": "$:/language/Buttons/FoldOthers/Caption",
            "text": "fold other tiddlers"
        },
        "$:/language/Buttons/FoldOthers/Hint": {
            "title": "$:/language/Buttons/FoldOthers/Hint",
            "text": "Fold the bodies of other opened tiddlers"
        },
        "$:/language/Buttons/FoldAll/Caption": {
            "title": "$:/language/Buttons/FoldAll/Caption",
            "text": "fold all tiddlers"
        },
        "$:/language/Buttons/FoldAll/Hint": {
            "title": "$:/language/Buttons/FoldAll/Hint",
            "text": "Fold the bodies of all opened tiddlers"
        },
        "$:/language/Buttons/UnfoldAll/Caption": {
            "title": "$:/language/Buttons/UnfoldAll/Caption",
            "text": "unfold all tiddlers"
        },
        "$:/language/Buttons/UnfoldAll/Hint": {
            "title": "$:/language/Buttons/UnfoldAll/Hint",
            "text": "Unfold the bodies of all opened tiddlers"
        },
        "$:/language/Buttons/FullScreen/Caption": {
            "title": "$:/language/Buttons/FullScreen/Caption",
            "text": "full-screen"
        },
        "$:/language/Buttons/FullScreen/Hint": {
            "title": "$:/language/Buttons/FullScreen/Hint",
            "text": "Enter or leave full-screen mode"
        },
        "$:/language/Buttons/Help/Caption": {
            "title": "$:/language/Buttons/Help/Caption",
            "text": "help"
        },
        "$:/language/Buttons/Help/Hint": {
            "title": "$:/language/Buttons/Help/Hint",
            "text": "Show help panel"
        },
        "$:/language/Buttons/Import/Caption": {
            "title": "$:/language/Buttons/Import/Caption",
            "text": "import"
        },
        "$:/language/Buttons/Import/Hint": {
            "title": "$:/language/Buttons/Import/Hint",
            "text": "Import many types of file including text, image, TiddlyWiki or JSON"
        },
        "$:/language/Buttons/Info/Caption": {
            "title": "$:/language/Buttons/Info/Caption",
            "text": "info"
        },
        "$:/language/Buttons/Info/Hint": {
            "title": "$:/language/Buttons/Info/Hint",
            "text": "Show information for this tiddler"
        },
        "$:/language/Buttons/Home/Caption": {
            "title": "$:/language/Buttons/Home/Caption",
            "text": "home"
        },
        "$:/language/Buttons/Home/Hint": {
            "title": "$:/language/Buttons/Home/Hint",
            "text": "Open the default tiddlers"
        },
        "$:/language/Buttons/Language/Caption": {
            "title": "$:/language/Buttons/Language/Caption",
            "text": "language"
        },
        "$:/language/Buttons/Language/Hint": {
            "title": "$:/language/Buttons/Language/Hint",
            "text": "Choose the user interface language"
        },
        "$:/language/Buttons/Manager/Caption": {
            "title": "$:/language/Buttons/Manager/Caption",
            "text": "tiddler manager"
        },
        "$:/language/Buttons/Manager/Hint": {
            "title": "$:/language/Buttons/Manager/Hint",
            "text": "Open tiddler manager"
        },
        "$:/language/Buttons/More/Caption": {
            "title": "$:/language/Buttons/More/Caption",
            "text": "more"
        },
        "$:/language/Buttons/More/Hint": {
            "title": "$:/language/Buttons/More/Hint",
            "text": "More actions"
        },
        "$:/language/Buttons/NewHere/Caption": {
            "title": "$:/language/Buttons/NewHere/Caption",
            "text": "new here"
        },
        "$:/language/Buttons/NewHere/Hint": {
            "title": "$:/language/Buttons/NewHere/Hint",
            "text": "Create a new tiddler tagged with this one"
        },
        "$:/language/Buttons/NewJournal/Caption": {
            "title": "$:/language/Buttons/NewJournal/Caption",
            "text": "new journal"
        },
        "$:/language/Buttons/NewJournal/Hint": {
            "title": "$:/language/Buttons/NewJournal/Hint",
            "text": "Create a new journal tiddler"
        },
        "$:/language/Buttons/NewJournalHere/Caption": {
            "title": "$:/language/Buttons/NewJournalHere/Caption",
            "text": "new journal here"
        },
        "$:/language/Buttons/NewJournalHere/Hint": {
            "title": "$:/language/Buttons/NewJournalHere/Hint",
            "text": "Create a new journal tiddler tagged with this one"
        },
        "$:/language/Buttons/NewImage/Caption": {
            "title": "$:/language/Buttons/NewImage/Caption",
            "text": "new image"
        },
        "$:/language/Buttons/NewImage/Hint": {
            "title": "$:/language/Buttons/NewImage/Hint",
            "text": "Create a new image tiddler"
        },
        "$:/language/Buttons/NewMarkdown/Caption": {
            "title": "$:/language/Buttons/NewMarkdown/Caption",
            "text": "new Markdown tiddler"
        },
        "$:/language/Buttons/NewMarkdown/Hint": {
            "title": "$:/language/Buttons/NewMarkdown/Hint",
            "text": "Create a new Markdown tiddler"
        },
        "$:/language/Buttons/NewTiddler/Caption": {
            "title": "$:/language/Buttons/NewTiddler/Caption",
            "text": "new tiddler"
        },
        "$:/language/Buttons/NewTiddler/Hint": {
            "title": "$:/language/Buttons/NewTiddler/Hint",
            "text": "Create a new tiddler"
        },
        "$:/language/Buttons/OpenWindow/Caption": {
            "title": "$:/language/Buttons/OpenWindow/Caption",
            "text": "open in new window"
        },
        "$:/language/Buttons/OpenWindow/Hint": {
            "title": "$:/language/Buttons/OpenWindow/Hint",
            "text": "Open tiddler in new window"
        },
        "$:/language/Buttons/Palette/Caption": {
            "title": "$:/language/Buttons/Palette/Caption",
            "text": "palette"
        },
        "$:/language/Buttons/Palette/Hint": {
            "title": "$:/language/Buttons/Palette/Hint",
            "text": "Choose the colour palette"
        },
        "$:/language/Buttons/Permalink/Caption": {
            "title": "$:/language/Buttons/Permalink/Caption",
            "text": "permalink"
        },
        "$:/language/Buttons/Permalink/Hint": {
            "title": "$:/language/Buttons/Permalink/Hint",
            "text": "Set browser address bar to a direct link to this tiddler"
        },
        "$:/language/Buttons/Permaview/Caption": {
            "title": "$:/language/Buttons/Permaview/Caption",
            "text": "permaview"
        },
        "$:/language/Buttons/Permaview/Hint": {
            "title": "$:/language/Buttons/Permaview/Hint",
            "text": "Set browser address bar to a direct link to all the tiddlers in this story"
        },
        "$:/language/Buttons/Print/Caption": {
            "title": "$:/language/Buttons/Print/Caption",
            "text": "print page"
        },
        "$:/language/Buttons/Print/Hint": {
            "title": "$:/language/Buttons/Print/Hint",
            "text": "Print the current page"
        },
        "$:/language/Buttons/Refresh/Caption": {
            "title": "$:/language/Buttons/Refresh/Caption",
            "text": "refresh"
        },
        "$:/language/Buttons/Refresh/Hint": {
            "title": "$:/language/Buttons/Refresh/Hint",
            "text": "Perform a full refresh of the wiki"
        },
        "$:/language/Buttons/Save/Caption": {
            "title": "$:/language/Buttons/Save/Caption",
            "text": "ok"
        },
        "$:/language/Buttons/Save/Hint": {
            "title": "$:/language/Buttons/Save/Hint",
            "text": "Confirm changes to this tiddler"
        },
        "$:/language/Buttons/SaveWiki/Caption": {
            "title": "$:/language/Buttons/SaveWiki/Caption",
            "text": "save changes"
        },
        "$:/language/Buttons/SaveWiki/Hint": {
            "title": "$:/language/Buttons/SaveWiki/Hint",
            "text": "Save changes"
        },
        "$:/language/Buttons/StoryView/Caption": {
            "title": "$:/language/Buttons/StoryView/Caption",
            "text": "storyview"
        },
        "$:/language/Buttons/StoryView/Hint": {
            "title": "$:/language/Buttons/StoryView/Hint",
            "text": "Choose the story visualisation"
        },
        "$:/language/Buttons/HideSideBar/Caption": {
            "title": "$:/language/Buttons/HideSideBar/Caption",
            "text": "hide sidebar"
        },
        "$:/language/Buttons/HideSideBar/Hint": {
            "title": "$:/language/Buttons/HideSideBar/Hint",
            "text": "Hide sidebar"
        },
        "$:/language/Buttons/ShowSideBar/Caption": {
            "title": "$:/language/Buttons/ShowSideBar/Caption",
            "text": "show sidebar"
        },
        "$:/language/Buttons/ShowSideBar/Hint": {
            "title": "$:/language/Buttons/ShowSideBar/Hint",
            "text": "Show sidebar"
        },
        "$:/language/Buttons/TagManager/Caption": {
            "title": "$:/language/Buttons/TagManager/Caption",
            "text": "tag manager"
        },
        "$:/language/Buttons/TagManager/Hint": {
            "title": "$:/language/Buttons/TagManager/Hint",
            "text": "Open tag manager"
        },
        "$:/language/Buttons/Timestamp/Caption": {
            "title": "$:/language/Buttons/Timestamp/Caption",
            "text": "timestamps"
        },
        "$:/language/Buttons/Timestamp/Hint": {
            "title": "$:/language/Buttons/Timestamp/Hint",
            "text": "Choose whether modifications update timestamps"
        },
        "$:/language/Buttons/Timestamp/On/Caption": {
            "title": "$:/language/Buttons/Timestamp/On/Caption",
            "text": "timestamps are on"
        },
        "$:/language/Buttons/Timestamp/On/Hint": {
            "title": "$:/language/Buttons/Timestamp/On/Hint",
            "text": "Update timestamps when tiddlers are modified"
        },
        "$:/language/Buttons/Timestamp/Off/Caption": {
            "title": "$:/language/Buttons/Timestamp/Off/Caption",
            "text": "timestamps are off"
        },
        "$:/language/Buttons/Timestamp/Off/Hint": {
            "title": "$:/language/Buttons/Timestamp/Off/Hint",
            "text": "Don't update timestamps when tiddlers are modified"
        },
        "$:/language/Buttons/Theme/Caption": {
            "title": "$:/language/Buttons/Theme/Caption",
            "text": "theme"
        },
        "$:/language/Buttons/Theme/Hint": {
            "title": "$:/language/Buttons/Theme/Hint",
            "text": "Choose the display theme"
        },
        "$:/language/Buttons/Bold/Caption": {
            "title": "$:/language/Buttons/Bold/Caption",
            "text": "bold"
        },
        "$:/language/Buttons/Bold/Hint": {
            "title": "$:/language/Buttons/Bold/Hint",
            "text": "Apply bold formatting to selection"
        },
        "$:/language/Buttons/Clear/Caption": {
            "title": "$:/language/Buttons/Clear/Caption",
            "text": "clear"
        },
        "$:/language/Buttons/Clear/Hint": {
            "title": "$:/language/Buttons/Clear/Hint",
            "text": "Clear image to solid colour"
        },
        "$:/language/Buttons/EditorHeight/Caption": {
            "title": "$:/language/Buttons/EditorHeight/Caption",
            "text": "editor height"
        },
        "$:/language/Buttons/EditorHeight/Caption/Auto": {
            "title": "$:/language/Buttons/EditorHeight/Caption/Auto",
            "text": "Automatically adjust height to fit content"
        },
        "$:/language/Buttons/EditorHeight/Caption/Fixed": {
            "title": "$:/language/Buttons/EditorHeight/Caption/Fixed",
            "text": "Fixed height:"
        },
        "$:/language/Buttons/EditorHeight/Hint": {
            "title": "$:/language/Buttons/EditorHeight/Hint",
            "text": "Choose the height of the text editor"
        },
        "$:/language/Buttons/Excise/Caption": {
            "title": "$:/language/Buttons/Excise/Caption",
            "text": "excise"
        },
        "$:/language/Buttons/Excise/Caption/Excise": {
            "title": "$:/language/Buttons/Excise/Caption/Excise",
            "text": "Perform excision"
        },
        "$:/language/Buttons/Excise/Caption/MacroName": {
            "title": "$:/language/Buttons/Excise/Caption/MacroName",
            "text": "Macro name:"
        },
        "$:/language/Buttons/Excise/Caption/NewTitle": {
            "title": "$:/language/Buttons/Excise/Caption/NewTitle",
            "text": "Title of new tiddler:"
        },
        "$:/language/Buttons/Excise/Caption/Replace": {
            "title": "$:/language/Buttons/Excise/Caption/Replace",
            "text": "Replace excised text with:"
        },
        "$:/language/Buttons/Excise/Caption/Replace/Macro": {
            "title": "$:/language/Buttons/Excise/Caption/Replace/Macro",
            "text": "macro"
        },
        "$:/language/Buttons/Excise/Caption/Replace/Link": {
            "title": "$:/language/Buttons/Excise/Caption/Replace/Link",
            "text": "link"
        },
        "$:/language/Buttons/Excise/Caption/Replace/Transclusion": {
            "title": "$:/language/Buttons/Excise/Caption/Replace/Transclusion",
            "text": "transclusion"
        },
        "$:/language/Buttons/Excise/Caption/Tag": {
            "title": "$:/language/Buttons/Excise/Caption/Tag",
            "text": "Tag new tiddler with the title of this tiddler"
        },
        "$:/language/Buttons/Excise/Caption/TiddlerExists": {
            "title": "$:/language/Buttons/Excise/Caption/TiddlerExists",
            "text": "Warning: tiddler already exists"
        },
        "$:/language/Buttons/Excise/Hint": {
            "title": "$:/language/Buttons/Excise/Hint",
            "text": "Excise the selected text into a new tiddler"
        },
        "$:/language/Buttons/Heading1/Caption": {
            "title": "$:/language/Buttons/Heading1/Caption",
            "text": "heading 1"
        },
        "$:/language/Buttons/Heading1/Hint": {
            "title": "$:/language/Buttons/Heading1/Hint",
            "text": "Apply heading level 1 formatting to lines containing selection"
        },
        "$:/language/Buttons/Heading2/Caption": {
            "title": "$:/language/Buttons/Heading2/Caption",
            "text": "heading 2"
        },
        "$:/language/Buttons/Heading2/Hint": {
            "title": "$:/language/Buttons/Heading2/Hint",
            "text": "Apply heading level 2 formatting to lines containing selection"
        },
        "$:/language/Buttons/Heading3/Caption": {
            "title": "$:/language/Buttons/Heading3/Caption",
            "text": "heading 3"
        },
        "$:/language/Buttons/Heading3/Hint": {
            "title": "$:/language/Buttons/Heading3/Hint",
            "text": "Apply heading level 3 formatting to lines containing selection"
        },
        "$:/language/Buttons/Heading4/Caption": {
            "title": "$:/language/Buttons/Heading4/Caption",
            "text": "heading 4"
        },
        "$:/language/Buttons/Heading4/Hint": {
            "title": "$:/language/Buttons/Heading4/Hint",
            "text": "Apply heading level 4 formatting to lines containing selection"
        },
        "$:/language/Buttons/Heading5/Caption": {
            "title": "$:/language/Buttons/Heading5/Caption",
            "text": "heading 5"
        },
        "$:/language/Buttons/Heading5/Hint": {
            "title": "$:/language/Buttons/Heading5/Hint",
            "text": "Apply heading level 5 formatting to lines containing selection"
        },
        "$:/language/Buttons/Heading6/Caption": {
            "title": "$:/language/Buttons/Heading6/Caption",
            "text": "heading 6"
        },
        "$:/language/Buttons/Heading6/Hint": {
            "title": "$:/language/Buttons/Heading6/Hint",
            "text": "Apply heading level 6 formatting to lines containing selection"
        },
        "$:/language/Buttons/Italic/Caption": {
            "title": "$:/language/Buttons/Italic/Caption",
            "text": "italic"
        },
        "$:/language/Buttons/Italic/Hint": {
            "title": "$:/language/Buttons/Italic/Hint",
            "text": "Apply italic formatting to selection"
        },
        "$:/language/Buttons/LineWidth/Caption": {
            "title": "$:/language/Buttons/LineWidth/Caption",
            "text": "line width"
        },
        "$:/language/Buttons/LineWidth/Hint": {
            "title": "$:/language/Buttons/LineWidth/Hint",
            "text": "Set line width for painting"
        },
        "$:/language/Buttons/Link/Caption": {
            "title": "$:/language/Buttons/Link/Caption",
            "text": "link"
        },
        "$:/language/Buttons/Link/Hint": {
            "title": "$:/language/Buttons/Link/Hint",
            "text": "Create wikitext link"
        },
        "$:/language/Buttons/Linkify/Caption": {
            "title": "$:/language/Buttons/Linkify/Caption",
            "text": "wikilink"
        },
        "$:/language/Buttons/Linkify/Hint": {
            "title": "$:/language/Buttons/Linkify/Hint",
            "text": "Wrap selection in square brackets"
        },
        "$:/language/Buttons/ListBullet/Caption": {
            "title": "$:/language/Buttons/ListBullet/Caption",
            "text": "bulleted list"
        },
        "$:/language/Buttons/ListBullet/Hint": {
            "title": "$:/language/Buttons/ListBullet/Hint",
            "text": "Apply bulleted list formatting to lines containing selection"
        },
        "$:/language/Buttons/ListNumber/Caption": {
            "title": "$:/language/Buttons/ListNumber/Caption",
            "text": "numbered list"
        },
        "$:/language/Buttons/ListNumber/Hint": {
            "title": "$:/language/Buttons/ListNumber/Hint",
            "text": "Apply numbered list formatting to lines containing selection"
        },
        "$:/language/Buttons/MonoBlock/Caption": {
            "title": "$:/language/Buttons/MonoBlock/Caption",
            "text": "monospaced block"
        },
        "$:/language/Buttons/MonoBlock/Hint": {
            "title": "$:/language/Buttons/MonoBlock/Hint",
            "text": "Apply monospaced block formatting to lines containing selection"
        },
        "$:/language/Buttons/MonoLine/Caption": {
            "title": "$:/language/Buttons/MonoLine/Caption",
            "text": "monospaced"
        },
        "$:/language/Buttons/MonoLine/Hint": {
            "title": "$:/language/Buttons/MonoLine/Hint",
            "text": "Apply monospaced character formatting to selection"
        },
        "$:/language/Buttons/Opacity/Caption": {
            "title": "$:/language/Buttons/Opacity/Caption",
            "text": "opacity"
        },
        "$:/language/Buttons/Opacity/Hint": {
            "title": "$:/language/Buttons/Opacity/Hint",
            "text": "Set painting opacity"
        },
        "$:/language/Buttons/Paint/Caption": {
            "title": "$:/language/Buttons/Paint/Caption",
            "text": "paint colour"
        },
        "$:/language/Buttons/Paint/Hint": {
            "title": "$:/language/Buttons/Paint/Hint",
            "text": "Set painting colour"
        },
        "$:/language/Buttons/Picture/Caption": {
            "title": "$:/language/Buttons/Picture/Caption",
            "text": "picture"
        },
        "$:/language/Buttons/Picture/Hint": {
            "title": "$:/language/Buttons/Picture/Hint",
            "text": "Insert picture"
        },
        "$:/language/Buttons/Preview/Caption": {
            "title": "$:/language/Buttons/Preview/Caption",
            "text": "preview"
        },
        "$:/language/Buttons/Preview/Hint": {
            "title": "$:/language/Buttons/Preview/Hint",
            "text": "Show preview pane"
        },
        "$:/language/Buttons/PreviewType/Caption": {
            "title": "$:/language/Buttons/PreviewType/Caption",
            "text": "preview type"
        },
        "$:/language/Buttons/PreviewType/Hint": {
            "title": "$:/language/Buttons/PreviewType/Hint",
            "text": "Choose preview type"
        },
        "$:/language/Buttons/Quote/Caption": {
            "title": "$:/language/Buttons/Quote/Caption",
            "text": "quote"
        },
        "$:/language/Buttons/Quote/Hint": {
            "title": "$:/language/Buttons/Quote/Hint",
            "text": "Apply quoted text formatting to lines containing selection"
        },
        "$:/language/Buttons/RotateLeft/Caption": {
            "title": "$:/language/Buttons/RotateLeft/Caption",
            "text": "rotate left"
        },
        "$:/language/Buttons/RotateLeft/Hint": {
            "title": "$:/language/Buttons/RotateLeft/Hint",
            "text": "Rotate image left by 90 degrees"
        },
        "$:/language/Buttons/Size/Caption": {
            "title": "$:/language/Buttons/Size/Caption",
            "text": "image size"
        },
        "$:/language/Buttons/Size/Caption/Height": {
            "title": "$:/language/Buttons/Size/Caption/Height",
            "text": "Height:"
        },
        "$:/language/Buttons/Size/Caption/Resize": {
            "title": "$:/language/Buttons/Size/Caption/Resize",
            "text": "Resize image"
        },
        "$:/language/Buttons/Size/Caption/Width": {
            "title": "$:/language/Buttons/Size/Caption/Width",
            "text": "Width:"
        },
        "$:/language/Buttons/Size/Hint": {
            "title": "$:/language/Buttons/Size/Hint",
            "text": "Set image size"
        },
        "$:/language/Buttons/Stamp/Caption": {
            "title": "$:/language/Buttons/Stamp/Caption",
            "text": "stamp"
        },
        "$:/language/Buttons/Stamp/Caption/New": {
            "title": "$:/language/Buttons/Stamp/Caption/New",
            "text": "Add your own"
        },
        "$:/language/Buttons/Stamp/Hint": {
            "title": "$:/language/Buttons/Stamp/Hint",
            "text": "Insert a preconfigured snippet of text"
        },
        "$:/language/Buttons/Stamp/New/Title": {
            "title": "$:/language/Buttons/Stamp/New/Title",
            "text": "Name as shown in menu"
        },
        "$:/language/Buttons/Stamp/New/Text": {
            "title": "$:/language/Buttons/Stamp/New/Text",
            "text": "Text of snippet. (Remember to add a descriptive title in the caption field)."
        },
        "$:/language/Buttons/Strikethrough/Caption": {
            "title": "$:/language/Buttons/Strikethrough/Caption",
            "text": "strikethrough"
        },
        "$:/language/Buttons/Strikethrough/Hint": {
            "title": "$:/language/Buttons/Strikethrough/Hint",
            "text": "Apply strikethrough formatting to selection"
        },
        "$:/language/Buttons/Subscript/Caption": {
            "title": "$:/language/Buttons/Subscript/Caption",
            "text": "subscript"
        },
        "$:/language/Buttons/Subscript/Hint": {
            "title": "$:/language/Buttons/Subscript/Hint",
            "text": "Apply subscript formatting to selection"
        },
        "$:/language/Buttons/Superscript/Caption": {
            "title": "$:/language/Buttons/Superscript/Caption",
            "text": "superscript"
        },
        "$:/language/Buttons/Superscript/Hint": {
            "title": "$:/language/Buttons/Superscript/Hint",
            "text": "Apply superscript formatting to selection"
        },
        "$:/language/Buttons/ToggleSidebar/Hint": {
            "title": "$:/language/Buttons/ToggleSidebar/Hint",
            "text": "Toggle the sidebar visibility"
        },
        "$:/language/Buttons/Transcludify/Caption": {
            "title": "$:/language/Buttons/Transcludify/Caption",
            "text": "transclusion"
        },
        "$:/language/Buttons/Transcludify/Hint": {
            "title": "$:/language/Buttons/Transcludify/Hint",
            "text": "Wrap selection in curly brackets"
        },
        "$:/language/Buttons/Underline/Caption": {
            "title": "$:/language/Buttons/Underline/Caption",
            "text": "underline"
        },
        "$:/language/Buttons/Underline/Hint": {
            "title": "$:/language/Buttons/Underline/Hint",
            "text": "Apply underline formatting to selection"
        },
        "$:/language/ControlPanel/Advanced/Caption": {
            "title": "$:/language/ControlPanel/Advanced/Caption",
            "text": "Advanced"
        },
        "$:/language/ControlPanel/Advanced/Hint": {
            "title": "$:/language/ControlPanel/Advanced/Hint",
            "text": "Internal information about this TiddlyWiki"
        },
        "$:/language/ControlPanel/Appearance/Caption": {
            "title": "$:/language/ControlPanel/Appearance/Caption",
            "text": "Appearance"
        },
        "$:/language/ControlPanel/Appearance/Hint": {
            "title": "$:/language/ControlPanel/Appearance/Hint",
            "text": "Ways to customise the appearance of your TiddlyWiki."
        },
        "$:/language/ControlPanel/Basics/AnimDuration/Prompt": {
            "title": "$:/language/ControlPanel/Basics/AnimDuration/Prompt",
            "text": "Animation duration"
        },
        "$:/language/ControlPanel/Basics/AutoFocus/Prompt": {
            "title": "$:/language/ControlPanel/Basics/AutoFocus/Prompt",
            "text": "Default focus field for new tiddlers"
        },
        "$:/language/ControlPanel/Basics/Caption": {
            "title": "$:/language/ControlPanel/Basics/Caption",
            "text": "Basics"
        },
        "$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint": {
            "title": "$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint",
            "text": "Use &#91;&#91;double square brackets&#93;&#93; for titles with spaces. Or you can choose to <$button set=\"$:/DefaultTiddlers\" setTo=\"[list[$:/StoryList]]\">retain story ordering</$button>"
        },
        "$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt": {
            "title": "$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt",
            "text": "Default tiddlers"
        },
        "$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint": {
            "title": "$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint",
            "text": "Choose which tiddlers are displayed at startup"
        },
        "$:/language/ControlPanel/Basics/Language/Prompt": {
            "title": "$:/language/ControlPanel/Basics/Language/Prompt",
            "text": "Hello! Current language:"
        },
        "$:/language/ControlPanel/Basics/NewJournal/Title/Prompt": {
            "title": "$:/language/ControlPanel/Basics/NewJournal/Title/Prompt",
            "text": "Title of new journal tiddlers"
        },
        "$:/language/ControlPanel/Basics/NewJournal/Text/Prompt": {
            "title": "$:/language/ControlPanel/Basics/NewJournal/Text/Prompt",
            "text": "Text for new journal tiddlers"
        },
        "$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt": {
            "title": "$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt",
            "text": "Tags for new journal tiddlers"
        },
        "$:/language/ControlPanel/Basics/NewTiddler/Title/Prompt": {
            "title": "$:/language/ControlPanel/Basics/NewTiddler/Title/Prompt",
            "text": "Title of new tiddlers"
        },
        "$:/language/ControlPanel/Basics/NewTiddler/Tags/Prompt": {
            "title": "$:/language/ControlPanel/Basics/NewTiddler/Tags/Prompt",
            "text": "Tags for new tiddlers"
        },
        "$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt": {
            "title": "$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt",
            "text": "Number of overridden shadow tiddlers"
        },
        "$:/language/ControlPanel/Basics/RemoveTags": {
            "title": "$:/language/ControlPanel/Basics/RemoveTags",
            "text": "Update to current format"
        },
        "$:/language/ControlPanel/Basics/RemoveTags/Hint": {
            "title": "$:/language/ControlPanel/Basics/RemoveTags/Hint",
            "text": "Update the tags configuration to the latest format"
        },
        "$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt": {
            "title": "$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt",
            "text": "Number of shadow tiddlers"
        },
        "$:/language/ControlPanel/Basics/Subtitle/Prompt": {
            "title": "$:/language/ControlPanel/Basics/Subtitle/Prompt",
            "text": "Subtitle"
        },
        "$:/language/ControlPanel/Basics/SystemTiddlers/Prompt": {
            "title": "$:/language/ControlPanel/Basics/SystemTiddlers/Prompt",
            "text": "Number of system tiddlers"
        },
        "$:/language/ControlPanel/Basics/Tags/Prompt": {
            "title": "$:/language/ControlPanel/Basics/Tags/Prompt",
            "text": "Number of tags"
        },
        "$:/language/ControlPanel/Basics/Tiddlers/Prompt": {
            "title": "$:/language/ControlPanel/Basics/Tiddlers/Prompt",
            "text": "Number of tiddlers"
        },
        "$:/language/ControlPanel/Basics/Title/Prompt": {
            "title": "$:/language/ControlPanel/Basics/Title/Prompt",
            "text": "Title of this ~TiddlyWiki"
        },
        "$:/language/ControlPanel/Basics/Username/Prompt": {
            "title": "$:/language/ControlPanel/Basics/Username/Prompt",
            "text": "Username for signing edits"
        },
        "$:/language/ControlPanel/Basics/Version/Prompt": {
            "title": "$:/language/ControlPanel/Basics/Version/Prompt",
            "text": "~TiddlyWiki version"
        },
        "$:/language/ControlPanel/EditorTypes/Caption": {
            "title": "$:/language/ControlPanel/EditorTypes/Caption",
            "text": "Editor Types"
        },
        "$:/language/ControlPanel/EditorTypes/Editor/Caption": {
            "title": "$:/language/ControlPanel/EditorTypes/Editor/Caption",
            "text": "Editor"
        },
        "$:/language/ControlPanel/EditorTypes/Hint": {
            "title": "$:/language/ControlPanel/EditorTypes/Hint",
            "text": "These tiddlers determine which editor is used to edit specific tiddler types."
        },
        "$:/language/ControlPanel/EditorTypes/Type/Caption": {
            "title": "$:/language/ControlPanel/EditorTypes/Type/Caption",
            "text": "Type"
        },
        "$:/language/ControlPanel/Info/Caption": {
            "title": "$:/language/ControlPanel/Info/Caption",
            "text": "Info"
        },
        "$:/language/ControlPanel/Info/Hint": {
            "title": "$:/language/ControlPanel/Info/Hint",
            "text": "Information about this TiddlyWiki"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt",
            "text": "Type shortcut here"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Add/Caption": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Add/Caption",
            "text": "add shortcut"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Caption": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Caption",
            "text": "Keyboard Shortcuts"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Hint": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Hint",
            "text": "Manage keyboard shortcut assignments"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/NoShortcuts/Caption": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/NoShortcuts/Caption",
            "text": "No keyboard shortcuts assigned"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint",
            "text": "remove keyboard shortcut"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Platform/All": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/All",
            "text": "All platforms"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Platform/Mac": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Mac",
            "text": "Macintosh platform only"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonMac": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonMac",
            "text": "Non-Macintosh platforms only"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Platform/Linux": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Linux",
            "text": "Linux platform only"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonLinux": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonLinux",
            "text": "Non-Linux platforms only"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Platform/Windows": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Windows",
            "text": "Windows platform only"
        },
        "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonWindows": {
            "title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonWindows",
            "text": "Non-Windows platforms only"
        },
        "$:/language/ControlPanel/LayoutSwitcher/Caption": {
            "title": "$:/language/ControlPanel/LayoutSwitcher/Caption",
            "text": "Layout"
        },
        "$:/language/ControlPanel/LoadedModules/Caption": {
            "title": "$:/language/ControlPanel/LoadedModules/Caption",
            "text": "Loaded Modules"
        },
        "$:/language/ControlPanel/LoadedModules/Hint": {
            "title": "$:/language/ControlPanel/LoadedModules/Hint",
            "text": "These are the currently loaded tiddler modules linked to their source tiddlers. Any italicised modules lack a source tiddler, typically because they were setup during the boot process."
        },
        "$:/language/ControlPanel/Palette/Caption": {
            "title": "$:/language/ControlPanel/Palette/Caption",
            "text": "Palette"
        },
        "$:/language/ControlPanel/Palette/Editor/Clone/Caption": {
            "title": "$:/language/ControlPanel/Palette/Editor/Clone/Caption",
            "text": "clone"
        },
        "$:/language/ControlPanel/Palette/Editor/Clone/Prompt": {
            "title": "$:/language/ControlPanel/Palette/Editor/Clone/Prompt",
            "text": "It is recommended that you clone this shadow palette before editing it"
        },
        "$:/language/ControlPanel/Palette/Editor/Delete/Hint": {
            "title": "$:/language/ControlPanel/Palette/Editor/Delete/Hint",
            "text": "delete this entry from the current palette"
        },
        "$:/language/ControlPanel/Palette/Editor/Names/External/Show": {
            "title": "$:/language/ControlPanel/Palette/Editor/Names/External/Show",
            "text": "Show color names that are not part of the current palette"
        },
        "$:/language/ControlPanel/Palette/Editor/Prompt/Modified": {
            "title": "$:/language/ControlPanel/Palette/Editor/Prompt/Modified",
            "text": "This shadow palette has been modified"
        },
        "$:/language/ControlPanel/Palette/Editor/Prompt": {
            "title": "$:/language/ControlPanel/Palette/Editor/Prompt",
            "text": "Editing"
        },
        "$:/language/ControlPanel/Palette/Editor/Reset/Caption": {
            "title": "$:/language/ControlPanel/Palette/Editor/Reset/Caption",
            "text": "reset"
        },
        "$:/language/ControlPanel/Palette/HideEditor/Caption": {
            "title": "$:/language/ControlPanel/Palette/HideEditor/Caption",
            "text": "hide editor"
        },
        "$:/language/ControlPanel/Palette/Prompt": {
            "title": "$:/language/ControlPanel/Palette/Prompt",
            "text": "Current palette:"
        },
        "$:/language/ControlPanel/Palette/ShowEditor/Caption": {
            "title": "$:/language/ControlPanel/Palette/ShowEditor/Caption",
            "text": "show editor"
        },
        "$:/language/ControlPanel/Parsing/Caption": {
            "title": "$:/language/ControlPanel/Parsing/Caption",
            "text": "Parsing"
        },
        "$:/language/ControlPanel/Parsing/Hint": {
            "title": "$:/language/ControlPanel/Parsing/Hint",
            "text": "Here you can globally disable/enable wiki parser rules. For changes to take effect, save and reload your wiki. Disabling certain parser rules can prevent <$text text=\"TiddlyWiki\"/> from functioning correctly. Use [[safe mode|https://tiddlywiki.com/#SafeMode]] to restore normal operation."
        },
        "$:/language/ControlPanel/Parsing/Block/Caption": {
            "title": "$:/language/ControlPanel/Parsing/Block/Caption",
            "text": "Block Parse Rules"
        },
        "$:/language/ControlPanel/Parsing/Inline/Caption": {
            "title": "$:/language/ControlPanel/Parsing/Inline/Caption",
            "text": "Inline Parse Rules"
        },
        "$:/language/ControlPanel/Parsing/Pragma/Caption": {
            "title": "$:/language/ControlPanel/Parsing/Pragma/Caption",
            "text": "Pragma Parse Rules"
        },
        "$:/language/ControlPanel/Plugins/Add/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Add/Caption",
            "text": "Get more plugins"
        },
        "$:/language/ControlPanel/Plugins/Add/Hint": {
            "title": "$:/language/ControlPanel/Plugins/Add/Hint",
            "text": "Install plugins from the official library"
        },
        "$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint": {
            "title": "$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint",
            "text": "This plugin is already installed at version <$text text=<<installedVersion>>/>"
        },
        "$:/language/ControlPanel/Plugins/AlsoRequires": {
            "title": "$:/language/ControlPanel/Plugins/AlsoRequires",
            "text": "Also requires:"
        },
        "$:/language/ControlPanel/Plugins/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Caption",
            "text": "Plugins"
        },
        "$:/language/ControlPanel/Plugins/Disable/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Disable/Caption",
            "text": "disable"
        },
        "$:/language/ControlPanel/Plugins/Disable/Hint": {
            "title": "$:/language/ControlPanel/Plugins/Disable/Hint",
            "text": "Disable this plugin when reloading page"
        },
        "$:/language/ControlPanel/Plugins/Disabled/Status": {
            "title": "$:/language/ControlPanel/Plugins/Disabled/Status",
            "text": "(disabled)"
        },
        "$:/language/ControlPanel/Plugins/Downgrade/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Downgrade/Caption",
            "text": "downgrade"
        },
        "$:/language/ControlPanel/Plugins/Empty/Hint": {
            "title": "$:/language/ControlPanel/Plugins/Empty/Hint",
            "text": "None"
        },
        "$:/language/ControlPanel/Plugins/Enable/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Enable/Caption",
            "text": "enable"
        },
        "$:/language/ControlPanel/Plugins/Enable/Hint": {
            "title": "$:/language/ControlPanel/Plugins/Enable/Hint",
            "text": "Enable this plugin when reloading page"
        },
        "$:/language/ControlPanel/Plugins/Install/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Install/Caption",
            "text": "install"
        },
        "$:/language/ControlPanel/Plugins/Installed/Hint": {
            "title": "$:/language/ControlPanel/Plugins/Installed/Hint",
            "text": "Currently installed plugins:"
        },
        "$:/language/ControlPanel/Plugins/Languages/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Languages/Caption",
            "text": "Languages"
        },
        "$:/language/ControlPanel/Plugins/Languages/Hint": {
            "title": "$:/language/ControlPanel/Plugins/Languages/Hint",
            "text": "Language pack plugins"
        },
        "$:/language/ControlPanel/Plugins/NoInfoFound/Hint": {
            "title": "$:/language/ControlPanel/Plugins/NoInfoFound/Hint",
            "text": "No ''\"<$text text=<<currentTab>>/>\"'' found"
        },
        "$:/language/ControlPanel/Plugins/NotInstalled/Hint": {
            "title": "$:/language/ControlPanel/Plugins/NotInstalled/Hint",
            "text": "This plugin is not currently installed"
        },
        "$:/language/ControlPanel/Plugins/OpenPluginLibrary": {
            "title": "$:/language/ControlPanel/Plugins/OpenPluginLibrary",
            "text": "open plugin library"
        },
        "$:/language/ControlPanel/Plugins/ClosePluginLibrary": {
            "title": "$:/language/ControlPanel/Plugins/ClosePluginLibrary",
            "text": "close plugin library"
        },
        "$:/language/ControlPanel/Plugins/PluginWillRequireReload": {
            "title": "$:/language/ControlPanel/Plugins/PluginWillRequireReload",
            "text": "(requires reload)"
        },
        "$:/language/ControlPanel/Plugins/Plugins/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Plugins/Caption",
            "text": "Plugins"
        },
        "$:/language/ControlPanel/Plugins/Plugins/Hint": {
            "title": "$:/language/ControlPanel/Plugins/Plugins/Hint",
            "text": "Plugins"
        },
        "$:/language/ControlPanel/Plugins/Reinstall/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Reinstall/Caption",
            "text": "reinstall"
        },
        "$:/language/ControlPanel/Plugins/Themes/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Themes/Caption",
            "text": "Themes"
        },
        "$:/language/ControlPanel/Plugins/Themes/Hint": {
            "title": "$:/language/ControlPanel/Plugins/Themes/Hint",
            "text": "Theme plugins"
        },
        "$:/language/ControlPanel/Plugins/Update/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Update/Caption",
            "text": "update"
        },
        "$:/language/ControlPanel/Plugins/Updates/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Updates/Caption",
            "text": "Updates"
        },
        "$:/language/ControlPanel/Plugins/Updates/Hint": {
            "title": "$:/language/ControlPanel/Plugins/Updates/Hint",
            "text": "Available updates to installed plugins"
        },
        "$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption": {
            "title": "$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption",
            "text": "Update <<update-count>> plugins"
        },
        "$:/language/ControlPanel/Plugins/SubPluginPrompt": {
            "title": "$:/language/ControlPanel/Plugins/SubPluginPrompt",
            "text": "With <<count>> sub-plugins available"
        },
        "$:/language/ControlPanel/Saving/Caption": {
            "title": "$:/language/ControlPanel/Saving/Caption",
            "text": "Saving"
        },
        "$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Description": {
            "title": "$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Description",
            "text": "Permit automatic saving for the download saver"
        },
        "$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Hint": {
            "title": "$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Hint",
            "text": "Enable Autosave for Download Saver"
        },
        "$:/language/ControlPanel/Saving/DownloadSaver/Caption": {
            "title": "$:/language/ControlPanel/Saving/DownloadSaver/Caption",
            "text": "Download Saver"
        },
        "$:/language/ControlPanel/Saving/DownloadSaver/Hint": {
            "title": "$:/language/ControlPanel/Saving/DownloadSaver/Hint",
            "text": "These settings apply to the HTML5-compatible download saver"
        },
        "$:/language/ControlPanel/Saving/General/Caption": {
            "title": "$:/language/ControlPanel/Saving/General/Caption",
            "text": "General"
        },
        "$:/language/ControlPanel/Saving/General/Hint": {
            "title": "$:/language/ControlPanel/Saving/General/Hint",
            "text": "These settings apply to all the loaded savers"
        },
        "$:/language/ControlPanel/Saving/Hint": {
            "title": "$:/language/ControlPanel/Saving/Hint",
            "text": "Settings used for saving the entire TiddlyWiki as a single file via a saver module"
        },
        "$:/language/ControlPanel/Saving/GitService/Branch": {
            "title": "$:/language/ControlPanel/Saving/GitService/Branch",
            "text": "Target branch for saving"
        },
        "$:/language/ControlPanel/Saving/GitService/CommitMessage": {
            "title": "$:/language/ControlPanel/Saving/GitService/CommitMessage",
            "text": "Saved by TiddlyWiki"
        },
        "$:/language/ControlPanel/Saving/GitService/Description": {
            "title": "$:/language/ControlPanel/Saving/GitService/Description",
            "text": "These settings are only used when saving to <<service-name>>"
        },
        "$:/language/ControlPanel/Saving/GitService/Filename": {
            "title": "$:/language/ControlPanel/Saving/GitService/Filename",
            "text": "Filename of target file (e.g. `index.html`)"
        },
        "$:/language/ControlPanel/Saving/GitService/Path": {
            "title": "$:/language/ControlPanel/Saving/GitService/Path",
            "text": "Path to target file (e.g. `/wiki/`)"
        },
        "$:/language/ControlPanel/Saving/GitService/Repo": {
            "title": "$:/language/ControlPanel/Saving/GitService/Repo",
            "text": "Target repository (e.g. `Jermolene/TiddlyWiki5`)"
        },
        "$:/language/ControlPanel/Saving/GitService/ServerURL": {
            "title": "$:/language/ControlPanel/Saving/GitService/ServerURL",
            "text": "Server API URL"
        },
        "$:/language/ControlPanel/Saving/GitService/UserName": {
            "title": "$:/language/ControlPanel/Saving/GitService/UserName",
            "text": "Username"
        },
        "$:/language/ControlPanel/Saving/GitService/GitHub/Caption": {
            "title": "$:/language/ControlPanel/Saving/GitService/GitHub/Caption",
            "text": "~GitHub Saver"
        },
        "$:/language/ControlPanel/Saving/GitService/GitHub/Password": {
            "title": "$:/language/ControlPanel/Saving/GitService/GitHub/Password",
            "text": "Password, OAUTH token, or personal access token (see [[GitHub help page|https://help.github.com/en/articles/creating-a-personal-access-token-for-the-command-line]] for details)"
        },
        "$:/language/ControlPanel/Saving/GitService/GitLab/Caption": {
            "title": "$:/language/ControlPanel/Saving/GitService/GitLab/Caption",
            "text": "~GitLab Saver"
        },
        "$:/language/ControlPanel/Saving/GitService/GitLab/Password": {
            "title": "$:/language/ControlPanel/Saving/GitService/GitLab/Password",
            "text": "Personal access token for API (see [[GitLab help page|https://docs.gitlab.com/ee/user/profile/personal_access_tokens.html]] for details)"
        },
        "$:/language/ControlPanel/Saving/GitService/Gitea/Caption": {
            "title": "$:/language/ControlPanel/Saving/GitService/Gitea/Caption",
            "text": "Gitea Saver"
        },
        "$:/language/ControlPanel/Saving/GitService/Gitea/Password": {
            "title": "$:/language/ControlPanel/Saving/GitService/Gitea/Password",
            "text": "Personal access token for API (via Gitea’s web interface: `Settings | Applications | Generate New Token`)"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading",
            "text": "Advanced Settings"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/BackupDir": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/BackupDir",
            "text": "Backup Directory"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/ControlPanel": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/ControlPanel",
            "text": "~TiddlySpot Control Panel"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/Backups": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/Backups",
            "text": "Backups"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/Caption": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/Caption",
            "text": "~TiddlySpot Saver"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/Description": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/Description",
            "text": "These settings are only used when saving to http://tiddlyspot.com or a compatible remote server"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/Filename": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/Filename",
            "text": "Upload Filename"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/Heading": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/Heading",
            "text": "~TiddlySpot"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/Hint": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/Hint",
            "text": "//The server URL defaults to `http://<wikiname>.tiddlyspot.com/store.cgi` and can be changed to use a custom server address, e.g. `http://example.com/store.php`.//"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/Password": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/Password",
            "text": "Password"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/ReadOnly": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/ReadOnly",
            "text": "The ~TiddlySpot service is currently only available in read-only form. Please see http://tiddlyspot.com/ for the latest details. The ~TiddlySpot saver can still be used to save to compatible servers."
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/ServerURL": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/ServerURL",
            "text": "Server URL"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/UploadDir": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/UploadDir",
            "text": "Upload Directory"
        },
        "$:/language/ControlPanel/Saving/TiddlySpot/UserName": {
            "title": "$:/language/ControlPanel/Saving/TiddlySpot/UserName",
            "text": "Wiki Name"
        },
        "$:/language/ControlPanel/Settings/AutoSave/Caption": {
            "title": "$:/language/ControlPanel/Settings/AutoSave/Caption",
            "text": "Autosave"
        },
        "$:/language/ControlPanel/Settings/AutoSave/Disabled/Description": {
            "title": "$:/language/ControlPanel/Settings/AutoSave/Disabled/Description",
            "text": "Do not save changes automatically"
        },
        "$:/language/ControlPanel/Settings/AutoSave/Enabled/Description": {
            "title": "$:/language/ControlPanel/Settings/AutoSave/Enabled/Description",
            "text": "Save changes automatically"
        },
        "$:/language/ControlPanel/Settings/AutoSave/Hint": {
            "title": "$:/language/ControlPanel/Settings/AutoSave/Hint",
            "text": "Attempt to automatically save changes during editing when using a supporting saver"
        },
        "$:/language/ControlPanel/Settings/CamelCase/Caption": {
            "title": "$:/language/ControlPanel/Settings/CamelCase/Caption",
            "text": "Camel Case Wiki Links"
        },
        "$:/language/ControlPanel/Settings/CamelCase/Hint": {
            "title": "$:/language/ControlPanel/Settings/CamelCase/Hint",
            "text": "You can globally disable automatic linking of ~CamelCase phrases. Requires reload to take effect"
        },
        "$:/language/ControlPanel/Settings/CamelCase/Description": {
            "title": "$:/language/ControlPanel/Settings/CamelCase/Description",
            "text": "Enable automatic ~CamelCase linking"
        },
        "$:/language/ControlPanel/Settings/Caption": {
            "title": "$:/language/ControlPanel/Settings/Caption",
            "text": "Settings"
        },
        "$:/language/ControlPanel/Settings/EditorToolbar/Caption": {
            "title": "$:/language/ControlPanel/Settings/EditorToolbar/Caption",
            "text": "Editor Toolbar"
        },
        "$:/language/ControlPanel/Settings/EditorToolbar/Hint": {
            "title": "$:/language/ControlPanel/Settings/EditorToolbar/Hint",
            "text": "Enable or disable the editor toolbar:"
        },
        "$:/language/ControlPanel/Settings/EditorToolbar/Description": {
            "title": "$:/language/ControlPanel/Settings/EditorToolbar/Description",
            "text": "Show editor toolbar"
        },
        "$:/language/ControlPanel/Settings/InfoPanelMode/Caption": {
            "title": "$:/language/ControlPanel/Settings/InfoPanelMode/Caption",
            "text": "Tiddler Info Panel Mode"
        },
        "$:/language/ControlPanel/Settings/InfoPanelMode/Hint": {
            "title": "$:/language/ControlPanel/Settings/InfoPanelMode/Hint",
            "text": "Control when the tiddler info panel closes:"
        },
        "$:/language/ControlPanel/Settings/InfoPanelMode/Popup/Description": {
            "title": "$:/language/ControlPanel/Settings/InfoPanelMode/Popup/Description",
            "text": "Tiddler info panel closes automatically"
        },
        "$:/language/ControlPanel/Settings/InfoPanelMode/Sticky/Description": {
            "title": "$:/language/ControlPanel/Settings/InfoPanelMode/Sticky/Description",
            "text": "Tiddler info panel stays open until explicitly closed"
        },
        "$:/language/ControlPanel/Settings/Hint": {
            "title": "$:/language/ControlPanel/Settings/Hint",
            "text": "These settings let you customise the behaviour of TiddlyWiki."
        },
        "$:/language/ControlPanel/Settings/NavigationAddressBar/Caption": {
            "title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Caption",
            "text": "Navigation Address Bar"
        },
        "$:/language/ControlPanel/Settings/NavigationAddressBar/Hint": {
            "title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Hint",
            "text": "Behaviour of the browser address bar when navigating to a tiddler:"
        },
        "$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description": {
            "title": "$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description",
            "text": "Do not update the address bar"
        },
        "$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description": {
            "title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description",
            "text": "Include the target tiddler"
        },
        "$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description": {
            "title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description",
            "text": "Include the target tiddler and the current story sequence"
        },
        "$:/language/ControlPanel/Settings/NavigationHistory/Caption": {
            "title": "$:/language/ControlPanel/Settings/NavigationHistory/Caption",
            "text": "Navigation History"
        },
        "$:/language/ControlPanel/Settings/NavigationHistory/Hint": {
            "title": "$:/language/ControlPanel/Settings/NavigationHistory/Hint",
            "text": "Update browser history when navigating to a tiddler:"
        },
        "$:/language/ControlPanel/Settings/NavigationHistory/No/Description": {
            "title": "$:/language/ControlPanel/Settings/NavigationHistory/No/Description",
            "text": "Do not update history"
        },
        "$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description": {
            "title": "$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description",
            "text": "Update history"
        },
        "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption": {
            "title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption",
            "text": "Permalink/permaview Mode"
        },
        "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Hint": {
            "title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Hint",
            "text": "Choose how permalink/permaview is handled:"
        },
        "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/CopyToClipboard/Description": {
            "title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/CopyToClipboard/Description",
            "text": "Copy permalink/permaview URL to clipboard"
        },
        "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/UpdateAddressBar/Description": {
            "title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/UpdateAddressBar/Description",
            "text": "Update address bar with permalink/permaview URL"
        },
        "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption": {
            "title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption",
            "text": "Performance Instrumentation"
        },
        "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint": {
            "title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint",
            "text": "Displays performance statistics in the browser developer console. Requires reload to take effect"
        },
        "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description": {
            "title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description",
            "text": "Enable performance instrumentation"
        },
        "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption": {
            "title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption",
            "text": "Toolbar Button Style"
        },
        "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint": {
            "title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint",
            "text": "Choose the style for toolbar buttons:"
        },
        "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless": {
            "title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless",
            "text": "Borderless"
        },
        "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed": {
            "title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed",
            "text": "Boxed"
        },
        "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded": {
            "title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded",
            "text": "Rounded"
        },
        "$:/language/ControlPanel/Settings/ToolbarButtons/Caption": {
            "title": "$:/language/ControlPanel/Settings/ToolbarButtons/Caption",
            "text": "Toolbar Buttons"
        },
        "$:/language/ControlPanel/Settings/ToolbarButtons/Hint": {
            "title": "$:/language/ControlPanel/Settings/ToolbarButtons/Hint",
            "text": "Default toolbar button appearance:"
        },
        "$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description": {
            "title": "$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description",
            "text": "Include icon"
        },
        "$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description": {
            "title": "$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description",
            "text": "Include text"
        },
        "$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption": {
            "title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption",
            "text": "Default Sidebar Tab"
        },
        "$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint": {
            "title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint",
            "text": "Specify which sidebar tab is displayed by default"
        },
        "$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption": {
            "title": "$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption",
            "text": "Default More Sidebar Tab"
        },
        "$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Hint": {
            "title": "$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Hint",
            "text": "Specify which More sidebar tab is displayed by default"
        },
        "$:/language/ControlPanel/Settings/LinkToBehaviour/Caption": {
            "title": "$:/language/ControlPanel/Settings/LinkToBehaviour/Caption",
            "text": "Tiddler Opening Behaviour"
        },
        "$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint": {
            "title": "$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint",
            "text": "Navigation from //within// the story river"
        },
        "$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint": {
            "title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint",
            "text": "Navigation from //outside// the story river"
        },
        "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove": {
            "title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove",
            "text": "Open above the current tiddler"
        },
        "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow": {
            "title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow",
            "text": "Open below the current tiddler"
        },
        "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop": {
            "title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop",
            "text": "Open at the top of the story river"
        },
        "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom": {
            "title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom",
            "text": "Open at the bottom of the story river"
        },
        "$:/language/ControlPanel/Settings/TitleLinks/Caption": {
            "title": "$:/language/ControlPanel/Settings/TitleLinks/Caption",
            "text": "Tiddler Titles"
        },
        "$:/language/ControlPanel/Settings/TitleLinks/Hint": {
            "title": "$:/language/ControlPanel/Settings/TitleLinks/Hint",
            "text": "Optionally display tiddler titles as links"
        },
        "$:/language/ControlPanel/Settings/TitleLinks/No/Description": {
            "title": "$:/language/ControlPanel/Settings/TitleLinks/No/Description",
            "text": "Do not display tiddler titles as links"
        },
        "$:/language/ControlPanel/Settings/TitleLinks/Yes/Description": {
            "title": "$:/language/ControlPanel/Settings/TitleLinks/Yes/Description",
            "text": "Display tiddler titles as links"
        },
        "$:/language/ControlPanel/Settings/MissingLinks/Caption": {
            "title": "$:/language/ControlPanel/Settings/MissingLinks/Caption",
            "text": "Wiki Links"
        },
        "$:/language/ControlPanel/Settings/MissingLinks/Hint": {
            "title": "$:/language/ControlPanel/Settings/MissingLinks/Hint",
            "text": "Choose whether to link to tiddlers that do not exist yet"
        },
        "$:/language/ControlPanel/Settings/MissingLinks/Description": {
            "title": "$:/language/ControlPanel/Settings/MissingLinks/Description",
            "text": "Enable links to missing tiddlers"
        },
        "$:/language/ControlPanel/StoryView/Caption": {
            "title": "$:/language/ControlPanel/StoryView/Caption",
            "text": "Story View"
        },
        "$:/language/ControlPanel/StoryView/Prompt": {
            "title": "$:/language/ControlPanel/StoryView/Prompt",
            "text": "Current view:"
        },
        "$:/language/ControlPanel/Stylesheets/Caption": {
            "title": "$:/language/ControlPanel/Stylesheets/Caption",
            "text": "Stylesheets"
        },
        "$:/language/ControlPanel/Stylesheets/Expand/Caption": {
            "title": "$:/language/ControlPanel/Stylesheets/Expand/Caption",
            "text": "Expand All"
        },
        "$:/language/ControlPanel/Stylesheets/Hint": {
            "title": "$:/language/ControlPanel/Stylesheets/Hint",
            "text": "This is the rendered CSS of the current stylesheet tiddlers tagged with <<tag \"$:/tags/Stylesheet\">>"
        },
        "$:/language/ControlPanel/Stylesheets/Restore/Caption": {
            "title": "$:/language/ControlPanel/Stylesheets/Restore/Caption",
            "text": "Restore"
        },
        "$:/language/ControlPanel/Theme/Caption": {
            "title": "$:/language/ControlPanel/Theme/Caption",
            "text": "Theme"
        },
        "$:/language/ControlPanel/Theme/Prompt": {
            "title": "$:/language/ControlPanel/Theme/Prompt",
            "text": "Current theme:"
        },
        "$:/language/ControlPanel/TiddlerFields/Caption": {
            "title": "$:/language/ControlPanel/TiddlerFields/Caption",
            "text": "Tiddler Fields"
        },
        "$:/language/ControlPanel/TiddlerFields/Hint": {
            "title": "$:/language/ControlPanel/TiddlerFields/Hint",
            "text": "This is the full set of TiddlerFields in use in this wiki (including system tiddlers but excluding shadow tiddlers)."
        },
        "$:/language/ControlPanel/Toolbars/Caption": {
            "title": "$:/language/ControlPanel/Toolbars/Caption",
            "text": "Toolbars"
        },
        "$:/language/ControlPanel/Toolbars/EditToolbar/Caption": {
            "title": "$:/language/ControlPanel/Toolbars/EditToolbar/Caption",
            "text": "Edit Toolbar"
        },
        "$:/language/ControlPanel/Toolbars/EditToolbar/Hint": {
            "title": "$:/language/ControlPanel/Toolbars/EditToolbar/Hint",
            "text": "Choose which buttons are displayed for tiddlers in edit mode. Drag and drop to change the ordering"
        },
        "$:/language/ControlPanel/Toolbars/Hint": {
            "title": "$:/language/ControlPanel/Toolbars/Hint",
            "text": "Select which toolbar buttons are displayed"
        },
        "$:/language/ControlPanel/Toolbars/PageControls/Caption": {
            "title": "$:/language/ControlPanel/Toolbars/PageControls/Caption",
            "text": "Page Toolbar"
        },
        "$:/language/ControlPanel/Toolbars/PageControls/Hint": {
            "title": "$:/language/ControlPanel/Toolbars/PageControls/Hint",
            "text": "Choose which buttons are displayed on the main page toolbar. Drag and drop to change the ordering"
        },
        "$:/language/ControlPanel/Toolbars/EditorToolbar/Caption": {
            "title": "$:/language/ControlPanel/Toolbars/EditorToolbar/Caption",
            "text": "Editor Toolbar"
        },
        "$:/language/ControlPanel/Toolbars/EditorToolbar/Hint": {
            "title": "$:/language/ControlPanel/Toolbars/EditorToolbar/Hint",
            "text": "Choose which buttons are displayed in the editor toolbar. Note that some buttons will only appear when editing tiddlers of a certain type. Drag and drop to change the ordering"
        },
        "$:/language/ControlPanel/Toolbars/ViewToolbar/Caption": {
            "title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Caption",
            "text": "View Toolbar"
        },
        "$:/language/ControlPanel/Toolbars/ViewToolbar/Hint": {
            "title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Hint",
            "text": "Choose which buttons are displayed for tiddlers in view mode. Drag and drop to change the ordering"
        },
        "$:/language/ControlPanel/Tools/Download/Full/Caption": {
            "title": "$:/language/ControlPanel/Tools/Download/Full/Caption",
            "text": "Download full wiki"
        },
        "$:/language/Date/DaySuffix/1": {
            "title": "$:/language/Date/DaySuffix/1",
            "text": "st"
        },
        "$:/language/Date/DaySuffix/2": {
            "title": "$:/language/Date/DaySuffix/2",
            "text": "nd"
        },
        "$:/language/Date/DaySuffix/3": {
            "title": "$:/language/Date/DaySuffix/3",
            "text": "rd"
        },
        "$:/language/Date/DaySuffix/4": {
            "title": "$:/language/Date/DaySuffix/4",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/5": {
            "title": "$:/language/Date/DaySuffix/5",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/6": {
            "title": "$:/language/Date/DaySuffix/6",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/7": {
            "title": "$:/language/Date/DaySuffix/7",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/8": {
            "title": "$:/language/Date/DaySuffix/8",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/9": {
            "title": "$:/language/Date/DaySuffix/9",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/10": {
            "title": "$:/language/Date/DaySuffix/10",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/11": {
            "title": "$:/language/Date/DaySuffix/11",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/12": {
            "title": "$:/language/Date/DaySuffix/12",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/13": {
            "title": "$:/language/Date/DaySuffix/13",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/14": {
            "title": "$:/language/Date/DaySuffix/14",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/15": {
            "title": "$:/language/Date/DaySuffix/15",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/16": {
            "title": "$:/language/Date/DaySuffix/16",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/17": {
            "title": "$:/language/Date/DaySuffix/17",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/18": {
            "title": "$:/language/Date/DaySuffix/18",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/19": {
            "title": "$:/language/Date/DaySuffix/19",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/20": {
            "title": "$:/language/Date/DaySuffix/20",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/21": {
            "title": "$:/language/Date/DaySuffix/21",
            "text": "st"
        },
        "$:/language/Date/DaySuffix/22": {
            "title": "$:/language/Date/DaySuffix/22",
            "text": "nd"
        },
        "$:/language/Date/DaySuffix/23": {
            "title": "$:/language/Date/DaySuffix/23",
            "text": "rd"
        },
        "$:/language/Date/DaySuffix/24": {
            "title": "$:/language/Date/DaySuffix/24",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/25": {
            "title": "$:/language/Date/DaySuffix/25",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/26": {
            "title": "$:/language/Date/DaySuffix/26",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/27": {
            "title": "$:/language/Date/DaySuffix/27",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/28": {
            "title": "$:/language/Date/DaySuffix/28",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/29": {
            "title": "$:/language/Date/DaySuffix/29",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/30": {
            "title": "$:/language/Date/DaySuffix/30",
            "text": "th"
        },
        "$:/language/Date/DaySuffix/31": {
            "title": "$:/language/Date/DaySuffix/31",
            "text": "st"
        },
        "$:/language/Date/Long/Day/0": {
            "title": "$:/language/Date/Long/Day/0",
            "text": "Sunday"
        },
        "$:/language/Date/Long/Day/1": {
            "title": "$:/language/Date/Long/Day/1",
            "text": "Monday"
        },
        "$:/language/Date/Long/Day/2": {
            "title": "$:/language/Date/Long/Day/2",
            "text": "Tuesday"
        },
        "$:/language/Date/Long/Day/3": {
            "title": "$:/language/Date/Long/Day/3",
            "text": "Wednesday"
        },
        "$:/language/Date/Long/Day/4": {
            "title": "$:/language/Date/Long/Day/4",
            "text": "Thursday"
        },
        "$:/language/Date/Long/Day/5": {
            "title": "$:/language/Date/Long/Day/5",
            "text": "Friday"
        },
        "$:/language/Date/Long/Day/6": {
            "title": "$:/language/Date/Long/Day/6",
            "text": "Saturday"
        },
        "$:/language/Date/Long/Month/1": {
            "title": "$:/language/Date/Long/Month/1",
            "text": "January"
        },
        "$:/language/Date/Long/Month/2": {
            "title": "$:/language/Date/Long/Month/2",
            "text": "February"
        },
        "$:/language/Date/Long/Month/3": {
            "title": "$:/language/Date/Long/Month/3",
            "text": "March"
        },
        "$:/language/Date/Long/Month/4": {
            "title": "$:/language/Date/Long/Month/4",
            "text": "April"
        },
        "$:/language/Date/Long/Month/5": {
            "title": "$:/language/Date/Long/Month/5",
            "text": "May"
        },
        "$:/language/Date/Long/Month/6": {
            "title": "$:/language/Date/Long/Month/6",
            "text": "June"
        },
        "$:/language/Date/Long/Month/7": {
            "title": "$:/language/Date/Long/Month/7",
            "text": "July"
        },
        "$:/language/Date/Long/Month/8": {
            "title": "$:/language/Date/Long/Month/8",
            "text": "August"
        },
        "$:/language/Date/Long/Month/9": {
            "title": "$:/language/Date/Long/Month/9",
            "text": "September"
        },
        "$:/language/Date/Long/Month/10": {
            "title": "$:/language/Date/Long/Month/10",
            "text": "October"
        },
        "$:/language/Date/Long/Month/11": {
            "title": "$:/language/Date/Long/Month/11",
            "text": "November"
        },
        "$:/language/Date/Long/Month/12": {
            "title": "$:/language/Date/Long/Month/12",
            "text": "December"
        },
        "$:/language/Date/Period/am": {
            "title": "$:/language/Date/Period/am",
            "text": "am"
        },
        "$:/language/Date/Period/pm": {
            "title": "$:/language/Date/Period/pm",
            "text": "pm"
        },
        "$:/language/Date/Short/Day/0": {
            "title": "$:/language/Date/Short/Day/0",
            "text": "Sun"
        },
        "$:/language/Date/Short/Day/1": {
            "title": "$:/language/Date/Short/Day/1",
            "text": "Mon"
        },
        "$:/language/Date/Short/Day/2": {
            "title": "$:/language/Date/Short/Day/2",
            "text": "Tue"
        },
        "$:/language/Date/Short/Day/3": {
            "title": "$:/language/Date/Short/Day/3",
            "text": "Wed"
        },
        "$:/language/Date/Short/Day/4": {
            "title": "$:/language/Date/Short/Day/4",
            "text": "Thu"
        },
        "$:/language/Date/Short/Day/5": {
            "title": "$:/language/Date/Short/Day/5",
            "text": "Fri"
        },
        "$:/language/Date/Short/Day/6": {
            "title": "$:/language/Date/Short/Day/6",
            "text": "Sat"
        },
        "$:/language/Date/Short/Month/1": {
            "title": "$:/language/Date/Short/Month/1",
            "text": "Jan"
        },
        "$:/language/Date/Short/Month/2": {
            "title": "$:/language/Date/Short/Month/2",
            "text": "Feb"
        },
        "$:/language/Date/Short/Month/3": {
            "title": "$:/language/Date/Short/Month/3",
            "text": "Mar"
        },
        "$:/language/Date/Short/Month/4": {
            "title": "$:/language/Date/Short/Month/4",
            "text": "Apr"
        },
        "$:/language/Date/Short/Month/5": {
            "title": "$:/language/Date/Short/Month/5",
            "text": "May"
        },
        "$:/language/Date/Short/Month/6": {
            "title": "$:/language/Date/Short/Month/6",
            "text": "Jun"
        },
        "$:/language/Date/Short/Month/7": {
            "title": "$:/language/Date/Short/Month/7",
            "text": "Jul"
        },
        "$:/language/Date/Short/Month/8": {
            "title": "$:/language/Date/Short/Month/8",
            "text": "Aug"
        },
        "$:/language/Date/Short/Month/9": {
            "title": "$:/language/Date/Short/Month/9",
            "text": "Sep"
        },
        "$:/language/Date/Short/Month/10": {
            "title": "$:/language/Date/Short/Month/10",
            "text": "Oct"
        },
        "$:/language/Date/Short/Month/11": {
            "title": "$:/language/Date/Short/Month/11",
            "text": "Nov"
        },
        "$:/language/Date/Short/Month/12": {
            "title": "$:/language/Date/Short/Month/12",
            "text": "Dec"
        },
        "$:/language/RelativeDate/Future/Days": {
            "title": "$:/language/RelativeDate/Future/Days",
            "text": "<<period>> days from now"
        },
        "$:/language/RelativeDate/Future/Hours": {
            "title": "$:/language/RelativeDate/Future/Hours",
            "text": "<<period>> hours from now"
        },
        "$:/language/RelativeDate/Future/Minutes": {
            "title": "$:/language/RelativeDate/Future/Minutes",
            "text": "<<period>> minutes from now"
        },
        "$:/language/RelativeDate/Future/Months": {
            "title": "$:/language/RelativeDate/Future/Months",
            "text": "<<period>> months from now"
        },
        "$:/language/RelativeDate/Future/Second": {
            "title": "$:/language/RelativeDate/Future/Second",
            "text": "1 second from now"
        },
        "$:/language/RelativeDate/Future/Seconds": {
            "title": "$:/language/RelativeDate/Future/Seconds",
            "text": "<<period>> seconds from now"
        },
        "$:/language/RelativeDate/Future/Years": {
            "title": "$:/language/RelativeDate/Future/Years",
            "text": "<<period>> years from now"
        },
        "$:/language/RelativeDate/Past/Days": {
            "title": "$:/language/RelativeDate/Past/Days",
            "text": "<<period>> days ago"
        },
        "$:/language/RelativeDate/Past/Hours": {
            "title": "$:/language/RelativeDate/Past/Hours",
            "text": "<<period>> hours ago"
        },
        "$:/language/RelativeDate/Past/Minutes": {
            "title": "$:/language/RelativeDate/Past/Minutes",
            "text": "<<period>> minutes ago"
        },
        "$:/language/RelativeDate/Past/Months": {
            "title": "$:/language/RelativeDate/Past/Months",
            "text": "<<period>> months ago"
        },
        "$:/language/RelativeDate/Past/Second": {
            "title": "$:/language/RelativeDate/Past/Second",
            "text": "1 second ago"
        },
        "$:/language/RelativeDate/Past/Seconds": {
            "title": "$:/language/RelativeDate/Past/Seconds",
            "text": "<<period>> seconds ago"
        },
        "$:/language/RelativeDate/Past/Years": {
            "title": "$:/language/RelativeDate/Past/Years",
            "text": "<<period>> years ago"
        },
        "$:/language/Docs/ModuleTypes/allfilteroperator": {
            "title": "$:/language/Docs/ModuleTypes/allfilteroperator",
            "text": "A sub-operator for the ''all'' filter operator."
        },
        "$:/language/Docs/ModuleTypes/animation": {
            "title": "$:/language/Docs/ModuleTypes/animation",
            "text": "Animations that may be used with the RevealWidget."
        },
        "$:/language/Docs/ModuleTypes/authenticator": {
            "title": "$:/language/Docs/ModuleTypes/authenticator",
            "text": "Defines how requests are authenticated by the built-in HTTP server."
        },
        "$:/language/Docs/ModuleTypes/bitmapeditoroperation": {
            "title": "$:/language/Docs/ModuleTypes/bitmapeditoroperation",
            "text": "A bitmap editor toolbar operation."
        },
        "$:/language/Docs/ModuleTypes/command": {
            "title": "$:/language/Docs/ModuleTypes/command",
            "text": "Commands that can be executed under Node.js."
        },
        "$:/language/Docs/ModuleTypes/config": {
            "title": "$:/language/Docs/ModuleTypes/config",
            "text": "Data to be inserted into `$tw.config`."
        },
        "$:/language/Docs/ModuleTypes/filteroperator": {
            "title": "$:/language/Docs/ModuleTypes/filteroperator",
            "text": "Individual filter operator methods."
        },
        "$:/language/Docs/ModuleTypes/global": {
            "title": "$:/language/Docs/ModuleTypes/global",
            "text": "Global data to be inserted into `$tw`."
        },
        "$:/language/Docs/ModuleTypes/info": {
            "title": "$:/language/Docs/ModuleTypes/info",
            "text": "Publishes system information via the [[$:/temp/info-plugin]] pseudo-plugin."
        },
        "$:/language/Docs/ModuleTypes/isfilteroperator": {
            "title": "$:/language/Docs/ModuleTypes/isfilteroperator",
            "text": "Operands for the ''is'' filter operator."
        },
        "$:/language/Docs/ModuleTypes/library": {
            "title": "$:/language/Docs/ModuleTypes/library",
            "text": "Generic module type for general purpose JavaScript modules."
        },
        "$:/language/Docs/ModuleTypes/macro": {
            "title": "$:/language/Docs/ModuleTypes/macro",
            "text": "JavaScript macro definitions."
        },
        "$:/language/Docs/ModuleTypes/parser": {
            "title": "$:/language/Docs/ModuleTypes/parser",
            "text": "Parsers for different content types."
        },
        "$:/language/Docs/ModuleTypes/route": {
            "title": "$:/language/Docs/ModuleTypes/route",
            "text": "Defines how individual URL patterns are handled by the built-in HTTP server."
        },
        "$:/language/Docs/ModuleTypes/saver": {
            "title": "$:/language/Docs/ModuleTypes/saver",
            "text": "Savers handle different methods for saving files from the browser."
        },
        "$:/language/Docs/ModuleTypes/startup": {
            "title": "$:/language/Docs/ModuleTypes/startup",
            "text": "Startup functions."
        },
        "$:/language/Docs/ModuleTypes/storyview": {
            "title": "$:/language/Docs/ModuleTypes/storyview",
            "text": "Story views customise the animation and behaviour of list widgets."
        },
        "$:/language/Docs/ModuleTypes/texteditoroperation": {
            "title": "$:/language/Docs/ModuleTypes/texteditoroperation",
            "text": "A text editor toolbar operation."
        },
        "$:/language/Docs/ModuleTypes/tiddlerdeserializer": {
            "title": "$:/language/Docs/ModuleTypes/tiddlerdeserializer",
            "text": "Converts different content types into tiddlers."
        },
        "$:/language/Docs/ModuleTypes/tiddlerfield": {
            "title": "$:/language/Docs/ModuleTypes/tiddlerfield",
            "text": "Defines the behaviour of an individual tiddler field."
        },
        "$:/language/Docs/ModuleTypes/tiddlermethod": {
            "title": "$:/language/Docs/ModuleTypes/tiddlermethod",
            "text": "Adds methods to the `$tw.Tiddler` prototype."
        },
        "$:/language/Docs/ModuleTypes/upgrader": {
            "title": "$:/language/Docs/ModuleTypes/upgrader",
            "text": "Applies upgrade processing to tiddlers during an upgrade/import."
        },
        "$:/language/Docs/ModuleTypes/utils": {
            "title": "$:/language/Docs/ModuleTypes/utils",
            "text": "Adds methods to `$tw.utils`."
        },
        "$:/language/Docs/ModuleTypes/utils-node": {
            "title": "$:/language/Docs/ModuleTypes/utils-node",
            "text": "Adds Node.js-specific methods to `$tw.utils`."
        },
        "$:/language/Docs/ModuleTypes/widget": {
            "title": "$:/language/Docs/ModuleTypes/widget",
            "text": "Widgets encapsulate DOM rendering and refreshing."
        },
        "$:/language/Docs/ModuleTypes/wikimethod": {
            "title": "$:/language/Docs/ModuleTypes/wikimethod",
            "text": "Adds methods to `$tw.Wiki`."
        },
        "$:/language/Docs/ModuleTypes/wikirule": {
            "title": "$:/language/Docs/ModuleTypes/wikirule",
            "text": "Individual parser rules for the main WikiText parser."
        },
        "$:/language/Docs/PaletteColours/alert-background": {
            "title": "$:/language/Docs/PaletteColours/alert-background",
            "text": "Alert background"
        },
        "$:/language/Docs/PaletteColours/alert-border": {
            "title": "$:/language/Docs/PaletteColours/alert-border",
            "text": "Alert border"
        },
        "$:/language/Docs/PaletteColours/alert-highlight": {
            "title": "$:/language/Docs/PaletteColours/alert-highlight",
            "text": "Alert highlight"
        },
        "$:/language/Docs/PaletteColours/alert-muted-foreground": {
            "title": "$:/language/Docs/PaletteColours/alert-muted-foreground",
            "text": "Alert muted foreground"
        },
        "$:/language/Docs/PaletteColours/background": {
            "title": "$:/language/Docs/PaletteColours/background",
            "text": "General background"
        },
        "$:/language/Docs/PaletteColours/blockquote-bar": {
            "title": "$:/language/Docs/PaletteColours/blockquote-bar",
            "text": "Blockquote bar"
        },
        "$:/language/Docs/PaletteColours/button-background": {
            "title": "$:/language/Docs/PaletteColours/button-background",
            "text": "Default button background"
        },
        "$:/language/Docs/PaletteColours/button-border": {
            "title": "$:/language/Docs/PaletteColours/button-border",
            "text": "Default button border"
        },
        "$:/language/Docs/PaletteColours/button-foreground": {
            "title": "$:/language/Docs/PaletteColours/button-foreground",
            "text": "Default button foreground"
        },
        "$:/language/Docs/PaletteColours/dirty-indicator": {
            "title": "$:/language/Docs/PaletteColours/dirty-indicator",
            "text": "Unsaved changes indicator"
        },
        "$:/language/Docs/PaletteColours/code-background": {
            "title": "$:/language/Docs/PaletteColours/code-background",
            "text": "Code background"
        },
        "$:/language/Docs/PaletteColours/code-border": {
            "title": "$:/language/Docs/PaletteColours/code-border",
            "text": "Code border"
        },
        "$:/language/Docs/PaletteColours/code-foreground": {
            "title": "$:/language/Docs/PaletteColours/code-foreground",
            "text": "Code foreground"
        },
        "$:/language/Docs/PaletteColours/download-background": {
            "title": "$:/language/Docs/PaletteColours/download-background",
            "text": "Download button background"
        },
        "$:/language/Docs/PaletteColours/download-foreground": {
            "title": "$:/language/Docs/PaletteColours/download-foreground",
            "text": "Download button foreground"
        },
        "$:/language/Docs/PaletteColours/dragger-background": {
            "title": "$:/language/Docs/PaletteColours/dragger-background",
            "text": "Dragger background"
        },
        "$:/language/Docs/PaletteColours/dragger-foreground": {
            "title": "$:/language/Docs/PaletteColours/dragger-foreground",
            "text": "Dragger foreground"
        },
        "$:/language/Docs/PaletteColours/dropdown-background": {
            "title": "$:/language/Docs/PaletteColours/dropdown-background",
            "text": "Dropdown background"
        },
        "$:/language/Docs/PaletteColours/dropdown-border": {
            "title": "$:/language/Docs/PaletteColours/dropdown-border",
            "text": "Dropdown border"
        },
        "$:/language/Docs/PaletteColours/dropdown-tab-background-selected": {
            "title": "$:/language/Docs/PaletteColours/dropdown-tab-background-selected",
            "text": "Dropdown tab background for selected tabs"
        },
        "$:/language/Docs/PaletteColours/dropdown-tab-background": {
            "title": "$:/language/Docs/PaletteColours/dropdown-tab-background",
            "text": "Dropdown tab background"
        },
        "$:/language/Docs/PaletteColours/dropzone-background": {
            "title": "$:/language/Docs/PaletteColours/dropzone-background",
            "text": "Dropzone background"
        },
        "$:/language/Docs/PaletteColours/external-link-background-hover": {
            "title": "$:/language/Docs/PaletteColours/external-link-background-hover",
            "text": "External link background hover"
        },
        "$:/language/Docs/PaletteColours/external-link-background-visited": {
            "title": "$:/language/Docs/PaletteColours/external-link-background-visited",
            "text": "External link background visited"
        },
        "$:/language/Docs/PaletteColours/external-link-background": {
            "title": "$:/language/Docs/PaletteColours/external-link-background",
            "text": "External link background"
        },
        "$:/language/Docs/PaletteColours/external-link-foreground-hover": {
            "title": "$:/language/Docs/PaletteColours/external-link-foreground-hover",
            "text": "External link foreground hover"
        },
        "$:/language/Docs/PaletteColours/external-link-foreground-visited": {
            "title": "$:/language/Docs/PaletteColours/external-link-foreground-visited",
            "text": "External link foreground visited"
        },
        "$:/language/Docs/PaletteColours/external-link-foreground": {
            "title": "$:/language/Docs/PaletteColours/external-link-foreground",
            "text": "External link foreground"
        },
        "$:/language/Docs/PaletteColours/foreground": {
            "title": "$:/language/Docs/PaletteColours/foreground",
            "text": "General foreground"
        },
        "$:/language/Docs/PaletteColours/menubar-background": {
            "title": "$:/language/Docs/PaletteColours/menubar-background",
            "text": "Menu bar background"
        },
        "$:/language/Docs/PaletteColours/menubar-foreground": {
            "title": "$:/language/Docs/PaletteColours/menubar-foreground",
            "text": "Menu bar foreground"
        },
        "$:/language/Docs/PaletteColours/message-background": {
            "title": "$:/language/Docs/PaletteColours/message-background",
            "text": "Message box background"
        },
        "$:/language/Docs/PaletteColours/message-border": {
            "title": "$:/language/Docs/PaletteColours/message-border",
            "text": "Message box border"
        },
        "$:/language/Docs/PaletteColours/message-foreground": {
            "title": "$:/language/Docs/PaletteColours/message-foreground",
            "text": "Message box foreground"
        },
        "$:/language/Docs/PaletteColours/modal-backdrop": {
            "title": "$:/language/Docs/PaletteColours/modal-backdrop",
            "text": "Modal backdrop"
        },
        "$:/language/Docs/PaletteColours/modal-background": {
            "title": "$:/language/Docs/PaletteColours/modal-background",
            "text": "Modal background"
        },
        "$:/language/Docs/PaletteColours/modal-border": {
            "title": "$:/language/Docs/PaletteColours/modal-border",
            "text": "Modal border"
        },
        "$:/language/Docs/PaletteColours/modal-footer-background": {
            "title": "$:/language/Docs/PaletteColours/modal-footer-background",
            "text": "Modal footer background"
        },
        "$:/language/Docs/PaletteColours/modal-footer-border": {
            "title": "$:/language/Docs/PaletteColours/modal-footer-border",
            "text": "Modal footer border"
        },
        "$:/language/Docs/PaletteColours/modal-header-border": {
            "title": "$:/language/Docs/PaletteColours/modal-header-border",
            "text": "Modal header border"
        },
        "$:/language/Docs/PaletteColours/muted-foreground": {
            "title": "$:/language/Docs/PaletteColours/muted-foreground",
            "text": "General muted foreground"
        },
        "$:/language/Docs/PaletteColours/notification-background": {
            "title": "$:/language/Docs/PaletteColours/notification-background",
            "text": "Notification background"
        },
        "$:/language/Docs/PaletteColours/notification-border": {
            "title": "$:/language/Docs/PaletteColours/notification-border",
            "text": "Notification border"
        },
        "$:/language/Docs/PaletteColours/page-background": {
            "title": "$:/language/Docs/PaletteColours/page-background",
            "text": "Page background"
        },
        "$:/language/Docs/PaletteColours/pre-background": {
            "title": "$:/language/Docs/PaletteColours/pre-background",
            "text": "Preformatted code background"
        },
        "$:/language/Docs/PaletteColours/pre-border": {
            "title": "$:/language/Docs/PaletteColours/pre-border",
            "text": "Preformatted code border"
        },
        "$:/language/Docs/PaletteColours/primary": {
            "title": "$:/language/Docs/PaletteColours/primary",
            "text": "General primary"
        },
        "$:/language/Docs/PaletteColours/select-tag-background": {
            "title": "$:/language/Docs/PaletteColours/select-tag-background",
            "text": "`<select>` element background"
        },
        "$:/language/Docs/PaletteColours/select-tag-foreground": {
            "title": "$:/language/Docs/PaletteColours/select-tag-foreground",
            "text": "`<select>` element text"
        },
        "$:/language/Docs/PaletteColours/sidebar-button-foreground": {
            "title": "$:/language/Docs/PaletteColours/sidebar-button-foreground",
            "text": "Sidebar button foreground"
        },
        "$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover": {
            "title": "$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover",
            "text": "Sidebar controls foreground hover"
        },
        "$:/language/Docs/PaletteColours/sidebar-controls-foreground": {
            "title": "$:/language/Docs/PaletteColours/sidebar-controls-foreground",
            "text": "Sidebar controls foreground"
        },
        "$:/language/Docs/PaletteColours/sidebar-foreground-shadow": {
            "title": "$:/language/Docs/PaletteColours/sidebar-foreground-shadow",
            "text": "Sidebar foreground shadow"
        },
        "$:/language/Docs/PaletteColours/sidebar-foreground": {
            "title": "$:/language/Docs/PaletteColours/sidebar-foreground",
            "text": "Sidebar foreground"
        },
        "$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover": {
            "title": "$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover",
            "text": "Sidebar muted foreground hover"
        },
        "$:/language/Docs/PaletteColours/sidebar-muted-foreground": {
            "title": "$:/language/Docs/PaletteColours/sidebar-muted-foreground",
            "text": "Sidebar muted foreground"
        },
        "$:/language/Docs/PaletteColours/sidebar-tab-background-selected": {
            "title": "$:/language/Docs/PaletteColours/sidebar-tab-background-selected",
            "text": "Sidebar tab background for selected tabs"
        },
        "$:/language/Docs/PaletteColours/sidebar-tab-background": {
            "title": "$:/language/Docs/PaletteColours/sidebar-tab-background",
            "text": "Sidebar tab background"
        },
        "$:/language/Docs/PaletteColours/sidebar-tab-border-selected": {
            "title": "$:/language/Docs/PaletteColours/sidebar-tab-border-selected",
            "text": "Sidebar tab border for selected tabs"
        },
        "$:/language/Docs/PaletteColours/sidebar-tab-border": {
            "title": "$:/language/Docs/PaletteColours/sidebar-tab-border",
            "text": "Sidebar tab border"
        },
        "$:/language/Docs/PaletteColours/sidebar-tab-divider": {
            "title": "$:/language/Docs/PaletteColours/sidebar-tab-divider",
            "text": "Sidebar tab divider"
        },
        "$:/language/Docs/PaletteColours/sidebar-tab-foreground-selected": {
            "title": "$:/language/Docs/PaletteColours/sidebar-tab-foreground-selected",
            "text": "Sidebar tab foreground for selected tabs"
        },
        "$:/language/Docs/PaletteColours/sidebar-tab-foreground": {
            "title": "$:/language/Docs/PaletteColours/sidebar-tab-foreground",
            "text": "Sidebar tab foreground"
        },
        "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground-hover": {
            "title": "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground-hover",
            "text": "Sidebar tiddler link foreground hover"
        },
        "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground": {
            "title": "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground",
            "text": "Sidebar tiddler link foreground"
        },
        "$:/language/Docs/PaletteColours/site-title-foreground": {
            "title": "$:/language/Docs/PaletteColours/site-title-foreground",
            "text": "Site title foreground"
        },
        "$:/language/Docs/PaletteColours/static-alert-foreground": {
            "title": "$:/language/Docs/PaletteColours/static-alert-foreground",
            "text": "Static alert foreground"
        },
        "$:/language/Docs/PaletteColours/tab-background-selected": {
            "title": "$:/language/Docs/PaletteColours/tab-background-selected",
            "text": "Tab background for selected tabs"
        },
        "$:/language/Docs/PaletteColours/tab-background": {
            "title": "$:/language/Docs/PaletteColours/tab-background",
            "text": "Tab background"
        },
        "$:/language/Docs/PaletteColours/tab-border-selected": {
            "title": "$:/language/Docs/PaletteColours/tab-border-selected",
            "text": "Tab border for selected tabs"
        },
        "$:/language/Docs/PaletteColours/tab-border": {
            "title": "$:/language/Docs/PaletteColours/tab-border",
            "text": "Tab border"
        },
        "$:/language/Docs/PaletteColours/tab-divider": {
            "title": "$:/language/Docs/PaletteColours/tab-divider",
            "text": "Tab divider"
        },
        "$:/language/Docs/PaletteColours/tab-foreground-selected": {
            "title": "$:/language/Docs/PaletteColours/tab-foreground-selected",
            "text": "Tab foreground for selected tabs"
        },
        "$:/language/Docs/PaletteColours/tab-foreground": {
            "title": "$:/language/Docs/PaletteColours/tab-foreground",
            "text": "Tab foreground"
        },
        "$:/language/Docs/PaletteColours/table-border": {
            "title": "$:/language/Docs/PaletteColours/table-border",
            "text": "Table border"
        },
        "$:/language/Docs/PaletteColours/table-footer-background": {
            "title": "$:/language/Docs/PaletteColours/table-footer-background",
            "text": "Table footer background"
        },
        "$:/language/Docs/PaletteColours/table-header-background": {
            "title": "$:/language/Docs/PaletteColours/table-header-background",
            "text": "Table header background"
        },
        "$:/language/Docs/PaletteColours/tag-background": {
            "title": "$:/language/Docs/PaletteColours/tag-background",
            "text": "Tag background"
        },
        "$:/language/Docs/PaletteColours/tag-foreground": {
            "title": "$:/language/Docs/PaletteColours/tag-foreground",
            "text": "Tag foreground"
        },
        "$:/language/Docs/PaletteColours/tiddler-background": {
            "title": "$:/language/Docs/PaletteColours/tiddler-background",
            "text": "Tiddler background"
        },
        "$:/language/Docs/PaletteColours/tiddler-border": {
            "title": "$:/language/Docs/PaletteColours/tiddler-border",
            "text": "Tiddler border"
        },
        "$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover": {
            "title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover",
            "text": "Tiddler controls foreground hover"
        },
        "$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected": {
            "title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected",
            "text": "Tiddler controls foreground for selected controls"
        },
        "$:/language/Docs/PaletteColours/tiddler-controls-foreground": {
            "title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground",
            "text": "Tiddler controls foreground"
        },
        "$:/language/Docs/PaletteColours/tiddler-editor-background": {
            "title": "$:/language/Docs/PaletteColours/tiddler-editor-background",
            "text": "Tiddler editor background"
        },
        "$:/language/Docs/PaletteColours/tiddler-editor-border-image": {
            "title": "$:/language/Docs/PaletteColours/tiddler-editor-border-image",
            "text": "Tiddler editor border image"
        },
        "$:/language/Docs/PaletteColours/tiddler-editor-border": {
            "title": "$:/language/Docs/PaletteColours/tiddler-editor-border",
            "text": "Tiddler editor border"
        },
        "$:/language/Docs/PaletteColours/tiddler-editor-fields-even": {
            "title": "$:/language/Docs/PaletteColours/tiddler-editor-fields-even",
            "text": "Tiddler editor background for even fields"
        },
        "$:/language/Docs/PaletteColours/tiddler-editor-fields-odd": {
            "title": "$:/language/Docs/PaletteColours/tiddler-editor-fields-odd",
            "text": "Tiddler editor background for odd fields"
        },
        "$:/language/Docs/PaletteColours/tiddler-info-background": {
            "title": "$:/language/Docs/PaletteColours/tiddler-info-background",
            "text": "Tiddler info panel background"
        },
        "$:/language/Docs/PaletteColours/tiddler-info-border": {
            "title": "$:/language/Docs/PaletteColours/tiddler-info-border",
            "text": "Tiddler info panel border"
        },
        "$:/language/Docs/PaletteColours/tiddler-info-tab-background": {
            "title": "$:/language/Docs/PaletteColours/tiddler-info-tab-background",
            "text": "Tiddler info panel tab background"
        },
        "$:/language/Docs/PaletteColours/tiddler-link-background": {
            "title": "$:/language/Docs/PaletteColours/tiddler-link-background",
            "text": "Tiddler link background"
        },
        "$:/language/Docs/PaletteColours/tiddler-link-foreground": {
            "title": "$:/language/Docs/PaletteColours/tiddler-link-foreground",
            "text": "Tiddler link foreground"
        },
        "$:/language/Docs/PaletteColours/tiddler-subtitle-foreground": {
            "title": "$:/language/Docs/PaletteColours/tiddler-subtitle-foreground",
            "text": "Tiddler subtitle foreground"
        },
        "$:/language/Docs/PaletteColours/tiddler-title-foreground": {
            "title": "$:/language/Docs/PaletteColours/tiddler-title-foreground",
            "text": "Tiddler title foreground"
        },
        "$:/language/Docs/PaletteColours/toolbar-new-button": {
            "title": "$:/language/Docs/PaletteColours/toolbar-new-button",
            "text": "Toolbar 'new tiddler' button foreground"
        },
        "$:/language/Docs/PaletteColours/toolbar-options-button": {
            "title": "$:/language/Docs/PaletteColours/toolbar-options-button",
            "text": "Toolbar 'options' button foreground"
        },
        "$:/language/Docs/PaletteColours/toolbar-save-button": {
            "title": "$:/language/Docs/PaletteColours/toolbar-save-button",
            "text": "Toolbar 'save' button foreground"
        },
        "$:/language/Docs/PaletteColours/toolbar-info-button": {
            "title": "$:/language/Docs/PaletteColours/toolbar-info-button",
            "text": "Toolbar 'info' button foreground"
        },
        "$:/language/Docs/PaletteColours/toolbar-edit-button": {
            "title": "$:/language/Docs/PaletteColours/toolbar-edit-button",
            "text": "Toolbar 'edit' button foreground"
        },
        "$:/language/Docs/PaletteColours/toolbar-close-button": {
            "title": "$:/language/Docs/PaletteColours/toolbar-close-button",
            "text": "Toolbar 'close' button foreground"
        },
        "$:/language/Docs/PaletteColours/toolbar-delete-button": {
            "title": "$:/language/Docs/PaletteColours/toolbar-delete-button",
            "text": "Toolbar 'delete' button foreground"
        },
        "$:/language/Docs/PaletteColours/toolbar-cancel-button": {
            "title": "$:/language/Docs/PaletteColours/toolbar-cancel-button",
            "text": "Toolbar 'cancel' button foreground"
        },
        "$:/language/Docs/PaletteColours/toolbar-done-button": {
            "title": "$:/language/Docs/PaletteColours/toolbar-done-button",
            "text": "Toolbar 'done' button foreground"
        },
        "$:/language/Docs/PaletteColours/untagged-background": {
            "title": "$:/language/Docs/PaletteColours/untagged-background",
            "text": "Untagged pill background"
        },
        "$:/language/Docs/PaletteColours/very-muted-foreground": {
            "title": "$:/language/Docs/PaletteColours/very-muted-foreground",
            "text": "Very muted foreground"
        },
        "$:/language/EditTemplate/Body/External/Hint": {
            "title": "$:/language/EditTemplate/Body/External/Hint",
            "text": "This tiddler shows content stored outside of the main TiddlyWiki file. You can edit the tags and fields but cannot directly edit the content itself"
        },
        "$:/language/EditTemplate/Body/Placeholder": {
            "title": "$:/language/EditTemplate/Body/Placeholder",
            "text": "Type the text for this tiddler"
        },
        "$:/language/EditTemplate/Body/Preview/Type/Output": {
            "title": "$:/language/EditTemplate/Body/Preview/Type/Output",
            "text": "output"
        },
        "$:/language/EditTemplate/Field/Remove/Caption": {
            "title": "$:/language/EditTemplate/Field/Remove/Caption",
            "text": "remove field"
        },
        "$:/language/EditTemplate/Field/Remove/Hint": {
            "title": "$:/language/EditTemplate/Field/Remove/Hint",
            "text": "Remove field"
        },
        "$:/language/EditTemplate/Field/Dropdown/Caption": {
            "title": "$:/language/EditTemplate/Field/Dropdown/Caption",
            "text": "field list"
        },
        "$:/language/EditTemplate/Field/Dropdown/Hint": {
            "title": "$:/language/EditTemplate/Field/Dropdown/Hint",
            "text": "Show field list"
        },
        "$:/language/EditTemplate/Fields/Add/Button": {
            "title": "$:/language/EditTemplate/Fields/Add/Button",
            "text": "add"
        },
        "$:/language/EditTemplate/Fields/Add/Button/Hint": {
            "title": "$:/language/EditTemplate/Fields/Add/Button/Hint",
            "text": "Add the new field to the tiddler"
        },
        "$:/language/EditTemplate/Fields/Add/Name/Placeholder": {
            "title": "$:/language/EditTemplate/Fields/Add/Name/Placeholder",
            "text": "field name"
        },
        "$:/language/EditTemplate/Fields/Add/Prompt": {
            "title": "$:/language/EditTemplate/Fields/Add/Prompt",
            "text": "Add a new field:"
        },
        "$:/language/EditTemplate/Fields/Add/Value/Placeholder": {
            "title": "$:/language/EditTemplate/Fields/Add/Value/Placeholder",
            "text": "field value"
        },
        "$:/language/EditTemplate/Fields/Add/Dropdown/System": {
            "title": "$:/language/EditTemplate/Fields/Add/Dropdown/System",
            "text": "System fields"
        },
        "$:/language/EditTemplate/Fields/Add/Dropdown/User": {
            "title": "$:/language/EditTemplate/Fields/Add/Dropdown/User",
            "text": "User fields"
        },
        "$:/language/EditTemplate/Shadow/Warning": {
            "title": "$:/language/EditTemplate/Shadow/Warning",
            "text": "This is a shadow tiddler. Any changes you make will override the default version from the plugin <<pluginLink>>"
        },
        "$:/language/EditTemplate/Shadow/OverriddenWarning": {
            "title": "$:/language/EditTemplate/Shadow/OverriddenWarning",
            "text": "This is a modified shadow tiddler. You can revert to the default version in the plugin <<pluginLink>> by deleting this tiddler"
        },
        "$:/language/EditTemplate/Tags/Add/Button": {
            "title": "$:/language/EditTemplate/Tags/Add/Button",
            "text": "add"
        },
        "$:/language/EditTemplate/Tags/Add/Button/Hint": {
            "title": "$:/language/EditTemplate/Tags/Add/Button/Hint",
            "text": "add tag"
        },
        "$:/language/EditTemplate/Tags/Add/Placeholder": {
            "title": "$:/language/EditTemplate/Tags/Add/Placeholder",
            "text": "tag name"
        },
        "$:/language/EditTemplate/Tags/ClearInput/Caption": {
            "title": "$:/language/EditTemplate/Tags/ClearInput/Caption",
            "text": "clear input"
        },
        "$:/language/EditTemplate/Tags/ClearInput/Hint": {
            "title": "$:/language/EditTemplate/Tags/ClearInput/Hint",
            "text": "Clear tag input"
        },
        "$:/language/EditTemplate/Tags/Dropdown/Caption": {
            "title": "$:/language/EditTemplate/Tags/Dropdown/Caption",
            "text": "tag list"
        },
        "$:/language/EditTemplate/Tags/Dropdown/Hint": {
            "title": "$:/language/EditTemplate/Tags/Dropdown/Hint",
            "text": "Show tag list"
        },
        "$:/language/EditTemplate/Title/BadCharacterWarning": {
            "title": "$:/language/EditTemplate/Title/BadCharacterWarning",
            "text": "Warning: avoid using any of the characters <<bad-chars>> in tiddler titles"
        },
        "$:/language/EditTemplate/Title/Exists/Prompt": {
            "title": "$:/language/EditTemplate/Title/Exists/Prompt",
            "text": "Target tiddler already exists"
        },
        "$:/language/EditTemplate/Title/Relink/Prompt": {
            "title": "$:/language/EditTemplate/Title/Relink/Prompt",
            "text": "Update ''<$text text=<<fromTitle>>/>'' to ''<$text text=<<toTitle>>/>'' in the //tags// and //list// fields of other tiddlers"
        },
        "$:/language/EditTemplate/Title/References/Prompt": {
            "title": "$:/language/EditTemplate/Title/References/Prompt",
            "text": "The following references to this tiddler will not be automatically updated:"
        },
        "$:/language/EditTemplate/Type/Dropdown/Caption": {
            "title": "$:/language/EditTemplate/Type/Dropdown/Caption",
            "text": "content type list"
        },
        "$:/language/EditTemplate/Type/Dropdown/Hint": {
            "title": "$:/language/EditTemplate/Type/Dropdown/Hint",
            "text": "Show content type list"
        },
        "$:/language/EditTemplate/Type/Delete/Caption": {
            "title": "$:/language/EditTemplate/Type/Delete/Caption",
            "text": "delete content type"
        },
        "$:/language/EditTemplate/Type/Delete/Hint": {
            "title": "$:/language/EditTemplate/Type/Delete/Hint",
            "text": "Delete content type"
        },
        "$:/language/EditTemplate/Type/Placeholder": {
            "title": "$:/language/EditTemplate/Type/Placeholder",
            "text": "content type"
        },
        "$:/language/EditTemplate/Type/Prompt": {
            "title": "$:/language/EditTemplate/Type/Prompt",
            "text": "Type:"
        },
        "$:/language/Exporters/StaticRiver": {
            "title": "$:/language/Exporters/StaticRiver",
            "text": "Static HTML"
        },
        "$:/language/Exporters/JsonFile": {
            "title": "$:/language/Exporters/JsonFile",
            "text": "JSON file"
        },
        "$:/language/Exporters/CsvFile": {
            "title": "$:/language/Exporters/CsvFile",
            "text": "CSV file"
        },
        "$:/language/Exporters/TidFile": {
            "title": "$:/language/Exporters/TidFile",
            "text": "\".tid\" file"
        },
        "$:/language/Docs/Fields/_canonical_uri": {
            "title": "$:/language/Docs/Fields/_canonical_uri",
            "text": "The full URI of an external image tiddler"
        },
        "$:/language/Docs/Fields/bag": {
            "title": "$:/language/Docs/Fields/bag",
            "text": "The name of the bag from which a tiddler came"
        },
        "$:/language/Docs/Fields/caption": {
            "title": "$:/language/Docs/Fields/caption",
            "text": "The text to be displayed on a tab or button"
        },
        "$:/language/Docs/Fields/color": {
            "title": "$:/language/Docs/Fields/color",
            "text": "The CSS color value associated with a tiddler"
        },
        "$:/language/Docs/Fields/component": {
            "title": "$:/language/Docs/Fields/component",
            "text": "The name of the component responsible for an [[alert tiddler|AlertMechanism]]"
        },
        "$:/language/Docs/Fields/current-tiddler": {
            "title": "$:/language/Docs/Fields/current-tiddler",
            "text": "Used to cache the top tiddler in a [[history list|HistoryMechanism]]"
        },
        "$:/language/Docs/Fields/created": {
            "title": "$:/language/Docs/Fields/created",
            "text": "The date a tiddler was created"
        },
        "$:/language/Docs/Fields/creator": {
            "title": "$:/language/Docs/Fields/creator",
            "text": "The name of the person who created a tiddler"
        },
        "$:/language/Docs/Fields/dependents": {
            "title": "$:/language/Docs/Fields/dependents",
            "text": "For a plugin, lists the dependent plugin titles"
        },
        "$:/language/Docs/Fields/description": {
            "title": "$:/language/Docs/Fields/description",
            "text": "The descriptive text for a plugin, or a modal dialogue"
        },
        "$:/language/Docs/Fields/draft.of": {
            "title": "$:/language/Docs/Fields/draft.of",
            "text": "For draft tiddlers, contains the title of the tiddler of which this is a draft"
        },
        "$:/language/Docs/Fields/draft.title": {
            "title": "$:/language/Docs/Fields/draft.title",
            "text": "For draft tiddlers, contains the proposed new title of the tiddler"
        },
        "$:/language/Docs/Fields/footer": {
            "title": "$:/language/Docs/Fields/footer",
            "text": "The footer text for a wizard"
        },
        "$:/language/Docs/Fields/hide-body": {
            "title": "$:/language/Docs/Fields/hide-body",
            "text": "The view template will hide bodies of tiddlers if set to: ''yes''"
        },
        "$:/language/Docs/Fields/icon": {
            "title": "$:/language/Docs/Fields/icon",
            "text": "The title of the tiddler containing the icon associated with a tiddler"
        },
        "$:/language/Docs/Fields/library": {
            "title": "$:/language/Docs/Fields/library",
            "text": "Indicates that a tiddler should be saved as a JavaScript library if set to: ''yes''"
        },
        "$:/language/Docs/Fields/list": {
            "title": "$:/language/Docs/Fields/list",
            "text": "An ordered list of tiddler titles associated with a tiddler"
        },
        "$:/language/Docs/Fields/list-before": {
            "title": "$:/language/Docs/Fields/list-before",
            "text": "If set, the title of a tiddler before which this tiddler should be added to the ordered list of tiddler titles, or at the start of the list if this field is present but empty"
        },
        "$:/language/Docs/Fields/list-after": {
            "title": "$:/language/Docs/Fields/list-after",
            "text": "If set, the title of the tiddler after which this tiddler should be added to the ordered list of tiddler titles, or at the end of the list if this field is present but empty"
        },
        "$:/language/Docs/Fields/modified": {
            "title": "$:/language/Docs/Fields/modified",
            "text": "The date and time at which a tiddler was last modified"
        },
        "$:/language/Docs/Fields/modifier": {
            "title": "$:/language/Docs/Fields/modifier",
            "text": "The tiddler title associated with the person who last modified a tiddler"
        },
        "$:/language/Docs/Fields/name": {
            "title": "$:/language/Docs/Fields/name",
            "text": "The human readable name associated with a plugin tiddler"
        },
        "$:/language/Docs/Fields/plugin-priority": {
            "title": "$:/language/Docs/Fields/plugin-priority",
            "text": "A numerical value indicating the priority of a plugin tiddler"
        },
        "$:/language/Docs/Fields/plugin-type": {
            "title": "$:/language/Docs/Fields/plugin-type",
            "text": "The type of plugin in a plugin tiddler"
        },
        "$:/language/Docs/Fields/revision": {
            "title": "$:/language/Docs/Fields/revision",
            "text": "The revision of the tiddler held at the server"
        },
        "$:/language/Docs/Fields/released": {
            "title": "$:/language/Docs/Fields/released",
            "text": "Date of a TiddlyWiki release"
        },
        "$:/language/Docs/Fields/source": {
            "title": "$:/language/Docs/Fields/source",
            "text": "The source URL associated with a tiddler"
        },
        "$:/language/Docs/Fields/subtitle": {
            "title": "$:/language/Docs/Fields/subtitle",
            "text": "The subtitle text for a wizard"
        },
        "$:/language/Docs/Fields/tags": {
            "title": "$:/language/Docs/Fields/tags",
            "text": "A list of tags associated with a tiddler"
        },
        "$:/language/Docs/Fields/text": {
            "title": "$:/language/Docs/Fields/text",
            "text": "The body text of a tiddler"
        },
        "$:/language/Docs/Fields/throttle.refresh": {
            "title": "$:/language/Docs/Fields/throttle.refresh",
            "text": "If present, throttles refreshes of this tiddler"
        },
        "$:/language/Docs/Fields/title": {
            "title": "$:/language/Docs/Fields/title",
            "text": "The unique name of a tiddler"
        },
        "$:/language/Docs/Fields/toc-link": {
            "title": "$:/language/Docs/Fields/toc-link",
            "text": "Suppresses the tiddler's link in a Table of Contents tree if set to: ''no''"
        },
        "$:/language/Docs/Fields/type": {
            "title": "$:/language/Docs/Fields/type",
            "text": "The content type of a tiddler"
        },
        "$:/language/Docs/Fields/version": {
            "title": "$:/language/Docs/Fields/version",
            "text": "Version information for a plugin"
        },
        "$:/language/Docs/Fields/_is_skinny": {
            "title": "$:/language/Docs/Fields/_is_skinny",
            "text": "If present, indicates that the tiddler text field must be loaded from the server"
        },
        "$:/language/Filters/AllTiddlers": {
            "title": "$:/language/Filters/AllTiddlers",
            "text": "All tiddlers except system tiddlers"
        },
        "$:/language/Filters/RecentSystemTiddlers": {
            "title": "$:/language/Filters/RecentSystemTiddlers",
            "text": "Recently modified tiddlers, including system tiddlers"
        },
        "$:/language/Filters/RecentTiddlers": {
            "title": "$:/language/Filters/RecentTiddlers",
            "text": "Recently modified tiddlers"
        },
        "$:/language/Filters/AllTags": {
            "title": "$:/language/Filters/AllTags",
            "text": "All tags except system tags"
        },
        "$:/language/Filters/Missing": {
            "title": "$:/language/Filters/Missing",
            "text": "Missing tiddlers"
        },
        "$:/language/Filters/Drafts": {
            "title": "$:/language/Filters/Drafts",
            "text": "Draft tiddlers"
        },
        "$:/language/Filters/Orphans": {
            "title": "$:/language/Filters/Orphans",
            "text": "Orphan tiddlers"
        },
        "$:/language/Filters/SystemTiddlers": {
            "title": "$:/language/Filters/SystemTiddlers",
            "text": "System tiddlers"
        },
        "$:/language/Filters/ShadowTiddlers": {
            "title": "$:/language/Filters/ShadowTiddlers",
            "text": "Shadow tiddlers"
        },
        "$:/language/Filters/OverriddenShadowTiddlers": {
            "title": "$:/language/Filters/OverriddenShadowTiddlers",
            "text": "Overridden shadow tiddlers"
        },
        "$:/language/Filters/SessionTiddlers": {
            "title": "$:/language/Filters/SessionTiddlers",
            "text": "Tiddlers modified since the wiki was loaded"
        },
        "$:/language/Filters/SystemTags": {
            "title": "$:/language/Filters/SystemTags",
            "text": "System tags"
        },
        "$:/language/Filters/StoryList": {
            "title": "$:/language/Filters/StoryList",
            "text": "Tiddlers in the story river, excluding <$text text=\"$:/AdvancedSearch\"/>"
        },
        "$:/language/Filters/TypedTiddlers": {
            "title": "$:/language/Filters/TypedTiddlers",
            "text": "Non wiki-text tiddlers"
        },
        "GettingStarted": {
            "title": "GettingStarted",
            "text": "\\define lingo-base() $:/language/ControlPanel/Basics/\nWelcome to ~TiddlyWiki and the ~TiddlyWiki community\n\nBefore you start storing important information in ~TiddlyWiki it is vital to make sure that you can reliably save changes. See https://tiddlywiki.com/#GettingStarted for details\n\n!! Set up this ~TiddlyWiki\n\n<div class=\"tc-control-panel\">\n\n|<$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n</div>\n\nSee the [[control panel|$:/ControlPanel]] for more options.\n"
        },
        "$:/language/Help/build": {
            "title": "$:/language/Help/build",
            "description": "Automatically run configured commands",
            "text": "Build the specified build targets for the current wiki. If no build targets are specified then all available targets will be built.\n\n```\n--build <target> [<target> ...]\n```\n\nBuild targets are defined in the `tiddlywiki.info` file of a wiki folder.\n\n"
        },
        "$:/language/Help/clearpassword": {
            "title": "$:/language/Help/clearpassword",
            "description": "Clear a password for subsequent crypto operations",
            "text": "Clear the password for subsequent crypto operations\n\n```\n--clearpassword\n```\n"
        },
        "$:/language/Help/default": {
            "title": "$:/language/Help/default",
            "text": "\\define commandTitle()\n$:/language/Help/$(command)$\n\\end\n```\nusage: tiddlywiki [<wikifolder>] [--<command> [<args>...]...]\n```\n\nAvailable commands:\n\n<ul>\n<$list filter=\"[commands[]sort[title]]\" variable=\"command\">\n<li><$link to=<<commandTitle>>><$macrocall $name=\"command\" $type=\"text/plain\" $output=\"text/plain\"/></$link>: <$transclude tiddler=<<commandTitle>> field=\"description\"/></li>\n</$list>\n</ul>\n\nTo get detailed help on a command:\n\n```\ntiddlywiki --help <command>\n```\n"
        },
        "$:/language/Help/deletetiddlers": {
            "title": "$:/language/Help/deletetiddlers",
            "description": "Deletes a group of tiddlers",
            "text": "<<.from-version \"5.1.20\">> Deletes a group of tiddlers identified by a filter.\n\n```\n--deletetiddlers <filter>\n```\n"
        },
        "$:/language/Help/editions": {
            "title": "$:/language/Help/editions",
            "description": "Lists the available editions of TiddlyWiki",
            "text": "Lists the names and descriptions of the available editions. You can create a new wiki of a specified edition with the `--init` command.\n\n```\n--editions\n```\n"
        },
        "$:/language/Help/fetch": {
            "title": "$:/language/Help/fetch",
            "description": "Fetch tiddlers from wiki by URL",
            "text": "Fetch one or more files over HTTP/HTTPS, and import the tiddlers matching a filter, optionally transforming the incoming titles.\n\n```\n--fetch file <url> <import-filter> <transform-filter>\n--fetch files <url-filter> <import-filter> <transform-filter>\n--fetch raw-file <url> <transform-filter>\n--fetch raw-files <url-filter> <transform-filter>\n```\n\nThe \"file\" and \"files\" variants fetch the specified files and attempt to import the tiddlers within them (the same processing as if the files were dragged into the browser window). The \"raw-file\" and \"raw-files\" variants fetch the specified files and then store the raw file data in tiddlers, without applying the import logic.\n\nWith the \"file\" and \"raw-file\" variants only a single file is fetched and the first parameter is the URL of the file to read.\n\nWith the \"files\" and \"raw-files\" variants, multiple files are fetched and the first parameter is a filter yielding a list of URLs of the files to read. For example, given a set of tiddlers tagged \"remote-server\" that have a field \"url\" the filter `[tag[remote-server]get[url]]` will retrieve all the available URLs.\n\nFor the \"file\" and \"files\" variants, the `<import-filter>` parameter specifies a filter determining which tiddlers are imported. It defaults to `[all[tiddlers]]` if not provided.\n\nFor all variants, the `<transform-filter>` parameter specifies an optional filter that transforms the titles of the imported tiddlers. For example, `[addprefix[$:/myimports/]]` would add the prefix `$:/myimports/` to each title.\n\nPreceding the `--fetch` command with `--verbose` will output progress information during the import.\n\nNote that TiddlyWiki will not fetch an older version of an already loaded plugin.\n\nThe following example retrieves all the non-system tiddlers from https://tiddlywiki.com and saves them to a JSON file:\n\n```\ntiddlywiki --verbose --fetch file \"https://tiddlywiki.com/\" \"[!is[system]]\" \"\" --rendertiddler \"$:/core/templates/exporters/JsonFile\" output.json text/plain \"\" exportFilter \"[!is[system]]\"\n```\n\nThe following example retrieves the \"favicon\" file from tiddlywiki.com and saves it in a file called \"output.ico\". Note that the intermediate tiddler \"Icon Tiddler\" is quoted in the \"--fetch\" command because it is being used as a transformation filter to replace the default title, while there are no quotes for the \"--savetiddler\" command because it is being used directly as a title.\n\n```\ntiddlywiki --verbose --fetch raw-file \"https://tiddlywiki.com/favicon.ico\" \"[[Icon Tiddler]]\" --savetiddler \"Icon Tiddler\" output.ico\n```\n\n"
        },
        "$:/language/Help/help": {
            "title": "$:/language/Help/help",
            "description": "Display help for TiddlyWiki commands",
            "text": "Displays help text for a command:\n\n```\n--help [<command>]\n```\n\nIf the command name is omitted then a list of available commands is displayed.\n"
        },
        "$:/language/Help/import": {
            "title": "$:/language/Help/import",
            "description": "Import tiddlers from a file",
            "text": "Import tiddlers from TiddlyWiki (`.html`), `.tiddler`, `.tid`, `.json` or other local files. The deserializer must be explicitly specified, unlike the `load` command which infers the deserializer from the file extension.\n\n```\n--import <filepath> <deserializer> [<title>] [<encoding>]\n```\n\nThe deserializers in the core include:\n\n* application/javascript\n* application/json\n* application/x-tiddler\n* application/x-tiddler-html-div\n* application/x-tiddlers\n* text/html\n* text/plain\n\nThe title of the imported tiddler defaults to the filename.\n\nThe encoding defaults to \"utf8\", but can be \"base64\" for importing binary files.\n\nNote that TiddlyWiki will not import an older version of an already loaded plugin.\n"
        },
        "$:/language/Help/init": {
            "title": "$:/language/Help/init",
            "description": "Initialise a new wiki folder",
            "text": "Initialise an empty [[WikiFolder|WikiFolders]] with a copy of the specified edition.\n\n```\n--init <edition> [<edition> ...]\n```\n\nFor example:\n\n```\ntiddlywiki ./MyWikiFolder --init empty\n```\n\nNote:\n\n* The wiki folder directory will be created if necessary\n* The \"edition\" defaults to ''empty''\n* The init command will fail if the wiki folder is not empty\n* The init command removes any `includeWikis` definitions in the edition's `tiddlywiki.info` file\n* When multiple editions are specified, editions initialised later will overwrite any files shared with earlier editions (so, the final `tiddlywiki.info` file will be copied from the last edition)\n* `--editions` returns a list of available editions\n"
        },
        "$:/language/Help/listen": {
            "title": "$:/language/Help/listen",
            "description": "Provides an HTTP server interface to TiddlyWiki",
            "text": "Serves a wiki over HTTP.\n\nThe listen command uses NamedCommandParameters:\n\n```\n--listen [<name>=<value>]...\n```\n\nAll parameters are optional with safe defaults, and can be specified in any order. The recognised parameters are:\n\n* ''host'' - optional hostname to serve from (defaults to \"127.0.0.1\" aka \"localhost\")\n* ''path-prefix'' - optional prefix for paths\n* ''port'' - port number on which to listen; non-numeric values are interpreted as a system environment variable from which the port number is extracted (defaults to \"8080\")\n* ''credentials'' - pathname of credentials CSV file (relative to wiki folder)\n* ''anon-username'' - the username for signing edits for anonymous users\n* ''username'' - optional username for basic authentication\n* ''password'' - optional password for basic authentication\n* ''authenticated-user-header'' - optional name of header to be used for trusted authentication\n* ''readers'' - comma separated list of principals allowed to read from this wiki\n* ''writers'' - comma separated list of principals allowed to write to this wiki\n* ''csrf-disable'' - set to \"yes\" to disable CSRF checks (defaults to \"no\")\n* ''root-tiddler'' - the tiddler to serve at the root (defaults to \"$:/core/save/all\")\n* ''root-render-type'' - the content type to which the root tiddler should be rendered (defaults to \"text/plain\")\n* ''root-serve-type'' - the content type with which the root tiddler should be served (defaults to \"text/html\")\n* ''tls-cert'' - pathname of TLS certificate file (relative to wiki folder)\n* ''tls-key'' - pathname of TLS key file (relative to wiki folder)\n* ''debug-level'' - optional debug level; set to \"debug\" to view request details (defaults to \"none\")\n* ''gzip'' - set to \"yes\" to enable gzip compression for some http endpoints (defaults to \"no\")\n\nFor information on opening up your instance to the entire local network, and possible security concerns, see the WebServer tiddler at TiddlyWiki.com.\n\n"
        },
        "$:/language/Help/load": {
            "title": "$:/language/Help/load",
            "description": "Load tiddlers from a file",
            "text": "Load tiddlers from TiddlyWiki (`.html`), `.tiddler`, `.tid`, `.json` or other local files. The processing applied to incoming files is determined by the file extension. Use the alternative `import` command if you need to specify the deserializer and encoding explicitly.\n\n```\n--load <filepath> [noerror]\n--load <dirpath> [noerror]\n```\n\nBy default, the load command raises an error if no tiddlers are found. The error can be suppressed by providing the optional \"noerror\" parameter.\n\nTo load tiddlers from an encrypted TiddlyWiki file you should first specify the password with the PasswordCommand. For example:\n\n```\ntiddlywiki ./MyWiki --password pa55w0rd --load my_encrypted_wiki.html\n```\n\nNote that TiddlyWiki will not load an older version of an already loaded plugin.\n"
        },
        "$:/language/Help/makelibrary": {
            "title": "$:/language/Help/makelibrary",
            "description": "Construct library plugin required by upgrade process",
            "text": "Constructs the `$:/UpgradeLibrary` tiddler for the upgrade process.\n\nThe upgrade library is formatted as an ordinary plugin tiddler with the plugin type `library`. It contains a copy of each of the plugins, themes and language packs available within the TiddlyWiki5 repository.\n\nThis command is intended for internal use; it is only relevant to users constructing a custom upgrade procedure.\n\n```\n--makelibrary <title>\n```\n\nThe title argument defaults to `$:/UpgradeLibrary`.\n"
        },
        "$:/language/Help/notfound": {
            "title": "$:/language/Help/notfound",
            "text": "No such help item"
        },
        "$:/language/Help/output": {
            "title": "$:/language/Help/output",
            "description": "Set the base output directory for subsequent commands",
            "text": "Sets the base output directory for subsequent commands. The default output directory is the `output` subdirectory of the edition directory.\n\n```\n--output <pathname>\n```\n\nIf the specified pathname is relative then it is resolved relative to the current working directory. For example `--output .` sets the output directory to the current working directory.\n\n"
        },
        "$:/language/Help/password": {
            "title": "$:/language/Help/password",
            "description": "Set a password for subsequent crypto operations",
            "text": "Set a password for subsequent crypto operations\n\n```\n--password <password>\n```\n\n''Note'': This should not be used for serving TiddlyWiki with password protection. Instead, see the password option under the [[ServerCommand]].\n"
        },
        "$:/language/Help/render": {
            "title": "$:/language/Help/render",
            "description": "Renders individual tiddlers to files",
            "text": "Render individual tiddlers identified by a filter and save the results to the specified files.\n\nOptionally, the title of a template tiddler can be specified. In this case, instead of directly rendering each tiddler, the template tiddler is rendered with the \"currentTiddler\" variable set to the title of the tiddler that is being rendered.\n\nA name and value for an additional variable may optionally also be specified.\n\n```\n--render <tiddler-filter> [<filename-filter>] [<render-type>] [<template>] [<name>] [<value>]\n```\n\n* ''tiddler-filter'': A filter identifying the tiddler(s) to be rendered\n* ''filename-filter'': Optional filter transforming tiddler titles into pathnames. If omitted, defaults to `[is[tiddler]addsuffix[.html]]`, which uses the unchanged tiddler title as the filename\n* ''render-type'': Optional render type: `text/html` (the default) returns the full HTML text and `text/plain` just returns the text content (ie it ignores HTML tags and other unprintable material)\n* ''template'': Optional template through which each tiddler is rendered\n* ''name'': Name of optional variable\n* ''value'': Value of optional variable\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nNotes:\n\n* The output directory is not cleared of any existing files\n* Any missing directories in the path to the filename are automatically created.\n* When referring to a tiddler with spaces in its title, take care to use both the quotes required by your shell and also TiddlyWiki's double square brackets : `--render \"[[Motovun Jack.jpg]]\"`\n* The filename filter is evaluated with the selected items being set to the title of the tiddler currently being rendered, allowing the title to be used as the basis for computing the filename. For example `[encodeuricomponent[]addprefix[static/]]` applies URI encoding to each title, and then adds the prefix `static/`\n* The `--render` command is a more flexible replacement for both the `--rendertiddler` and `--rendertiddlers` commands, which are deprecated\n\nExamples:\n\n* `--render \"[!is[system]]\" \"[encodeuricomponent[]addprefix[tiddlers/]addsuffix[.html]]\"` -- renders all non-system tiddlers as files in the subdirectory \"tiddlers\" with URL-encoded titles and the extension HTML\n\n"
        },
        "$:/language/Help/rendertiddler": {
            "title": "$:/language/Help/rendertiddler",
            "description": "Render an individual tiddler as a specified ContentType",
            "text": "(Note: The `--rendertiddler` command is deprecated in favour of the new, more flexible `--render` command)\n\nRender an individual tiddler as a specified ContentType, defaulting to `text/html` and save it to the specified filename.\n\nOptionally the title of a template tiddler can be specified, in which case the template tiddler is rendered with the \"currentTiddler\" variable set to the tiddler that is being rendered (the first parameter value).\n\nA name and value for an additional variable may optionally also be specified.\n\n```\n--rendertiddler <title> <filename> [<type>] [<template>] [<name>] [<value>]\n```\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny missing directories in the path to the filename are automatically created.\n\nFor example, the following command saves all tiddlers matching the filter `[tag[done]]` to a JSON file titled `output.json` by employing the core template `$:/core/templates/exporters/JsonFile`.\n\n```\n--rendertiddler \"$:/core/templates/exporters/JsonFile\" output.json text/plain \"\" exportFilter \"[tag[done]]\"\n```\n"
        },
        "$:/language/Help/rendertiddlers": {
            "title": "$:/language/Help/rendertiddlers",
            "description": "Render tiddlers matching a filter to a specified ContentType",
            "text": "(Note: The `--rendertiddlers` command is deprecated in favour of the new, more flexible `--render` command)\n\nRender a set of tiddlers matching a filter to separate files of a specified ContentType (defaults to `text/html`) and extension (defaults to `.html`).\n\n```\n--rendertiddlers '<filter>' <template> <pathname> [<type>] [<extension>] [\"noclean\"]\n```\n\nFor example:\n\n```\n--rendertiddlers '[!is[system]]' $:/core/templates/static.tiddler.html ./static text/plain\n```\n\nBy default, the pathname is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny files in the target directory are deleted unless the ''noclean'' flag is specified. The target directory is recursively created if it is missing.\n"
        },
        "$:/language/Help/save": {
            "title": "$:/language/Help/save",
            "description": "Saves individual raw tiddlers to files",
            "text": "Saves individual tiddlers identified by a filter in their raw text or binary format to the specified files.\n\n```\n--save <tiddler-filter> <filename-filter>\n```\n\n* ''tiddler-filter'': A filter identifying the tiddler(s) to be saved\n* ''filename-filter'': Optional filter transforming tiddler titles into pathnames. If omitted, defaults to `[is[tiddler]]`, which uses the unchanged tiddler title as the filename\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nNotes:\n\n* The output directory is not cleared of any existing files\n* Any missing directories in the path to the filename are automatically created.\n* When saving a tiddler with spaces in its title, take care to use both the quotes required by your shell and also TiddlyWiki's double square brackets : `--save \"[[Motovun Jack.jpg]]\"`\n* The filename filter is evaluated with the selected items being set to the title of the tiddler currently being saved, allowing the title to be used as the basis for computing the filename. For example `[encodeuricomponent[]addprefix[static/]]` applies URI encoding to each title, and then adds the prefix `static/`\n* The `--save` command is a more flexible replacement for both the `--savetiddler` and `--savetiddlers` commands, which are deprecated\n\nExamples:\n\n* `--save \"[!is[system]is[image]]\" \"[encodeuricomponent[]addprefix[tiddlers/]]\"` -- saves all non-system image tiddlers as files in the subdirectory \"tiddlers\" with URL-encoded titles\n"
        },
        "$:/language/Help/savetiddler": {
            "title": "$:/language/Help/savetiddler",
            "description": "Saves a raw tiddler to a file",
            "text": "(Note: The `--savetiddler` command is deprecated in favour of the new, more flexible `--save` command)\n\nSaves an individual tiddler in its raw text or binary format to the specified filename.\n\n```\n--savetiddler <title> <filename>\n```\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny missing directories in the path to the filename are automatically created.\n"
        },
        "$:/language/Help/savetiddlers": {
            "title": "$:/language/Help/savetiddlers",
            "description": "Saves a group of raw tiddlers to a directory",
            "text": "(Note: The `--savetiddlers` command is deprecated in favour of the new, more flexible `--save` command)\n\nSaves a group of tiddlers in their raw text or binary format to the specified directory.\n\n```\n--savetiddlers <filter> <pathname> [\"noclean\"]\n```\n\nBy default, the pathname is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nThe output directory is cleared of existing files before saving the specified files. The deletion can be disabled by specifying the ''noclean'' flag.\n\nAny missing directories in the pathname are automatically created.\n"
        },
        "$:/language/Help/savewikifolder": {
            "title": "$:/language/Help/savewikifolder",
            "description": "Saves a wiki to a new wiki folder",
            "text": "<<.from-version \"5.1.20\">> Saves the current wiki as a wiki folder, including tiddlers, plugins and configuration:\n\n```\n--savewikifolder <wikifolderpath> [<filter>]\n```\n\n* The target wiki folder must be empty or non-existent\n* The filter specifies which tiddlers should be included. It is optional, defaulting to `[all[tiddlers]]`\n* Plugins from the official plugin library are replaced with references to those plugins in the `tiddlywiki.info` file\n* Custom plugins are unpacked into their own folder\n\nA common usage is to convert a TiddlyWiki HTML file into a wiki folder:\n\n```\ntiddlywiki --load ./mywiki.html --savewikifolder ./mywikifolder\n```\n"
        },
        "$:/language/Help/server": {
            "title": "$:/language/Help/server",
            "description": "Provides an HTTP server interface to TiddlyWiki (deprecated in favour of the new listen command)",
            "text": "Legacy command to serve a wiki over HTTP.\n\n```\n--server <port> <root-tiddler> <root-render-type> <root-serve-type> <username> <password> <host> <path-prefix> <debug-level>\n```\n\nThe parameters are:\n\n* ''port'' - port number on which to listen; non-numeric values are interpreted as a system environment variable from which the port number is extracted (defaults to \"8080\")\n* ''root-tiddler'' - the tiddler to serve at the root (defaults to \"$:/core/save/all\")\n* ''root-render-type'' - the content type to which the root tiddler should be rendered (defaults to \"text/plain\")\n* ''root-serve-type'' - the content type with which the root tiddler should be served (defaults to \"text/html\")\n* ''username'' - the default username for signing edits\n* ''password'' - optional password for basic authentication\n* ''host'' - optional hostname to serve from (defaults to \"127.0.0.1\" aka \"localhost\")\n* ''path-prefix'' - optional prefix for paths\n* ''debug-level'' - optional debug level; set to \"debug\" to view request details (defaults to \"none\")\n\nIf the password parameter is specified then the browser will prompt the user for the username and password. Note that the password is transmitted in plain text so this implementation should only be used on a trusted network or over HTTPS.\n\nFor example:\n\n```\n--server 8080 $:/core/save/all text/plain text/html MyUserName passw0rd\n```\n\nThe username and password can be specified as empty strings if you need to set the hostname or pathprefix and don't want to require a password.\n\n\n```\n--server 8080 $:/core/save/all text/plain text/html \"\" \"\" 192.168.0.245\n```\n\nUsing an address like this exposes your system to the local network. For information on opening up your instance to the entire local network, and possible security concerns, see the WebServer tiddler at TiddlyWiki.com.\n\nTo run multiple TiddlyWiki servers at the same time you'll need to put each one on a different port. It can be useful to use an environment variable to pass the port number to the Node.js process. This example references an environment variable called \"MY_PORT_NUMBER\":\n\n```\n--server MY_PORT_NUMBER $:/core/save/all text/plain text/html MyUserName passw0rd\n```\n"
        },
        "$:/language/Help/setfield": {
            "title": "$:/language/Help/setfield",
            "description": "Prepares external tiddlers for use",
            "text": "//Note that this command is experimental and may change or be replaced before being finalised//\n\nSets the specified field of a group of tiddlers to the result of wikifying a template tiddler with the `currentTiddler` variable set to the tiddler.\n\n```\n--setfield <filter> <fieldname> <templatetitle> <rendertype>\n```\n\nThe parameters are:\n\n* ''filter'' - filter identifying the tiddlers to be affected\n* ''fieldname'' - the field to modify (defaults to \"text\")\n* ''templatetitle'' - the tiddler to wikify into the specified field. If blank or missing then the specified field is deleted\n* ''rendertype'' - the text type to render (defaults to \"text/plain\"; \"text/html\" can be used to include HTML tags)\n"
        },
        "$:/language/Help/unpackplugin": {
            "title": "$:/language/Help/unpackplugin",
            "description": "Unpack the payload tiddlers from a plugin",
            "text": "Extract the payload tiddlers from a plugin, creating them as ordinary tiddlers:\n\n```\n--unpackplugin <title>\n```\n"
        },
        "$:/language/Help/verbose": {
            "title": "$:/language/Help/verbose",
            "description": "Triggers verbose output mode",
            "text": "Triggers verbose output, useful for debugging\n\n```\n--verbose\n```\n"
        },
        "$:/language/Help/version": {
            "title": "$:/language/Help/version",
            "description": "Displays the version number of TiddlyWiki",
            "text": "Displays the version number of TiddlyWiki.\n\n```\n--version\n```\n"
        },
        "$:/language/Import/Imported/Hint": {
            "title": "$:/language/Import/Imported/Hint",
            "text": "The following tiddlers were imported:"
        },
        "$:/language/Import/Listing/Cancel/Caption": {
            "title": "$:/language/Import/Listing/Cancel/Caption",
            "text": "Cancel"
        },
        "$:/language/Import/Listing/Hint": {
            "title": "$:/language/Import/Listing/Hint",
            "text": "These tiddlers are ready to import:"
        },
        "$:/language/Import/Listing/Import/Caption": {
            "title": "$:/language/Import/Listing/Import/Caption",
            "text": "Import"
        },
        "$:/language/Import/Listing/Select/Caption": {
            "title": "$:/language/Import/Listing/Select/Caption",
            "text": "Select"
        },
        "$:/language/Import/Listing/Status/Caption": {
            "title": "$:/language/Import/Listing/Status/Caption",
            "text": "Status"
        },
        "$:/language/Import/Listing/Title/Caption": {
            "title": "$:/language/Import/Listing/Title/Caption",
            "text": "Title"
        },
        "$:/language/Import/Listing/Preview": {
            "title": "$:/language/Import/Listing/Preview",
            "text": "Preview:"
        },
        "$:/language/Import/Listing/Preview/Text": {
            "title": "$:/language/Import/Listing/Preview/Text",
            "text": "Text"
        },
        "$:/language/Import/Listing/Preview/TextRaw": {
            "title": "$:/language/Import/Listing/Preview/TextRaw",
            "text": "Text (Raw)"
        },
        "$:/language/Import/Listing/Preview/Fields": {
            "title": "$:/language/Import/Listing/Preview/Fields",
            "text": "Fields"
        },
        "$:/language/Import/Listing/Preview/Diff": {
            "title": "$:/language/Import/Listing/Preview/Diff",
            "text": "Diff"
        },
        "$:/language/Import/Listing/Preview/DiffFields": {
            "title": "$:/language/Import/Listing/Preview/DiffFields",
            "text": "Diff (Fields)"
        },
        "$:/language/Import/Listing/Rename/Tooltip": {
            "title": "$:/language/Import/Listing/Rename/Tooltip",
            "text": "Rename tiddler before importing"
        },
        "$:/language/Import/Listing/Rename/Prompt": {
            "title": "$:/language/Import/Listing/Rename/Prompt",
            "text": "Rename to:"
        },
        "$:/language/Import/Listing/Rename/ConfirmRename": {
            "title": "$:/language/Import/Listing/Rename/ConfirmRename",
            "text": "Rename tiddler"
        },
        "$:/language/Import/Listing/Rename/CancelRename": {
            "title": "$:/language/Import/Listing/Rename/CancelRename",
            "text": "Cancel"
        },
        "$:/language/Import/Listing/Rename/OverwriteWarning": {
            "title": "$:/language/Import/Listing/Rename/OverwriteWarning",
            "text": "A tiddler with this title already exists."
        },
        "$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible": {
            "title": "$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible",
            "text": "Blocked incompatible or obsolete plugin."
        },
        "$:/language/Import/Upgrader/Plugins/Suppressed/Version": {
            "title": "$:/language/Import/Upgrader/Plugins/Suppressed/Version",
            "text": "Blocked plugin (due to incoming <<incoming>> not being newer than existing <<existing>>)."
        },
        "$:/language/Import/Upgrader/Plugins/Upgraded": {
            "title": "$:/language/Import/Upgrader/Plugins/Upgraded",
            "text": "Upgraded plugin from <<incoming>> to <<upgraded>>."
        },
        "$:/language/Import/Upgrader/State/Suppressed": {
            "title": "$:/language/Import/Upgrader/State/Suppressed",
            "text": "Blocked temporary state tiddler."
        },
        "$:/language/Import/Upgrader/System/Suppressed": {
            "title": "$:/language/Import/Upgrader/System/Suppressed",
            "text": "Blocked system tiddler."
        },
        "$:/language/Import/Upgrader/System/Warning": {
            "title": "$:/language/Import/Upgrader/System/Warning",
            "text": "Core module tiddler."
        },
        "$:/language/Import/Upgrader/System/Alert": {
            "title": "$:/language/Import/Upgrader/System/Alert",
            "text": "You are about to import a tiddler that will overwrite a core module tiddler. This is not recommended as it may make the system unstable."
        },
        "$:/language/Import/Upgrader/ThemeTweaks/Created": {
            "title": "$:/language/Import/Upgrader/ThemeTweaks/Created",
            "text": "Migrated theme tweak from <$text text=<<from>>/>."
        },
        "$:/language/AboveStory/ClassicPlugin/Warning": {
            "title": "$:/language/AboveStory/ClassicPlugin/Warning",
            "text": "It looks like you are trying to load a plugin designed for ~TiddlyWiki Classic. Please note that [[these plugins do not work with TiddlyWiki version 5.x.x|https://tiddlywiki.com/#TiddlyWikiClassic]]. ~TiddlyWiki Classic plugins detected:"
        },
        "$:/language/BinaryWarning/Prompt": {
            "title": "$:/language/BinaryWarning/Prompt",
            "text": "This tiddler contains binary data"
        },
        "$:/language/ClassicWarning/Hint": {
            "title": "$:/language/ClassicWarning/Hint",
            "text": "This tiddler is written in TiddlyWiki Classic wiki text format, which is not fully compatible with TiddlyWiki version 5. See https://tiddlywiki.com/static/Upgrading.html for more details."
        },
        "$:/language/ClassicWarning/Upgrade/Caption": {
            "title": "$:/language/ClassicWarning/Upgrade/Caption",
            "text": "upgrade"
        },
        "$:/language/CloseAll/Button": {
            "title": "$:/language/CloseAll/Button",
            "text": "close all"
        },
        "$:/language/ColourPicker/Recent": {
            "title": "$:/language/ColourPicker/Recent",
            "text": "Recent:"
        },
        "$:/language/ConfirmCancelTiddler": {
            "title": "$:/language/ConfirmCancelTiddler",
            "text": "Do you wish to discard changes to the tiddler \"<$text text=<<title>>/>\"?"
        },
        "$:/language/ConfirmDeleteTiddler": {
            "title": "$:/language/ConfirmDeleteTiddler",
            "text": "Do you wish to delete the tiddler \"<$text text=<<title>>/>\"?"
        },
        "$:/language/ConfirmOverwriteTiddler": {
            "title": "$:/language/ConfirmOverwriteTiddler",
            "text": "Do you wish to overwrite the tiddler \"<$text text=<<title>>/>\"?"
        },
        "$:/language/ConfirmEditShadowTiddler": {
            "title": "$:/language/ConfirmEditShadowTiddler",
            "text": "You are about to edit a ShadowTiddler. Any changes will override the default system making future upgrades non-trivial. Are you sure you want to edit \"<$text text=<<title>>/>\"?"
        },
        "$:/language/ConfirmAction": {
            "title": "$:/language/ConfirmAction",
            "text": "Do you wish to proceed?"
        },
        "$:/language/Count": {
            "title": "$:/language/Count",
            "text": "count"
        },
        "$:/language/DefaultNewTiddlerTitle": {
            "title": "$:/language/DefaultNewTiddlerTitle",
            "text": "New Tiddler"
        },
        "$:/language/Diffs/CountMessage": {
            "title": "$:/language/Diffs/CountMessage",
            "text": "<<diff-count>> differences"
        },
        "$:/language/DropMessage": {
            "title": "$:/language/DropMessage",
            "text": "Drop here (or use the 'Escape' key to cancel)"
        },
        "$:/language/Encryption/Cancel": {
            "title": "$:/language/Encryption/Cancel",
            "text": "Cancel"
        },
        "$:/language/Encryption/ConfirmClearPassword": {
            "title": "$:/language/Encryption/ConfirmClearPassword",
            "text": "Do you wish to clear the password? This will remove the encryption applied when saving this wiki"
        },
        "$:/language/Encryption/PromptSetPassword": {
            "title": "$:/language/Encryption/PromptSetPassword",
            "text": "Set a new password for this TiddlyWiki"
        },
        "$:/language/Encryption/Username": {
            "title": "$:/language/Encryption/Username",
            "text": "Username"
        },
        "$:/language/Encryption/Password": {
            "title": "$:/language/Encryption/Password",
            "text": "Password"
        },
        "$:/language/Encryption/RepeatPassword": {
            "title": "$:/language/Encryption/RepeatPassword",
            "text": "Repeat password"
        },
        "$:/language/Encryption/PasswordNoMatch": {
            "title": "$:/language/Encryption/PasswordNoMatch",
            "text": "Passwords do not match"
        },
        "$:/language/Encryption/SetPassword": {
            "title": "$:/language/Encryption/SetPassword",
            "text": "Set password"
        },
        "$:/language/Error/Caption": {
            "title": "$:/language/Error/Caption",
            "text": "Error"
        },
        "$:/language/Error/EditConflict": {
            "title": "$:/language/Error/EditConflict",
            "text": "File changed on server"
        },
        "$:/language/Error/Filter": {
            "title": "$:/language/Error/Filter",
            "text": "Filter error"
        },
        "$:/language/Error/FilterSyntax": {
            "title": "$:/language/Error/FilterSyntax",
            "text": "Syntax error in filter expression"
        },
        "$:/language/Error/FilterRunPrefix": {
            "title": "$:/language/Error/FilterRunPrefix",
            "text": "Filter Error: Unknown prefix for filter run"
        },
        "$:/language/Error/IsFilterOperator": {
            "title": "$:/language/Error/IsFilterOperator",
            "text": "Filter Error: Unknown operand for the 'is' filter operator"
        },
        "$:/language/Error/FormatFilterOperator": {
            "title": "$:/language/Error/FormatFilterOperator",
            "text": "Filter Error: Unknown suffix for the 'format' filter operator"
        },
        "$:/language/Error/LoadingPluginLibrary": {
            "title": "$:/language/Error/LoadingPluginLibrary",
            "text": "Error loading plugin library"
        },
        "$:/language/Error/NetworkErrorAlert": {
            "title": "$:/language/Error/NetworkErrorAlert",
            "text": "`<h2>''Network Error''</h2>It looks like the connection to the server has been lost. This may indicate a problem with your network connection. Please attempt to restore network connectivity before continuing.<br><br>''Any unsaved changes will be automatically synchronised when connectivity is restored''.`"
        },
        "$:/language/Error/RecursiveTransclusion": {
            "title": "$:/language/Error/RecursiveTransclusion",
            "text": "Recursive transclusion error in transclude widget"
        },
        "$:/language/Error/RetrievingSkinny": {
            "title": "$:/language/Error/RetrievingSkinny",
            "text": "Error retrieving skinny tiddler list"
        },
        "$:/language/Error/SavingToTWEdit": {
            "title": "$:/language/Error/SavingToTWEdit",
            "text": "Error saving to TWEdit"
        },
        "$:/language/Error/WhileSaving": {
            "title": "$:/language/Error/WhileSaving",
            "text": "Error while saving"
        },
        "$:/language/Error/XMLHttpRequest": {
            "title": "$:/language/Error/XMLHttpRequest",
            "text": "XMLHttpRequest error code"
        },
        "$:/language/InternalJavaScriptError/Title": {
            "title": "$:/language/InternalJavaScriptError/Title",
            "text": "Internal JavaScript Error"
        },
        "$:/language/InternalJavaScriptError/Hint": {
            "title": "$:/language/InternalJavaScriptError/Hint",
            "text": "Well, this is embarrassing. It is recommended that you restart TiddlyWiki by refreshing your browser"
        },
        "$:/language/InvalidFieldName": {
            "title": "$:/language/InvalidFieldName",
            "text": "Illegal characters in field name \"<$text text=<<fieldName>>/>\". Fields can only contain lowercase letters, digits and the characters underscore (`_`), hyphen (`-`) and period (`.`)"
        },
        "$:/language/LayoutSwitcher/Description": {
            "title": "$:/language/LayoutSwitcher/Description",
            "text": "Open the layout switcher"
        },
        "$:/language/LazyLoadingWarning": {
            "title": "$:/language/LazyLoadingWarning",
            "text": "<p>Trying to load external content from ''<$text text={{!!_canonical_uri}}/>''</p><p>If this message doesn't disappear, either the tiddler content type doesn't match the type of the external content, or you may be using a browser that doesn't support external content for wikis loaded as standalone files. See https://tiddlywiki.com/#ExternalText</p>"
        },
        "$:/language/LoginToTiddlySpace": {
            "title": "$:/language/LoginToTiddlySpace",
            "text": "Login to TiddlySpace"
        },
        "$:/language/Manager/Controls/FilterByTag/None": {
            "title": "$:/language/Manager/Controls/FilterByTag/None",
            "text": "(none)"
        },
        "$:/language/Manager/Controls/FilterByTag/Prompt": {
            "title": "$:/language/Manager/Controls/FilterByTag/Prompt",
            "text": "Filter by tag:"
        },
        "$:/language/Manager/Controls/Order/Prompt": {
            "title": "$:/language/Manager/Controls/Order/Prompt",
            "text": "Reverse order"
        },
        "$:/language/Manager/Controls/Search/Placeholder": {
            "title": "$:/language/Manager/Controls/Search/Placeholder",
            "text": "Search"
        },
        "$:/language/Manager/Controls/Search/Prompt": {
            "title": "$:/language/Manager/Controls/Search/Prompt",
            "text": "Search:"
        },
        "$:/language/Manager/Controls/Show/Option/Tags": {
            "title": "$:/language/Manager/Controls/Show/Option/Tags",
            "text": "tags"
        },
        "$:/language/Manager/Controls/Show/Option/Tiddlers": {
            "title": "$:/language/Manager/Controls/Show/Option/Tiddlers",
            "text": "tiddlers"
        },
        "$:/language/Manager/Controls/Show/Prompt": {
            "title": "$:/language/Manager/Controls/Show/Prompt",
            "text": "Show:"
        },
        "$:/language/Manager/Controls/Sort/Prompt": {
            "title": "$:/language/Manager/Controls/Sort/Prompt",
            "text": "Sort by:"
        },
        "$:/language/Manager/Item/Colour": {
            "title": "$:/language/Manager/Item/Colour",
            "text": "Colour"
        },
        "$:/language/Manager/Item/Fields": {
            "title": "$:/language/Manager/Item/Fields",
            "text": "Fields"
        },
        "$:/language/Manager/Item/Icon/None": {
            "title": "$:/language/Manager/Item/Icon/None",
            "text": "(none)"
        },
        "$:/language/Manager/Item/Icon": {
            "title": "$:/language/Manager/Item/Icon",
            "text": "Icon"
        },
        "$:/language/Manager/Item/RawText": {
            "title": "$:/language/Manager/Item/RawText",
            "text": "Raw text"
        },
        "$:/language/Manager/Item/Tags": {
            "title": "$:/language/Manager/Item/Tags",
            "text": "Tags"
        },
        "$:/language/Manager/Item/Tools": {
            "title": "$:/language/Manager/Item/Tools",
            "text": "Tools"
        },
        "$:/language/Manager/Item/WikifiedText": {
            "title": "$:/language/Manager/Item/WikifiedText",
            "text": "Wikified text"
        },
        "$:/language/MissingTiddler/Hint": {
            "title": "$:/language/MissingTiddler/Hint",
            "text": "Missing tiddler \"<$text text=<<currentTiddler>>/>\" -- click {{||$:/core/ui/Buttons/edit}} to create"
        },
        "$:/language/No": {
            "title": "$:/language/No",
            "text": "No"
        },
        "$:/language/OfficialPluginLibrary": {
            "title": "$:/language/OfficialPluginLibrary",
            "text": "Official ~TiddlyWiki Plugin Library"
        },
        "$:/language/OfficialPluginLibrary/Hint": {
            "title": "$:/language/OfficialPluginLibrary/Hint",
            "text": "The official ~TiddlyWiki plugin library at tiddlywiki.com. Plugins, themes and language packs are maintained by the core team."
        },
        "$:/language/PageTemplate/Description": {
            "title": "$:/language/PageTemplate/Description",
            "text": "the default ~TiddlyWiki layout"
        },
        "$:/language/PageTemplate/Name": {
            "title": "$:/language/PageTemplate/Name",
            "text": "Default ~PageTemplate"
        },
        "$:/language/PluginReloadWarning": {
            "title": "$:/language/PluginReloadWarning",
            "text": "Please save {{$:/core/ui/Buttons/save-wiki}} and reload {{$:/core/ui/Buttons/refresh}} to allow changes to ~JavaScript plugins to take effect"
        },
        "$:/language/RecentChanges/DateFormat": {
            "title": "$:/language/RecentChanges/DateFormat",
            "text": "DDth MMM YYYY"
        },
        "$:/language/Shortcuts/Input/AdvancedSearch/Hint": {
            "title": "$:/language/Shortcuts/Input/AdvancedSearch/Hint",
            "text": "Open the ~AdvancedSearch panel from within the sidebar search field"
        },
        "$:/language/Shortcuts/Input/Accept/Hint": {
            "title": "$:/language/Shortcuts/Input/Accept/Hint",
            "text": "Accept the selected item"
        },
        "$:/language/Shortcuts/Input/AcceptVariant/Hint": {
            "title": "$:/language/Shortcuts/Input/AcceptVariant/Hint",
            "text": "Accept the selected item (variant)"
        },
        "$:/language/Shortcuts/Input/Cancel/Hint": {
            "title": "$:/language/Shortcuts/Input/Cancel/Hint",
            "text": "Clear the input field"
        },
        "$:/language/Shortcuts/Input/Down/Hint": {
            "title": "$:/language/Shortcuts/Input/Down/Hint",
            "text": "Select the next item"
        },
        "$:/language/Shortcuts/Input/Tab-Left/Hint": {
            "title": "$:/language/Shortcuts/Input/Tab-Left/Hint",
            "text": "Select the previous Tab"
        },
        "$:/language/Shortcuts/Input/Tab-Right/Hint": {
            "title": "$:/language/Shortcuts/Input/Tab-Right/Hint",
            "text": "Select the next Tab"
        },
        "$:/language/Shortcuts/Input/Up/Hint": {
            "title": "$:/language/Shortcuts/Input/Up/Hint",
            "text": "Select the previous item"
        },
        "$:/language/Shortcuts/SidebarLayout/Hint": {
            "title": "$:/language/Shortcuts/SidebarLayout/Hint",
            "text": "Change the sidebar layout"
        },
        "$:/language/Switcher/Subtitle/theme": {
            "title": "$:/language/Switcher/Subtitle/theme",
            "text": "Switch Theme"
        },
        "$:/language/Switcher/Subtitle/layout": {
            "title": "$:/language/Switcher/Subtitle/layout",
            "text": "Switch Layout"
        },
        "$:/language/Switcher/Subtitle/language": {
            "title": "$:/language/Switcher/Subtitle/language",
            "text": "Switch Language"
        },
        "$:/language/Switcher/Subtitle/palette": {
            "title": "$:/language/Switcher/Subtitle/palette",
            "text": "Switch Palette"
        },
        "$:/language/SystemTiddler/Tooltip": {
            "title": "$:/language/SystemTiddler/Tooltip",
            "text": "This is a system tiddler"
        },
        "$:/language/SystemTiddlers/Include/Prompt": {
            "title": "$:/language/SystemTiddlers/Include/Prompt",
            "text": "Include system tiddlers"
        },
        "$:/language/TagManager/Colour/Heading": {
            "title": "$:/language/TagManager/Colour/Heading",
            "text": "Colour"
        },
        "$:/language/TagManager/Count/Heading": {
            "title": "$:/language/TagManager/Count/Heading",
            "text": "Count"
        },
        "$:/language/TagManager/Icon/Heading": {
            "title": "$:/language/TagManager/Icon/Heading",
            "text": "Icon"
        },
        "$:/language/TagManager/Icons/None": {
            "title": "$:/language/TagManager/Icons/None",
            "text": "None"
        },
        "$:/language/TagManager/Info/Heading": {
            "title": "$:/language/TagManager/Info/Heading",
            "text": "Info"
        },
        "$:/language/TagManager/Tag/Heading": {
            "title": "$:/language/TagManager/Tag/Heading",
            "text": "Tag"
        },
        "$:/language/Tiddler/DateFormat": {
            "title": "$:/language/Tiddler/DateFormat",
            "text": "DDth MMM YYYY at hh12:0mmam"
        },
        "$:/language/UnsavedChangesWarning": {
            "title": "$:/language/UnsavedChangesWarning",
            "text": "You have unsaved changes in TiddlyWiki"
        },
        "$:/language/Yes": {
            "title": "$:/language/Yes",
            "text": "Yes"
        },
        "$:/language/Modals/Download": {
            "title": "$:/language/Modals/Download",
            "subtitle": "Download changes",
            "footer": "<$button message=\"tm-close-tiddler\">Close</$button>",
            "help": "https://tiddlywiki.com/static/DownloadingChanges.html",
            "text": "Your browser only supports manual saving.\n\nTo save your modified wiki, right click on the download link below and select \"Download file\" or \"Save file\", and then choose the folder and filename.\n\n//You can marginally speed things up by clicking the link with the control key (Windows) or the options/alt key (Mac OS X). You will not be prompted for the folder or filename, but your browser is likely to give it an unrecognisable name -- you may need to rename the file to include an `.html` extension before you can do anything useful with it.//\n\nOn smartphones that do not allow files to be downloaded you can instead bookmark the link, and then sync your bookmarks to a desktop computer from where the wiki can be saved normally.\n"
        },
        "$:/language/Modals/SaveInstructions": {
            "title": "$:/language/Modals/SaveInstructions",
            "subtitle": "Save your work",
            "footer": "<$button message=\"tm-close-tiddler\">Close</$button>",
            "help": "https://tiddlywiki.com/static/SavingChanges.html",
            "text": "Your changes to this wiki need to be saved as a ~TiddlyWiki HTML file.\n\n!!! Desktop browsers\n\n# Select ''Save As'' from the ''File'' menu\n# Choose a filename and location\n#* Some browsers also require you to explicitly specify the file saving format as ''Webpage, HTML only'' or similar\n# Close this tab\n\n!!! Smartphone browsers\n\n# Create a bookmark to this page\n#* If you've got iCloud or Google Sync set up then the bookmark will automatically sync to your desktop where you can open it and save it as above\n# Close this tab\n\n//If you open the bookmark again in Mobile Safari you will see this message again. If you want to go ahead and use the file, just click the ''close'' button below//\n"
        },
        "$:/config/NewJournal/Title": {
            "title": "$:/config/NewJournal/Title",
            "text": "DDth MMM YYYY"
        },
        "$:/config/NewJournal/Text": {
            "title": "$:/config/NewJournal/Text",
            "text": ""
        },
        "$:/config/NewJournal/Tags": {
            "title": "$:/config/NewJournal/Tags",
            "text": "Journal\n"
        },
        "$:/language/Notifications/Save/Done": {
            "title": "$:/language/Notifications/Save/Done",
            "text": "Saved wiki"
        },
        "$:/language/Notifications/Save/Starting": {
            "title": "$:/language/Notifications/Save/Starting",
            "text": "Starting to save wiki"
        },
        "$:/language/Notifications/CopiedToClipboard/Succeeded": {
            "title": "$:/language/Notifications/CopiedToClipboard/Succeeded",
            "text": "Copied to clipboard!"
        },
        "$:/language/Notifications/CopiedToClipboard/Failed": {
            "title": "$:/language/Notifications/CopiedToClipboard/Failed",
            "text": "Failed to copy to clipboard!"
        },
        "$:/language/Search/DefaultResults/Caption": {
            "title": "$:/language/Search/DefaultResults/Caption",
            "text": "List"
        },
        "$:/language/Search/Filter/Caption": {
            "title": "$:/language/Search/Filter/Caption",
            "text": "Filter"
        },
        "$:/language/Search/Filter/Hint": {
            "title": "$:/language/Search/Filter/Hint",
            "text": "Search via a [[filter expression|https://tiddlywiki.com/static/Filters.html]]"
        },
        "$:/language/Search/Filter/Matches": {
            "title": "$:/language/Search/Filter/Matches",
            "text": "//<small><<resultCount>> matches</small>//"
        },
        "$:/language/Search/Matches": {
            "title": "$:/language/Search/Matches",
            "text": "//<small><<resultCount>> matches</small>//"
        },
        "$:/language/Search/Matches/All": {
            "title": "$:/language/Search/Matches/All",
            "text": "All matches:"
        },
        "$:/language/Search/Matches/Title": {
            "title": "$:/language/Search/Matches/Title",
            "text": "Title matches:"
        },
        "$:/language/Search/Search": {
            "title": "$:/language/Search/Search",
            "text": "Search"
        },
        "$:/language/Search/Search/TooShort": {
            "title": "$:/language/Search/Search/TooShort",
            "text": "Search text too short"
        },
        "$:/language/Search/Shadows/Caption": {
            "title": "$:/language/Search/Shadows/Caption",
            "text": "Shadows"
        },
        "$:/language/Search/Shadows/Hint": {
            "title": "$:/language/Search/Shadows/Hint",
            "text": "Search for shadow tiddlers"
        },
        "$:/language/Search/Shadows/Matches": {
            "title": "$:/language/Search/Shadows/Matches",
            "text": "//<small><<resultCount>> matches</small>//"
        },
        "$:/language/Search/Standard/Caption": {
            "title": "$:/language/Search/Standard/Caption",
            "text": "Standard"
        },
        "$:/language/Search/Standard/Hint": {
            "title": "$:/language/Search/Standard/Hint",
            "text": "Search for standard tiddlers"
        },
        "$:/language/Search/Standard/Matches": {
            "title": "$:/language/Search/Standard/Matches",
            "text": "//<small><<resultCount>> matches</small>//"
        },
        "$:/language/Search/System/Caption": {
            "title": "$:/language/Search/System/Caption",
            "text": "System"
        },
        "$:/language/Search/System/Hint": {
            "title": "$:/language/Search/System/Hint",
            "text": "Search for system tiddlers"
        },
        "$:/language/Search/System/Matches": {
            "title": "$:/language/Search/System/Matches",
            "text": "//<small><<resultCount>> matches</small>//"
        },
        "$:/language/SideBar/All/Caption": {
            "title": "$:/language/SideBar/All/Caption",
            "text": "All"
        },
        "$:/language/SideBar/Contents/Caption": {
            "title": "$:/language/SideBar/Contents/Caption",
            "text": "Contents"
        },
        "$:/language/SideBar/Drafts/Caption": {
            "title": "$:/language/SideBar/Drafts/Caption",
            "text": "Drafts"
        },
        "$:/language/SideBar/Explorer/Caption": {
            "title": "$:/language/SideBar/Explorer/Caption",
            "text": "Explorer"
        },
        "$:/language/SideBar/Missing/Caption": {
            "title": "$:/language/SideBar/Missing/Caption",
            "text": "Missing"
        },
        "$:/language/SideBar/More/Caption": {
            "title": "$:/language/SideBar/More/Caption",
            "text": "More"
        },
        "$:/language/SideBar/Open/Caption": {
            "title": "$:/language/SideBar/Open/Caption",
            "text": "Open"
        },
        "$:/language/SideBar/Orphans/Caption": {
            "title": "$:/language/SideBar/Orphans/Caption",
            "text": "Orphans"
        },
        "$:/language/SideBar/Recent/Caption": {
            "title": "$:/language/SideBar/Recent/Caption",
            "text": "Recent"
        },
        "$:/language/SideBar/Shadows/Caption": {
            "title": "$:/language/SideBar/Shadows/Caption",
            "text": "Shadows"
        },
        "$:/language/SideBar/System/Caption": {
            "title": "$:/language/SideBar/System/Caption",
            "text": "System"
        },
        "$:/language/SideBar/Tags/Caption": {
            "title": "$:/language/SideBar/Tags/Caption",
            "text": "Tags"
        },
        "$:/language/SideBar/Tags/Untagged/Caption": {
            "title": "$:/language/SideBar/Tags/Untagged/Caption",
            "text": "untagged"
        },
        "$:/language/SideBar/Tools/Caption": {
            "title": "$:/language/SideBar/Tools/Caption",
            "text": "Tools"
        },
        "$:/language/SideBar/Types/Caption": {
            "title": "$:/language/SideBar/Types/Caption",
            "text": "Types"
        },
        "$:/SiteSubtitle": {
            "title": "$:/SiteSubtitle",
            "text": "a non-linear personal web notebook"
        },
        "$:/SiteTitle": {
            "title": "$:/SiteTitle",
            "text": "My ~TiddlyWiki"
        },
        "$:/language/Snippets/ListByTag": {
            "title": "$:/language/Snippets/ListByTag",
            "tags": "$:/tags/TextEditor/Snippet",
            "caption": "List of tiddlers by tag",
            "text": "<<list-links \"[tag[task]sort[title]]\">>\n"
        },
        "$:/language/Snippets/MacroDefinition": {
            "title": "$:/language/Snippets/MacroDefinition",
            "tags": "$:/tags/TextEditor/Snippet",
            "caption": "Macro definition",
            "text": "\\define macroName(param1:\"default value\",param2)\nText of the macro\n\\end\n"
        },
        "$:/language/Snippets/Table4x3": {
            "title": "$:/language/Snippets/Table4x3",
            "tags": "$:/tags/TextEditor/Snippet",
            "caption": "Table with 4 columns by 3 rows",
            "text": "|! |!Alpha |!Beta |!Gamma |!Delta |\n|!One | | | | |\n|!Two | | | | |\n|!Three | | | | |\n"
        },
        "$:/language/Snippets/TableOfContents": {
            "title": "$:/language/Snippets/TableOfContents",
            "tags": "$:/tags/TextEditor/Snippet",
            "caption": "Table of Contents",
            "text": "<div class=\"tc-table-of-contents\">\n\n<<toc-selective-expandable 'TableOfContents'>>\n\n</div>"
        },
        "$:/language/ThemeTweaks/ThemeTweaks": {
            "title": "$:/language/ThemeTweaks/ThemeTweaks",
            "text": "Theme Tweaks"
        },
        "$:/language/ThemeTweaks/ThemeTweaks/Hint": {
            "title": "$:/language/ThemeTweaks/ThemeTweaks/Hint",
            "text": "You can tweak certain aspects of the ''Vanilla'' theme."
        },
        "$:/language/ThemeTweaks/Options": {
            "title": "$:/language/ThemeTweaks/Options",
            "text": "Options"
        },
        "$:/language/ThemeTweaks/Options/SidebarLayout": {
            "title": "$:/language/ThemeTweaks/Options/SidebarLayout",
            "text": "Sidebar layout"
        },
        "$:/language/ThemeTweaks/Options/SidebarLayout/Fixed-Fluid": {
            "title": "$:/language/ThemeTweaks/Options/SidebarLayout/Fixed-Fluid",
            "text": "Fixed story, fluid sidebar"
        },
        "$:/language/ThemeTweaks/Options/SidebarLayout/Fluid-Fixed": {
            "title": "$:/language/ThemeTweaks/Options/SidebarLayout/Fluid-Fixed",
            "text": "Fluid story, fixed sidebar"
        },
        "$:/language/ThemeTweaks/Options/StickyTitles": {
            "title": "$:/language/ThemeTweaks/Options/StickyTitles",
            "text": "Sticky titles"
        },
        "$:/language/ThemeTweaks/Options/StickyTitles/Hint": {
            "title": "$:/language/ThemeTweaks/Options/StickyTitles/Hint",
            "text": "Causes tiddler titles to \"stick\" to the top of the browser window"
        },
        "$:/language/ThemeTweaks/Options/CodeWrapping": {
            "title": "$:/language/ThemeTweaks/Options/CodeWrapping",
            "text": "Wrap long lines in code blocks"
        },
        "$:/language/ThemeTweaks/Settings": {
            "title": "$:/language/ThemeTweaks/Settings",
            "text": "Settings"
        },
        "$:/language/ThemeTweaks/Settings/FontFamily": {
            "title": "$:/language/ThemeTweaks/Settings/FontFamily",
            "text": "Font family"
        },
        "$:/language/ThemeTweaks/Settings/CodeFontFamily": {
            "title": "$:/language/ThemeTweaks/Settings/CodeFontFamily",
            "text": "Code font family"
        },
        "$:/language/ThemeTweaks/Settings/EditorFontFamily": {
            "title": "$:/language/ThemeTweaks/Settings/EditorFontFamily",
            "text": "Editor font family"
        },
        "$:/language/ThemeTweaks/Settings/BackgroundImage": {
            "title": "$:/language/ThemeTweaks/Settings/BackgroundImage",
            "text": "Page background image"
        },
        "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment": {
            "title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment",
            "text": "Page background image attachment"
        },
        "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Scroll": {
            "title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Scroll",
            "text": "Scroll with tiddlers"
        },
        "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Fixed": {
            "title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Fixed",
            "text": "Fixed to window"
        },
        "$:/language/ThemeTweaks/Settings/BackgroundImageSize": {
            "title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize",
            "text": "Page background image size"
        },
        "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Auto": {
            "title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Auto",
            "text": "Auto"
        },
        "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Cover": {
            "title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Cover",
            "text": "Cover"
        },
        "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Contain": {
            "title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Contain",
            "text": "Contain"
        },
        "$:/language/ThemeTweaks/Metrics": {
            "title": "$:/language/ThemeTweaks/Metrics",
            "text": "Sizes"
        },
        "$:/language/ThemeTweaks/Metrics/FontSize": {
            "title": "$:/language/ThemeTweaks/Metrics/FontSize",
            "text": "Font size"
        },
        "$:/language/ThemeTweaks/Metrics/LineHeight": {
            "title": "$:/language/ThemeTweaks/Metrics/LineHeight",
            "text": "Line height"
        },
        "$:/language/ThemeTweaks/Metrics/BodyFontSize": {
            "title": "$:/language/ThemeTweaks/Metrics/BodyFontSize",
            "text": "Font size for tiddler body"
        },
        "$:/language/ThemeTweaks/Metrics/BodyLineHeight": {
            "title": "$:/language/ThemeTweaks/Metrics/BodyLineHeight",
            "text": "Line height for tiddler body"
        },
        "$:/language/ThemeTweaks/Metrics/StoryLeft": {
            "title": "$:/language/ThemeTweaks/Metrics/StoryLeft",
            "text": "Story left position"
        },
        "$:/language/ThemeTweaks/Metrics/StoryLeft/Hint": {
            "title": "$:/language/ThemeTweaks/Metrics/StoryLeft/Hint",
            "text": "how far the left margin of the story river<br>(tiddler area) is from the left of the page"
        },
        "$:/language/ThemeTweaks/Metrics/StoryTop": {
            "title": "$:/language/ThemeTweaks/Metrics/StoryTop",
            "text": "Story top position"
        },
        "$:/language/ThemeTweaks/Metrics/StoryTop/Hint": {
            "title": "$:/language/ThemeTweaks/Metrics/StoryTop/Hint",
            "text": "how far the top margin of the story river<br>is from the top of the page"
        },
        "$:/language/ThemeTweaks/Metrics/StoryRight": {
            "title": "$:/language/ThemeTweaks/Metrics/StoryRight",
            "text": "Story right"
        },
        "$:/language/ThemeTweaks/Metrics/StoryRight/Hint": {
            "title": "$:/language/ThemeTweaks/Metrics/StoryRight/Hint",
            "text": "how far the left margin of the sidebar <br>is from the left of the page"
        },
        "$:/language/ThemeTweaks/Metrics/StoryWidth": {
            "title": "$:/language/ThemeTweaks/Metrics/StoryWidth",
            "text": "Story width"
        },
        "$:/language/ThemeTweaks/Metrics/StoryWidth/Hint": {
            "title": "$:/language/ThemeTweaks/Metrics/StoryWidth/Hint",
            "text": "the overall width of the story river"
        },
        "$:/language/ThemeTweaks/Metrics/TiddlerWidth": {
            "title": "$:/language/ThemeTweaks/Metrics/TiddlerWidth",
            "text": "Tiddler width"
        },
        "$:/language/ThemeTweaks/Metrics/TiddlerWidth/Hint": {
            "title": "$:/language/ThemeTweaks/Metrics/TiddlerWidth/Hint",
            "text": "within the story river"
        },
        "$:/language/ThemeTweaks/Metrics/SidebarBreakpoint": {
            "title": "$:/language/ThemeTweaks/Metrics/SidebarBreakpoint",
            "text": "Sidebar breakpoint"
        },
        "$:/language/ThemeTweaks/Metrics/SidebarBreakpoint/Hint": {
            "title": "$:/language/ThemeTweaks/Metrics/SidebarBreakpoint/Hint",
            "text": "the minimum page width at which the story<br>river and sidebar will appear side by side"
        },
        "$:/language/ThemeTweaks/Metrics/SidebarWidth": {
            "title": "$:/language/ThemeTweaks/Metrics/SidebarWidth",
            "text": "Sidebar width"
        },
        "$:/language/ThemeTweaks/Metrics/SidebarWidth/Hint": {
            "title": "$:/language/ThemeTweaks/Metrics/SidebarWidth/Hint",
            "text": "the width of the sidebar in fluid-fixed layout"
        },
        "$:/language/TiddlerInfo/Advanced/Caption": {
            "title": "$:/language/TiddlerInfo/Advanced/Caption",
            "text": "Advanced"
        },
        "$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint": {
            "title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint",
            "text": "none"
        },
        "$:/language/TiddlerInfo/Advanced/PluginInfo/Heading": {
            "title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Heading",
            "text": "Plugin Details"
        },
        "$:/language/TiddlerInfo/Advanced/PluginInfo/Hint": {
            "title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Hint",
            "text": "This plugin contains the following shadow tiddlers:"
        },
        "$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading": {
            "title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading",
            "text": "Shadow Status"
        },
        "$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint": {
            "title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint",
            "text": "The tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> is not a shadow tiddler"
        },
        "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint": {
            "title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint",
            "text": "The tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> is a shadow tiddler"
        },
        "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source": {
            "title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source",
            "text": "It is defined in the plugin <$link to=<<pluginTiddler>>><$text text=<<pluginTiddler>>/></$link>"
        },
        "$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint": {
            "title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint",
            "text": "It is overridden by an ordinary tiddler"
        },
        "$:/language/TiddlerInfo/Fields/Caption": {
            "title": "$:/language/TiddlerInfo/Fields/Caption",
            "text": "Fields"
        },
        "$:/language/TiddlerInfo/List/Caption": {
            "title": "$:/language/TiddlerInfo/List/Caption",
            "text": "List"
        },
        "$:/language/TiddlerInfo/List/Empty": {
            "title": "$:/language/TiddlerInfo/List/Empty",
            "text": "This tiddler does not have a list"
        },
        "$:/language/TiddlerInfo/Listed/Caption": {
            "title": "$:/language/TiddlerInfo/Listed/Caption",
            "text": "Listed"
        },
        "$:/language/TiddlerInfo/Listed/Empty": {
            "title": "$:/language/TiddlerInfo/Listed/Empty",
            "text": "This tiddler is not listed by any others"
        },
        "$:/language/TiddlerInfo/References/Caption": {
            "title": "$:/language/TiddlerInfo/References/Caption",
            "text": "Backlinks"
        },
        "$:/language/TiddlerInfo/References/Empty": {
            "title": "$:/language/TiddlerInfo/References/Empty",
            "text": "No tiddlers link to this one"
        },
        "$:/language/TiddlerInfo/Tagging/Caption": {
            "title": "$:/language/TiddlerInfo/Tagging/Caption",
            "text": "Tagging"
        },
        "$:/language/TiddlerInfo/Tagging/Empty": {
            "title": "$:/language/TiddlerInfo/Tagging/Empty",
            "text": "No tiddlers are tagged with this one"
        },
        "$:/language/TiddlerInfo/Tools/Caption": {
            "title": "$:/language/TiddlerInfo/Tools/Caption",
            "text": "Tools"
        },
        "$:/language/Docs/Types/application/javascript": {
            "title": "$:/language/Docs/Types/application/javascript",
            "description": "JavaScript code",
            "name": "application/javascript",
            "group": "Developer",
            "group-sort": "2"
        },
        "$:/language/Docs/Types/application/json": {
            "title": "$:/language/Docs/Types/application/json",
            "description": "JSON data",
            "name": "application/json",
            "group": "Developer",
            "group-sort": "2"
        },
        "$:/language/Docs/Types/application/x-tiddler-dictionary": {
            "title": "$:/language/Docs/Types/application/x-tiddler-dictionary",
            "description": "Data dictionary",
            "name": "application/x-tiddler-dictionary",
            "group": "Developer",
            "group-sort": "2"
        },
        "$:/language/Docs/Types/image/gif": {
            "title": "$:/language/Docs/Types/image/gif",
            "description": "GIF image",
            "name": "image/gif",
            "group": "Image",
            "group-sort": "1"
        },
        "$:/language/Docs/Types/image/jpeg": {
            "title": "$:/language/Docs/Types/image/jpeg",
            "description": "JPEG image",
            "name": "image/jpeg",
            "group": "Image",
            "group-sort": "1"
        },
        "$:/language/Docs/Types/image/png": {
            "title": "$:/language/Docs/Types/image/png",
            "description": "PNG image",
            "name": "image/png",
            "group": "Image",
            "group-sort": "1"
        },
        "$:/language/Docs/Types/image/svg+xml": {
            "title": "$:/language/Docs/Types/image/svg+xml",
            "description": "Structured Vector Graphics image",
            "name": "image/svg+xml",
            "group": "Image",
            "group-sort": "1"
        },
        "$:/language/Docs/Types/image/x-icon": {
            "title": "$:/language/Docs/Types/image/x-icon",
            "description": "ICO format icon file",
            "name": "image/x-icon",
            "group": "Image",
            "group-sort": "1"
        },
        "$:/language/Docs/Types/text/css": {
            "title": "$:/language/Docs/Types/text/css",
            "description": "Static stylesheet",
            "name": "text/css",
            "group": "Developer",
            "group-sort": "2"
        },
        "$:/language/Docs/Types/text/html": {
            "title": "$:/language/Docs/Types/text/html",
            "description": "HTML markup",
            "name": "text/html",
            "group": "Text",
            "group-sort": "0"
        },
        "$:/language/Docs/Types/text/plain": {
            "title": "$:/language/Docs/Types/text/plain",
            "description": "Plain text",
            "name": "text/plain",
            "group": "Text",
            "group-sort": "0"
        },
        "$:/language/Docs/Types/text/vnd.tiddlywiki": {
            "title": "$:/language/Docs/Types/text/vnd.tiddlywiki",
            "description": "TiddlyWiki 5",
            "name": "text/vnd.tiddlywiki",
            "group": "Text",
            "group-sort": "0"
        },
        "$:/language/Docs/Types/text/x-tiddlywiki": {
            "title": "$:/language/Docs/Types/text/x-tiddlywiki",
            "description": "TiddlyWiki Classic",
            "name": "text/x-tiddlywiki",
            "group": "Text",
            "group-sort": "0"
        },
        "$:/languages/en-GB/icon": {
            "title": "$:/languages/en-GB/icon",
            "type": "image/svg+xml",
            "text": "<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 60 30\" width=\"1200\" height=\"600\">\n<clipPath id=\"t\">\n\t<path d=\"M30,15 h30 v15 z v15 h-30 z h-30 v-15 z v-15 h30 z\"/>\n</clipPath>\n<path d=\"M0,0 v30 h60 v-30 z\" fill=\"#00247d\"/>\n<path d=\"M0,0 L60,30 M60,0 L0,30\" stroke=\"#fff\" stroke-width=\"6\"/>\n<path d=\"M0,0 L60,30 M60,0 L0,30\" clip-path=\"url(#t)\" stroke=\"#cf142b\" stroke-width=\"4\"/>\n<path d=\"M30,0 v30 M0,15 h60\" stroke=\"#fff\" stroke-width=\"10\"/>\n<path d=\"M30,0 v30 M0,15 h60\" stroke=\"#cf142b\" stroke-width=\"6\"/>\n</svg>\n"
        },
        "$:/languages/en-GB": {
            "title": "$:/languages/en-GB",
            "name": "en-GB",
            "description": "English (British)",
            "author": "JeremyRuston",
            "core-version": ">=5.0.0\"",
            "text": "Stub pseudo-plugin for the default language"
        },
        "$:/core/modules/commander.js": {
            "title": "$:/core/modules/commander.js",
            "text": "/*\\\ntitle: $:/core/modules/commander.js\ntype: application/javascript\nmodule-type: global\n\nThe $tw.Commander class is a command interpreter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParse a sequence of commands\n\tcommandTokens: an array of command string tokens\n\twiki: reference to the wiki store object\n\tstreams: {output:, error:}, each of which has a write(string) method\n\tcallback: a callback invoked as callback(err) where err is null if there was no error\n*/\nvar Commander = function(commandTokens,callback,wiki,streams) {\n\tvar path = require(\"path\");\n\tthis.commandTokens = commandTokens;\n\tthis.nextToken = 0;\n\tthis.callback = callback;\n\tthis.wiki = wiki;\n\tthis.streams = streams;\n\tthis.outputPath = path.resolve($tw.boot.wikiPath,$tw.config.wikiOutputSubDir);\n};\n\n/*\nLog a string if verbose flag is set\n*/\nCommander.prototype.log = function(str) {\n\tif(this.verbose) {\n\t\tthis.streams.output.write(str + \"\\n\");\n\t}\n};\n\n/*\nWrite a string if verbose flag is set\n*/\nCommander.prototype.write = function(str) {\n\tif(this.verbose) {\n\t\tthis.streams.output.write(str);\n\t}\n};\n\n/*\nAdd a string of tokens to the command queue\n*/\nCommander.prototype.addCommandTokens = function(commandTokens) {\n\tvar params = commandTokens.slice(0);\n\tparams.unshift(0);\n\tparams.unshift(this.nextToken);\n\tArray.prototype.splice.apply(this.commandTokens,params);\n};\n\n/*\nExecute the sequence of commands and invoke a callback on completion\n*/\nCommander.prototype.execute = function() {\n\tthis.executeNextCommand();\n};\n\n/*\nExecute the next command in the sequence\n*/\nCommander.prototype.executeNextCommand = function() {\n\tvar self = this;\n\t// Invoke the callback if there are no more commands\n\tif(this.nextToken >= this.commandTokens.length) {\n\t\tthis.callback(null);\n\t} else {\n\t\t// Get and check the command token\n\t\tvar commandName = this.commandTokens[this.nextToken++];\n\t\tif(commandName.substr(0,2) !== \"--\") {\n\t\t\tthis.callback(\"Missing command: \" + commandName);\n\t\t} else {\n\t\t\tcommandName = commandName.substr(2); // Trim off the --\n\t\t\t// Accumulate the parameters to the command\n\t\t\tvar params = [];\n\t\t\twhile(this.nextToken < this.commandTokens.length && \n\t\t\t\tthis.commandTokens[this.nextToken].substr(0,2) !== \"--\") {\n\t\t\t\tparams.push(this.commandTokens[this.nextToken++]);\n\t\t\t}\n\t\t\t// Get the command info\n\t\t\tvar command = $tw.commands[commandName],\n\t\t\t\tc,err;\n\t\t\tif(!command) {\n\t\t\t\tthis.callback(\"Unknown command: \" + commandName);\n\t\t\t} else {\n\t\t\t\tif(this.verbose) {\n\t\t\t\t\tthis.streams.output.write(\"Executing command: \" + commandName + \" \" + params.join(\" \") + \"\\n\");\n\t\t\t\t}\n\t\t\t\t// Parse named parameters if required\n\t\t\t\tif(command.info.namedParameterMode) {\n\t\t\t\t\tparams = this.extractNamedParameters(params,command.info.mandatoryParameters);\n\t\t\t\t\tif(typeof params === \"string\") {\n\t\t\t\t\t\treturn this.callback(params);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(command.info.synchronous) {\n\t\t\t\t\t// Synchronous command\n\t\t\t\t\tc = new command.Command(params,this);\n\t\t\t\t\terr = c.execute();\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\tthis.callback(err);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthis.executeNextCommand();\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// Asynchronous command\n\t\t\t\t\tc = new command.Command(params,this,function(err) {\n\t\t\t\t\t\tif(err) {\n\t\t\t\t\t\t\tself.callback(err);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tself.executeNextCommand();\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t\terr = c.execute();\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\tthis.callback(err);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n};\n\n/*\nGiven an array of parameter strings `params` in name:value format, and an array of mandatory parameter names in `mandatoryParameters`, returns a hashmap of values or a string if error\n*/\nCommander.prototype.extractNamedParameters = function(params,mandatoryParameters) {\n\tmandatoryParameters = mandatoryParameters || [];\n\tvar errors = [],\n\t\tparamsByName = Object.create(null);\n\t// Extract the parameters\n\t$tw.utils.each(params,function(param) {\n\t\tvar index = param.indexOf(\"=\");\n\t\tif(index < 1) {\n\t\t\terrors.push(\"malformed named parameter: '\" + param + \"'\");\n\t\t}\n\t\tparamsByName[param.slice(0,index)] = $tw.utils.trim(param.slice(index+1));\n\t});\n\t// Check the mandatory parameters are present\n\t$tw.utils.each(mandatoryParameters,function(mandatoryParameter) {\n\t\tif(!$tw.utils.hop(paramsByName,mandatoryParameter)) {\n\t\t\terrors.push(\"missing mandatory parameter: '\" + mandatoryParameter + \"'\");\n\t\t}\n\t});\n\t// Return any errors\n\tif(errors.length > 0) {\n\t\treturn errors.join(\" and\\n\");\n\t} else {\n\t\treturn paramsByName;\t\t\n\t}\n};\n\nCommander.initCommands = function(moduleType) {\n\tmoduleType = moduleType || \"command\";\n\t$tw.commands = {};\n\t$tw.modules.forEachModuleOfType(moduleType,function(title,module) {\n\t\tvar c = $tw.commands[module.info.name] = {};\n\t\t// Add the methods defined by the module\n\t\tfor(var f in module) {\n\t\t\tif($tw.utils.hop(module,f)) {\n\t\t\t\tc[f] = module[f];\n\t\t\t}\n\t\t}\n\t});\n};\n\nexports.Commander = Commander;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/commands/build.js": {
            "title": "$:/core/modules/commands/build.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/build.js\ntype: application/javascript\nmodule-type: command\n\nCommand to build a build target\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"build\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\t// Get the build targets defined in the wiki\n\tvar buildTargets = $tw.boot.wikiInfo.build;\n\tif(!buildTargets) {\n\t\treturn \"No build targets defined\";\n\t}\n\t// Loop through each of the specified targets\n\tvar targets;\n\tif(this.params.length > 0) {\n\t\ttargets = this.params;\n\t} else {\n\t\ttargets = Object.keys(buildTargets);\n\t}\n\tfor(var targetIndex=0; targetIndex<targets.length; targetIndex++) {\n\t\tvar target = targets[targetIndex],\n\t\t\tcommands = buildTargets[target];\n\t\tif(!commands) {\n\t\t\treturn \"Build target '\" + target + \"' not found\";\n\t\t}\n\t\t// Add the commands to the queue\n\t\tthis.commander.addCommandTokens(commands);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/clearpassword.js": {
            "title": "$:/core/modules/commands/clearpassword.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/clearpassword.js\ntype: application/javascript\nmodule-type: command\n\nClear password for crypto operations\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"clearpassword\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\t$tw.crypto.setPassword(null);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/deletetiddlers.js": {
            "title": "$:/core/modules/commands/deletetiddlers.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/deletetiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to delete tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"deletetiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filter\";\n\t}\n\tvar self = this,\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\twiki.deleteTiddler(title);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/editions.js": {
            "title": "$:/core/modules/commands/editions.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/editions.js\ntype: application/javascript\nmodule-type: command\n\nCommand to list the available editions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"editions\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this;\n\t// Output the list\n\tthis.commander.streams.output.write(\"Available editions:\\n\\n\");\n\tvar editionInfo = $tw.utils.getEditionInfo();\n\t$tw.utils.each(editionInfo,function(info,name) {\n\t\tself.commander.streams.output.write(\"    \" + name + \": \" + info.description + \"\\n\");\n\t});\n\tthis.commander.streams.output.write(\"\\n\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/fetch.js": {
            "title": "$:/core/modules/commands/fetch.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/fetch.js\ntype: application/javascript\nmodule-type: command\n\nCommands to fetch external tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"fetch\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing subcommand and url\";\n\t}\n\tswitch(this.params[0]) {\n\t\tcase \"raw-file\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\traw: true,\n\t\t\t\turl: this.params[1],\n\t\t\t\ttransformFilter: this.params[2] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"file\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\turl: this.params[1],\n\t\t\t\timportFilter: this.params[2],\n\t\t\t\ttransformFilter: this.params[3] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"raw-files\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\traw: true,\n\t\t\t\turlFilter: this.params[1],\n\t\t\t\ttransformFilter: this.params[2] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"files\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\turlFilter: this.params[1],\n\t\t\t\timportFilter: this.params[2],\n\t\t\t\ttransformFilter: this.params[3] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t}\n\treturn null;\n};\n\nCommand.prototype.fetchFiles = function(options) {\n\tvar self = this;\n\t// Get the list of URLs\n\tvar urls;\n\tif(options.url) {\n\t\turls = [options.url]\n\t} else if(options.urlFilter) {\n\t\turls = this.commander.wiki.filterTiddlers(options.urlFilter);\n\t} else {\n\t\treturn \"Missing URL\";\n\t}\n\t// Process each URL in turn\n\tvar next = 0;\n\tvar getNextFile = function(err) {\n\t\tif(err) {\n\t\t\treturn options.callback(err);\n\t\t}\n\t\tif(next < urls.length) {\n\t\t\tself.fetchFile(urls[next++],options,getNextFile);\n\t\t} else {\n\t\t\toptions.callback(null);\n\t\t}\n\t};\n\tgetNextFile(null);\n\t// Success\n\treturn null;\n};\n\nCommand.prototype.fetchFile = function(url,options,callback,redirectCount) {\n\tif(redirectCount > 10) {\n\t\treturn callback(\"Error too many redirects retrieving \" + url);\n\t}\n\tvar self = this,\n\t\tlib = url.substr(0,8) === \"https://\" ? require(\"https\") : require(\"http\");\n\tlib.get(url).on(\"response\",function(response) {\n\t    var type = (response.headers[\"content-type\"] || \"\").split(\";\")[0],\n\t    \tdata = [];\n\t    self.commander.write(\"Reading \" + url + \": \");\n\t    response.on(\"data\",function(chunk) {\n\t        data.push(chunk);\n\t        self.commander.write(\".\");\n\t    });\n\t    response.on(\"end\",function() {\n\t        self.commander.write(\"\\n\");\n\t        if(response.statusCode === 200) {\n\t\t        self.processBody(Buffer.concat(data),type,options,url);\n\t\t        callback(null);\n\t        } else {\n\t        \tif(response.statusCode === 302 || response.statusCode === 303 || response.statusCode === 307) {\n\t        \t\treturn self.fetchFile(response.headers.location,options,callback,redirectCount + 1);\n\t        \t} else {\n\t\t        \treturn callback(\"Error \" + response.statusCode + \" retrieving \" + url)\t        \t\t\n\t        \t}\n\t        }\n\t   \t});\n\t   \tresponse.on(\"error\",function(e) {\n\t\t\tconsole.log(\"Error on GET request: \" + e);\n\t\t\tcallback(e);\n\t   \t});\n\t});\n\treturn null;\n};\n\nCommand.prototype.processBody = function(body,type,options,url) {\n\tvar self = this;\n\t// Collect the tiddlers in a wiki\n\tvar incomingWiki = new $tw.Wiki();\n\tif(options.raw) {\n\t\tvar typeInfo = type ? $tw.config.contentTypeInfo[type] : null,\n\t\t\tencoding = typeInfo ? typeInfo.encoding : \"utf8\";\n\t\tincomingWiki.addTiddler(new $tw.Tiddler({\n\t\t\ttitle: url,\n\t\t\ttype: type,\n\t\t\ttext: body.toString(encoding)\n\t\t}));\n\t} else {\n\t\t// Deserialise the file to extract the tiddlers\n\t\tvar tiddlers = this.commander.wiki.deserializeTiddlers(type || \"text/html\",body.toString(\"utf8\"),{});\n\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\tincomingWiki.addTiddler(new $tw.Tiddler(tiddler));\n\t\t});\n\t}\n\t// Filter the tiddlers to select the ones we want\n\tvar filteredTitles = incomingWiki.filterTiddlers(options.importFilter || \"[all[tiddlers]]\");\n\t// Import the selected tiddlers\n\tvar count = 0;\n\tincomingWiki.each(function(tiddler,title) {\n\t\tif(filteredTitles.indexOf(title) !== -1) {\n\t\t\tvar newTiddler;\n\t\t\tif(options.transformFilter) {\n\t\t\t\tvar transformedTitle = (incomingWiki.filterTiddlers(options.transformFilter,null,self.commander.wiki.makeTiddlerIterator([title])) || [\"\"])[0];\n\t\t\t\tif(transformedTitle) {\n\t\t\t\t\tself.commander.log(\"Importing \" + title + \" as \" + transformedTitle)\n\t\t\t\t\tnewTiddler = new $tw.Tiddler(tiddler,{title: transformedTitle});\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tself.commander.log(\"Importing \" + title)\n\t\t\t\tnewTiddler = tiddler;\n\t\t\t}\n\t\t\tself.commander.wiki.importTiddler(newTiddler);\n\t\t\tcount++;\n\t\t}\n\t});\n\tself.commander.log(\"Imported \" + count + \" tiddlers\")\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/help.js": {
            "title": "$:/core/modules/commands/help.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/help.js\ntype: application/javascript\nmodule-type: command\n\nHelp command\n\n\\*/\n(function(){\n\n/*jshint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"help\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar subhelp = this.params[0] || \"default\",\n\t\thelpBase = \"$:/language/Help/\",\n\t\ttext;\n\tif(!this.commander.wiki.getTiddler(helpBase + subhelp)) {\n\t\tsubhelp = \"notfound\";\n\t}\n\t// Wikify the help as formatted text (ie block elements generate newlines)\n\ttext = this.commander.wiki.renderTiddler(\"text/plain-formatted\",helpBase + subhelp);\n\t// Remove any leading linebreaks\n\ttext = text.replace(/^(\\r?\\n)*/g,\"\");\n\tthis.commander.streams.output.write(text);\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/import.js": {
            "title": "$:/core/modules/commands/import.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/import.js\ntype: application/javascript\nmodule-type: command\n\nCommand to import tiddlers from a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"import\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 2) {\n\t\treturn \"Missing parameters\";\n\t}\n\tvar filename = self.params[0],\n\t\tdeserializer = self.params[1],\n\t\ttitle = self.params[2] || filename,\n\t\tencoding = self.params[3] || \"utf8\",\n\t\ttext = fs.readFileSync(filename,encoding),\n\t\ttiddlers = this.commander.wiki.deserializeTiddlers(null,text,{title: title},{deserializer: deserializer});\n\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\tself.commander.wiki.importTiddler(new $tw.Tiddler(tiddler));\n\t});\n\tthis.commander.log(tiddlers.length + \" tiddler(s) imported\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/init.js": {
            "title": "$:/core/modules/commands/init.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/init.js\ntype: application/javascript\nmodule-type: command\n\nCommand to initialise an empty wiki folder\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"init\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar fs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\t// Check that we don't already have a valid wiki folder\n\tif($tw.boot.wikiTiddlersPath || ($tw.utils.isDirectory($tw.boot.wikiPath) && !$tw.utils.isDirectoryEmpty($tw.boot.wikiPath))) {\n\t\treturn \"Wiki folder is not empty\";\n\t}\n\t// Loop through each of the specified editions\n\tvar editions = this.params.length > 0 ? this.params : [\"empty\"];\n\tfor(var editionIndex=0; editionIndex<editions.length; editionIndex++) {\n\t\tvar editionName = editions[editionIndex];\n\t\t// Check the edition exists\n\t\tvar editionPath = $tw.findLibraryItem(editionName,$tw.getLibraryItemSearchPaths($tw.config.editionsPath,$tw.config.editionsEnvVar));\n\t\tif(!$tw.utils.isDirectory(editionPath)) {\n\t\t\treturn \"Edition '\" + editionName + \"' not found\";\n\t\t}\n\t\t// Copy the edition content\n\t\tvar err = $tw.utils.copyDirectory(editionPath,$tw.boot.wikiPath);\n\t\tif(!err) {\n\t\t\tthis.commander.streams.output.write(\"Copied edition '\" + editionName + \"' to \" + $tw.boot.wikiPath + \"\\n\");\n\t\t} else {\n\t\t\treturn err;\n\t\t}\n\t}\n\t// Tweak the tiddlywiki.info to remove any included wikis\n\tvar packagePath = $tw.boot.wikiPath + \"/tiddlywiki.info\",\n\t\tpackageJson = JSON.parse(fs.readFileSync(packagePath));\n\tdelete packageJson.includeWikis;\n\tfs.writeFileSync(packagePath,JSON.stringify(packageJson,null,$tw.config.preferences.jsonSpaces));\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/listen.js": {
            "title": "$:/core/modules/commands/listen.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/listen.js\ntype: application/javascript\nmodule-type: command\n\nListen for HTTP requests and serve tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Server = require(\"$:/core/modules/server/server.js\").Server;\n\nexports.info = {\n\tname: \"listen\",\n\tsynchronous: true,\n\tnamedParameterMode: true,\n\tmandatoryParameters: [],\n};\n\nvar Command = function(params,commander,callback) {\n\tvar self = this;\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this;\n\tif(!$tw.boot.wikiTiddlersPath) {\n\t\t$tw.utils.warning(\"Warning: Wiki folder '\" + $tw.boot.wikiPath + \"' does not exist or is missing a tiddlywiki.info file\");\n\t}\n\t// Set up server\n\tthis.server = new Server({\n\t\twiki: this.commander.wiki,\n\t\tvariables: self.params\n\t});\n\tvar nodeServer = this.server.listen();\n\t$tw.hooks.invokeHook(\"th-server-command-post-start\",this.server,nodeServer,\"tiddlywiki\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/load.js": {
            "title": "$:/core/modules/commands/load.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/load.js\ntype: application/javascript\nmodule-type: command\n\nCommand to load tiddlers from a file or directory\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"load\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar tiddlers = $tw.loadTiddlersFromPath(self.params[0]),\n\t\tcount = 0;\n\t$tw.utils.each(tiddlers,function(tiddlerInfo) {\n\t\t$tw.utils.each(tiddlerInfo.tiddlers,function(tiddler) {\n\t\t\tself.commander.wiki.importTiddler(new $tw.Tiddler(tiddler));\n\t\t\tcount++;\n\t\t});\n\t});\n\tif(!count && self.params[1] !== \"noerror\") {\n\t\tself.callback(\"No tiddlers found in file \\\"\" + self.params[0] + \"\\\"\");\n\t} else {\n\t\tself.callback(null);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/makelibrary.js": {
            "title": "$:/core/modules/commands/makelibrary.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/makelibrary.js\ntype: application/javascript\nmodule-type: command\n\nCommand to pack all of the plugins in the library into a plugin tiddler of type \"library\"\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"makelibrary\",\n\tsynchronous: true\n};\n\nvar UPGRADE_LIBRARY_TITLE = \"$:/UpgradeLibrary\";\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar wiki = this.commander.wiki,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\tupgradeLibraryTitle = this.params[0] || UPGRADE_LIBRARY_TITLE,\n\t\ttiddlers = {};\n\t// Collect up the library plugins\n\tvar collectPlugins = function(folder) {\n\t\t\tvar pluginFolders = $tw.utils.getSubdirectories(folder) || [];\n\t\t\tfor(var p=0; p<pluginFolders.length; p++) {\n\t\t\t\tif(!$tw.boot.excludeRegExp.test(pluginFolders[p])) {\n\t\t\t\t\tpluginFields = $tw.loadPluginFolder(path.resolve(folder,\"./\" + pluginFolders[p]));\n\t\t\t\t\tif(pluginFields && pluginFields.title) {\n\t\t\t\t\t\ttiddlers[pluginFields.title] = pluginFields;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\tcollectPublisherPlugins = function(folder) {\n\t\t\tvar publisherFolders = $tw.utils.getSubdirectories(folder) || [];\n\t\t\tfor(var t=0; t<publisherFolders.length; t++) {\n\t\t\t\tif(!$tw.boot.excludeRegExp.test(publisherFolders[t])) {\n\t\t\t\t\tcollectPlugins(path.resolve(folder,\"./\" + publisherFolders[t]));\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.pluginsPath,$tw.config.pluginsEnvVar),collectPublisherPlugins);\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.themesPath,$tw.config.themesEnvVar),collectPublisherPlugins);\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.languagesPath,$tw.config.languagesEnvVar),collectPlugins);\n\t// Save the upgrade library tiddler\n\tvar pluginFields = {\n\t\ttitle: upgradeLibraryTitle,\n\t\ttype: \"application/json\",\n\t\t\"plugin-type\": \"library\",\n\t\t\"text\": JSON.stringify({tiddlers: tiddlers})\n\t};\n\twiki.addTiddler(new $tw.Tiddler(pluginFields));\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/output.js": {
            "title": "$:/core/modules/commands/output.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/output.js\ntype: application/javascript\nmodule-type: command\n\nCommand to set the default output location (defaults to current working directory)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"output\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar fs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 1) {\n\t\treturn \"Missing output path\";\n\t}\n\tthis.commander.outputPath = path.resolve(process.cwd(),this.params[0]);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/password.js": {
            "title": "$:/core/modules/commands/password.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/password.js\ntype: application/javascript\nmodule-type: command\n\nSave password for crypto operations\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"password\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing password\";\n\t}\n\t$tw.crypto.setPassword(this.params[0]);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/render.js": {
            "title": "$:/core/modules/commands/render.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/render.js\ntype: application/javascript\nmodule-type: command\n\nRender individual tiddlers and save the results to the specified files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"render\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing tiddler filter\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\ttiddlerFilter = this.params[0],\n\t\tfilenameFilter = this.params[1] || \"[is[tiddler]addsuffix[.html]]\",\n\t\ttype = this.params[2] || \"text/html\",\n\t\ttemplate = this.params[3],\n\t\tvarName = this.params[4],\n\t\tvarValue = this.params[5],\n\t\ttiddlers = wiki.filterTiddlers(tiddlerFilter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(template || title),\n\t\t\tvariables = {currentTiddler: title};\n\t\tif(varName) {\n\t\t\tvariables[varName] = varValue || \"\";\n\t\t}\n\t\tvar widgetNode = wiki.makeWidget(parser,{variables: variables}),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\tvar text = type === \"text/html\" ? container.innerHTML : container.textContent,\n\t\t\tfilepath = path.resolve(self.commander.outputPath,wiki.filterTiddlers(filenameFilter,$tw.rootWidget,wiki.makeTiddlerIterator([title]))[0]);\n\t\tif(self.commander.verbose) {\n\t\t\tconsole.log(\"Rendering \\\"\" + title + \"\\\" to \\\"\" + filepath + \"\\\"\");\n\t\t}\n\t\t$tw.utils.createFileDirectories(filepath);\n\t\tfs.writeFileSync(filepath,text,\"utf8\");\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/rendertiddler.js": {
            "title": "$:/core/modules/commands/rendertiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/rendertiddler.js\ntype: application/javascript\nmodule-type: command\n\nCommand to render a tiddler and save it to a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"rendertiddler\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\ttitle = this.params[0],\n\t\tfilename = path.resolve(this.commander.outputPath,this.params[1]),\n\t\ttype = this.params[2] || \"text/html\",\n\t\ttemplate = this.params[3],\n\t\tname = this.params[4],\n\t\tvalue = this.params[5],\n\t\tvariables = {};\n\t$tw.utils.createFileDirectories(filename);\n\tif(template) {\n\t\tvariables.currentTiddler = title;\n\t\ttitle = template;\n\t}\n\tif(name && value) {\n\t\tvariables[name] = value;\n\t}\n\tfs.writeFile(filename,this.commander.wiki.renderTiddler(type,title,{variables: variables}),\"utf8\",function(err) {\n\t\tself.callback(err);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/rendertiddlers.js": {
            "title": "$:/core/modules/commands/rendertiddlers.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/rendertiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to render several tiddlers to a folder of files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"rendertiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\ttemplate = this.params[1],\n\t\toutputPath = this.commander.outputPath,\n\t\tpathname = path.resolve(outputPath,this.params[2]),\t\t\n\t\ttype = this.params[3] || \"text/html\",\n\t\textension = this.params[4] || \".html\",\n\t\tdeleteDirectory = (this.params[5] || \"\").toLowerCase() !== \"noclean\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\tif(deleteDirectory) {\n\t\t$tw.utils.deleteDirectory(pathname);\n\t}\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(template),\n\t\t\twidgetNode = wiki.makeWidget(parser,{variables: {currentTiddler: title}}),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\tvar text = type === \"text/html\" ? container.innerHTML : container.textContent,\n\t\t\texportPath = null;\n\t\tif($tw.utils.hop($tw.macros,\"tv-get-export-path\")) {\n\t\t\tvar macroPath = $tw.macros[\"tv-get-export-path\"].run.apply(self,[title]);\n\t\t\tif(macroPath) {\n\t\t\t\texportPath = path.resolve(outputPath,macroPath + extension);\n\t\t\t}\n\t\t}\n\t\tvar finalPath = exportPath || path.resolve(pathname,encodeURIComponent(title) + extension);\n\t\t$tw.utils.createFileDirectories(finalPath);\n\t\tfs.writeFileSync(finalPath,text,\"utf8\");\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/save.js": {
            "title": "$:/core/modules/commands/save.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/save.js\ntype: application/javascript\nmodule-type: command\n\nSaves individual tiddlers in their raw text or binary format to the specified files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"save\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename filter\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\ttiddlerFilter = this.params[0],\n\t\tfilenameFilter = this.params[1] || \"[is[tiddler]]\",\n\t\ttiddlers = wiki.filterTiddlers(tiddlerFilter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.commander.wiki.getTiddler(title),\n\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"},\n\t\t\tfilepath = path.resolve(self.commander.outputPath,wiki.filterTiddlers(filenameFilter,$tw.rootWidget,wiki.makeTiddlerIterator([title]))[0]);\n\t\tif(self.commander.verbose) {\n\t\t\tconsole.log(\"Saving \\\"\" + title + \"\\\" to \\\"\" + filepath + \"\\\"\");\n\t\t}\n\t\t$tw.utils.createFileDirectories(filepath);\n\t\tfs.writeFileSync(filepath,tiddler.fields.text,contentTypeInfo.encoding);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/savelibrarytiddlers.js": {
            "title": "$:/core/modules/commands/savelibrarytiddlers.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/savelibrarytiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the subtiddlers of a bundle tiddler as a series of JSON files\n\n--savelibrarytiddlers <tiddler> <tiddler-filter> <pathname> <skinnylisting>\n\nThe tiddler identifies the bundle tiddler that contains the subtiddlers.\n\nThe tiddler filter specifies the plugins to be included.\n\nThe pathname specifies the pathname to the folder in which the JSON files should be saved. The filename is the URL encoded title of the subtiddler.\n\nThe skinnylisting specifies the title of the tiddler to which a JSON catalogue of the subtiddlers will be saved. The JSON file contains the same data as the bundle tiddler but with the `text` field removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savelibrarytiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\tcontainerTitle = this.params[0],\n\t\tfilter = this.params[1],\n\t\tbasepath = this.params[2],\n\t\tskinnyListTitle = this.params[3];\n\t// Get the container tiddler as data\n\tvar containerData = self.commander.wiki.getTiddlerDataCached(containerTitle,undefined);\n\tif(!containerData) {\n\t\treturn \"'\" + containerTitle + \"' is not a tiddler bundle\";\n\t}\n\t// Filter the list of plugins\n\tvar pluginList = [];\n\t$tw.utils.each(containerData.tiddlers,function(tiddler,title) {\n\t\tpluginList.push(title);\n\t});\n\tvar filteredPluginList;\n\tif(filter) {\n\t\tfilteredPluginList = self.commander.wiki.filterTiddlers(filter,null,self.commander.wiki.makeTiddlerIterator(pluginList));\n\t} else {\n\t\tfilteredPluginList = pluginList;\n\t}\n\t// Iterate through the plugins\n\tvar skinnyList = [];\n\t$tw.utils.each(filteredPluginList,function(title) {\n\t\tvar tiddler = containerData.tiddlers[title];\n\t\t// Save each JSON file and collect the skinny data\n\t\tvar pathname = path.resolve(self.commander.outputPath,basepath + encodeURIComponent(title) + \".json\");\n\t\t$tw.utils.createFileDirectories(pathname);\n\t\tfs.writeFileSync(pathname,JSON.stringify(tiddler),\"utf8\");\n\t\t// Collect the skinny list data\n\t\tvar pluginTiddlers = JSON.parse(tiddler.text),\n\t\t\treadmeContent = (pluginTiddlers.tiddlers[title + \"/readme\"] || {}).text,\n\t\t\tdoesRequireReload = !!self.commander.wiki.doesPluginInfoRequireReload(pluginTiddlers),\n\t\t\ticonTiddler = pluginTiddlers.tiddlers[title + \"/icon\"] || {},\n\t\t\ticonType = iconTiddler.type,\n\t\t\ticonText = iconTiddler.text,\n\t\t\ticonContent;\n\t\tif(iconType && iconText) {\n\t\t\ticonContent = $tw.utils.makeDataUri(iconText,iconType);\n\t\t}\n\t\tskinnyList.push($tw.utils.extend({},tiddler,{\n\t\t\ttext: undefined,\n\t\t\treadme: readmeContent,\n\t\t\t\"requires-reload\": doesRequireReload ? \"yes\" : \"no\",\n\t\t\ticon: iconContent\n\t\t}));\n\t});\n\t// Save the catalogue tiddler\n\tif(skinnyListTitle) {\n\t\tself.commander.wiki.setTiddlerData(skinnyListTitle,skinnyList);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/savetiddler.js": {
            "title": "$:/core/modules/commands/savetiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/savetiddler.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the content of a tiddler to a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savetiddler\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\ttitle = this.params[0],\n\t\tfilename = path.resolve(this.commander.outputPath,this.params[1]),\n\t\ttiddler = this.commander.wiki.getTiddler(title);\n\tif(tiddler) {\n\t\tvar type = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"};\n\t\t$tw.utils.createFileDirectories(filename);\n\t\tfs.writeFile(filename,tiddler.fields.text,contentTypeInfo.encoding,function(err) {\n\t\t\tself.callback(err);\n\t\t});\n\t} else {\n\t\treturn \"Missing tiddler: \" + title;\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/savetiddlers.js": {
            "title": "$:/core/modules/commands/savetiddlers.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/savetiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save several tiddlers to a folder of files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"savetiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\tpathname = path.resolve(this.commander.outputPath,this.params[1]),\n\t\tdeleteDirectory = (this.params[2] || \"\").toLowerCase() !== \"noclean\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\tif(deleteDirectory) {\n\t\t$tw.utils.deleteDirectory(pathname);\n\t}\n\t$tw.utils.createDirectory(pathname);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.commander.wiki.getTiddler(title),\n\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"},\n\t\t\tfilename = path.resolve(pathname,encodeURIComponent(title));\n\t\tfs.writeFileSync(filename,tiddler.fields.text,contentTypeInfo.encoding);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/savewikifolder.js": {
            "title": "$:/core/modules/commands/savewikifolder.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/savewikifolder.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the current wiki as a wiki folder\n\n--savewikifolder <wikifolderpath> [<filter>]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savewikifolder\",\n\tsynchronous: true\n};\n\nvar fs,path;\nif($tw.node) {\n\tfs = require(\"fs\");\n\tpath = require(\"path\");\n}\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing wiki folder path\";\n\t}\n\tvar wikifoldermaker = new WikiFolderMaker(this.params[0],this.params[1],this.commander);\n\treturn wikifoldermaker.save();\n};\n\nfunction WikiFolderMaker(wikiFolderPath,wikiFilter,commander) {\n\tthis.wikiFolderPath = wikiFolderPath;\n\tthis.wikiFilter = wikiFilter || \"[all[tiddlers]]\";\n\tthis.commander = commander;\n\tthis.wiki = commander.wiki;\n\tthis.savedPaths = []; // So that we can detect filename clashes\n}\n\nWikiFolderMaker.prototype.log = function(str) {\n\tif(this.commander.verbose) {\n\t\tconsole.log(str);\n\t}\n};\n\nWikiFolderMaker.prototype.tiddlersToIgnore = [\n\t\"$:/boot/boot.css\",\n\t\"$:/boot/boot.js\",\n\t\"$:/boot/bootprefix.js\",\n\t\"$:/core\",\n\t\"$:/library/sjcl.js\",\n\t\"$:/temp/info-plugin\"\n];\n\n/*\nReturns null if successful, or an error string if there was an error\n*/\nWikiFolderMaker.prototype.save = function() {\n\tvar self = this;\n\t// Check that the output directory doesn't exist\n\tif(fs.existsSync(this.wikiFolderPath) && !$tw.utils.isDirectoryEmpty(this.wikiFolderPath)) {\n\t\treturn \"The unpackwiki command requires that the output wiki folder be empty\";\n\t}\n\t// Get the tiddlers from the source wiki\n\tvar tiddlerTitles = this.wiki.filterTiddlers(this.wikiFilter);\n\t// Initialise a new tiddlwiki.info file\n\tvar newWikiInfo = {};\n\t// Process each incoming tiddler in turn\n\t$tw.utils.each(tiddlerTitles,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\tif(tiddler) {\n\t\t\tif(self.tiddlersToIgnore.indexOf(title) !== -1) {\n\t\t\t\t// Ignore the core plugin and the ephemeral info plugin\n\t\t\t\tself.log(\"Ignoring tiddler: \" + title);\n\t\t\t} else {\n\t\t\t\tvar type = tiddler.fields.type,\n\t\t\t\t\tpluginType = tiddler.fields[\"plugin-type\"];\n\t\t\t\tif(type === \"application/json\" && pluginType) {\n\t\t\t\t\t// Plugin tiddler\n\t\t\t\t\tvar libraryDetails = self.findPluginInLibrary(title);\n\t\t\t\t\tif(libraryDetails) {\n\t\t\t\t\t\t// A plugin from the core library\n\t\t\t\t\t\tself.log(\"Adding built-in plugin: \" + libraryDetails.name);\n\t\t\t\t\t\tnewWikiInfo[libraryDetails.type] = newWikiInfo[libraryDetails.type]  || [];\n\t\t\t\t\t\t$tw.utils.pushTop(newWikiInfo[libraryDetails.type],libraryDetails.name);\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// A custom plugin\n\t\t\t\t\t\tself.log(\"Processing custom plugin: \" + title);\n\t\t\t\t\t\tself.saveCustomPlugin(tiddler);\n\t\t\t\t\t}\t\t\t\t\n\t\t\t\t} else {\n\t\t\t\t\t// Ordinary tiddler\n\t\t\t\t\tself.saveTiddler(\"tiddlers\",tiddler);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\t// Save the tiddlywiki.info file\n\tthis.saveJSONFile(\"tiddlywiki.info\",newWikiInfo);\n\tself.log(\"Writing tiddlywiki.info: \" + JSON.stringify(newWikiInfo,null,$tw.config.preferences.jsonSpaces));\n\treturn null;\n};\n\n/*\nTest whether the specified tiddler is a plugin in the plugin library\n*/\nWikiFolderMaker.prototype.findPluginInLibrary = function(title) {\n\tvar parts = title.split(\"/\"),\n\t\tpluginPath, type, name;\n\tif(parts[0] === \"$:\") {\n\t\tif(parts[1] === \"languages\" && parts.length === 3) {\n\t\t\tpluginPath = \"languages\" + path.sep + parts[2];\n\t\t\ttype = parts[1];\n\t\t\tname = parts[2];\n\t\t} else if(parts[1] === \"plugins\" || parts[1] === \"themes\" && parts.length === 4) {\n\t\t\tpluginPath = parts[1] + path.sep + parts[2] + path.sep + parts[3];\n\t\t\ttype = parts[1];\n\t\t\tname = parts[2] + \"/\" + parts[3];\n\t\t}\n\t}\n\tif(pluginPath && type && name) {\n\t\tpluginPath = path.resolve($tw.boot.bootPath,\"..\",pluginPath);\n\t\tif(fs.existsSync(pluginPath)) {\n\t\t\treturn {\n\t\t\t\tpluginPath: pluginPath,\n\t\t\t\ttype: type,\n\t\t\t\tname: name\n\t\t\t};\n\t\t}\n\t}\n\treturn false;\n};\n\nWikiFolderMaker.prototype.saveCustomPlugin = function(pluginTiddler) {\n\tvar self = this,\n\t\tpluginTitle = pluginTiddler.fields.title,\n\t\ttitleParts = pluginTitle.split(\"/\"),\n\t\tdirectory = $tw.utils.generateTiddlerFilepath(titleParts[titleParts.length - 1],{\n\t\t\tdirectory: path.resolve(this.wikiFolderPath,pluginTiddler.fields[\"plugin-type\"] + \"s\")\n\t\t}),\n\t\tpluginInfo = pluginTiddler.getFieldStrings({exclude: [\"text\",\"type\"]});\n\tthis.saveJSONFile(directory + path.sep + \"plugin.info\",pluginInfo);\n\tself.log(\"Writing \" + directory + path.sep + \"plugin.info: \" + JSON.stringify(pluginInfo,null,$tw.config.preferences.jsonSpaces));\n\tvar pluginTiddlers = JSON.parse(pluginTiddler.fields.text).tiddlers; // A hashmap of tiddlers in the plugin\n\t$tw.utils.each(pluginTiddlers,function(tiddler) {\n\t\tself.saveTiddler(directory,new $tw.Tiddler(tiddler));\n\t});\n};\n\nWikiFolderMaker.prototype.saveTiddler = function(directory,tiddler) {\n\tvar fileInfo = $tw.utils.generateTiddlerFileInfo(tiddler,{\n\t\tdirectory: path.resolve(this.wikiFolderPath,directory),\n\t\twiki: this.wiki\n\t});\n\t$tw.utils.saveTiddlerToFileSync(tiddler,fileInfo);\n};\n\nWikiFolderMaker.prototype.saveJSONFile = function(filename,json) {\n\tthis.saveTextFile(filename,JSON.stringify(json,null,$tw.config.preferences.jsonSpaces));\n};\n\nWikiFolderMaker.prototype.saveTextFile = function(filename,data) {\n\tthis.saveFile(filename,\"utf8\",data);\n};\n\nWikiFolderMaker.prototype.saveFile = function(filename,encoding,data) {\n\tvar filepath = path.resolve(this.wikiFolderPath,filename);\n\t$tw.utils.createFileDirectories(filepath);\n\tfs.writeFileSync(filepath,data,encoding);\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/server.js": {
            "title": "$:/core/modules/commands/server.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/server.js\ntype: application/javascript\nmodule-type: command\n\nDeprecated legacy command for serving tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Server = require(\"$:/core/modules/server/server.js\").Server;\n\nexports.info = {\n\tname: \"server\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tvar self = this;\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(!$tw.boot.wikiTiddlersPath) {\n\t\t$tw.utils.warning(\"Warning: Wiki folder '\" + $tw.boot.wikiPath + \"' does not exist or is missing a tiddlywiki.info file\");\n\t}\n\t// Set up server\n\tthis.server = new Server({\n\t\twiki: this.commander.wiki,\n\t\tvariables: {\n\t\t\tport: this.params[0],\n\t\t\thost: this.params[6],\n\t\t\t\"root-tiddler\": this.params[1],\n\t\t\t\"root-render-type\": this.params[2],\n\t\t\t\"root-serve-type\": this.params[3],\n\t\t\tusername: this.params[4],\n\t\t\tpassword: this.params[5],\n\t\t\t\"path-prefix\": this.params[7],\n\t\t\t\"debug-level\": this.params[8]\n\t\t}\n\t});\n\tvar nodeServer = this.server.listen();\n\t$tw.hooks.invokeHook(\"th-server-command-post-start\",this.server,nodeServer,\"tiddlywiki\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/setfield.js": {
            "title": "$:/core/modules/commands/setfield.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/setfield.js\ntype: application/javascript\nmodule-type: command\n\nCommand to modify selected tiddlers to set a field to the text of a template tiddler that has been wikified with the selected tiddler as the current tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"setfield\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 4) {\n\t\treturn \"Missing parameters\";\n\t}\n\tvar self = this,\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\tfieldname = this.params[1] || \"text\",\n\t\ttemplatetitle = this.params[2],\n\t\trendertype = this.params[3] || \"text/plain\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(templatetitle),\n\t\t\tnewFields = {},\n\t\t\ttiddler = wiki.getTiddler(title);\n\t\tif(parser) {\n\t\t\tvar widgetNode = wiki.makeWidget(parser,{variables: {currentTiddler: title}});\n\t\t\tvar container = $tw.fakeDocument.createElement(\"div\");\n\t\t\twidgetNode.render(container,null);\n\t\t\tnewFields[fieldname] = rendertype === \"text/html\" ? container.innerHTML : container.textContent;\n\t\t} else {\n\t\t\tnewFields[fieldname] = undefined;\n\t\t}\n\t\twiki.addTiddler(new $tw.Tiddler(tiddler,newFields));\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/unpackplugin.js": {
            "title": "$:/core/modules/commands/unpackplugin.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/unpackplugin.js\ntype: application/javascript\nmodule-type: command\n\nCommand to extract the shadow tiddlers from within a plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"unpackplugin\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing plugin name\";\n\t}\n\tvar self = this,\n\t\ttitle = this.params[0],\n\t\tpluginData = this.commander.wiki.getTiddlerDataCached(title);\n\tif(!pluginData) {\n\t\treturn \"Plugin '\" + title + \"' not found\";\n\t}\n\t$tw.utils.each(pluginData.tiddlers,function(tiddler) {\n\t\tself.commander.wiki.addTiddler(new $tw.Tiddler(tiddler));\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/verbose.js": {
            "title": "$:/core/modules/commands/verbose.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/verbose.js\ntype: application/javascript\nmodule-type: command\n\nVerbose command\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"verbose\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tthis.commander.verbose = true;\n\t// Output the boot message log\n\tthis.commander.streams.output.write(\"Boot log:\\n  \" + $tw.boot.logMessages.join(\"\\n  \") + \"\\n\");\n\treturn null; // No error\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/commands/version.js": {
            "title": "$:/core/modules/commands/version.js",
            "text": "/*\\\ntitle: $:/core/modules/commands/version.js\ntype: application/javascript\nmodule-type: command\n\nVersion command\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"version\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tthis.commander.streams.output.write($tw.version + \"\\n\");\n\treturn null; // No error\n};\n\nexports.Command = Command;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "command"
        },
        "$:/core/modules/config.js": {
            "title": "$:/core/modules/config.js",
            "text": "/*\\\ntitle: $:/core/modules/config.js\ntype: application/javascript\nmodule-type: config\n\nCore configuration constants\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.preferences = {};\n\nexports.preferences.notificationDuration = 3 * 1000;\nexports.preferences.jsonSpaces = 4;\n\nexports.textPrimitives = {\n\tupperLetter: \"[A-Z\\u00c0-\\u00d6\\u00d8-\\u00de\\u0150\\u0170]\",\n\tlowerLetter: \"[a-z\\u00df-\\u00f6\\u00f8-\\u00ff\\u0151\\u0171]\",\n\tanyLetter:   \"[A-Za-z0-9\\u00c0-\\u00d6\\u00d8-\\u00de\\u00df-\\u00f6\\u00f8-\\u00ff\\u0150\\u0170\\u0151\\u0171]\",\n\tblockPrefixLetters:\t\"[A-Za-z0-9-_\\u00c0-\\u00d6\\u00d8-\\u00de\\u00df-\\u00f6\\u00f8-\\u00ff\\u0150\\u0170\\u0151\\u0171]\"\n};\n\nexports.textPrimitives.unWikiLink = \"~\";\nexports.textPrimitives.wikiLink = exports.textPrimitives.upperLetter + \"+\" +\n\texports.textPrimitives.lowerLetter + \"+\" +\n\texports.textPrimitives.upperLetter +\n\texports.textPrimitives.anyLetter + \"*\";\n\nexports.htmlEntities = {quot:34, amp:38, apos:39, lt:60, gt:62, nbsp:160, iexcl:161, cent:162, pound:163, curren:164, yen:165, brvbar:166, sect:167, uml:168, copy:169, ordf:170, laquo:171, not:172, shy:173, reg:174, macr:175, deg:176, plusmn:177, sup2:178, sup3:179, acute:180, micro:181, para:182, middot:183, cedil:184, sup1:185, ordm:186, raquo:187, frac14:188, frac12:189, frac34:190, iquest:191, Agrave:192, Aacute:193, Acirc:194, Atilde:195, Auml:196, Aring:197, AElig:198, Ccedil:199, Egrave:200, Eacute:201, Ecirc:202, Euml:203, Igrave:204, Iacute:205, Icirc:206, Iuml:207, ETH:208, Ntilde:209, Ograve:210, Oacute:211, Ocirc:212, Otilde:213, Ouml:214, times:215, Oslash:216, Ugrave:217, Uacute:218, Ucirc:219, Uuml:220, Yacute:221, THORN:222, szlig:223, agrave:224, aacute:225, acirc:226, atilde:227, auml:228, aring:229, aelig:230, ccedil:231, egrave:232, eacute:233, ecirc:234, euml:235, igrave:236, iacute:237, icirc:238, iuml:239, eth:240, ntilde:241, ograve:242, oacute:243, ocirc:244, otilde:245, ouml:246, divide:247, oslash:248, ugrave:249, uacute:250, ucirc:251, uuml:252, yacute:253, thorn:254, yuml:255, OElig:338, oelig:339, Scaron:352, scaron:353, Yuml:376, fnof:402, circ:710, tilde:732, Alpha:913, Beta:914, Gamma:915, Delta:916, Epsilon:917, Zeta:918, Eta:919, Theta:920, Iota:921, Kappa:922, Lambda:923, Mu:924, Nu:925, Xi:926, Omicron:927, Pi:928, Rho:929, Sigma:931, Tau:932, Upsilon:933, Phi:934, Chi:935, Psi:936, Omega:937, alpha:945, beta:946, gamma:947, delta:948, epsilon:949, zeta:950, eta:951, theta:952, iota:953, kappa:954, lambda:955, mu:956, nu:957, xi:958, omicron:959, pi:960, rho:961, sigmaf:962, sigma:963, tau:964, upsilon:965, phi:966, chi:967, psi:968, omega:969, thetasym:977, upsih:978, piv:982, ensp:8194, emsp:8195, thinsp:8201, zwnj:8204, zwj:8205, lrm:8206, rlm:8207, ndash:8211, mdash:8212, lsquo:8216, rsquo:8217, sbquo:8218, ldquo:8220, rdquo:8221, bdquo:8222, dagger:8224, Dagger:8225, bull:8226, hellip:8230, permil:8240, prime:8242, Prime:8243, lsaquo:8249, rsaquo:8250, oline:8254, frasl:8260, euro:8364, image:8465, weierp:8472, real:8476, trade:8482, alefsym:8501, larr:8592, uarr:8593, rarr:8594, darr:8595, harr:8596, crarr:8629, lArr:8656, uArr:8657, rArr:8658, dArr:8659, hArr:8660, forall:8704, part:8706, exist:8707, empty:8709, nabla:8711, isin:8712, notin:8713, ni:8715, prod:8719, sum:8721, minus:8722, lowast:8727, radic:8730, prop:8733, infin:8734, ang:8736, and:8743, or:8744, cap:8745, cup:8746, int:8747, there4:8756, sim:8764, cong:8773, asymp:8776, ne:8800, equiv:8801, le:8804, ge:8805, sub:8834, sup:8835, nsub:8836, sube:8838, supe:8839, oplus:8853, otimes:8855, perp:8869, sdot:8901, lceil:8968, rceil:8969, lfloor:8970, rfloor:8971, lang:9001, rang:9002, loz:9674, spades:9824, clubs:9827, hearts:9829, diams:9830 };\n\nexports.htmlVoidElements = \"area,base,br,col,command,embed,hr,img,input,keygen,link,meta,param,source,track,wbr\".split(\",\");\n\nexports.htmlBlockElements = \"address,article,aside,audio,blockquote,canvas,dd,div,dl,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,hr,li,noscript,ol,output,p,pre,section,table,tfoot,ul,video\".split(\",\");\n\nexports.htmlUnsafeElements = \"script\".split(\",\");\n\n})();\n",
            "type": "application/javascript",
            "module-type": "config"
        },
        "$:/core/modules/deserializers.js": {
            "title": "$:/core/modules/deserializers.js",
            "text": "/*\\\ntitle: $:/core/modules/deserializers.js\ntype: application/javascript\nmodule-type: tiddlerdeserializer\n\nFunctions to deserialise tiddlers from a block of text\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nUtility function to parse an old-style tiddler DIV in a *.tid file. It looks like this:\n\n<div title=\"Title\" creator=\"JoeBloggs\" modifier=\"JoeBloggs\" created=\"201102111106\" modified=\"201102111310\" tags=\"myTag [[my long tag]]\">\n<pre>The text of the tiddler (without the expected HTML encoding).\n</pre>\n</div>\n\nNote that the field attributes are HTML encoded, but that the body of the <PRE> tag is not encoded.\n\nWhen these tiddler DIVs are encountered within a TiddlyWiki HTML file then the body is encoded in the usual way.\n*/\nvar parseTiddlerDiv = function(text /* [,fields] */) {\n\t// Slot together the default results\n\tvar result = {};\n\tif(arguments.length > 1) {\n\t\tfor(var f=1; f<arguments.length; f++) {\n\t\t\tvar fields = arguments[f];\n\t\t\tfor(var t in fields) {\n\t\t\t\tresult[t] = fields[t];\t\t\n\t\t\t}\n\t\t}\n\t}\n\t// Parse the DIV body\n\tvar startRegExp = /^\\s*<div\\s+([^>]*)>(\\s*<pre>)?/gi,\n\t\tendRegExp,\n\t\tmatch = startRegExp.exec(text);\n\tif(match) {\n\t\t// Old-style DIVs don't have the <pre> tag\n\t\tif(match[2]) {\n\t\t\tendRegExp = /<\\/pre>\\s*<\\/div>\\s*$/gi;\n\t\t} else {\n\t\t\tendRegExp = /<\\/div>\\s*$/gi;\n\t\t}\n\t\tvar endMatch = endRegExp.exec(text);\n\t\tif(endMatch) {\n\t\t\t// Extract the text\n\t\t\tresult.text = text.substring(match.index + match[0].length,endMatch.index);\n\t\t\t// Process the attributes\n\t\t\tvar attrRegExp = /\\s*([^=\\s]+)\\s*=\\s*(?:\"([^\"]*)\"|'([^']*)')/gi,\n\t\t\t\tattrMatch;\n\t\t\tdo {\n\t\t\t\tattrMatch = attrRegExp.exec(match[1]);\n\t\t\t\tif(attrMatch) {\n\t\t\t\t\tvar name = attrMatch[1];\n\t\t\t\t\tvar value = attrMatch[2] !== undefined ? attrMatch[2] : attrMatch[3];\n\t\t\t\t\tresult[name] = value;\n\t\t\t\t}\n\t\t\t} while(attrMatch);\n\t\t\treturn result;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports[\"application/x-tiddler-html-div\"] = function(text,fields) {\n\treturn [parseTiddlerDiv(text,fields)];\n};\n\nexports[\"application/json\"] = function(text,fields) {\n\tvar incoming,\n\t\tresults = [];\n\ttry {\n\t\tincoming = JSON.parse(text);\n\t} catch(e) {\n\t\tincoming = [{\n\t\t\ttitle: \"JSON error: \" + e,\n\t\t\ttext: \"\"\n\t\t}]\n\t}\n\tif(!$tw.utils.isArray(incoming)) {\n\t\tincoming = [incoming];\n\t}\n\tfor(var t=0; t<incoming.length; t++) {\n\t\tvar incomingFields = incoming[t],\n\t\t\tfields = {};\n\t\tfor(var f in incomingFields) {\n\t\t\tif(typeof incomingFields[f] === \"string\") {\n\t\t\t\tfields[f] = incomingFields[f];\n\t\t\t}\n\t\t}\n\t\tresults.push(fields);\n\t}\n\treturn results;\n};\n\n/*\nParse an HTML file into tiddlers. There are three possibilities:\n# A TiddlyWiki classic HTML file containing `text/x-tiddlywiki` tiddlers\n# A TiddlyWiki5 HTML file containing `text/vnd.tiddlywiki` tiddlers\n# An ordinary HTML file\n*/\nexports[\"text/html\"] = function(text,fields) {\n\t// Check if we've got a store area\n\tvar storeAreaMarkerRegExp = /<div id=[\"']?storeArea['\"]?( style=[\"']?display:none;[\"']?)?>/gi,\n\t\tmatch = storeAreaMarkerRegExp.exec(text);\n\tif(match) {\n\t\t// If so, it's either a classic TiddlyWiki file or an unencrypted TW5 file\n\t\t// First read the normal tiddlers\n\t\tvar results = deserializeTiddlyWikiFile(text,storeAreaMarkerRegExp.lastIndex,!!match[1],fields);\n\t\t// Then any system tiddlers\n\t\tvar systemAreaMarkerRegExp = /<div id=[\"']?systemArea['\"]?( style=[\"']?display:none;[\"']?)?>/gi,\n\t\t\tsysMatch = systemAreaMarkerRegExp.exec(text);\n\t\tif(sysMatch) {\n\t\t\tresults.push.apply(results,deserializeTiddlyWikiFile(text,systemAreaMarkerRegExp.lastIndex,!!sysMatch[1],fields));\n\t\t}\n\t\treturn results;\n\t} else {\n\t\t// Check whether we've got an encrypted file\n\t\tvar encryptedStoreArea = $tw.utils.extractEncryptedStoreArea(text);\n\t\tif(encryptedStoreArea) {\n\t\t\t// If so, attempt to decrypt it using the current password\n\t\t\treturn $tw.utils.decryptStoreArea(encryptedStoreArea);\n\t\t} else {\n\t\t\t// It's not a TiddlyWiki so we'll return the entire HTML file as a tiddler\n\t\t\treturn deserializeHtmlFile(text,fields);\n\t\t}\n\t}\n};\n\nfunction deserializeHtmlFile(text,fields) {\n\tvar result = {};\n\t$tw.utils.each(fields,function(value,name) {\n\t\tresult[name] = value;\n\t});\n\tresult.text = text;\n\tresult.type = \"text/html\";\n\treturn [result];\n}\n\nfunction deserializeTiddlyWikiFile(text,storeAreaEnd,isTiddlyWiki5,fields) {\n\tvar results = [],\n\t\tendOfDivRegExp = /(<\\/div>\\s*)/gi,\n\t\tstartPos = storeAreaEnd,\n\t\tdefaultType = isTiddlyWiki5 ? undefined : \"text/x-tiddlywiki\";\n\tendOfDivRegExp.lastIndex = startPos;\n\tvar match = endOfDivRegExp.exec(text);\n\twhile(match) {\n\t\tvar endPos = endOfDivRegExp.lastIndex,\n\t\t\ttiddlerFields = parseTiddlerDiv(text.substring(startPos,endPos),fields,{type: defaultType});\n\t\tif(!tiddlerFields) {\n\t\t\tbreak;\n\t\t}\n\t\t$tw.utils.each(tiddlerFields,function(value,name) {\n\t\t\tif(typeof value === \"string\") {\n\t\t\t\ttiddlerFields[name] = $tw.utils.htmlDecode(value);\n\t\t\t}\n\t\t});\n\t\tif(tiddlerFields.text !== null) {\n\t\t\tresults.push(tiddlerFields);\n\t\t}\n\t\tstartPos = endPos;\n\t\tmatch = endOfDivRegExp.exec(text);\n\t}\n\treturn results;\n}\n\n})();\n",
            "type": "application/javascript",
            "module-type": "tiddlerdeserializer"
        },
        "$:/core/modules/editor/engines/framed.js": {
            "title": "$:/core/modules/editor/engines/framed.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/engines/framed.js\ntype: application/javascript\nmodule-type: library\n\nText editor engine based on a simple input or textarea within an iframe. This is done so that the selection is preserved even when clicking away from the textarea\n\n\\*/\n(function(){\n\n/*jslint node: true,browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\nfunction FramedEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\t// Create our hidden dummy text area for reading styles\n\tthis.dummyTextArea = this.widget.document.createElement(\"textarea\");\n\tif(this.widget.editClass) {\n\t\tthis.dummyTextArea.className = this.widget.editClass;\n\t}\n\tthis.dummyTextArea.setAttribute(\"hidden\",\"true\");\n\tthis.parentNode.insertBefore(this.dummyTextArea,this.nextSibling);\n\tthis.widget.domNodes.push(this.dummyTextArea);\n\t// Create the iframe\n\tthis.iframeNode = this.widget.document.createElement(\"iframe\");\n\tthis.parentNode.insertBefore(this.iframeNode,this.nextSibling);\n\tthis.iframeDoc = this.iframeNode.contentWindow.document;\n\t// (Firefox requires us to put some empty content in the iframe)\n\tthis.iframeDoc.open();\n\tthis.iframeDoc.write(\"\");\n\tthis.iframeDoc.close();\n\t// Style the iframe\n\tthis.iframeNode.className = this.dummyTextArea.className;\n\tthis.iframeNode.style.border = \"none\";\n\tthis.iframeNode.style.padding = \"0\";\n\tthis.iframeNode.style.resize = \"none\";\n\tthis.iframeDoc.body.style.margin = \"0\";\n\tthis.iframeDoc.body.style.padding = \"0\";\n\tthis.widget.domNodes.push(this.iframeNode);\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.iframeDoc.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.iframeDoc.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\tif(this.widget.editTabIndex) {\n\t\tthis.iframeNode.setAttribute(\"tabindex\",this.widget.editTabIndex);\n\t}\n\tif(this.widget.editAutoComplete) {\n\t\tthis.domNode.setAttribute(\"autocomplete\",this.widget.editAutoComplete);\n\t}\n\tif(this.widget.isDisabled === \"yes\") {\n\t\tthis.domNode.setAttribute(\"disabled\",true);\n\t}\t\n\t// Copy the styles from the dummy textarea\n\tthis.copyStyles();\n\t// Add event listeners\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"click\",handlerObject: this,handlerMethod: \"handleClickEvent\"},\n\t\t{name: \"input\",handlerObject: this,handlerMethod: \"handleInputEvent\"},\n\t\t{name: \"keydown\",handlerObject: this.widget,handlerMethod: \"handleKeydownEvent\"},\n\t\t{name: \"focus\",handlerObject: this,handlerMethod: \"handleFocusEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.iframeDoc.body.appendChild(this.domNode);\n}\n\n/*\nCopy styles from the dummy text area to the textarea in the iframe\n*/\nFramedEngine.prototype.copyStyles = function() {\n\t// Copy all styles\n\t$tw.utils.copyStyles(this.dummyTextArea,this.domNode);\n\t// Override the ones that should not be set the same as the dummy textarea\n\tthis.domNode.style.display = \"block\";\n\tthis.domNode.style.width = \"100%\";\n\tthis.domNode.style.margin = \"0\";\n\t// In Chrome setting -webkit-text-fill-color overrides the placeholder text colour\n\tthis.domNode.style[\"-webkit-text-fill-color\"] = \"currentcolor\";\n};\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nFramedEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode) {\n\t\t\tthis.updateDomNodeText(text);\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nUpdate the DomNode with the new text\n*/\nFramedEngine.prototype.updateDomNodeText = function(text) {\n\tthis.domNode.value = text;\n};\n\n/*\nGet the text of the engine\n*/\nFramedEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nFramedEngine.prototype.fixHeight = function() {\n\t// Make sure styles are updated\n\tthis.copyStyles();\n\t// Adjust height\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\tvar newHeight = $tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t\tthis.iframeNode.style.height = (newHeight + 14) + \"px\"; // +14 for the border on the textarea\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t\tthis.iframeNode.style.height = (fixedHeight + 14) + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nFramedEngine.prototype.focus  = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a focus event\n*/\nFramedEngine.prototype.handleFocusEvent = function(event) {\n\tif(this.widget.editCancelPopups) {\n\t\t$tw.popup.cancel(0);\t\n\t}\n};\n\n/*\nHandle a click\n*/\nFramedEngine.prototype.handleClickEvent = function(event) {\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nFramedEngine.prototype.handleInputEvent = function(event) {\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\tif(this.widget.editInputActions) {\n\t\tthis.widget.invokeActionString(this.widget.editInputActions);\n\t}\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nFramedEngine.prototype.createTextOperation = function() {\n\tvar operation = {\n\t\ttext: this.domNode.value,\n\t\tselStart: this.domNode.selectionStart,\n\t\tselEnd: this.domNode.selectionEnd,\n\t\tcutStart: null,\n\t\tcutEnd: null,\n\t\treplacement: null,\n\t\tnewSelStart: null,\n\t\tnewSelEnd: null\n\t};\n\toperation.selection = operation.text.substring(operation.selStart,operation.selEnd);\n\treturn operation;\n};\n\n/*\nExecute a text operation\n*/\nFramedEngine.prototype.executeTextOperation = function(operation) {\n\t// Perform the required changes to the text area and the underlying tiddler\n\tvar newText = operation.text;\n\tif(operation.replacement !== null) {\n\t\tnewText = operation.text.substring(0,operation.cutStart) + operation.replacement + operation.text.substring(operation.cutEnd);\n\t\t// Attempt to use a execCommand to modify the value of the control\n\t\tif(this.iframeDoc.queryCommandSupported(\"insertText\") && this.iframeDoc.queryCommandSupported(\"delete\") && !$tw.browser.isFirefox) {\n\t\t\tthis.domNode.focus();\n\t\t\tthis.domNode.setSelectionRange(operation.cutStart,operation.cutEnd);\n\t\t\tif(operation.replacement === \"\") {\n\t\t\t\tthis.iframeDoc.execCommand(\"delete\",false,\"\");\n\t\t\t} else {\n\t\t\t\tthis.iframeDoc.execCommand(\"insertText\",false,operation.replacement);\n\t\t\t}\n\t\t} else {\n\t\t\tthis.domNode.value = newText;\n\t\t}\n\t\tthis.domNode.focus();\n\t\tthis.domNode.setSelectionRange(operation.newSelStart,operation.newSelEnd);\n\t}\n\tthis.domNode.focus();\n\treturn newText;\n};\n\nexports.FramedEngine = FramedEngine;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/core/modules/editor/engines/simple.js": {
            "title": "$:/core/modules/editor/engines/simple.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/engines/simple.js\ntype: application/javascript\nmodule-type: library\n\nText editor engine based on a simple input or textarea tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\nfunction SimpleEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.widget.document.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.widget.document.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\tif(this.widget.editClass) {\n\t\tthis.domNode.className = this.widget.editClass;\n\t}\n\tif(this.widget.editTabIndex) {\n\t\tthis.domNode.setAttribute(\"tabindex\",this.widget.editTabIndex);\n\t}\n\tif(this.widget.editAutoComplete) {\n\t\tthis.domNode.setAttribute(\"autocomplete\",this.widget.editAutoComplete);\n\t}\n\tif(this.widget.isDisabled === \"yes\") {\n\t\tthis.domNode.setAttribute(\"disabled\",true);\n\t}\n\t// Add an input event handler\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"focus\", handlerObject: this, handlerMethod: \"handleFocusEvent\"},\n\t\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInputEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.parentNode.insertBefore(this.domNode,this.nextSibling);\n\tthis.widget.domNodes.push(this.domNode);\n}\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nSimpleEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode || text === \"\") {\n\t\t\tthis.updateDomNodeText(text);\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nUpdate the DomNode with the new text\n*/\nSimpleEngine.prototype.updateDomNodeText = function(text) {\n\tthis.domNode.value = text;\n};\n\n/*\nGet the text of the engine\n*/\nSimpleEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nSimpleEngine.prototype.fixHeight = function() {\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\t$tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nSimpleEngine.prototype.focus  = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nSimpleEngine.prototype.handleInputEvent = function(event) {\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\tif(this.widget.editInputActions) {\n\t\tthis.widget.invokeActionString(this.widget.editInputActions);\n\t}\n\treturn true;\n};\n\n/*\nHandle a dom \"focus\" event\n*/\nSimpleEngine.prototype.handleFocusEvent = function(event) {\n\tif(this.widget.editCancelPopups) {\n\t\t$tw.popup.cancel(0);\n\t}\n\tif(this.widget.editFocusPopup) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNode,\n\t\t\ttitle: this.widget.editFocusPopup,\n\t\t\twiki: this.widget.wiki,\n\t\t\tforce: true\n\t\t});\n\t}\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nSimpleEngine.prototype.createTextOperation = function() {\n\treturn null;\n};\n\n/*\nExecute a text operation\n*/\nSimpleEngine.prototype.executeTextOperation = function(operation) {\n};\n\nexports.SimpleEngine = SimpleEngine;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/core/modules/editor/factory.js": {
            "title": "$:/core/modules/editor/factory.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/factory.js\ntype: application/javascript\nmodule-type: library\n\nFactory for constructing text editor widgets with specified engines for the toolbar and non-toolbar cases\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DEFAULT_MIN_TEXT_AREA_HEIGHT = \"100px\"; // Minimum height of textareas in pixels\n\n// Configuration tiddlers\nvar HEIGHT_MODE_TITLE = \"$:/config/TextEditor/EditorHeight/Mode\";\nvar ENABLE_TOOLBAR_TITLE = \"$:/config/TextEditor/EnableToolbar\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nfunction editTextWidgetFactory(toolbarEngine,nonToolbarEngine) {\n\n\tvar EditTextWidget = function(parseTreeNode,options) {\n\t\t// Initialise the editor operations if they've not been done already\n\t\tif(!this.editorOperations) {\n\t\t\tEditTextWidget.prototype.editorOperations = {};\n\t\t\t$tw.modules.applyMethods(\"texteditoroperation\",this.editorOperations);\n\t\t}\n\t\tthis.initialise(parseTreeNode,options);\n\t};\n\n\t/*\n\tInherit from the base widget class\n\t*/\n\tEditTextWidget.prototype = new Widget();\n\n\t/*\n\tRender this widget into the DOM\n\t*/\n\tEditTextWidget.prototype.render = function(parent,nextSibling) {\n\t\t// Save the parent dom node\n\t\tthis.parentDomNode = parent;\n\t\t// Compute our attributes\n\t\tthis.computeAttributes();\n\t\t// Execute our logic\n\t\tthis.execute();\n\t\t// Create the wrapper for the toolbar and render its content\n\t\tif(this.editShowToolbar) {\n\t\t\tthis.toolbarNode = this.document.createElement(\"div\");\n\t\t\tthis.toolbarNode.className = \"tc-editor-toolbar\";\n\t\t\tparent.insertBefore(this.toolbarNode,nextSibling);\n\t\t\tthis.renderChildren(this.toolbarNode,null);\n\t\t\tthis.domNodes.push(this.toolbarNode);\n\t\t}\n\t\t// Create our element\n\t\tvar editInfo = this.getEditInfo(),\n\t\t\tEngine = this.editShowToolbar ? toolbarEngine : nonToolbarEngine;\n\t\tthis.engine = new Engine({\n\t\t\t\twidget: this,\n\t\t\t\tvalue: editInfo.value,\n\t\t\t\ttype: editInfo.type,\n\t\t\t\tparentNode: parent,\n\t\t\t\tnextSibling: nextSibling\n\t\t\t});\n\t\t// Call the postRender hook\n\t\tif(this.postRender) {\n\t\t\tthis.postRender();\n\t\t}\n\t\t// Fix height\n\t\tthis.engine.fixHeight();\n\t\t// Focus if required\n\t\tif(this.editFocus === \"true\" || this.editFocus === \"yes\") {\n\t\t\tthis.engine.focus();\n\t\t}\n\t\t// Add widget message listeners\n\t\tthis.addEventListeners([\n\t\t\t{type: \"tm-edit-text-operation\", handler: \"handleEditTextOperationMessage\"}\n\t\t]);\n\t};\n\n\t/*\n\tGet the tiddler being edited and current value\n\t*/\n\tEditTextWidget.prototype.getEditInfo = function() {\n\t\t// Get the edit value\n\t\tvar self = this,\n\t\t\tvalue,\n\t\t\ttype = \"text/plain\",\n\t\t\tupdate;\n\t\tif(this.editIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(this.editTitle,this.editIndex,this.editDefault);\n\t\t\tupdate = function(value) {\n\t\t\t\tvar data = self.wiki.getTiddlerData(self.editTitle,{});\n\t\t\t\tif(data[self.editIndex] !== value) {\n\t\t\t\t\tdata[self.editIndex] = value;\n\t\t\t\t\tself.wiki.setTiddlerData(self.editTitle,data);\n\t\t\t\t}\n\t\t\t};\n\t\t} else {\n\t\t\t// Get the current tiddler and the field name\n\t\t\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\t\t\tif(tiddler) {\n\t\t\t\t// If we've got a tiddler, the value to display is the field string value\n\t\t\t\tvalue = tiddler.getFieldString(this.editField);\n\t\t\t\tif(this.editField === \"text\") {\n\t\t\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\";\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// Otherwise, we need to construct a default value for the editor\n\t\t\t\tswitch(this.editField) {\n\t\t\t\t\tcase \"text\":\n\t\t\t\t\t\tvalue = \"Type the text for the tiddler '\" + this.editTitle + \"'\";\n\t\t\t\t\t\ttype = \"text/vnd.tiddlywiki\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"title\":\n\t\t\t\t\t\tvalue = this.editTitle;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tvalue = \"\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tif(this.editDefault !== undefined) {\n\t\t\t\t\tvalue = this.editDefault;\n\t\t\t\t}\n\t\t\t}\n\t\t\tupdate = function(value) {\n\t\t\t\tvar tiddler = self.wiki.getTiddler(self.editTitle),\n\t\t\t\t\tupdateFields = {\n\t\t\t\t\t\ttitle: self.editTitle\n\t\t\t\t\t};\n\t\t\t\tupdateFields[self.editField] = value;\n\t\t\t\tself.wiki.addTiddler(new $tw.Tiddler(self.wiki.getCreationFields(),tiddler,updateFields,self.wiki.getModificationFields()));\n\t\t\t};\n\t\t}\n\t\tif(this.editType) {\n\t\t\ttype = this.editType;\n\t\t}\n\t\treturn {value: value || \"\", type: type, update: update};\n\t};\n\n\t/*\n\tHandle an edit text operation message from the toolbar\n\t*/\n\tEditTextWidget.prototype.handleEditTextOperationMessage = function(event) {\n\t\t// Prepare information about the operation\n\t\tvar operation = this.engine.createTextOperation();\n\t\t// Invoke the handler for the selected operation\n\t\tvar handler = this.editorOperations[event.param];\n\t\tif(handler) {\n\t\t\thandler.call(this,event,operation);\n\t\t}\n\t\t// Execute the operation via the engine\n\t\tvar newText = this.engine.executeTextOperation(operation);\n\t\t// Fix the tiddler height and save changes\n\t\tthis.engine.fixHeight();\n\t\tthis.saveChanges(newText);\n\t};\n\n\t/*\n\tCompute the internal state of the widget\n\t*/\n\tEditTextWidget.prototype.execute = function() {\n\t\t// Get our parameters\n\t\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t\tthis.editField = this.getAttribute(\"field\",\"text\");\n\t\tthis.editIndex = this.getAttribute(\"index\");\n\t\tthis.editDefault = this.getAttribute(\"default\");\n\t\tthis.editClass = this.getAttribute(\"class\");\n\t\tthis.editPlaceholder = this.getAttribute(\"placeholder\");\n\t\tthis.editSize = this.getAttribute(\"size\");\n\t\tthis.editRows = this.getAttribute(\"rows\");\n\t\tthis.editAutoHeight = this.wiki.getTiddlerText(HEIGHT_MODE_TITLE,\"auto\");\n\t\tthis.editAutoHeight = this.getAttribute(\"autoHeight\",this.editAutoHeight === \"auto\" ? \"yes\" : \"no\") === \"yes\";\n\t\tthis.editMinHeight = this.getAttribute(\"minHeight\",DEFAULT_MIN_TEXT_AREA_HEIGHT);\n\t\tthis.editFocusPopup = this.getAttribute(\"focusPopup\");\n\t\tthis.editFocus = this.getAttribute(\"focus\");\n\t\tthis.editTabIndex = this.getAttribute(\"tabindex\");\n\t\tthis.editCancelPopups = this.getAttribute(\"cancelPopups\",\"\") === \"yes\";\n\t\tthis.editInputActions = this.getAttribute(\"inputActions\");\n\t\tthis.editRefreshTitle = this.getAttribute(\"refreshTitle\");\n\t\tthis.editAutoComplete = this.getAttribute(\"autocomplete\");\n\t\tthis.isDisabled = this.getAttribute(\"disabled\",\"no\");\n\t\t// Get the default editor element tag and type\n\t\tvar tag,type;\n\t\tif(this.editField === \"text\") {\n\t\t\ttag = \"textarea\";\n\t\t} else {\n\t\t\ttag = \"input\";\n\t\t\tvar fieldModule = $tw.Tiddler.fieldModules[this.editField];\n\t\t\tif(fieldModule && fieldModule.editTag) {\n\t\t\t\ttag = fieldModule.editTag;\n\t\t\t}\n\t\t\tif(fieldModule && fieldModule.editType) {\n\t\t\t\ttype = fieldModule.editType;\n\t\t\t}\n\t\t\ttype = type || \"text\";\n\t\t}\n\t\t// Get the rest of our parameters\n\t\tthis.editTag = this.getAttribute(\"tag\",tag) || \"input\";\n\t\tthis.editType = this.getAttribute(\"type\",type);\n\t\t// Make the child widgets\n\t\tthis.makeChildWidgets();\n\t\t// Determine whether to show the toolbar\n\t\tthis.editShowToolbar = this.wiki.getTiddlerText(ENABLE_TOOLBAR_TITLE,\"yes\");\n\t\tthis.editShowToolbar = (this.editShowToolbar === \"yes\") && !!(this.children && this.children.length > 0) && (!this.document.isTiddlyWikiFakeDom);\n\t};\n\n\t/*\n\tSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n\t*/\n\tEditTextWidget.prototype.refresh = function(changedTiddlers) {\n\t\tvar changedAttributes = this.computeAttributes();\n\t\t// Completely rerender if any of our attributes have changed\n\t\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes[\"default\"] || changedAttributes[\"class\"] || changedAttributes.placeholder || changedAttributes.size || changedAttributes.autoHeight || changedAttributes.minHeight || changedAttributes.focusPopup ||  changedAttributes.rows || changedAttributes.tabindex || changedAttributes.cancelPopups || changedAttributes.inputActions || changedAttributes.refreshTitle || changedAttributes.autocomplete || changedTiddlers[HEIGHT_MODE_TITLE] || changedTiddlers[ENABLE_TOOLBAR_TITLE] || changedAttributes.disabled) {\n\t\t\tthis.refreshSelf();\n\t\t\treturn true;\n\t\t} else if (changedTiddlers[this.editRefreshTitle]) {\n\t\t\tthis.engine.updateDomNodeText(this.getEditInfo().value);\n\t\t} else if(changedTiddlers[this.editTitle]) {\n\t\t\tvar editInfo = this.getEditInfo();\n\t\t\tthis.updateEditor(editInfo.value,editInfo.type);\n\t\t}\n\t\tthis.engine.fixHeight();\n\t\tif(this.editShowToolbar) {\n\t\t\treturn this.refreshChildren(changedTiddlers);\n\t\t} else {\n\t\t\treturn false;\n\t\t}\n\t};\n\n\t/*\n\tUpdate the editor with new text. This method is separate from updateEditorDomNode()\n\tso that subclasses can override updateEditor() and still use updateEditorDomNode()\n\t*/\n\tEditTextWidget.prototype.updateEditor = function(text,type) {\n\t\tthis.updateEditorDomNode(text,type);\n\t};\n\n\t/*\n\tUpdate the editor dom node with new text\n\t*/\n\tEditTextWidget.prototype.updateEditorDomNode = function(text,type) {\n\t\tthis.engine.setText(text,type);\n\t};\n\n\t/*\n\tSave changes back to the tiddler store\n\t*/\n\tEditTextWidget.prototype.saveChanges = function(text) {\n\t\tvar editInfo = this.getEditInfo();\n\t\tif(text !== editInfo.value) {\n\t\t\teditInfo.update(text);\n\t\t}\n\t};\n\n\t/*\n\tHandle a dom \"keydown\" event, which we'll bubble up to our container for the keyboard widgets benefit\n\t*/\n\tEditTextWidget.prototype.handleKeydownEvent = function(event) {\n\t\t// Check for a keyboard shortcut\n\t\tif(this.toolbarNode) {\n\t\t\tvar shortcutElements = this.toolbarNode.querySelectorAll(\"[data-tw-keyboard-shortcut]\");\n\t\t\tfor(var index=0; index<shortcutElements.length; index++) {\n\t\t\t\tvar el = shortcutElements[index],\n\t\t\t\t\tshortcutData = el.getAttribute(\"data-tw-keyboard-shortcut\"),\n\t\t\t\t\tkeyInfoArray = $tw.keyboardManager.parseKeyDescriptors(shortcutData,{\n\t\t\t\t\t\twiki: this.wiki\n\t\t\t\t\t});\n\t\t\t\tif($tw.keyboardManager.checkKeyDescriptors(event,keyInfoArray)) {\n\t\t\t\t\tvar clickEvent = this.document.createEvent(\"Events\");\n\t\t\t\t    clickEvent.initEvent(\"click\",true,false);\n\t\t\t\t    el.dispatchEvent(clickEvent);\n\t\t\t\t\tevent.preventDefault();\n\t\t\t\t\tevent.stopPropagation();\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t// Propogate the event to the container\n\t\tif(this.propogateKeydownEvent(event)) {\n\t\t\t// Ignore the keydown if it was already handled\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t\treturn true;\n\t\t}\n\t\t// Otherwise, process the keydown normally\n\t\treturn false;\n\t};\n\n\t/*\n\tPropogate keydown events to our container for the keyboard widgets benefit\n\t*/\n\tEditTextWidget.prototype.propogateKeydownEvent = function(event) {\n\t\tvar newEvent = this.document.createEventObject ? this.document.createEventObject() : this.document.createEvent(\"Events\");\n\t\tif(newEvent.initEvent) {\n\t\t\tnewEvent.initEvent(\"keydown\", true, true);\n\t\t}\n\t\tnewEvent.keyCode = event.keyCode;\n\t\tnewEvent.which = event.which;\n\t\tnewEvent.metaKey = event.metaKey;\n\t\tnewEvent.ctrlKey = event.ctrlKey;\n\t\tnewEvent.altKey = event.altKey;\n\t\tnewEvent.shiftKey = event.shiftKey;\n\t\treturn !this.parentDomNode.dispatchEvent(newEvent);\n\t};\n\n\treturn EditTextWidget;\n\n}\n\nexports.editTextWidgetFactory = editTextWidgetFactory;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/core/modules/editor/operations/bitmap/clear.js": {
            "title": "$:/core/modules/editor/operations/bitmap/clear.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/clear.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to clear the image\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"clear\"] = function(event) {\n\tvar ctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.globalAlpha = 1;\n\tctx.fillStyle = event.paramObject.colour || \"white\";\n\tctx.fillRect(0,0,this.canvasDomNode.width,this.canvasDomNode.height);\n\t// Save changes\n\tthis.strokeEnd();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "bitmapeditoroperation"
        },
        "$:/core/modules/editor/operations/bitmap/resize.js": {
            "title": "$:/core/modules/editor/operations/bitmap/resize.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/resize.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to resize the image\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"resize\"] = function(event) {\n\t// Get the new width\n\tvar newWidth = parseInt(event.paramObject.width || this.canvasDomNode.width,10),\n\t\tnewHeight = parseInt(event.paramObject.height || this.canvasDomNode.height,10);\n\t// Update if necessary\n\tif(newWidth > 0 && newHeight > 0 && !(newWidth === this.currCanvas.width && newHeight === this.currCanvas.height)) {\n\t\tthis.changeCanvasSize(newWidth,newHeight);\n\t}\n\t// Update the input controls\n\tthis.refreshToolbar();\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "bitmapeditoroperation"
        },
        "$:/core/modules/editor/operations/bitmap/rotate-left.js": {
            "title": "$:/core/modules/editor/operations/bitmap/rotate-left.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/rotate-left.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to rotate the image left by 90 degrees\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"rotate-left\"] = function(event) {\n\t// Rotate the canvas left by 90 degrees\n\tthis.rotateCanvasLeft();\n\t// Update the input controls\n\tthis.refreshToolbar();\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "bitmapeditoroperation"
        },
        "$:/core/modules/editor/operations/text/excise.js": {
            "title": "$:/core/modules/editor/operations/text/excise.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/text/excise.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to excise the selection to a new tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"excise\"] = function(event,operation) {\n\tvar editTiddler = this.wiki.getTiddler(this.editTitle),\n\t\teditTiddlerTitle = this.editTitle;\n\tif(editTiddler && editTiddler.fields[\"draft.of\"]) {\n\t\teditTiddlerTitle = editTiddler.fields[\"draft.of\"];\n\t}\n\tvar excisionTitle = event.paramObject.title || this.wiki.generateNewTitle(\"New Excision\");\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\tthis.wiki.getCreationFields(),\n\t\tthis.wiki.getModificationFields(),\n\t\t{\n\t\t\ttitle: excisionTitle,\n\t\t\ttext: operation.selection,\n\t\t\ttags: event.paramObject.tagnew === \"yes\" ?  [editTiddlerTitle] : []\n\t\t}\n\t));\n\toperation.replacement = excisionTitle;\n\tswitch(event.paramObject.type || \"transclude\") {\n\t\tcase \"transclude\":\n\t\t\toperation.replacement = \"{{\" + operation.replacement+ \"}}\";\n\t\t\tbreak;\n\t\tcase \"link\":\n\t\t\toperation.replacement = \"[[\" + operation.replacement+ \"]]\";\n\t\t\tbreak;\n\t\tcase \"macro\":\n\t\t\toperation.replacement = \"<<\" + (event.paramObject.macro || \"translink\") + \" \\\"\\\"\\\"\" + operation.replacement + \"\\\"\\\"\\\">>\";\n\t\t\tbreak;\n\t}\n\toperation.cutStart = operation.selStart;\n\toperation.cutEnd = operation.selEnd;\n\toperation.newSelStart = operation.selStart;\n\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "texteditoroperation"
        },
        "$:/core/modules/editor/operations/text/make-link.js": {
            "title": "$:/core/modules/editor/operations/text/make-link.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/text/make-link.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to make a link\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"make-link\"] = function(event,operation) {\n\tif(operation.selection) {\n\t\toperation.replacement = \"[[\" + operation.selection + \"|\" + event.paramObject.text + \"]]\";\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t} else {\n\t\toperation.replacement = \"[[\" + event.paramObject.text + \"]]\";\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t}\n\toperation.newSelStart = operation.selStart + operation.replacement.length;\n\toperation.newSelEnd = operation.newSelStart;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "texteditoroperation"
        },
        "$:/core/modules/editor/operations/text/prefix-lines.js": {
            "title": "$:/core/modules/editor/operations/text/prefix-lines.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/text/prefix-lines.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to add a prefix to the selected lines\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"prefix-lines\"] = function(event,operation) {\n\tvar targetCount = parseInt(event.paramObject.count + \"\",10);\n\t// Cut just past the preceding line break, or the start of the text\n\toperation.cutStart = $tw.utils.findPrecedingLineBreak(operation.text,operation.selStart);\n\t// Cut to just past the following line break, or to the end of the text\n\toperation.cutEnd = $tw.utils.findFollowingLineBreak(operation.text,operation.selEnd);\n\t// Compose the required prefix\n\tvar prefix = $tw.utils.repeat(event.paramObject.character,targetCount);\n\t// Process each line\n\tvar lines = operation.text.substring(operation.cutStart,operation.cutEnd).split(/\\r?\\n/mg);\n\t$tw.utils.each(lines,function(line,index) {\n\t\t// Remove and count any existing prefix characters\n\t\tvar count = 0;\n\t\twhile(line.charAt(0) === event.paramObject.character) {\n\t\t\tline = line.substring(1);\n\t\t\tcount++;\n\t\t}\n\t\t// Remove any whitespace\n\t\twhile(line.charAt(0) === \" \") {\n\t\t\tline = line.substring(1);\n\t\t}\n\t\t// We're done if we removed the exact required prefix, otherwise add it\n\t\tif(count !== targetCount) {\n\t\t\t// Apply the prefix\n\t\t\tline =  prefix + \" \" + line;\n\t\t}\n\t\t// Save the modified line\n\t\tlines[index] = line;\n\t});\n\t// Stitch the replacement text together and set the selection\n\toperation.replacement = lines.join(\"\\n\");\n\tif(lines.length === 1) {\n\t\toperation.newSelStart = operation.cutStart + operation.replacement.length;\n\t\toperation.newSelEnd = operation.newSelStart;\n\t} else {\n\t\toperation.newSelStart = operation.cutStart;\n\t\toperation.newSelEnd = operation.newSelStart + operation.replacement.length;\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "texteditoroperation"
        },
        "$:/core/modules/editor/operations/text/replace-all.js": {
            "title": "$:/core/modules/editor/operations/text/replace-all.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/text/replace-all.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to replace the entire text\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"replace-all\"] = function(event,operation) {\n\toperation.cutStart = 0;\n\toperation.cutEnd = operation.text.length;\n\toperation.replacement = event.paramObject.text;\n\toperation.newSelStart = 0;\n\toperation.newSelEnd = operation.replacement.length;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "texteditoroperation"
        },
        "$:/core/modules/editor/operations/text/replace-selection.js": {
            "title": "$:/core/modules/editor/operations/text/replace-selection.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/text/replace-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to replace the selection\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"replace-selection\"] = function(event,operation) {\n\toperation.replacement = event.paramObject.text;\n\toperation.cutStart = operation.selStart;\n\toperation.cutEnd = operation.selEnd;\n\toperation.newSelStart = operation.selStart;\n\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "texteditoroperation"
        },
        "$:/core/modules/editor/operations/text/save-selection.js": {
            "title": "$:/core/modules/editor/operations/text/save-selection.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/text/save-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to save the current selection in a specified tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"save-selection\"] = function(event,operation) {\n\tvar tiddler = event.paramObject.tiddler,\n\t\tfield = event.paramObject.field || \"text\";\n\tif(tiddler && field) {\n\t\tthis.wiki.setText(tiddler,field,null,operation.text.substring(operation.selStart,operation.selEnd));\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "texteditoroperation"
        },
        "$:/core/modules/editor/operations/text/wrap-lines.js": {
            "title": "$:/core/modules/editor/operations/text/wrap-lines.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/text/wrap-lines.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to wrap the selected lines with a prefix and suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"wrap-lines\"] = function(event,operation) {\n\t// Cut just past the preceding line break, or the start of the text\n\toperation.cutStart = $tw.utils.findPrecedingLineBreak(operation.text,operation.selStart);\n\t// Cut to just past the following line break, or to the end of the text\n\toperation.cutEnd = $tw.utils.findFollowingLineBreak(operation.text,operation.selEnd);\n\t// Add the prefix and suffix\n\toperation.replacement = event.paramObject.prefix + \"\\n\" +\n\t\t\t\toperation.text.substring(operation.cutStart,operation.cutEnd) + \"\\n\" +\n\t\t\t\tevent.paramObject.suffix + \"\\n\";\n\toperation.newSelStart = operation.cutStart + event.paramObject.prefix.length + 1;\n\toperation.newSelEnd = operation.newSelStart + (operation.cutEnd - operation.cutStart);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "texteditoroperation"
        },
        "$:/core/modules/editor/operations/text/wrap-selection.js": {
            "title": "$:/core/modules/editor/operations/text/wrap-selection.js",
            "text": "/*\\\ntitle: $:/core/modules/editor/operations/text/wrap-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to wrap the selection with the specified prefix and suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"wrap-selection\"] = function(event,operation) {\n\tif(operation.selStart === operation.selEnd) {\n\t\t// No selection; check if we're within the prefix/suffix\n\t\tif(operation.text.substring(operation.selStart - event.paramObject.prefix.length,operation.selStart + event.paramObject.suffix.length) === event.paramObject.prefix + event.paramObject.suffix) {\n\t\t\t// Remove the prefix and suffix\n\t\t\toperation.cutStart = operation.selStart - event.paramObject.prefix.length;\n\t\t\toperation.cutEnd = operation.selEnd + event.paramObject.suffix.length;\n\t\t\toperation.replacement = \"\";\n\t\t\toperation.newSelStart = operation.cutStart;\n\t\t\toperation.newSelEnd = operation.newSelStart;\n\t\t} else {\n\t\t\t// Wrap the cursor instead\n\t\t\toperation.cutStart = operation.selStart;\n\t\t\toperation.cutEnd = operation.selEnd;\n\t\t\toperation.replacement = event.paramObject.prefix + event.paramObject.suffix;\n\t\t\toperation.newSelStart = operation.selStart + event.paramObject.prefix.length;\n\t\t\toperation.newSelEnd = operation.newSelStart;\n\t\t}\n\t} else if(operation.text.substring(operation.selStart,operation.selStart + event.paramObject.prefix.length) === event.paramObject.prefix && operation.text.substring(operation.selEnd - event.paramObject.suffix.length,operation.selEnd) === event.paramObject.suffix) {\n\t\t// Prefix and suffix are already present, so remove them\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t\toperation.replacement = operation.selection.substring(event.paramObject.prefix.length,operation.selection.length - event.paramObject.suffix.length);\n\t\toperation.newSelStart = operation.selStart;\n\t\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n\t} else {\n\t\t// Add the prefix and suffix\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t\toperation.replacement = event.paramObject.prefix + operation.selection + event.paramObject.suffix;\n\t\toperation.newSelStart = operation.selStart;\n\t\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "texteditoroperation"
        },
        "$:/core/modules/filterrunprefixes/all.js": {
            "title": "$:/core/modules/filterrunprefixes/all.js",
            "text": "/*\\\ntitle: $:/core/modules/filterrunprefixes/all.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\nUnion of sets without de-duplication.\nEquivalent to = filter run prefix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.all = function(operationSubFunction) {\n\treturn function(results,source,widget) {\n\t\tresults.push.apply(results, operationSubFunction(source,widget));\n\t};\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filterrunprefix"
        },
        "$:/core/modules/filterrunprefixes/and.js": {
            "title": "$:/core/modules/filterrunprefixes/and.js",
            "text": "/*\\\ntitle: $:/core/modules/filterrunprefixes/and.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\nIntersection of sets.\nEquivalent to + filter run prefix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.and = function(operationSubFunction,options) {\n\treturn function(results,source,widget) {\n\t\t// This replaces all the elements of the array, but keeps the actual array so that references to it are preserved\n\t\tsource = options.wiki.makeTiddlerIterator(results.toArray());\n\t\tresults.clear();\n\t\tresults.pushTop(operationSubFunction(source,widget));\n\t};\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filterrunprefix"
        },
        "$:/core/modules/filterrunprefixes/else.js": {
            "title": "$:/core/modules/filterrunprefixes/else.js",
            "text": "/*\\\ntitle: $:/core/modules/filterrunprefixes/else.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\nEquivalent to ~ filter run prefix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.else = function(operationSubFunction) {\n\treturn function(results,source,widget) {\n\t\tif(results.length === 0) {\n\t\t\t// Main result so far is empty\n\t\t\tresults.pushTop(operationSubFunction(source,widget));\n\t\t}\n\t};\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filterrunprefix"
        },
        "$:/core/modules/filterrunprefixes/except.js": {
            "title": "$:/core/modules/filterrunprefixes/except.js",
            "text": "/*\\\ntitle: $:/core/modules/filterrunprefixes/except.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\nDifference of sets.\nEquivalent to - filter run prefix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.except = function(operationSubFunction) {\n\treturn function(results,source,widget) {\n\t\tresults.remove(operationSubFunction(source,widget));\n\t};\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filterrunprefix"
        },
        "$:/core/modules/filterrunprefixes/filter.js": {
            "title": "$:/core/modules/filterrunprefixes/filter.js",
            "text": "/*\\\ntitle: $:/core/modules/filterrunprefixes/filter.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.filter = function(operationSubFunction,options) {\n\treturn function(results,source,widget) {\n\t\tif(results.length > 0) {\n\t\t\tvar resultsToRemove = [];\n\t\t\tresults.each(function(result) {\n\t\t\t\tvar filtered = operationSubFunction(options.wiki.makeTiddlerIterator([result]),widget);\n\t\t\t\tif(filtered.length === 0) {\n\t\t\t\t\tresultsToRemove.push(result);\n\t\t\t\t}\n\t\t\t});\n\t\t\tresults.remove(resultsToRemove);\n\t\t}\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filterrunprefix"
        },
        "$:/core/modules/filterrunprefixes/intersection.js": {
            "title": "$:/core/modules/filterrunprefixes/intersection.js",
            "text": "/*\\\ntitle: $:/core/modules/filterrunprefixes/intersection.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.intersection = function(operationSubFunction) {\n\treturn function(results,source,widget) {\n\t\tif(results.length !== 0) {\n\t\t\tvar secondRunResults = operationSubFunction(source,widget);\n\t\t\tvar firstRunResults = results.toArray();\n\t\t\tresults.clear();\n\t\t\t$tw.utils.each(firstRunResults,function(title) {\n\t\t\t\tif(secondRunResults.indexOf(title) !== -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t};\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filterrunprefix"
        },
        "$:/core/modules/filterrunprefixes/or.js": {
            "title": "$:/core/modules/filterrunprefixes/or.js",
            "text": "/*\\\ntitle: $:/core/modules/filterrunprefixes/or.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\nEquivalent to a filter run with no prefix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.or = function(operationSubFunction) {\n\treturn function(results,source,widget) {\n\t\tresults.pushTop(operationSubFunction(source,widget));\n\t};\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filterrunprefix"
        },
        "$:/core/modules/filterrunprefixes/reduce.js": {
            "title": "$:/core/modules/filterrunprefixes/reduce.js",
            "text": "/*\\\ntitle: $:/core/modules/filterrunprefixes/reduce.js\ntype: application/javascript\nmodule-type: filterrunprefix\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter prefix function\n*/\nexports.reduce = function(operationSubFunction,options) {\n\treturn function(results,source,widget) {\n\t\tif(results.length > 0) {\n\t\t\tvar accumulator = \"\";\n\t\t\tvar index = 0;\n\t\t\tresults.each(function(title) {\n\t\t\t\tvar list = operationSubFunction(options.wiki.makeTiddlerIterator([title]),{\n\t\t\t\t\t\tgetVariable: function(name) {\n\t\t\t\t\t\t\tswitch(name) {\n\t\t\t\t\t\t\t\tcase \"currentTiddler\":\n\t\t\t\t\t\t\t\t\treturn \"\" + title;\n\t\t\t\t\t\t\t\tcase \"accumulator\":\n\t\t\t\t\t\t\t\t\treturn \"\" + accumulator;\n\t\t\t\t\t\t\t\tcase \"index\":\n\t\t\t\t\t\t\t\t\treturn \"\" + index;\n\t\t\t\t\t\t\t\tcase \"revIndex\":\n\t\t\t\t\t\t\t\t\treturn \"\" +  (results.length - 1 - index);\n\t\t\t\t\t\t\t\tcase \"length\":\n\t\t\t\t\t\t\t\t\treturn \"\" + results.length;\n\t\t\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\t\t\treturn widget.getVariable(name);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\tif(list.length > 0) {\n\t\t\t\t\taccumulator = \"\" + list[0];\n\t\t\t\t}\n\t\t\t\t++index;\n\t\t\t});\n\t\t\tresults.clear();\n\t\t\tresults.push(accumulator);\t\n\t\t}\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filterrunprefix"
        },
        "$:/core/modules/filters/addprefix.js": {
            "title": "$:/core/modules/filters/addprefix.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/addprefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for adding a prefix to each title in the list. This is\nespecially useful in contexts where only a filter expression is allowed\nand macro substitution isn't available.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.addprefix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(operator.operand + title);\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/addsuffix.js": {
            "title": "$:/core/modules/filters/addsuffix.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/addsuffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for adding a suffix to each title in the list. This is\nespecially useful in contexts where only a filter expression is allowed\nand macro substitution isn't available.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.addsuffix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title + operator.operand);\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/after.js": {
            "title": "$:/core/modules/filters/after.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/after.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler from the current list that is after the tiddler named in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.after = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar index = results.indexOf(operator.operand);\n\tif(index === -1 || index > (results.length - 2)) {\n\t\treturn [];\n\t} else {\n\t\treturn [results[index + 1]];\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/all/current.js": {
            "title": "$:/core/modules/filters/all/current.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/all/current.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[current]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.current = function(source,prefix,options) {\n\tvar currTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\");\n\tif(currTiddlerTitle) {\n\t\treturn [currTiddlerTitle];\n\t} else {\n\t\treturn [];\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "allfilteroperator"
        },
        "$:/core/modules/filters/all/missing.js": {
            "title": "$:/core/modules/filters/all/missing.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/all/missing.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[missing]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.missing = function(source,prefix,options) {\n\treturn options.wiki.getMissingTitles();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "allfilteroperator"
        },
        "$:/core/modules/filters/all/orphans.js": {
            "title": "$:/core/modules/filters/all/orphans.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/all/orphans.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[orphans]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.orphans = function(source,prefix,options) {\n\treturn options.wiki.getOrphanTitles();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "allfilteroperator"
        },
        "$:/core/modules/filters/all/shadows.js": {
            "title": "$:/core/modules/filters/all/shadows.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/all/shadows.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[shadows]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadows = function(source,prefix,options) {\n\treturn options.wiki.allShadowTitles();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "allfilteroperator"
        },
        "$:/core/modules/filters/all/tags.js": {
            "title": "$:/core/modules/filters/all/tags.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/all/tags.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[tags]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tags = function(source,prefix,options) {\n\treturn Object.keys(options.wiki.getTagMap());\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "allfilteroperator"
        },
        "$:/core/modules/filters/all/tiddlers.js": {
            "title": "$:/core/modules/filters/all/tiddlers.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/all/tiddlers.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[tiddlers]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tiddlers = function(source,prefix,options) {\n\treturn options.wiki.allTitles();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "allfilteroperator"
        },
        "$:/core/modules/filters/all.js": {
            "title": "$:/core/modules/filters/all.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/all.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for selecting tiddlers\n\n[all[shadows+tiddlers]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar allFilterOperators;\n\nfunction getAllFilterOperators() {\n\tif(!allFilterOperators) {\n\t\tallFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"allfilteroperator\",allFilterOperators);\n\t}\n\treturn allFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.all = function(source,operator,options) {\n\t// Get our suboperators\n\tvar allFilterOperators = getAllFilterOperators();\n\t// Cycle through the suboperators accumulating their results\n\tvar results = [],\n\t\tsubops = operator.operand.split(\"+\");\n\t// Check for common optimisations\n\tif(subops.length === 1 && subops[0] === \"\") {\n\t\treturn source;\n\t} else if(subops.length === 1 && subops[0] === \"tiddlers\") {\n\t\treturn options.wiki.each;\n\t} else if(subops.length === 1 && subops[0] === \"shadows\") {\n\t\treturn options.wiki.eachShadow;\n\t} else if(subops.length === 2 && subops[0] === \"tiddlers\" && subops[1] === \"shadows\") {\n\t\treturn options.wiki.eachTiddlerPlusShadows;\n\t} else if(subops.length === 2 && subops[0] === \"shadows\" && subops[1] === \"tiddlers\") {\n\t\treturn options.wiki.eachShadowPlusTiddlers;\n\t}\n\t// Do it the hard way\n\tfor(var t=0; t<subops.length; t++) {\n\t\tvar subop = allFilterOperators[subops[t]];\n\t\tif(subop) {\n\t\t\t$tw.utils.pushTop(results,subop(source,operator.prefix,options));\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/backlinks.js": {
            "title": "$:/core/modules/filters/backlinks.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/backlinks.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning all the backlinks from a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.backlinks = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlerBacklinks(title));\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/before.js": {
            "title": "$:/core/modules/filters/before.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/before.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler from the current list that is before the tiddler named in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.before = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar index = results.indexOf(operator.operand);\n\tif(index <= 0) {\n\t\treturn [];\n\t} else {\n\t\treturn [results[index - 1]];\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/commands.js": {
            "title": "$:/core/modules/filters/commands.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/commands.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the commands available in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.commands = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.commands,function(commandInfo,name) {\n\t\tresults.push(name);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/compare.js": {
            "title": "$:/core/modules/filters/compare.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/compare.js\ntype: application/javascript\nmodule-type: filteroperator\n\nGeneral purpose comparison operator\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.compare = function(source,operator,options) {\n\tvar suffixes = operator.suffixes || [],\n\t\ttype = (suffixes[0] || [])[0],\n\t\tmode = (suffixes[1] || [])[0],\n\t\ttypeFn = $tw.utils.makeCompareFunction(type,{defaultType: \"number\"}),\n\t\tmodeFn = modes[mode] || modes.eq,\n\t\tinvert = operator.prefix === \"!\",\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tif(modeFn(typeFn(title,operator.operand)) !== invert) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\nvar modes = {\n\t\"eq\": function(value) {return value === 0;},\n\t\"ne\": function(value) {return value !== 0;},\n\t\"gteq\": function(value) {return value >= 0;},\n\t\"gt\": function(value) {return value > 0;},\n\t\"lteq\": function(value) {return value <= 0;},\n\t\"lt\": function(value) {return value < 0;}\n}\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/contains.js": {
            "title": "$:/core/modules/filters/contains.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/contains.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for finding values in array fields\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.contains = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldname = (operator.suffix || \"list\").toLowerCase();\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\tvar list = tiddler.getFieldList(fieldname);\n\t\t\t\tif(list.indexOf(operator.operand) === -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\tvar list = tiddler.getFieldList(fieldname);\n\t\t\t\tif(list.indexOf(operator.operand) !== -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/count.js": {
            "title": "$:/core/modules/filters/count.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/count.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the number of entries in the current list.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.count = function(source,operator,options) {\n\tvar count = 0;\n\tsource(function(tiddler,title) {\n\t\tcount++;\n\t});\n\treturn [count + \"\"];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/days.js": {
            "title": "$:/core/modules/filters/days.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/days.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects tiddlers with a specified date field within a specified date interval.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.days = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName = operator.suffix || \"modified\",\n\t\tdayInterval = (parseInt(operator.operand,10)||0),\n\t\tdayIntervalSign = $tw.utils.sign(dayInterval),\n\t\ttargetTimeStamp = (new Date()).setHours(0,0,0,0) + 1000*60*60*24*dayInterval,\n\t\tisWithinDays = function(dateField) {\n\t\t\tvar sign = $tw.utils.sign(targetTimeStamp - (new Date(dateField)).setHours(0,0,0,0));\n\t\t\treturn sign === 0 || sign === dayIntervalSign;\n\t\t};\n\n\tif(operator.prefix === \"!\") {\n\t\ttargetTimeStamp = targetTimeStamp - 1000*60*60*24*dayIntervalSign;\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\t\tif(!isWithinDays($tw.utils.parseDate(tiddler.fields[fieldName]))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\t\tif(isWithinDays($tw.utils.parseDate(tiddler.fields[fieldName]))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/duplicateslugs.js": {
            "title": "$:/core/modules/filters/duplicateslugs.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/duplicateslugs.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter function for [duplicateslugs[]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.duplicateslugs = function(source,operator,options) {\n\tvar slugs = Object.create(null), // Hashmap by slug of title, replaced with \"true\" if the duplicate title has already been output\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tvar slug = options.wiki.slugify(title);\n\t\tif(slug in slugs) {\n\t\t\tif(slugs[slug] !== true) {\n\t\t\t\tresults.push(slugs[slug]);\n\t\t\t\tslugs[slug] = true;\n\t\t\t}\n\t\t\tresults.push(title);\n\t\t} else {\n\t\t\tslugs[slug] = title;\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/each.js": {
            "title": "$:/core/modules/filters/each.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/each.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects one tiddler for each unique value of the specified field.\nWith suffix \"list\", selects all tiddlers that are values in a specified list field.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.each = function(source,operator,options) {\n\tvar results =[] ,\n\tvalue,values = {},\n\tfield = operator.operand || \"title\";\n\tif(operator.suffix === \"value\" && field === \"title\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!$tw.utils.hop(values,title)) {\n\t\t\t\tvalues[title] = true;\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else if(operator.suffix !== \"list-item\") {\n\t\tif(field === \"title\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && !$tw.utils.hop(values,title)) {\n\t\t\t\t\tvalues[title] = true;\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvalue = tiddler.getFieldString(field);\n\t\t\t\t\tif(!$tw.utils.hop(values,value)) {\n\t\t\t\t\t\tvalues[value] = true;\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\t$tw.utils.each(\n\t\t\t\t\toptions.wiki.getTiddlerList(title,field),\n\t\t\t\t\tfunction(value) {\n\t\t\t\t\t\tif(!$tw.utils.hop(values,value)) {\n\t\t\t\t\t\t\tvalues[value] = true;\n\t\t\t\t\t\t\tresults.push(value);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/eachday.js": {
            "title": "$:/core/modules/filters/eachday.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/eachday.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects one tiddler for each unique day covered by the specified date field\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.eachday = function(source,operator,options) {\n\tvar results = [],\n\t\tvalues = [],\n\t\tfieldName = operator.operand || \"modified\";\n\t// Function to convert a date/time to a date integer\n\tvar toDate = function(value) {\n\t\tvalue = (new Date(value)).setHours(0,0,0,0);\n\t\treturn value+0;\n\t};\n\tsource(function(tiddler,title) {\n\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\tvar value = toDate($tw.utils.parseDate(tiddler.fields[fieldName]));\n\t\t\tif(values.indexOf(value) === -1) {\n\t\t\t\tvalues.push(value);\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/editiondescription.js": {
            "title": "$:/core/modules/filters/editiondescription.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/editiondescription.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the descriptions of the specified edition names\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.editiondescription = function(source,operator,options) {\n\tvar results = [];\n\tif($tw.node) {\n\t\tvar editionInfo = $tw.utils.getEditionInfo();\n\t\tif(editionInfo) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif($tw.utils.hop(editionInfo,title)) {\n\t\t\t\t\tresults.push(editionInfo[title].description || \"\");\t\t\t\t\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/editions.js": {
            "title": "$:/core/modules/filters/editions.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/editions.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the available editions in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.editions = function(source,operator,options) {\n\tvar results = [];\n\tif($tw.node) {\n\t\tvar editionInfo = $tw.utils.getEditionInfo();\n\t\tif(editionInfo) {\n\t\t\t$tw.utils.each(editionInfo,function(info,name) {\n\t\t\t\tresults.push(name);\n\t\t\t});\n\t\t}\n\t\tresults.sort();\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/else.js": {
            "title": "$:/core/modules/filters/else.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/else.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing an empty input list with a constant, passing a non-empty input list straight through\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.else = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tif(results.length === 0) {\n\t\treturn [operator.operand];\n\t} else {\n\t\treturn results;\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/decodeuricomponent.js": {
            "title": "$:/core/modules/filters/decodeuricomponent.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/decodeuricomponent.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for applying decodeURIComponent() to each item.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter functions\n*/\n\nexports.decodeuricomponent = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar value = title;\n\t\ttry {\n\t\t\tvalue = decodeURIComponent(title);\n\t\t} catch(e) {\n\t\t}\n\t\tresults.push(value);\n\t});\n\treturn results;\n};\n\nexports.encodeuricomponent = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(encodeURIComponent(title));\n\t});\n\treturn results;\n};\n\nexports.decodeuri = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar value = title;\n\t\ttry {\n\t\t\tvalue = decodeURI(title);\n\t\t} catch(e) {\n\t\t}\n\t\tresults.push(value);\n\t});\n\treturn results;\n};\n\nexports.encodeuri = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(encodeURI(title));\n\t});\n\treturn results;\n};\n\nexports.decodehtml = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.htmlDecode(title));\n\t});\n\treturn results;\n};\n\nexports.encodehtml = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.htmlEncode(title));\n\t});\n\treturn results;\n};\n\nexports.stringify = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.stringify(title,(operator.suffix === \"rawunicode\")));\n\t});\n\treturn results;\n};\n\nexports.jsonstringify = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.jsonStringify(title,(operator.suffix === \"rawunicode\")));\n\t});\n\treturn results;\n};\n\nexports.escaperegexp = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.escapeRegExp(title));\n\t});\n\treturn results;\n};\n\nexports.escapecss = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t// escape any character with a special meaning in CSS using CSS.escape()\n\t\tresults.push(CSS.escape(title));\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/enlist.js": {
            "title": "$:/core/modules/filters/enlist.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/enlist.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning its operand parsed as a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.enlist = function(source,operator,options) {\n\tvar allowDuplicates = false;\n\tswitch(operator.suffix) {\n\t\tcase \"raw\":\n\t\t\tallowDuplicates = true;\n\t\t\tbreak;\n\t\tcase \"dedupe\":\n\t\t\tallowDuplicates = false;\n\t\t\tbreak;\n\t}\n\tvar list = $tw.utils.parseStringArray(operator.operand,allowDuplicates);\n\tif(operator.prefix === \"!\") {\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t\treturn results;\n\t} else {\n\t\treturn list;\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/field.js": {
            "title": "$:/core/modules/filters/field.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/field.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for comparing fields for equality\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.field = function(source,operator,options) {\n\tvar results = [],indexedResults,\n\t\tfieldname = (operator.suffix || operator.operator || \"title\").toLowerCase();\n\tif(operator.prefix === \"!\") {\n\t\tif(operator.regexp) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && !operator.regexp.exec(text)) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && text !== operator.operand) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tif(operator.regexp) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && !!operator.regexp.exec(text)) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tif(source.byField && operator.operand) {\n\t\t\t\tindexedResults = source.byField(fieldname,operator.operand);\n\t\t\t\tif(indexedResults) {\n\t\t\t\t\treturn indexedResults\n\t\t\t\t}\n\t\t\t}\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && text === operator.operand) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/fields.js": {
            "title": "$:/core/modules/filters/fields.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/fields.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the fields on the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.fields = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName,\n\t\tsuffixes = (operator.suffixes || [])[0] || [],\n\t\toperand = $tw.utils.parseStringArray(operator.operand);\n\t\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tif(suffixes.indexOf(\"include\") !== -1) {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t(operand.indexOf(fieldName) !== -1) ? $tw.utils.pushTop(results,fieldName) : \"\";\n\t\t\t\t}\n\t\t\t} else if (suffixes.indexOf(\"exclude\") !== -1) {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t(operand.indexOf(fieldName) !== -1) ? \"\" : $tw.utils.pushTop(results,fieldName);\n\t\t\t\t}\n\t\t\t} // else if\n\t\t\telse {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t$tw.utils.pushTop(results,fieldName);\n\t\t\t\t}\n\t\t\t} // else\n\t\t} // if (tiddler)\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/filter.js": {
            "title": "$:/core/modules/filters/filter.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/filter.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning those input titles that pass a subfilter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.filter = function(source,operator,options) {\n\tvar filterFn = options.wiki.compileFilter(operator.operand),\n\t\tresults = [],\n\t\ttarget = operator.prefix !== \"!\";\n\tsource(function(tiddler,title) {\n\t\tvar list = filterFn.call(options.wiki,options.wiki.makeTiddlerIterator([title]));\n\t\tif((list.length > 0) === target) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/format/date.js": {
            "title": "$:/core/modules/filters/format/date.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/format/date.js\ntype: application/javascript\nmodule-type: formatfilteroperator\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.date = function(source,operand,options) {\n\tvar results = [];\t\n\tsource(function(tiddler,title) {\n\t\tvar value = $tw.utils.parseDate(title);\n\t\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\t\tresults.push($tw.utils.formatDateString(value,operand || \"YYYY MM DD 0hh:0mm\"));\n\t\t}\n\t});\t\n\treturn results;\n};\n\n})();",
            "type": "application/javascript",
            "module-type": "formatfilteroperator"
        },
        "$:/core/modules/filters/format/relativedate.js": {
            "title": "$:/core/modules/filters/format/relativedate.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/format/relativedate.js\ntype: application/javascript\nmodule-type: formatfilteroperator\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.relativedate = function(source,operand,options) {\n\tvar results = [];\t\n\tsource(function(tiddler,title) {\n\t\tvar value = $tw.utils.parseDate(title);\n\t\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\t\tresults.push($tw.utils.getRelativeDate((new Date()) - (new Date(value))).description);\n\t\t}\n\t});\t\n\treturn results;\n};\n\n})();",
            "type": "application/javascript",
            "module-type": "formatfilteroperator"
        },
        "$:/core/modules/filters/format.js": {
            "title": "$:/core/modules/filters/format.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/format.js\ntype: application/javascript\nmodule-type: filteroperator\nFilter operator for formatting strings\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar formatFilterOperators;\n\nfunction getFormatFilterOperators() {\n\tif(!formatFilterOperators) {\n\t\tformatFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"formatfilteroperator\",formatFilterOperators);\n\t}\n\treturn formatFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.format = function(source,operator,options) {\n\t// Dispatch to the correct formatfilteroperator\n\tvar formatFilterOperators = getFormatFilterOperators();\n\tif(operator.suffix) {\n\t\tvar formatFilterOperator = formatFilterOperators[operator.suffix];\n\t\tif(formatFilterOperator) {\n\t\t\treturn formatFilterOperator(source,operator.operand,options);\n\t\t} else {\n\t\t\treturn [$tw.language.getString(\"Error/FormatFilterOperator\")];\n\t\t}\n\t} else {\n\t\t// Return all unchanged if the suffix is missing\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t\treturn results;\n\t}\n};\n\n})();",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/get.js": {
            "title": "$:/core/modules/filters/get.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/get.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing tiddler titles by the value of the field specified in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.get = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tvar value = tiddler.getFieldString(operator.operand);\n\t\t\tif(value) {\n\t\t\t\tresults.push(value);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/getindex.js": {
            "title": "$:/core/modules/filters/getindex.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/getindex.js\ntype: application/javascript\nmodule-type: filteroperator\n\nreturns the value at a given index of datatiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.getindex = function(source,operator,options) {\n\tvar data,title,results = [];\n\tif(operator.operand){\n\t\tsource(function(tiddler,title) {\n\t\t\ttitle = tiddler ? tiddler.fields.title : title;\n\t\t\tdata = options.wiki.extractTiddlerDataItem(tiddler,operator.operand);\n\t\t\tif(data) {\n\t\t\t\tresults.push(data);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/getvariable.js": {
            "title": "$:/core/modules/filters/getvariable.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/getvariable.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing input values by the value of the variable with the same name, or blank if the variable is missing\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.getvariable = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(options.widget.getVariable(title) || \"\");\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/has.js": {
            "title": "$:/core/modules/filters/has.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/has.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a tiddler has the specified field or index\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.has = function(source,operator,options) {\n\tvar results = [],\n\t\tinvert = operator.prefix === \"!\";\n\n\tif(operator.suffix === \"field\") {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || (tiddler && (!$tw.utils.hop(tiddler.fields,operator.operand)))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop(tiddler.fields,operator.operand)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\telse if(operator.suffix === \"index\") {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || (tiddler && (!$tw.utils.hop(options.wiki.getTiddlerDataCached(tiddler,Object.create(null)),operator.operand)))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop(options.wiki.getTiddlerDataCached(tiddler,Object.create(null)),operator.operand)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\telse {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || !$tw.utils.hop(tiddler.fields,operator.operand) || (tiddler.fields[operator.operand].length === 0)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop(tiddler.fields,operator.operand) && (tiddler.fields[operator.operand].length !== 0)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\t\t\t\t\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/haschanged.js": {
            "title": "$:/core/modules/filters/haschanged.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/haschanged.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returns tiddlers from the list that have a non-zero changecount.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.haschanged = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.getChangeCount(title) === 0) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.getChangeCount(title) > 0) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/indexes.js": {
            "title": "$:/core/modules/filters/indexes.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/indexes.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the indexes of a data tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.indexes = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar data = options.wiki.getTiddlerDataCached(title);\n\t\tif(data) {\n\t\t\t$tw.utils.pushTop(results,Object.keys(data));\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/insertbefore.js": {
            "title": "$:/core/modules/filters/insertbefore.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/insertbefore.js\ntype: application/javascript\nmodule-type: filteroperator\n\nInsert an item before another item in a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOrder a list\n*/\nexports.insertbefore = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar target = options.widget && options.widget.getVariable(operator.suffix || \"currentTiddler\");\n\tif(target !== operator.operand) {\n\t\t// Remove the entry from the list if it is present\n\t\tvar pos = results.indexOf(operator.operand);\n\t\tif(pos !== -1) {\n\t\t\tresults.splice(pos,1);\n\t\t}\n\t\t// Insert the entry before the target marker\n\t\tpos = results.indexOf(target);\n\t\tif(pos !== -1) {\n\t\t\tresults.splice(pos,0,operator.operand);\n\t\t} else {\n\t\t\tresults.push(operator.operand);\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/is/binary.js": {
            "title": "$:/core/modules/filters/is/binary.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/binary.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[binary]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.binary = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isBinaryTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isBinaryTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/blank.js": {
            "title": "$:/core/modules/filters/is/blank.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/blank.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[blank]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.blank = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!title) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/current.js": {
            "title": "$:/core/modules/filters/is/current.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/current.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[current]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.current = function(source,prefix,options) {\n\tvar results = [],\n\t\tcurrTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\");\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title !== currTiddlerTitle) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title === currTiddlerTitle) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/draft.js": {
            "title": "$:/core/modules/filters/is/draft.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/draft.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[draft]] analagous to [has[draft.of]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.draft = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!tiddler || !$tw.utils.hop(tiddler.fields,\"draft.of\")) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && $tw.utils.hop(tiddler.fields,\"draft.of\") && (tiddler.fields[\"draft.of\"].length !== 0)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\t\t\t\t\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/image.js": {
            "title": "$:/core/modules/filters/is/image.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/image.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[image]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.image = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isImageTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isImageTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/missing.js": {
            "title": "$:/core/modules/filters/is/missing.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/missing.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[missing]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.missing = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/orphan.js": {
            "title": "$:/core/modules/filters/is/orphan.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/orphan.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[orphan]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.orphan = function(source,prefix,options) {\n\tvar results = [],\n\t\torphanTitles = options.wiki.getOrphanTitles();\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(orphanTitles.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(orphanTitles.indexOf(title) !== -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/shadow.js": {
            "title": "$:/core/modules/filters/is/shadow.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/shadow.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[shadow]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadow = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isShadowTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isShadowTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/system.js": {
            "title": "$:/core/modules/filters/is/system.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/system.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[system]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.system = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isSystemTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isSystemTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/tag.js": {
            "title": "$:/core/modules/filters/is/tag.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/tag.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[tag]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tag = function(source,prefix,options) {\n\tvar results = [],\n\t\ttagMap = options.wiki.getTagMap();\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!$tw.utils.hop(tagMap,title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif($tw.utils.hop(tagMap,title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/tiddler.js": {
            "title": "$:/core/modules/filters/is/tiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/tiddler.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[tiddler]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tiddler = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is/variable.js": {
            "title": "$:/core/modules/filters/is/variable.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is/variable.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[variable]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.variable = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!(title in options.widget.variables)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title in options.widget.variables) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "isfilteroperator"
        },
        "$:/core/modules/filters/is.js": {
            "title": "$:/core/modules/filters/is.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/is.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking tiddler properties\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar isFilterOperators;\n\nfunction getIsFilterOperators() {\n\tif(!isFilterOperators) {\n\t\tisFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"isfilteroperator\",isFilterOperators);\n\t}\n\treturn isFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.is = function(source,operator,options) {\n\t// Dispatch to the correct isfilteroperator\n\tvar isFilterOperators = getIsFilterOperators();\n\tif(operator.operand) {\n\t\tvar isFilterOperator = isFilterOperators[operator.operand];\n\t\tif(isFilterOperator) {\n\t\t\treturn isFilterOperator(source,operator.prefix,options);\n\t\t} else {\n\t\t\treturn [$tw.language.getString(\"Error/IsFilterOperator\")];\n\t\t}\n\t} else {\n\t\t// Return all tiddlers if the operand is missing\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t\treturn results;\n\t}\n};\n\n})();",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/limit.js": {
            "title": "$:/core/modules/filters/limit.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/limit.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for chopping the results to a specified maximum number of entries\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.limit = function(source,operator,options) {\n\tvar results = [];\n\t// Convert to an array\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\t// Slice the array if necessary\n\tvar limit = Math.min(results.length,parseInt(operator.operand,10));\n\tif(operator.prefix === \"!\") {\n\t\tresults = results.slice(-limit);\n\t} else {\n\t\tresults = results.slice(0,limit);\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/links.js": {
            "title": "$:/core/modules/filters/links.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/links.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning all the links from a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.links = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlerLinks(title));\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/list.js": {
            "title": "$:/core/modules/filters/list.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/list.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddlers whose title is listed in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.list = function(source,operator,options) {\n\tvar results = [],\n\t\ttr = $tw.utils.parseTextReference(operator.operand),\n\t\tcurrTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\"),\n\t\tlist = options.wiki.getTiddlerList(tr.title || currTiddlerTitle,tr.field,tr.index);\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tresults = list;\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/listed.js": {
            "title": "$:/core/modules/filters/listed.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/listed.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all tiddlers that have the selected tiddlers in a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.listed = function(source,operator,options) {\n\tvar field = operator.operand || \"list\",\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.findListingsOfTiddler(title,field));\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/listops.js": {
            "title": "$:/core/modules/filters/listops.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/listops.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for manipulating the current selection list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOrder a list\n*/\nexports.order = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.operand.toLowerCase() === \"reverse\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.unshift(title);\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t}\n\treturn results;\n};\n\n/*\nReverse list\n*/\nexports.reverse = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.unshift(title);\n\t});\n\treturn results;\n};\n\n/*\nFirst entry/entries in list\n*/\nexports.first = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(0,count);\n};\n\n/*\nLast entry/entries in list\n*/\nexports.last = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(-count);\n};\n\n/*\nAll but the first entry/entries of the list\n*/\nexports.rest = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(count);\n};\nexports.butfirst = exports.rest;\nexports.bf = exports.rest;\n\n/*\nAll but the last entry/entries of the list\n*/\nexports.butlast = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(0,-count);\n};\nexports.bl = exports.butlast;\n\n/*\nThe nth member of the list\n*/\nexports.nth = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(count - 1,count);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/lookup.js": {
            "title": "$:/core/modules/filters/lookup.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/lookup.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that looks up values via a title prefix\n\n[lookup:<field>[<prefix>]]\n\nPrepends the prefix to the selected items and returns the specified field value\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.lookup = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(options.wiki.getTiddlerText(operator.operand + title) || operator.suffix);\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/match.js": {
            "title": "$:/core/modules/filters/match.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/match.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title matches a string\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.match = function(source,operator,options) {\n\tvar results = [],\n\t\tsuffixes = (operator.suffixes || [])[0] || [];\n\tif(suffixes.indexOf(\"caseinsensitive\") !== -1) {\n\t\tif(operator.prefix === \"!\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.toLowerCase() !== (operator.operand || \"\").toLowerCase()) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.toLowerCase() === (operator.operand || \"\").toLowerCase()) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tif(operator.prefix === \"!\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title !== operator.operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title === operator.operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/math.js": {
            "title": "$:/core/modules/filters/math.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/math.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for math. Unary/binary operators work on each item in turn, and return a new item list.\n\nSum/product/maxall/minall operate on the entire list, returning a single item.\n\nNote that strings are converted to numbers automatically. Trailing non-digits are ignored.\n\n* \"\" converts to 0\n* \"12kk\" converts to 12\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.negate = makeNumericBinaryOperator(\n\tfunction(a) {return -a}\n);\n\nexports.abs = makeNumericBinaryOperator(\n\tfunction(a) {return Math.abs(a)}\n);\n\nexports.ceil = makeNumericBinaryOperator(\n\tfunction(a) {return Math.ceil(a)}\n);\n\nexports.floor = makeNumericBinaryOperator(\n\tfunction(a) {return Math.floor(a)}\n);\n\nexports.round = makeNumericBinaryOperator(\n\tfunction(a) {return Math.round(a)}\n);\n\nexports.trunc = makeNumericBinaryOperator(\n\tfunction(a) {return Math.trunc(a)}\n);\n\nexports.untrunc = makeNumericBinaryOperator(\n\tfunction(a) {return Math.ceil(Math.abs(a)) * Math.sign(a)}\n);\n\nexports.sign = makeNumericBinaryOperator(\n\tfunction(a) {return Math.sign(a)}\n);\n\nexports.add = makeNumericBinaryOperator(\n\tfunction(a,b) {return a + b;}\n);\n\nexports.subtract = makeNumericBinaryOperator(\n\tfunction(a,b) {return a - b;}\n);\n\nexports.multiply = makeNumericBinaryOperator(\n\tfunction(a,b) {return a * b;}\n);\n\nexports.divide = makeNumericBinaryOperator(\n\tfunction(a,b) {return a / b;}\n);\n\nexports.remainder = makeNumericBinaryOperator(\n\tfunction(a,b) {return a % b;}\n);\n\nexports.max = makeNumericBinaryOperator(\n\tfunction(a,b) {return Math.max(a,b);}\n);\n\nexports.min = makeNumericBinaryOperator(\n\tfunction(a,b) {return Math.min(a,b);}\n);\n\nexports.fixed = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toFixed.call(a,Math.min(Math.max(b,0),100));}\n);\n\nexports.precision = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toPrecision.call(a,Math.min(Math.max(b,1),100));}\n);\n\nexports.exponential = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toExponential.call(a,Math.min(Math.max(b,0),100));}\n);\n\nexports.power = makeNumericBinaryOperator(\n\tfunction(a,b) {return Math.pow(a,b);}\n);\n\nexports.log = makeNumericBinaryOperator(\n\tfunction(a,b) {\n\t\tif(b) {\n\t\t\treturn Math.log(a)/Math.log(b);\n\t\t} else {\n\t\t\treturn Math.log(a);\n\t\t}\n\t}\n);\n\nexports.sum = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return accumulator + value},\n\t0 // Initial value\n);\n\nexports.product = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return accumulator * value},\n\t1 // Initial value\n);\n\nexports.maxall = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return Math.max(accumulator,value)},\n\t-Infinity // Initial value\n);\n\nexports.minall = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return Math.min(accumulator,value)},\n\tInfinity // Initial value\n);\n\nfunction makeNumericBinaryOperator(fnCalc) {\n\treturn function(source,operator,options) {\n\t\tvar result = [],\n\t\t\tnumOperand = $tw.utils.parseNumber(operator.operand);\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push($tw.utils.stringifyNumber(fnCalc($tw.utils.parseNumber(title),numOperand)));\n\t\t});\n\t\treturn result;\n\t};\n}\n\nfunction makeNumericReducingOperator(fnCalc,initialValue) {\n\tinitialValue = initialValue || 0;\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push(title);\n\t\t});\n\t\treturn [$tw.utils.stringifyNumber(result.reduce(function(accumulator,currentValue) {\n\t\t\treturn fnCalc(accumulator,$tw.utils.parseNumber(currentValue));\n\t\t},initialValue))];\n\t};\n}\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/minlength.js": {
            "title": "$:/core/modules/filters/minlength.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/minlength.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for filtering out titles that don't meet the minimum length in the operand\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.minlength = function(source,operator,options) {\n\tvar results = [],\n\t\tminLength = parseInt(operator.operand || \"\",10) || 0;\n\tsource(function(tiddler,title) {\n\t\tif(title.length >= minLength) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/modules.js": {
            "title": "$:/core/modules/filters/modules.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/modules.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the titles of the modules of a given type in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.modules = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.each($tw.modules.types[title],function(moduleInfo,moduleName) {\n\t\t\tresults.push(moduleName);\n\t\t});\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/moduletypes.js": {
            "title": "$:/core/modules/filters/moduletypes.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/moduletypes.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the module types in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.moduletypes = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.modules.types,function(moduleInfo,type) {\n\t\tresults.push(type);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/next.js": {
            "title": "$:/core/modules/filters/next.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/next.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler whose title occurs next in the list supplied in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.next = function(source,operator,options) {\n\tvar results = [],\n\t\tlist = options.wiki.getTiddlerList(operator.operand);\n\tsource(function(tiddler,title) {\n\t\tvar match = list.indexOf(title);\n\t\t// increment match and then test if result is in range\n\t\tmatch++;\n\t\tif(match > 0 && match < list.length) {\n\t\t\tresults.push(list[match]);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/plugintiddlers.js": {
            "title": "$:/core/modules/filters/plugintiddlers.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/plugintiddlers.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the titles of the shadow tiddlers within a plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.plugintiddlers = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar pluginInfo = options.wiki.getPluginInfo(title) || options.wiki.getTiddlerDataCached(title,{tiddlers:[]});\n\t\tif(pluginInfo && pluginInfo.tiddlers) {\n\t\t\t$tw.utils.each(pluginInfo.tiddlers,function(fields,title) {\n\t\t\t\tresults.push(title);\n\t\t\t});\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/prefix.js": {
            "title": "$:/core/modules/filters/prefix.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/prefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title starts with a prefix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.prefix = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(0,operator.operand.length) !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(0,operator.operand.length) === operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/previous.js": {
            "title": "$:/core/modules/filters/previous.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/previous.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler whose title occurs immediately prior in the list supplied in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.previous = function(source,operator,options) {\n\tvar results = [],\n\t\tlist = options.wiki.getTiddlerList(operator.operand);\n\tsource(function(tiddler,title) {\n\t\tvar match = list.indexOf(title);\n\t\t// increment match and then test if result is in range\n\t\tmatch--;\n\t\tif(match >= 0) {\n\t\t\tresults.push(list[match]);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/range.js": {
            "title": "$:/core/modules/filters/range.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/range.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for generating a numeric range.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.range = function(source,operator,options) {\n\tvar results = [];\n\t// Split the operand into numbers delimited by these symbols\n\tvar parts = operator.operand.split(/[,:;]/g),\n\t\tbeg, end, inc, i, fixed = 0;\n\tfor (i=0; i<parts.length; i++) {\n\t\t// Validate real number\n\t\tif(!/^\\s*[+-]?((\\d+(\\.\\d*)?)|(\\.\\d+))\\s*$/.test(parts[i])) {\n\t\t\treturn [\"range: bad number \\\"\" + parts[i] + \"\\\"\"];\n\t\t}\n\t\t// Count digits; the most precise number determines decimal places in output.\n\t\tvar frac = /\\.\\d+/.exec(parts[i]);\n\t\tif(frac) {\n\t\t\tfixed = Math.max(fixed,frac[0].length-1);\n\t\t}\n\t\tparts[i] = parseFloat(parts[i]);\n\t}\n\tswitch(parts.length) {\n\t\tcase 1:\n\t\t\tend = parts[0];\n\t\t\tif (end >= 1) {\n\t\t\t\tbeg = 1;\n\t\t\t}\n\t\t\telse if (end <= -1) {\n\t\t\t\tbeg = -1;\n\t\t\t}\n\t\t\telse {\n\t\t\t\treturn [];\n\t\t\t}\n\t\t\tinc = 1;\n\t\t\tbreak;\n\t\tcase 2:\n\t\t\tbeg = parts[0];\n\t\t\tend = parts[1];\n\t\t\tinc = 1;\n\t\t\tbreak;\n\t\tcase 3:\n\t\t\tbeg = parts[0];\n\t\t\tend = parts[1];\n\t\t\tinc = Math.abs(parts[2]);\n\t\t\tbreak;\n\t}\n\tif(inc === 0) {\n\t\treturn [\"range: increment 0 causes infinite loop\"];\n\t}\n\t// May need to count backwards\n\tvar direction = ((end < beg) ? -1 : 1);\n\tinc *= direction;\n\t// Estimate number of resulting elements\n\tif((end - beg) / inc > 10000) {\n\t\treturn [\"range: too many steps (over 10K)\"];\n\t}\n\t// Avoid rounding error on last step\n\tend += direction * 0.5 * Math.pow(0.1,fixed);\n\tvar safety = 10010;\n\t// Enumerate the range\n\tif (end<beg) {\n\t\tfor(i=beg; i>end; i+=inc) {\n\t\t\tresults.push(i.toFixed(fixed));\n\t\t\tif(--safety<0) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t} else {\n\t\tfor(i=beg; i<end; i+=inc) {\n\t\t\tresults.push(i.toFixed(fixed));\n\t\t\tif(--safety<0) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}\n\tif(safety<0) {\n\t\treturn [\"range: unexpectedly large output\"];\n\t}\n\t// Reverse?\n\tif(operator.prefix === \"!\") {\n\t\tresults.reverse();\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/reduce.js": {
            "title": "$:/core/modules/filters/reduce.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/reduce.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator evaluates a subfilter for each item, making the running total available in the variable `accumulator`, and the current index available in the variable `index`\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.reduce = function(source,operator,options) {\n\t// Accumulate the list\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\t// Run the filter over each item\n\tvar filterFn = options.wiki.compileFilter(operator.operand),\n\t\taccumulator = operator.operands[1] || \"\";\n\tfor(var index=0; index<results.length; index++) {\n\t\tvar title = results[index],\n\t\t\tlist = filterFn.call(options.wiki,options.wiki.makeTiddlerIterator([title]),{\n\t\t\t\tgetVariable: function(name) {\n\t\t\t\t\tswitch(name) {\n\t\t\t\t\t\tcase \"currentTiddler\":\n\t\t\t\t\t\t\treturn \"\" + title;\n\t\t\t\t\t\tcase \"accumulator\":\n\t\t\t\t\t\t\treturn \"\" + accumulator;\n\t\t\t\t\t\tcase \"index\":\n\t\t\t\t\t\t\treturn \"\" + index;\n\t\t\t\t\t\tcase \"revIndex\":\n\t\t\t\t\t\t\treturn \"\" + (results.length - 1 - index);\n\t\t\t\t\t\tcase \"length\":\n\t\t\t\t\t\t\treturn \"\" + results.length;\n\t\t\t\t\t\tdefault:\n\t\t\t\t\t\t\treturn options.widget.getVariable(name);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\tif(list.length > 0) {\n\t\t\taccumulator = \"\" +  list[0];\n\t\t}\n\t}\n\tif(results.length > 0) {\n\t\treturn [accumulator];\n\t} else {\n\t\treturn [];\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/regexp.js": {
            "title": "$:/core/modules/filters/regexp.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/regexp.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for regexp matching\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.regexp = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldname = (operator.suffix || \"title\").toLowerCase(),\n\t\tregexpString, regexp, flags = \"\", match,\n\t\tgetFieldString = function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\treturn tiddler.getFieldString(fieldname);\n\t\t\t} else if(fieldname === \"title\") {\n\t\t\t\treturn title;\n\t\t\t} else {\n\t\t\t\treturn null;\n\t\t\t}\n\t\t};\n\t// Process flags and construct regexp\n\tregexpString = operator.operand;\n\tmatch = /^\\(\\?([gim]+)\\)/.exec(regexpString);\n\tif(match) {\n\t\tflags = match[1];\n\t\tregexpString = regexpString.substr(match[0].length);\n\t} else {\n\t\tmatch = /\\(\\?([gim]+)\\)$/.exec(regexpString);\n\t\tif(match) {\n\t\t\tflags = match[1];\n\t\t\tregexpString = regexpString.substr(0,regexpString.length - match[0].length);\n\t\t}\n\t}\n\ttry {\n\t\tregexp = new RegExp(regexpString,flags);\n\t} catch(e) {\n\t\treturn [\"\" + e];\n\t}\n\t// Process the incoming tiddlers\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar text = getFieldString(tiddler,title);\n\t\t\tif(text !== null) {\n\t\t\t\tif(!regexp.exec(text)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar text = getFieldString(tiddler,title);\n\t\t\tif(text !== null) {\n\t\t\t\tif(!!regexp.exec(text)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/removeprefix.js": {
            "title": "$:/core/modules/filters/removeprefix.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/removeprefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for removing a prefix from each title in the list. Titles that do not start with the prefix are removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.removeprefix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(title.substr(0,operator.operand.length) === operator.operand) {\n\t\t\tresults.push(title.substr(operator.operand.length));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/removesuffix.js": {
            "title": "$:/core/modules/filters/removesuffix.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/removesuffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for removing a suffix from each title in the list. Titles that do not end with the suffix are removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.removesuffix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(title && title.substr(-operator.operand.length) === operator.operand) {\n\t\t\tresults.push(title.substr(0,title.length - operator.operand.length));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/sameday.js": {
            "title": "$:/core/modules/filters/sameday.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/sameday.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects tiddlers with a modified date field on the same day as the provided value.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sameday = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName = operator.suffix || \"modified\",\n\t\ttargetDate = (new Date($tw.utils.parseDate(operator.operand))).setHours(0,0,0,0);\n\t// Function to convert a date/time to a date integer\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tif(tiddler.getFieldDay(fieldName) === targetDate) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/search.js": {
            "title": "$:/core/modules/filters/search.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/search.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for searching for the text in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.search = function(source,operator,options) {\n\tvar invert = operator.prefix === \"!\";\n\tif(operator.suffixes) {\n\t\tvar hasFlag = function(flag) {\n\t\t\t\treturn (operator.suffixes[1] || []).indexOf(flag) !== -1;\n\t\t\t},\n\t\t\texcludeFields = false,\n\t\t\tfieldList = operator.suffixes[0] || [],\n\t\t\tfirstField = fieldList[0] || \"\", \n\t\t\tfirstChar = firstField.charAt(0),\n\t\t\tfields;\n\t\tif(firstChar === \"-\") {\n\t\t\tfields = [firstField.slice(1)].concat(fieldList.slice(1));\n\t\t\texcludeFields = true;\n\t\t} else if(fieldList[0] === \"*\"){\n\t\t\tfields = [];\n\t\t\texcludeFields = true;\n\t\t} else {\n\t\t\tfields = fieldList.slice(0);\n\t\t}\n\t\treturn options.wiki.search(operator.operand,{\n\t\t\tsource: source,\n\t\t\tinvert: invert,\n\t\t\tfield: fields,\n\t\t\texcludeField: excludeFields,\n\t\t\tcaseSensitive: hasFlag(\"casesensitive\"),\n\t\t\tliteral: hasFlag(\"literal\"),\n\t\t\twhitespace: hasFlag(\"whitespace\"),\n\t\t\tanchored: hasFlag(\"anchored\"),\n\t\t\tregexp: hasFlag(\"regexp\"),\n\t\t\twords: hasFlag(\"words\")\n\t\t});\n\t} else {\n\t\treturn options.wiki.search(operator.operand,{\n\t\t\tsource: source,\n\t\t\tinvert: invert\n\t\t});\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/shadowsource.js": {
            "title": "$:/core/modules/filters/shadowsource.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/shadowsource.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the source plugins for shadow tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadowsource = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar source = options.wiki.getShadowSource(title);\n\t\tif(source) {\n\t\t\t$tw.utils.pushTop(results,source);\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/slugify.js": {
            "title": "$:/core/modules/filters/slugify.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/slugify.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for slugifying a tiddler title\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.slugify = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(options.wiki.slugify(title));\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/sort.js": {
            "title": "$:/core/modules/filters/sort.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/sort.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for sorting\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sort = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",false,false);\n\treturn results;\n};\n\nexports.nsort = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",false,true);\n\treturn results;\n};\n\nexports.sortan = function(source, operator, options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results, operator.operand || \"title\", operator.prefix === \"!\",false,false,true);\n\treturn results;\n};\n\nexports.sortcs = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",true,false);\n\treturn results;\n};\n\nexports.nsortcs = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",true,true);\n\treturn results;\n};\n\nvar prepare_results = function (source) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/sortsub.js": {
            "title": "$:/core/modules/filters/sortsub.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/sortsub.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for sorting by a subfilter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sortsub = function(source,operator,options) {\n\t// Compile the subfilter\n\tvar filterFn = options.wiki.compileFilter(operator.operand);\n\t// Collect the input titles and the corresponding sort keys\n\tvar inputTitles = [],\n\t\tsortKeys = [];\n\tsource(function(tiddler,title) {\n\t\tinputTitles.push(title);\n\t\tvar r = filterFn.call(options.wiki,function(iterator) {\n\t\t\titerator(options.wiki.getTiddler(title),title);\n\t\t},{\n\t\t\tgetVariable: function(name) {\n\t\t\t\tif(name === \"currentTiddler\") {\n\t\t\t\t\treturn title;\n\t\t\t\t} else {\n\t\t\t\t\treturn options.widget.getVariable(name);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t\tsortKeys.push(r[0] || \"\");\n\t});\n\t// Rather than sorting the titles array, we'll sort the indexes so that we can consult both arrays\n\tvar indexes = new Array(inputTitles.length);\n\tfor(var t=0; t<inputTitles.length; t++) {\n\t\tindexes[t] = t;\n\t}\n\t// Sort the indexes\n\tvar compareFn = $tw.utils.makeCompareFunction(operator.suffix,{defaultType: \"string\",invert: operator.prefix === \"!\"});\n\tindexes = indexes.sort(function(a,b) {\n\t\treturn compareFn(sortKeys[a],sortKeys[b]);\n\t});\n\t// Make the results array in order\n\tvar results = [];\n\t$tw.utils.each(indexes,function(index) {\n\t\tresults.push(inputTitles[index]);\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/splitbefore.js": {
            "title": "$:/core/modules/filters/splitbefore.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/splitbefore.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that splits each result on the first occurance of the specified separator and returns the unique values.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.splitbefore = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar parts = title.split(operator.operand);\n\t\tif(parts.length === 1) {\n\t\t\t$tw.utils.pushTop(results,parts[0]);\n\t\t} else {\n\t\t\t$tw.utils.pushTop(results,parts[0] + operator.operand);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/storyviews.js": {
            "title": "$:/core/modules/filters/storyviews.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/storyviews.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the story views in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.storyviews = function(source,operator,options) {\n\tvar results = [],\n\t\tstoryviews = {};\n\t$tw.modules.applyMethods(\"storyview\",storyviews);\n\t$tw.utils.each(storyviews,function(info,name) {\n\t\tresults.push(name);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/strings.js": {
            "title": "$:/core/modules/filters/strings.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/strings.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for strings. Unary/binary operators work on each item in turn, and return a new item list.\n\nSum/product/maxall/minall operate on the entire list, returning a single item.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.length = makeStringBinaryOperator(\n\tfunction(a) {return [\"\" + (\"\" + a).length];}\n);\n\nexports.uppercase = makeStringBinaryOperator(\n\tfunction(a) {return [(\"\" + a).toUpperCase()];}\n);\n\nexports.lowercase = makeStringBinaryOperator(\n\tfunction(a) {return [(\"\" + a).toLowerCase()];}\n);\n\nexports.sentencecase = makeStringBinaryOperator(\n\tfunction(a) {return [$tw.utils.toSentenceCase(a)];}\n);\n\nexports.titlecase = makeStringBinaryOperator(\n\tfunction(a) {return [$tw.utils.toTitleCase(a)];}\n);\n\nexports.trim = function(source,operator,options) {\n\tvar result = [],\n\t\tsuffix = operator.suffix || \"\",\n\t\toperand = (operator.operand || \"\"),\n\t\tfnCalc;\n\tif(suffix === \"prefix\") {\n\t\tfnCalc = function(a,b) {return [$tw.utils.trimPrefix(a,b)];}\n\t} else if(suffix === \"suffix\") {\n\t\tfnCalc = function(a,b) {return [$tw.utils.trimSuffix(a,b)];}\n\t} else {\n\t\tif(operand === \"\") {\n\t\t\tfnCalc = function(a) {return [$tw.utils.trim(a)];}\n\t\t} else {\n\t\t\tfnCalc = function(a,b) {return [$tw.utils.trimSuffix($tw.utils.trimPrefix(a,b),b)];}\n\t\t}\n\t}\n\tsource(function(tiddler,title) {\n\t\tArray.prototype.push.apply(result,fnCalc(title,operand));\n\t});\n\treturn result;\n};\n\nexports.split = makeStringBinaryOperator(\n\tfunction(a,b) {return (\"\" + a).split(b);}\n);\n\nexports[\"enlist-input\"] = makeStringBinaryOperator(\n\tfunction(a,o,s) {return $tw.utils.parseStringArray(\"\" + a,(s === \"raw\"));}\n);\n\nexports.join = makeStringReducingOperator(\n\tfunction(accumulator,value,operand) {\n\t\tif(accumulator === null) {\n\t\t\treturn value;\n\t\t} else {\n\t\t\treturn accumulator + operand + value;\n\t\t}\n\t},null\n);\n\nfunction makeStringBinaryOperator(fnCalc) {\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tArray.prototype.push.apply(result,fnCalc(title,operator.operand || \"\",operator.suffix || \"\"));\n\t\t});\n\t\treturn result;\n\t};\n}\n\nfunction makeStringReducingOperator(fnCalc,initialValue) {\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push(title);\n\t\t});\n\t\tif(result.length === 0) {\n\t\t\treturn [];\n\t\t}\n\t\treturn [result.reduce(function(accumulator,currentValue) {\n\t\t\treturn fnCalc(accumulator,currentValue,operator.operand || \"\");\n\t\t},initialValue) || \"\"];\n\t};\n}\n\nexports.splitregexp = function(source,operator,options) {\n\tvar result = [],\n\t\tsuffix = operator.suffix || \"\",\n\t\tflags = (suffix.indexOf(\"m\") !== -1 ? \"m\" : \"\") + (suffix.indexOf(\"i\") !== -1 ? \"i\" : \"\"),\n\t\tregExp;\n\ttry {\n\t\tregExp = new RegExp(operator.operand || \"\",flags);\t\t\n\t} catch(ex) {\n\t\treturn [\"RegExp error: \" + ex];\n\t}\n\tsource(function(tiddler,title) {\n\t\tArray.prototype.push.apply(result,title.split(regExp));\n\t});\t\t\n\treturn result;\n};\n\nexports[\"search-replace\"] = function(source,operator,options) {\n\tvar results = [],\n\t\tsuffixes = operator.suffixes || [],\n\t\tflagSuffix = (suffixes[0] ? (suffixes[0][0] || \"\") : \"\"),\n\t\tflags = (flagSuffix.indexOf(\"g\") !== -1 ? \"g\" : \"\") + (flagSuffix.indexOf(\"i\") !== -1 ? \"i\" : \"\"),\n\t\tisRegExp = (suffixes[1] && suffixes[1][0] === \"regexp\") ? true : false,\n\t\tsearchTerm,\n\t\tregExp;\n\t\n\tsource(function(tiddler,title) {\n\t\tif(title && (operator.operands.length > 1)) {\n\t\t\t//Escape regexp characters if the operand is not a regular expression\n\t\t\tsearchTerm = isRegExp ? operator.operand : $tw.utils.escapeRegExp(operator.operand);\n\t\t\ttry {\n\t\t\t\tregExp = new RegExp(searchTerm,flags);\n\t\t\t} catch(ex) {\n\t\t\t\treturn [\"RegExp error: \" + ex];\n\t\t\t}\n\t\t\tresults.push(\n\t\t\t\ttitle.replace(regExp,operator.operands[1])\n\t\t\t);\n\t\t} else {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\nexports.pad = function(source,operator,options) {\n\tvar results = [],\n\t\ttargetLength = operator.operand ? parseInt(operator.operand) : 0,\n\t\tfill = operator.operands[1] || \"0\";\n\n\tsource(function(tiddler,title) {\n\t\tif(title && title.length) {\n\t\t\tif(title.length >= targetLength) {\n\t\t\t\tresults.push(title);\n\t\t\t} else {\n\t\t\t\tvar padString = \"\",\n\t\t\t\t\tpadStringLength = targetLength - title.length;\n\t\t\t\twhile (padStringLength > padString.length) {\n\t\t\t\t\tpadString += fill;\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\t//make sure we do not exceed the specified length\n\t\t\t\tpadString = padString.slice(0,padStringLength);\n\t\t\t\tif(operator.suffix && (operator.suffix === \"suffix\")) {\n\t\t\t\t\ttitle = title + padString;\n\t\t\t\t} else {\n\t\t\t\t\ttitle = padString + title;\n\t\t\t\t}\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n}\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/subfilter.js": {
            "title": "$:/core/modules/filters/subfilter.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/subfilter.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning its operand evaluated as a filter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.subfilter = function(source,operator,options) {\n\tvar list = options.wiki.filterTiddlers(operator.operand,options.widget,source);\n\tif(operator.prefix === \"!\") {\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t\treturn results;\n\t} else {\n\t\treturn list;\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/subtiddlerfields.js": {
            "title": "$:/core/modules/filters/subtiddlerfields.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/subtiddlerfields.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the fields on the selected subtiddlers of the plugin named in the operand\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.subtiddlerfields = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar subtiddler = options.wiki.getSubTiddler(operator.operand,title);\n\t\tif(subtiddler) {\n\t\t\tfor(var fieldName in subtiddler.fields) {\n\t\t\t\t$tw.utils.pushTop(results,fieldName);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/suffix.js": {
            "title": "$:/core/modules/filters/suffix.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/suffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title ends with a suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.suffix = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(-operator.operand.length) !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(-operator.operand.length) === operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/tag.js": {
            "title": "$:/core/modules/filters/tag.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/tag.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking for the presence of a tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tag = function(source,operator,options) {\n\tvar results = [],indexedResults;\n\tif((operator.suffix || \"\").toLowerCase() === \"strict\" && !operator.operand) {\n\t\t// New semantics:\n\t\t// Always return copy of input if operator.operand is missing\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t} else {\n\t\t// Old semantics:\n\t\tvar tiddlers;\n\t\tif(operator.prefix === \"!\") {\n\t\t\t// Returns a copy of the input if operator.operand is missing\n\t\t\ttiddlers = options.wiki.getTiddlersWithTag(operator.operand);\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddlers.indexOf(title) === -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\t// Returns empty results if operator.operand is missing\n\t\t\tif(source.byTag) {\n\t\t\t\tindexedResults = source.byTag(operator.operand);\n\t\t\t\tif(indexedResults) {\n\t\t\t\t\treturn indexedResults;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ttiddlers = options.wiki.getTiddlersWithTag(operator.operand);\n\t\t\t\tsource(function(tiddler,title) {\n\t\t\t\t\tif(tiddlers.indexOf(title) !== -1) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tresults = options.wiki.sortByList(results,operator.operand);\n\t\t\t}\n\t\t}\t\t\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/tagging.js": {
            "title": "$:/core/modules/filters/tagging.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/tagging.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all tiddlers that are tagged with the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tagging = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlersWithTag(title));\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/tags.js": {
            "title": "$:/core/modules/filters/tags.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/tags.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all the tags of the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tags = function(source,operator,options) {\n\tvar tags = {};\n\tsource(function(tiddler,title) {\n\t\tvar t, length;\n\t\tif(tiddler && tiddler.fields.tags) {\n\t\t\tfor(t=0, length=tiddler.fields.tags.length; t<length; t++) {\n\t\t\t\ttags[tiddler.fields.tags[t]] = true;\n\t\t\t}\n\t\t}\n\t});\n\treturn Object.keys(tags);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/then.js": {
            "title": "$:/core/modules/filters/then.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/then.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing any titles with a constant\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.then = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(operator.operand);\n\t});\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/title.js": {
            "title": "$:/core/modules/filters/title.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/title.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for comparing title fields for equality\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.title = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields.title !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tresults.push(operator.operand);\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/untagged.js": {
            "title": "$:/core/modules/filters/untagged.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/untagged.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all the selected tiddlers that are untagged\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.untagged = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && $tw.utils.isArray(tiddler.fields.tags) && tiddler.fields.tags.length > 0) {\n\t\t\t\t$tw.utils.pushTop(results,title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!tiddler || !tiddler.hasField(\"tags\") || ($tw.utils.isArray(tiddler.fields.tags) && tiddler.fields.tags.length === 0)) {\n\t\t\t\t$tw.utils.pushTop(results,title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/variables.js": {
            "title": "$:/core/modules/filters/variables.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/variables.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the active variables\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.variables = function(source,operator,options) {\n\tvar names = [];\n\tfor(var variable in options.widget.variables) {\n\t\tnames.push(variable);\n\t}\n\treturn names.sort();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/wikiparserrules.js": {
            "title": "$:/core/modules/filters/wikiparserrules.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/wikiparserrules.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the wiki parser rules in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.wikiparserrules = function(source,operator,options) {\n\tvar results = [],\n\t\toperand = operator.operand;\n\t$tw.utils.each($tw.modules.types.wikirule,function(mod) {\n\t\tvar exp = mod.exports;\n\t\tif(!operand || exp.types[operand]) {\n\t\t\tresults.push(exp.name);\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters/x-listops.js": {
            "title": "$:/core/modules/filters/x-listops.js",
            "text": "/*\\\ntitle: $:/core/modules/filters/x-listops.js\ntype: application/javascript\nmodule-type: filteroperator\n\nExtended filter operators to manipulate the current list.\n\n\\*/\n(function () {\n\n\t/*jslint node: true, browser: true */\n\t/*global $tw: false */\n\t\"use strict\";\n\n\t/*\n\tFetch titles from the current list\n\t*/\n\tvar prepare_results = function (source) {\n\tvar results = [];\n\t\tsource(function (tiddler, title) {\n\t\t\tresults.push(title);\n\t\t});\n\t\treturn results;\n\t};\n\n\t/*\n\tMoves a number of items from the tail of the current list before the item named in the operand\n\t*/\n\texports.putbefore = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tindex = results.indexOf(operator.operand),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,1);\n\t\treturn (index === -1) ?\n\t\t\tresults.slice(0, -1) :\n\t\t\tresults.slice(0, index).concat(results.slice(-count)).concat(results.slice(index, -count));\n\t};\n\n\t/*\n\tMoves a number of items from the tail of the current list after the item named in the operand\n\t*/\n\texports.putafter = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tindex = results.indexOf(operator.operand),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,1);\n\t\treturn (index === -1) ?\n\t\t\tresults.slice(0, -1) :\n\t\t\tresults.slice(0, index + 1).concat(results.slice(-count)).concat(results.slice(index + 1, -count));\n\t};\n\n\t/*\n\tReplaces the item named in the operand with a number of items from the tail of the current list\n\t*/\n\texports.replace = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tindex = results.indexOf(operator.operand),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,1);\n\t\treturn (index === -1) ?\n\t\t\tresults.slice(0, -count) :\n\t\t\tresults.slice(0, index).concat(results.slice(-count)).concat(results.slice(index + 1, -count));\n\t};\n\n\t/*\n\tMoves a number of items from the tail of the current list to the head of the list\n\t*/\n\texports.putfirst = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,1);\n\t\treturn results.slice(-count).concat(results.slice(0, -count));\n\t};\n\n\t/*\n\tMoves a number of items from the head of the current list to the tail of the list\n\t*/\n\texports.putlast = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,1);\n\t\treturn results.slice(count).concat(results.slice(0, count));\n\t};\n\n\t/*\n\tMoves the item named in the operand a number of places forward or backward in the list\n\t*/\n\texports.move = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tindex = results.indexOf(operator.operand),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,1),\n\t\t\tmarker = results.splice(index, 1),\n\t\t\toffset =  (index + count) > 0 ? index + count : 0;\n\t\treturn results.slice(0, offset).concat(marker).concat(results.slice(offset));\n\t};\n\n\t/*\n\tReturns the items from the current list that are after the item named in the operand\n\t*/\n\texports.allafter = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tindex = results.indexOf(operator.operand);\n\t\treturn (index === -1) ? [] :\n\t\t\t(operator.suffix) ? results.slice(index) :\n\t\t\tresults.slice(index + 1);\n\t};\n\n\t/*\n\tReturns the items from the current list that are before the item named in the operand\n\t*/\n\texports.allbefore = function (source, operator) {\n\t\tvar results = prepare_results(source),\n\t\t\tindex = results.indexOf(operator.operand);\n\t\treturn (index === -1) ? [] :\n\t\t\t(operator.suffix) ? results.slice(0, index + 1) :\n\t\t\tresults.slice(0, index);\n\t};\n\n\t/*\n\tAppends the items listed in the operand array to the tail of the current list\n\t*/\n\texports.append = function (source, operator) {\n\t\tvar append = $tw.utils.parseStringArray(operator.operand, \"true\"),\n\t\t\tresults = prepare_results(source),\n\t\t\tcount = parseInt(operator.suffix) || append.length;\n\t\treturn (append.length === 0) ? results :\n\t\t\t(operator.prefix) ? results.concat(append.slice(-count)) :\n\t\t\tresults.concat(append.slice(0, count));\n\t};\n\n\t/*\n\tPrepends the items listed in the operand array to the head of the current list\n\t*/\n\texports.prepend = function (source, operator) {\n\t\tvar prepend = $tw.utils.parseStringArray(operator.operand, \"true\"),\n\t\t\tresults = prepare_results(source),\n\t\t\tcount = $tw.utils.getInt(operator.suffix,prepend.length);\n\t\treturn (prepend.length === 0) ? results :\n\t\t\t(operator.prefix) ? prepend.slice(-count).concat(results) :\n\t\t\tprepend.slice(0, count).concat(results);\n\t};\n\n\t/*\n\tReturns all items from the current list except the items listed in the operand array\n\t*/\n\texports.remove = function (source, operator) {\n\t\tvar array = $tw.utils.parseStringArray(operator.operand, \"true\"),\n\t\t\tresults = prepare_results(source),\n\t\t\tcount = parseInt(operator.suffix) || array.length,\n\t\t\tp,\n\t\t\tlen,\n\t\t\tindex;\n\t\tlen = array.length - 1;\n\t\tfor (p = 0; p < count; ++p) {\n\t\t\tif (operator.prefix) {\n\t\t\t\tindex = results.indexOf(array[len - p]);\n\t\t\t} else {\n\t\t\t\tindex = results.indexOf(array[p]);\n\t\t\t}\n\t\t\tif (index !== -1) {\n\t\t\t\tresults.splice(index, 1);\n\t\t\t}\n\t\t}\n\t\treturn results;\n\t};\n\n\t/*\n\tReturns all items from the current list sorted in the order of the items in the operand array\n\t*/\n\texports.sortby = function (source, operator) {\n\t\tvar results = prepare_results(source);\n\t\tif (!results || results.length < 2) {\n\t\t\treturn results;\n\t\t}\n\t\tvar lookup = $tw.utils.parseStringArray(operator.operand, \"true\");\n\t\tresults.sort(function (a, b) {\n\t\t\treturn lookup.indexOf(a) - lookup.indexOf(b);\n\t\t});\n\t\treturn results;\n\t};\n\n\t/*\n\tRemoves all duplicate items from the current list\n\t*/\n\texports.unique = function (source, operator) {\n\t\tvar results = prepare_results(source);\n\t\tvar set = results.reduce(function (a, b) {\n\t\t\tif (a.indexOf(b) < 0) {\n\t\t\t\ta.push(b);\n\t\t\t}\n\t\t\treturn a;\n\t\t}, []);\n\t\treturn set;\n\t};\n\n\tvar cycleValueInArray = function(results,operands,stepSize) {\n\t\tvar resultsIndex,\n\t\t\tstep = stepSize || 1,\n\t\t\ti = 0,\n\t\t\topLength = operands.length,\n\t\t\tnextOperandIndex;\t\t\n\t\tfor(i; i < opLength; i++) {\n\t\t\tresultsIndex = results.indexOf(operands[i]);\n\t\t\tif(resultsIndex !== -1) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t\tif(resultsIndex !== -1) {\n\t\t\ti = i + step;\n\t\t\tnextOperandIndex = (i < opLength ? i : i - opLength);\n\t\t\tif(operands.length > 1) {\n\t\t\t\tresults.splice(resultsIndex,1,operands[nextOperandIndex]);\n\t\t\t} else {\n\t\t\t\tresults.splice(resultsIndex,1);\n\t\t\t}\n\t\t} else {\n\t\t\tresults.push(operands[0]);\n\t\t}\n\t\treturn results;\t\t\n\t}\n\n\t/*\n\tToggles an item in the current list.\n\t*/\t\n\texports.toggle = function(source,operator) {\n\t\treturn cycleValueInArray(prepare_results(source),operator.operands);\n\t}\n\n\texports.cycle = function(source,operator) {\n\t\tvar results = prepare_results(source),\n\t\t\toperands = (operator.operand.length ? $tw.utils.parseStringArray(operator.operand, \"true\") : [\"\"]),\n\t\t\tstep = $tw.utils.getInt(operator.operands[1]||\"\",1);\n\t\tif(step < 0) {\n\t\t\toperands.reverse();\n\t\t\tstep = Math.abs(step);\n\t\t}\t\n\t\treturn cycleValueInArray(results,operands,step);\n\t}\n\t\n})();\n",
            "type": "application/javascript",
            "module-type": "filteroperator"
        },
        "$:/core/modules/filters.js": {
            "title": "$:/core/modules/filters.js",
            "text": "/*\\\ntitle: $:/core/modules/filters.js\ntype: application/javascript\nmodule-type: wikimethod\n\nAdds tiddler filtering methods to the $tw.Wiki object.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParses an operation (i.e. a run) within a filter string\n\toperators: Array of array of operator nodes into which results should be inserted\n\tfilterString: filter string\n\tp: start position within the string\nReturns the new start position, after the parsed operation\n*/\nfunction parseFilterOperation(operators,filterString,p) {\n\tvar nextBracketPos, operator;\n\t// Skip the starting square bracket\n\tif(filterString.charAt(p++) !== \"[\") {\n\t\tthrow \"Missing [ in filter expression\";\n\t}\n\t// Process each operator in turn\n\tdo {\n\t\toperator = {};\n\t\t// Check for an operator prefix\n\t\tif(filterString.charAt(p) === \"!\") {\n\t\t\toperator.prefix = filterString.charAt(p++);\n\t\t}\n\t\t// Get the operator name\n\t\tnextBracketPos = filterString.substring(p).search(/[\\[\\{<\\/]/);\n\t\tif(nextBracketPos === -1) {\n\t\t\tthrow \"Missing [ in filter expression\";\n\t\t}\n\t\tnextBracketPos += p;\n\t\tvar bracket = filterString.charAt(nextBracketPos);\n\t\toperator.operator = filterString.substring(p,nextBracketPos);\n\t\t// Any suffix?\n\t\tvar colon = operator.operator.indexOf(':');\n\t\tif(colon > -1) {\n\t\t\t// The raw suffix for older filters\n\t\t\toperator.suffix = operator.operator.substring(colon + 1);\n\t\t\toperator.operator = operator.operator.substring(0,colon) || \"field\";\n\t\t\t// The processed suffix for newer filters\n\t\t\toperator.suffixes = [];\n\t\t\t$tw.utils.each(operator.suffix.split(\":\"),function(subsuffix) {\n\t\t\t\toperator.suffixes.push([]);\n\t\t\t\t$tw.utils.each(subsuffix.split(\",\"),function(entry) {\n\t\t\t\t\tentry = $tw.utils.trim(entry);\n\t\t\t\t\tif(entry) {\n\t\t\t\t\t\toperator.suffixes[operator.suffixes.length - 1].push(entry); \n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t});\n\t\t}\n\t\t// Empty operator means: title\n\t\telse if(operator.operator === \"\") {\n\t\t\toperator.operator = \"title\";\n\t\t}\n\t\toperator.operands = [];\n\t\tfunction parseOperand(bracketType) {\n\t\t\tvar operand = {};\n\t\t\tswitch (bracketType) {\n\t\t\t\tcase \"{\": // Curly brackets\n\t\t\t\t\toperand.indirect = true;\n\t\t\t\t\tnextBracketPos = filterString.indexOf(\"}\",p);\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"[\": // Square brackets\n\t\t\t\t\tnextBracketPos = filterString.indexOf(\"]\",p);\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"<\": // Angle brackets\n\t\t\t\t\toperand.variable = true;\n\t\t\t\t\tnextBracketPos = filterString.indexOf(\">\",p);\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"/\": // regexp brackets\n\t\t\t\t\tvar rex = /^((?:[^\\\\\\/]*|\\\\.)*)\\/(?:\\(([mygi]+)\\))?/g,\n\t\t\t\t\t\trexMatch = rex.exec(filterString.substring(p));\n\t\t\t\t\tif(rexMatch) {\n\t\t\t\t\t\toperator.regexp = new RegExp(rexMatch[1], rexMatch[2]);\n\t// DEPRECATION WARNING\n\tconsole.log(\"WARNING: Filter\",operator.operator,\"has a deprecated regexp operand\",operator.regexp);\n\t\t\t\t\t\tnextBracketPos = p + rex.lastIndex - 1;\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tthrow \"Unterminated regular expression in filter expression\";\n\t\t\t\t\t}\n\t\t\t\t\tbreak;\n\t\t\t}\n\n\t\t\tif(nextBracketPos === -1) {\n\t\t\t\tthrow \"Missing closing bracket in filter expression\";\n\t\t\t}\n\t\t\tif(!operator.regexp) {\n\t\t\t\toperand.text = filterString.substring(p,nextBracketPos);\n\t\t\t\toperator.operands.push(operand);\n\t\t\t}\n\t\t\tp = nextBracketPos + 1;\n\t\t}\n\t\t\n\t\tp = nextBracketPos + 1;\n\t\tparseOperand(bracket);\n\t\t\n\t\t// Check for multiple operands\n\t\twhile(filterString.charAt(p) === \",\") {\n\t\t\tp++;\n\t\t\tif(/^[\\[\\{<\\/]/.test(filterString.substring(p))) {\n\t\t\t\tnextBracketPos = p;\n\t\t\t\tp++;\n\t\t\t\tparseOperand(filterString.charAt(nextBracketPos));\n\t\t\t} else {\n\t\t\t\tthrow \"Missing [ in filter expression\";\n\t\t\t}\n\t\t}\n\t\t\n\t\t// Push this operator\n\t\toperators.push(operator);\n\t} while(filterString.charAt(p) !== \"]\");\n\t// Skip the ending square bracket\n\tif(filterString.charAt(p++) !== \"]\") {\n\t\tthrow \"Missing ] in filter expression\";\n\t}\n\t// Return the parsing position\n\treturn p;\n}\n\n/*\nParse a filter string\n*/\nexports.parseFilter = function(filterString) {\n\tfilterString = filterString || \"\";\n\tvar results = [], // Array of arrays of operator nodes {operator:,operand:}\n\t\tp = 0, // Current position in the filter string\n\t\tmatch;\n\tvar whitespaceRegExp = /(\\s+)/mg,\n\t\toperandRegExp = /((?:\\+|\\-|~|=|\\:(\\w+))?)(?:(\\[)|(?:\"([^\"]*)\")|(?:'([^']*)')|([^\\s\\[\\]]+))/mg;\n\twhile(p < filterString.length) {\n\t\t// Skip any whitespace\n\t\twhitespaceRegExp.lastIndex = p;\n\t\tmatch = whitespaceRegExp.exec(filterString);\n\t\tif(match && match.index === p) {\n\t\t\tp = p + match[0].length;\n\t\t}\n\t\t// Match the start of the operation\n\t\tif(p < filterString.length) {\n\t\t\toperandRegExp.lastIndex = p;\n\t\t\tmatch = operandRegExp.exec(filterString);\n\t\t\tif(!match || match.index !== p) {\n\t\t\t\tthrow $tw.language.getString(\"Error/FilterSyntax\");\n\t\t\t}\n\t\t\tvar operation = {\n\t\t\t\tprefix: \"\",\n\t\t\t\toperators: []\n\t\t\t};\n\t\t\tif(match[1]) {\n\t\t\t\toperation.prefix = match[1];\n\t\t\t\tp = p + operation.prefix.length;\n\t\t\t\tif(match[2]) {\n\t\t\t\t\toperation.namedPrefix = match[2];\n\t\t\t\t}\n\t\t\t}\n\t\t\tif(match[3]) { // Opening square bracket\n\t\t\t\tp = parseFilterOperation(operation.operators,filterString,p);\n\t\t\t} else {\n\t\t\t\tp = match.index + match[0].length;\n\t\t\t}\n\t\t\tif(match[4] || match[5] || match[6]) { // Double quoted string, single quoted string or unquoted title\n\t\t\t\toperation.operators.push(\n\t\t\t\t\t{operator: \"title\", operands: [{text: match[4] || match[5] || match[6]}]}\n\t\t\t\t);\n\t\t\t}\n\t\t\tresults.push(operation);\n\t\t}\n\t}\n\treturn results;\n};\n\nexports.getFilterOperators = function() {\n\tif(!this.filterOperators) {\n\t\t$tw.Wiki.prototype.filterOperators = {};\n\t\t$tw.modules.applyMethods(\"filteroperator\",this.filterOperators);\n\t}\n\treturn this.filterOperators;\n};\n\nexports.getFilterRunPrefixes = function() {\n\tif(!this.filterRunPrefixes) {\n\t\t$tw.Wiki.prototype.filterRunPrefixes = {};\n\t\t$tw.modules.applyMethods(\"filterrunprefix\",this.filterRunPrefixes);\n\t}\n\treturn this.filterRunPrefixes;\n}\n\nexports.filterTiddlers = function(filterString,widget,source) {\n\tvar fn = this.compileFilter(filterString);\n\treturn fn.call(this,source,widget);\n};\n\n/*\nCompile a filter into a function with the signature fn(source,widget) where:\nsource: an iterator function for the source tiddlers, called source(iterator), where iterator is called as iterator(tiddler,title)\nwidget: an optional widget node for retrieving the current tiddler etc.\n*/\nexports.compileFilter = function(filterString) {\n\tvar filterParseTree;\n\ttry {\n\t\tfilterParseTree = this.parseFilter(filterString);\n\t} catch(e) {\n\t\treturn function(source,widget) {\n\t\t\treturn [$tw.language.getString(\"Error/Filter\") + \": \" + e];\n\t\t};\n\t}\n\t// Get the hashmap of filter operator functions\n\tvar filterOperators = this.getFilterOperators();\n\t// Assemble array of functions, one for each operation\n\tvar operationFunctions = [];\n\t// Step through the operations\n\tvar self = this;\n\t$tw.utils.each(filterParseTree,function(operation) {\n\t\t// Create a function for the chain of operators in the operation\n\t\tvar operationSubFunction = function(source,widget) {\n\t\t\tvar accumulator = source,\n\t\t\t\tresults = [],\n\t\t\t\tcurrTiddlerTitle = widget && widget.getVariable(\"currentTiddler\");\n\t\t\t$tw.utils.each(operation.operators,function(operator) {\n\t\t\t\tvar operands = [],\n\t\t\t\t\toperatorFunction;\n\t\t\t\tif(!operator.operator) {\n\t\t\t\t\toperatorFunction = filterOperators.title;\n\t\t\t\t} else if(!filterOperators[operator.operator]) {\n\t\t\t\t\toperatorFunction = filterOperators.field;\n\t\t\t\t} else {\n\t\t\t\t\toperatorFunction = filterOperators[operator.operator];\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\t$tw.utils.each(operator.operands,function(operand) {\n\t\t\t\t\tif(operand.indirect) {\n\t\t\t\t\t\toperand.value = self.getTextReference(operand.text,\"\",currTiddlerTitle);\n\t\t\t\t\t} else if(operand.variable) {\n\t\t\t\t\t\toperand.value = widget.getVariable(operand.text,{defaultValue: \"\"});\n\t\t\t\t\t} else {\n\t\t\t\t\t\toperand.value = operand.text;\n\t\t\t\t\t}\n\t\t\t\t\toperands.push(operand.value);\n\t\t\t\t});\n\n\t\t\t\t// Invoke the appropriate filteroperator module\n\t\t\t\tresults = operatorFunction(accumulator,{\n\t\t\t\t\t\t\toperator: operator.operator,\n\t\t\t\t\t\t\toperand: operands.length > 0 ? operands[0] : undefined,\n\t\t\t\t\t\t\toperands: operands,\n\t\t\t\t\t\t\tprefix: operator.prefix,\n\t\t\t\t\t\t\tsuffix: operator.suffix,\n\t\t\t\t\t\t\tsuffixes: operator.suffixes,\n\t\t\t\t\t\t\tregexp: operator.regexp\n\t\t\t\t\t\t},{\n\t\t\t\t\t\t\twiki: self,\n\t\t\t\t\t\t\twidget: widget\n\t\t\t\t\t\t});\n\t\t\t\tif($tw.utils.isArray(results)) {\n\t\t\t\t\taccumulator = self.makeTiddlerIterator(results);\n\t\t\t\t} else {\n\t\t\t\t\taccumulator = results;\n\t\t\t\t}\n\t\t\t});\n\t\t\tif($tw.utils.isArray(results)) {\n\t\t\t\treturn results;\n\t\t\t} else {\n\t\t\t\tvar resultArray = [];\n\t\t\t\tresults(function(tiddler,title) {\n\t\t\t\t\tresultArray.push(title);\n\t\t\t\t});\n\t\t\t\treturn resultArray;\n\t\t\t}\n\t\t};\n\t\tvar filterRunPrefixes = self.getFilterRunPrefixes();\n\t\t// Wrap the operator functions in a wrapper function that depends on the prefix\n\t\toperationFunctions.push((function() {\n\t\t\tvar options = {wiki: self};\n\t\t\tswitch(operation.prefix || \"\") {\n\t\t\t\tcase \"\": // No prefix means that the operation is unioned into the result\n\t\t\t\t\treturn filterRunPrefixes[\"or\"](operationSubFunction, options);\n\t\t\t\tcase \"=\": // The results of the operation are pushed into the result without deduplication\n\t\t\t\t\treturn filterRunPrefixes[\"all\"](operationSubFunction, options);\n\t\t\t\tcase \"-\": // The results of this operation are removed from the main result\n\t\t\t\t\treturn filterRunPrefixes[\"except\"](operationSubFunction, options);\n\t\t\t\tcase \"+\": // This operation is applied to the main results so far\n\t\t\t\t\treturn filterRunPrefixes[\"and\"](operationSubFunction, options);\n\t\t\t\tcase \"~\": // This operation is unioned into the result only if the main result so far is empty\n\t\t\t\t\treturn filterRunPrefixes[\"else\"](operationSubFunction, options);\n\t\t\t\tdefault: \n\t\t\t\t\tif(operation.namedPrefix && filterRunPrefixes[operation.namedPrefix]) {\n\t\t\t\t\t\treturn filterRunPrefixes[operation.namedPrefix](operationSubFunction, options);\n\t\t\t\t\t} else {\n\t\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t\tresults.clear();\n\t\t\t\t\t\t\tresults.push($tw.language.getString(\"Error/FilterRunPrefix\"));\n\t\t\t\t\t\t};\n\t\t\t\t\t}\n\t\t\t}\n\t\t})());\n\t});\n\t// Return a function that applies the operations to a source iterator of tiddler titles\n\treturn $tw.perf.measure(\"filter: \" + filterString,function filterFunction(source,widget) {\n\t\tif(!source) {\n\t\t\tsource = self.each;\n\t\t} else if(typeof source === \"object\") { // Array or hashmap\n\t\t\tsource = self.makeTiddlerIterator(source);\n\t\t}\n\t\tvar results = new $tw.utils.LinkedList();\n\t\t$tw.utils.each(operationFunctions,function(operationFunction) {\n\t\t\toperationFunction(results,source,widget);\n\t\t});\n\t\treturn results.toArray();\n\t});\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikimethod"
        },
        "$:/core/modules/indexers/backlinks-indexer.js": {
            "title": "$:/core/modules/indexers/backlinks-indexer.js",
            "text": "/*\\\ntitle: $:/core/modules/indexers/backlinks-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers' backlinks\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\n\nfunction BacklinksIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nBacklinksIndexer.prototype.init = function() {\n\tthis.index = null;\n}\n\nBacklinksIndexer.prototype.rebuild = function() {\n\tthis.index = null;\n}\n\nBacklinksIndexer.prototype._getLinks = function(tiddler) {\n\tvar parser =  this.wiki.parseText(tiddler.fields.type, tiddler.fields.text, {});\n\tif(parser) {\n\t\treturn this.wiki.extractLinks(parser.tree);\n\t}\n\treturn [];\n}\n\nBacklinksIndexer.prototype.update = function(updateDescriptor) {\n\tif(!this.index) {\n\t\treturn;\n\t}\n\tvar newLinks = [],\n\t    oldLinks = [],\n\t    self = this;\n\tif(updateDescriptor.old.exists) {\n\t\toldLinks = this._getLinks(updateDescriptor.old.tiddler);\n\t}\n\tif(updateDescriptor.new.exists) {\n\t\tnewLinks = this._getLinks(updateDescriptor.new.tiddler);\n\t}\n\n\t$tw.utils.each(oldLinks,function(link) {\n\t\tif(self.index[link]) {\n\t\t\tdelete self.index[link][updateDescriptor.old.tiddler.fields.title];\n\t\t}\n\t});\n\t$tw.utils.each(newLinks,function(link) {\n\t\tif(!self.index[link]) {\n\t\t\tself.index[link] = Object.create(null);\n\t\t}\n\t\tself.index[link][updateDescriptor.new.tiddler.fields.title] = true;\n\t});\n}\n\nBacklinksIndexer.prototype.lookup = function(title) {\n\tif(!this.index) {\n\t\tthis.index = Object.create(null);\n\t\tvar self = this;\n\t\tthis.wiki.forEachTiddler(function(title,tiddler) {\n\t\t\tvar links = self._getLinks(tiddler);\n\t\t\t$tw.utils.each(links, function(link) {\n\t\t\t\tif(!self.index[link]) {\n\t\t\t\t\tself.index[link] = Object.create(null);\n\t\t\t\t}\n\t\t\t\tself.index[link][title] = true;\n\t\t\t});\n\t\t});\n\t}\n\tif(this.index[title]) {\n\t\treturn Object.keys(this.index[title]);\n\t} else {\n\t\treturn [];\n\t}\n}\n\nexports.BacklinksIndexer = BacklinksIndexer;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "indexer"
        },
        "$:/core/modules/indexers/field-indexer.js": {
            "title": "$:/core/modules/indexers/field-indexer.js",
            "text": "/*\\\ntitle: $:/core/modules/indexers/field-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers with each field value\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\nvar DEFAULT_MAXIMUM_INDEXED_VALUE_LENGTH = 128;\n\nfunction FieldIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nFieldIndexer.prototype.init = function() {\n\tthis.index = null;\n\tthis.maxIndexedValueLength = DEFAULT_MAXIMUM_INDEXED_VALUE_LENGTH;\n\tthis.addIndexMethods();\n}\n\n// Provided for testing\nFieldIndexer.prototype.setMaxIndexedValueLength = function(length) {\n\tthis.index = null;\n\tthis.maxIndexedValueLength = length;\n};\n\nFieldIndexer.prototype.addIndexMethods = function() {\n\tvar self = this;\n\tthis.wiki.each.byField = function(name,value) {\n\t\tvar titles = self.wiki.allTitles(),\n\t\t\tlookup = self.lookup(name,value);\n\t\treturn lookup && lookup.filter(function(title) {\n\t\t\treturn titles.indexOf(title) !== -1;\n\t\t});\n\t};\n\tthis.wiki.eachShadow.byField = function(name,value) {\n\t\tvar titles = self.wiki.allShadowTitles(),\n\t\t\tlookup = self.lookup(name,value);\n\t\treturn lookup && lookup.filter(function(title) {\n\t\t\treturn titles.indexOf(title) !== -1;\n\t\t});\n\t};\n\tthis.wiki.eachTiddlerPlusShadows.byField = function(name,value) {\n\t\tvar lookup = self.lookup(name,value);\n\t\treturn lookup ? lookup.slice(0) : null;\n\t};\n\tthis.wiki.eachShadowPlusTiddlers.byField = function(name,value) {\n\t\tvar lookup = self.lookup(name,value);\n\t\treturn lookup ? lookup.slice(0) : null;\n\t};\n};\n\n/*\nTear down and then rebuild the index as if all tiddlers have changed\n*/\nFieldIndexer.prototype.rebuild = function() {\n\t// Invalidate the index so that it will be rebuilt when it is next used\n\tthis.index = null;\n};\n\n/*\nBuild the index for a particular field\n*/\nFieldIndexer.prototype.buildIndexForField = function(name) {\n\tvar self = this;\n\t// Hashmap by field name of hashmap by field value of array of tiddler titles\n\tthis.index = this.index || Object.create(null);\n\tthis.index[name] = Object.create(null);\n\tvar baseIndex = this.index[name];\n\t// Update the index for each tiddler\n\tthis.wiki.eachTiddlerPlusShadows(function(tiddler,title) {\n\t\tif(name in tiddler.fields) {\n\t\t\tvar value = tiddler.getFieldString(name);\n\t\t\t// Skip any values above the maximum length\n\t\t\tif(value.length < self.maxIndexedValueLength) {\n\t\t\t\tbaseIndex[value] = baseIndex[value] || [];\n\t\t\t\tbaseIndex[value].push(title);\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nUpdate the index in the light of a tiddler value changing; note that the title must be identical. (Renames are handled as a separate delete and create)\nupdateDescriptor: {old: {tiddler: <tiddler>, shadow: <boolean>, exists: <boolean>},new: {tiddler: <tiddler>, shadow: <boolean>, exists: <boolean>}}\n*/\nFieldIndexer.prototype.update = function(updateDescriptor) {\n\tvar self = this;\n\t// Don't do anything if the index hasn't been built yet\n\tif(this.index === null) {\n\t\treturn;\n\t}\n\t// Remove the old tiddler from the index\n\tif(updateDescriptor.old.tiddler) {\n\t\t$tw.utils.each(this.index,function(indexEntry,name) {\n\t\t\tif(name in updateDescriptor.old.tiddler.fields) {\n\t\t\t\tvar value = updateDescriptor.old.tiddler.getFieldString(name),\n\t\t\t\t\ttiddlerList = indexEntry[value];\n\t\t\t\tif(tiddlerList) {\n\t\t\t\t\tvar index = tiddlerList.indexOf(updateDescriptor.old.tiddler.fields.title);\n\t\t\t\t\tif(index !== -1) {\n\t\t\t\t\t\ttiddlerList.splice(index,1);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\t// Add the new tiddler to the index\n\tif(updateDescriptor[\"new\"].tiddler) {\n\t\t$tw.utils.each(this.index,function(indexEntry,name) {\n\t\t\tif(name in updateDescriptor[\"new\"].tiddler.fields) {\n\t\t\t\tvar value = updateDescriptor[\"new\"].tiddler.getFieldString(name);\n\t\t\t\tif(value.length < self.maxIndexedValueLength) {\n\t\t\t\t\tindexEntry[value] = indexEntry[value] || [];\n\t\t\t\t\tindexEntry[value].push(updateDescriptor[\"new\"].tiddler.fields.title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\t\t\n\t}\n};\n\n// Lookup the given field returning a list of tiddler titles\nFieldIndexer.prototype.lookup = function(name,value) {\n\t// Fail the lookup if the value is too long\n\tif(value.length >= this.maxIndexedValueLength) {\n\t\treturn null;\n\t}\n\t// Update the index if it has yet to be built\n\tif(this.index === null || !this.index[name]) {\n\t\tthis.buildIndexForField(name);\n\t}\n\treturn this.index[name][value] || [];\n};\n\nexports.FieldIndexer = FieldIndexer;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "indexer"
        },
        "$:/core/modules/indexers/tag-indexer.js": {
            "title": "$:/core/modules/indexers/tag-indexer.js",
            "text": "/*\\\ntitle: $:/core/modules/indexers/tag-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers with each tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\nfunction TagIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nTagIndexer.prototype.init = function() {\n\tthis.subIndexers = [\n\t\tnew TagSubIndexer(this,\"each\"),\n\t\tnew TagSubIndexer(this,\"eachShadow\"),\n\t\tnew TagSubIndexer(this,\"eachTiddlerPlusShadows\"),\n\t\tnew TagSubIndexer(this,\"eachShadowPlusTiddlers\")\n\t];\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.addIndexMethod();\n\t});\n};\n\nTagIndexer.prototype.rebuild = function() {\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.rebuild();\n\t});\n};\n\nTagIndexer.prototype.update = function(updateDescriptor) {\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.update(updateDescriptor);\n\t});\n};\n\nfunction TagSubIndexer(indexer,iteratorMethod) {\n\tthis.indexer = indexer;\n\tthis.iteratorMethod = iteratorMethod;\n\tthis.index = null; // Hashmap of tag title to {isSorted: bool, titles: [array]} or null if not yet initialised\n}\n\nTagSubIndexer.prototype.addIndexMethod = function() {\n\tvar self = this;\n\tthis.indexer.wiki[this.iteratorMethod].byTag = function(tag) {\n\t\treturn self.lookup(tag).slice(0);\n\t};\n};\n\nTagSubIndexer.prototype.rebuild = function() {\n\tvar self = this;\n\t// Hashmap by tag of array of {isSorted:, titles:[]}\n\tthis.index = Object.create(null);\n\t// Add all the tags\n\tthis.indexer.wiki[this.iteratorMethod](function(tiddler,title) {\n\t\t$tw.utils.each(tiddler.fields.tags,function(tag) {\n\t\t\tif(!self.index[tag]) {\n\t\t\t\tself.index[tag] = {isSorted: false, titles: [title]};\n\t\t\t} else {\n\t\t\t\tself.index[tag].titles.push(title);\n\t\t\t}\n\t\t});\t\t\n\t});\n};\n\nTagSubIndexer.prototype.update = function(updateDescriptor) {\n\tthis.index = null;\n};\n\nTagSubIndexer.prototype.lookup = function(tag) {\n\t// Update the index if it has yet to be built\n\tif(this.index === null) {\n\t\tthis.rebuild();\n\t}\n\tvar indexRecord = this.index[tag];\n\tif(indexRecord) {\n\t\tif(!indexRecord.isSorted) {\n\t\t\tif(this.indexer.wiki.sortByList) {\n\t\t\t\tindexRecord.titles = this.indexer.wiki.sortByList(indexRecord.titles,tag);\n\t\t\t}\t\t\t\n\t\t\tindexRecord.isSorted = true;\n\t\t}\n\t\treturn indexRecord.titles;\n\t} else {\n\t\treturn [];\n\t}\n};\n\n\nexports.TagIndexer = TagIndexer;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "indexer"
        },
        "$:/core/modules/info/platform.js": {
            "title": "$:/core/modules/info/platform.js",
            "text": "/*\\\ntitle: $:/core/modules/info/platform.js\ntype: application/javascript\nmodule-type: info\n\nInitialise basic platform $:/info/ tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.getInfoTiddlerFields = function(updateInfoTiddlersCallback) {\n\tvar mapBoolean = function(value) {return value ? \"yes\" : \"no\";},\n\t\tinfoTiddlerFields = [];\n\t// Basics\n\tinfoTiddlerFields.push({title: \"$:/info/browser\", text: mapBoolean(!!$tw.browser)});\n\tinfoTiddlerFields.push({title: \"$:/info/node\", text: mapBoolean(!!$tw.node)});\n\tinfoTiddlerFields.push({title: \"$:/info/startup-timestamp\", text: $tw.utils.stringifyDate(new Date())});\n\tif($tw.browser) {\n\t\t// Document location\n\t\tvar setLocationProperty = function(name,value) {\n\t\t\t\tinfoTiddlerFields.push({title: \"$:/info/url/\" + name, text: value});\t\t\t\n\t\t\t},\n\t\t\tlocation = document.location;\n\t\tsetLocationProperty(\"full\", (location.toString()).split(\"#\")[0]);\n\t\tsetLocationProperty(\"host\", location.host);\n\t\tsetLocationProperty(\"hostname\", location.hostname);\n\t\tsetLocationProperty(\"protocol\", location.protocol);\n\t\tsetLocationProperty(\"port\", location.port);\n\t\tsetLocationProperty(\"pathname\", location.pathname);\n\t\tsetLocationProperty(\"search\", location.search);\n\t\tsetLocationProperty(\"origin\", location.origin);\n\t\t// Screen size\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/screen/width\", text: window.screen.width.toString()});\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/screen/height\", text: window.screen.height.toString()});\n \t\t// Dark mode through event listener on MediaQueryList\n \t\tvar mqList = window.matchMedia(\"(prefers-color-scheme: dark)\"),\n \t\t\tgetDarkModeTiddler = function() {return {title: \"$:/info/darkmode\", text: mqList.matches ? \"yes\" : \"no\"};};\n \t\tinfoTiddlerFields.push(getDarkModeTiddler());\n \t\tmqList.addListener(function(event) {\n \t\t\tupdateInfoTiddlersCallback([getDarkModeTiddler()]);\n \t\t});\n\t\t// Language\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/language\", text: navigator.language || \"\"});\n\t}\n\treturn infoTiddlerFields;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "info"
        },
        "$:/core/modules/keyboard.js": {
            "title": "$:/core/modules/keyboard.js",
            "text": "/*\\\ntitle: $:/core/modules/keyboard.js\ntype: application/javascript\nmodule-type: global\n\nKeyboard handling utilities\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar namedKeys = {\n\t\"cancel\": 3,\n\t\"help\": 6,\n\t\"backspace\": 8,\n\t\"tab\": 9,\n\t\"clear\": 12,\n\t\"return\": 13,\n\t\"enter\": 13,\n\t\"pause\": 19,\n\t\"escape\": 27,\n\t\"space\": 32,\n\t\"page_up\": 33,\n\t\"page_down\": 34,\n\t\"end\": 35,\n\t\"home\": 36,\n\t\"left\": 37,\n\t\"up\": 38,\n\t\"right\": 39,\n\t\"down\": 40,\n\t\"printscreen\": 44,\n\t\"insert\": 45,\n\t\"delete\": 46,\n\t\"0\": 48,\n\t\"1\": 49,\n\t\"2\": 50,\n\t\"3\": 51,\n\t\"4\": 52,\n\t\"5\": 53,\n\t\"6\": 54,\n\t\"7\": 55,\n\t\"8\": 56,\n\t\"9\": 57,\n\t\"firefoxsemicolon\": 59,\n\t\"firefoxequals\": 61,\n\t\"a\": 65,\n\t\"b\": 66,\n\t\"c\": 67,\n\t\"d\": 68,\n\t\"e\": 69,\n\t\"f\": 70,\n\t\"g\": 71,\n\t\"h\": 72,\n\t\"i\": 73,\n\t\"j\": 74,\n\t\"k\": 75,\n\t\"l\": 76,\n\t\"m\": 77,\n\t\"n\": 78,\n\t\"o\": 79,\n\t\"p\": 80,\n\t\"q\": 81,\n\t\"r\": 82,\n\t\"s\": 83,\n\t\"t\": 84,\n\t\"u\": 85,\n\t\"v\": 86,\n\t\"w\": 87,\n\t\"x\": 88,\n\t\"y\": 89,\n\t\"z\": 90,\n\t\"numpad0\": 96,\n\t\"numpad1\": 97,\n\t\"numpad2\": 98,\n\t\"numpad3\": 99,\n\t\"numpad4\": 100,\n\t\"numpad5\": 101,\n\t\"numpad6\": 102,\n\t\"numpad7\": 103,\n\t\"numpad8\": 104,\n\t\"numpad9\": 105,\n\t\"multiply\": 106,\n\t\"add\": 107,\n\t\"separator\": 108,\n\t\"subtract\": 109,\n\t\"decimal\": 110,\n\t\"divide\": 111,\n\t\"f1\": 112,\n\t\"f2\": 113,\n\t\"f3\": 114,\n\t\"f4\": 115,\n\t\"f5\": 116,\n\t\"f6\": 117,\n\t\"f7\": 118,\n\t\"f8\": 119,\n\t\"f9\": 120,\n\t\"f10\": 121,\n\t\"f11\": 122,\n\t\"f12\": 123,\n\t\"f13\": 124,\n\t\"f14\": 125,\n\t\"f15\": 126,\n\t\"f16\": 127,\n\t\"f17\": 128,\n\t\"f18\": 129,\n\t\"f19\": 130,\n\t\"f20\": 131,\n\t\"f21\": 132,\n\t\"f22\": 133,\n\t\"f23\": 134,\n\t\"f24\": 135,\n\t\"firefoxminus\": 173,\n\t\"semicolon\": 186,\n\t\"equals\": 187,\n\t\"comma\": 188,\n\t\"dash\": 189,\n\t\"period\": 190,\n\t\"slash\": 191,\n\t\"backquote\": 192,\n\t\"openbracket\": 219,\n\t\"backslash\": 220,\n\t\"closebracket\": 221,\n\t\"quote\": 222\n};\n\nfunction KeyboardManager(options) {\n\tvar self = this;\n\toptions = options || \"\";\n\t// Save the named key hashmap\n\tthis.namedKeys = namedKeys;\n\t// Create a reverse mapping of code to keyname\n\tthis.keyNames = [];\n\t$tw.utils.each(namedKeys,function(keyCode,name) {\n\t\tself.keyNames[keyCode] = name.substr(0,1).toUpperCase() + name.substr(1);\n\t});\n\t// Save the platform-specific name of the \"meta\" key\n\tthis.metaKeyName = $tw.platform.isMac ? \"cmd-\" : \"win-\";\n\tthis.shortcutKeysList = [], // Stores the shortcut-key descriptors\n\tthis.shortcutActionList = [], // Stores the corresponding action strings\n\tthis.shortcutParsedList = []; // Stores the parsed key descriptors\n\tthis.lookupNames = [\"shortcuts\"];\n\tthis.lookupNames.push($tw.platform.isMac ? \"shortcuts-mac\" : \"shortcuts-not-mac\")\n\tthis.lookupNames.push($tw.platform.isWindows ? \"shortcuts-windows\" : \"shortcuts-not-windows\");\n\tthis.lookupNames.push($tw.platform.isLinux ? \"shortcuts-linux\" : \"shortcuts-not-linux\");\n\tthis.updateShortcutLists(this.getShortcutTiddlerList());\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tself.handleShortcutChanges(changes);\n\t});\n}\n\n/*\nReturn an array of keycodes for the modifier keys ctrl, shift, alt, meta\n*/\nKeyboardManager.prototype.getModifierKeys = function() {\n\treturn [\n\t\t16, // Shift\n\t\t17, // Ctrl\n\t\t18, // Alt\n\t\t20, // CAPS LOCK\n\t\t91, // Meta (left)\n\t\t93, // Meta (right)\n\t\t224 // Meta (Firefox)\n\t]\n};\n\n/*\nParses a key descriptor into the structure:\n{\n\tkeyCode: numeric keycode\n\tshiftKey: boolean\n\taltKey: boolean\n\tctrlKey: boolean\n\tmetaKey: boolean\n}\nKey descriptors have the following format:\n\tctrl+enter\n\tctrl+shift+alt+A\n*/\nKeyboardManager.prototype.parseKeyDescriptor = function(keyDescriptor) {\n\tvar components = keyDescriptor.split(/\\+|\\-/),\n\t\tinfo = {\n\t\t\tkeyCode: 0,\n\t\t\tshiftKey: false,\n\t\t\taltKey: false,\n\t\t\tctrlKey: false,\n\t\t\tmetaKey: false\n\t\t};\n\tfor(var t=0; t<components.length; t++) {\n\t\tvar s = components[t].toLowerCase(),\n\t\t\tc = s.charCodeAt(0);\n\t\t// Look for modifier keys\n\t\tif(s === \"ctrl\") {\n\t\t\tinfo.ctrlKey = true;\n\t\t} else if(s === \"shift\") {\n\t\t\tinfo.shiftKey = true;\n\t\t} else if(s === \"alt\") {\n\t\t\tinfo.altKey = true;\n\t\t} else if(s === \"meta\" || s === \"cmd\" || s === \"win\") {\n\t\t\tinfo.metaKey = true;\n\t\t}\n\t\t// Replace named keys with their code\n\t\tif(this.namedKeys[s]) {\n\t\t\tinfo.keyCode = this.namedKeys[s];\n\t\t}\n\t}\n\tif(info.keyCode) {\n\t\treturn info;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nParse a list of key descriptors into an array of keyInfo objects. The key descriptors can be passed as an array of strings or a space separated string\n*/\nKeyboardManager.prototype.parseKeyDescriptors = function(keyDescriptors,options) {\n\tvar self = this;\n\toptions = options || {};\n\toptions.stack = options.stack || [];\n\tvar wiki = options.wiki || $tw.wiki;\n\tif(typeof keyDescriptors === \"string\" && keyDescriptors === \"\") {\n\t\treturn [];\n\t}\n\tif(!$tw.utils.isArray(keyDescriptors)) {\n\t\tkeyDescriptors = keyDescriptors.split(\" \");\n\t}\n\tvar result = [];\n\t$tw.utils.each(keyDescriptors,function(keyDescriptor) {\n\t\t// Look for a named shortcut\n\t\tif(keyDescriptor.substr(0,2) === \"((\" && keyDescriptor.substr(-2,2) === \"))\") {\n\t\t\tif(options.stack.indexOf(keyDescriptor) === -1) {\n\t\t\t\toptions.stack.push(keyDescriptor);\n\t\t\t\tvar name = keyDescriptor.substring(2,keyDescriptor.length - 2),\n\t\t\t\t\tlookupName = function(configName) {\n\t\t\t\t\t\tvar keyDescriptors = wiki.getTiddlerText(\"$:/config/\" + configName + \"/\" + name);\n\t\t\t\t\t\tif(keyDescriptors) {\n\t\t\t\t\t\t\tresult.push.apply(result,self.parseKeyDescriptors(keyDescriptors,options));\n\t\t\t\t\t\t}\n\t\t\t\t\t};\n\t\t\t\t$tw.utils.each(self.lookupNames,function(platformDescriptor) {\n\t\t\t\t\tlookupName(platformDescriptor);\n\t\t\t\t});\n\t\t\t}\n\t\t} else {\n\t\t\tresult.push(self.parseKeyDescriptor(keyDescriptor));\n\t\t}\n\t});\n\treturn result;\n};\n\nKeyboardManager.prototype.getPrintableShortcuts = function(keyInfoArray) {\n\tvar self = this,\n\t\tresult = [];\n\t$tw.utils.each(keyInfoArray,function(keyInfo) {\n\t\tif(keyInfo) {\n\t\t\tresult.push((keyInfo.ctrlKey ? \"ctrl-\" : \"\") + \n\t\t\t\t   (keyInfo.shiftKey ? \"shift-\" : \"\") + \n\t\t\t\t   (keyInfo.altKey ? \"alt-\" : \"\") + \n\t\t\t\t   (keyInfo.metaKey ? self.metaKeyName : \"\") + \n\t\t\t\t   (self.keyNames[keyInfo.keyCode]));\n\t\t}\n\t});\n\treturn result;\n}\n\nKeyboardManager.prototype.checkKeyDescriptor = function(event,keyInfo) {\n\treturn keyInfo &&\n\t\t\tevent.keyCode === keyInfo.keyCode && \n\t\t\tevent.shiftKey === keyInfo.shiftKey && \n\t\t\tevent.altKey === keyInfo.altKey && \n\t\t\tevent.ctrlKey === keyInfo.ctrlKey && \n\t\t\tevent.metaKey === keyInfo.metaKey;\n};\n\nKeyboardManager.prototype.checkKeyDescriptors = function(event,keyInfoArray) {\n\tfor(var t=0; t<keyInfoArray.length; t++) {\n\t\tif(this.checkKeyDescriptor(event,keyInfoArray[t])) {\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\nKeyboardManager.prototype.getEventModifierKeyDescriptor = function(event) {\n\treturn event.ctrlKey && !event.shiftKey && !event.altKey && !event.metaKey ? \"ctrl\" : \n\t\tevent.shiftKey && !event.ctrlKey && !event.altKey && !event.metaKey ? \"shift\" : \n\t\tevent.ctrlKey && event.shiftKey && !event.altKey && !event.metaKey ? \"ctrl-shift\" : \n\t\tevent.altKey && !event.shiftKey && !event.ctrlKey && !event.metaKey ? \"alt\" : \n\t\tevent.altKey && event.shiftKey && !event.ctrlKey && !event.metaKey ? \"alt-shift\" : \n\t\tevent.altKey && event.ctrlKey && !event.shiftKey && !event.metaKey ? \"ctrl-alt\" : \n\t\tevent.altKey && event.shiftKey && event.ctrlKey && !event.metaKey ? \"ctrl-alt-shift\" : \n\t\tevent.metaKey && !event.ctrlKey && !event.shiftKey && !event.altKey ? \"meta\" : \n\t\tevent.metaKey && event.ctrlKey && !event.shiftKey && !event.altKey ? \"meta-ctrl\" :\n\t\tevent.metaKey && event.ctrlKey && event.shiftKey && !event.altKey ? \"meta-ctrl-shift\" :\n\t\tevent.metaKey && event.ctrlKey & event.shiftKey && event.altKey ? \"meta-ctrl-alt-shift\" : \"normal\";\n};\n\nKeyboardManager.prototype.getShortcutTiddlerList = function() {\n\treturn $tw.wiki.getTiddlersWithTag(\"$:/tags/KeyboardShortcut\");\n};\n\nKeyboardManager.prototype.updateShortcutLists = function(tiddlerList) {\n\tthis.shortcutTiddlers = tiddlerList;\n\tfor(var i=0; i<tiddlerList.length; i++) {\n\t\tvar title = tiddlerList[i],\n\t\t\ttiddlerFields = $tw.wiki.getTiddler(title).fields;\n\t\tthis.shortcutKeysList[i] = tiddlerFields.key !== undefined ? tiddlerFields.key : undefined;\n\t\tthis.shortcutActionList[i] = tiddlerFields.text;\n\t\tthis.shortcutParsedList[i] = this.shortcutKeysList[i] !== undefined ? this.parseKeyDescriptors(this.shortcutKeysList[i]) : undefined;\n\t}\n};\n\nKeyboardManager.prototype.handleKeydownEvent = function(event) {\n\tvar key, action;\n\tfor(var i=0; i<this.shortcutTiddlers.length; i++) {\n\t\tif(this.shortcutParsedList[i] !== undefined && this.checkKeyDescriptors(event,this.shortcutParsedList[i])) {\n\t\t\tkey = this.shortcutParsedList[i];\n\t\t\taction = this.shortcutActionList[i];\n\t\t}\n\t}\n\tif(key !== undefined) {\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\t$tw.rootWidget.invokeActionString(action,$tw.rootWidget);\n\t\treturn true;\n\t}\n\treturn false;\n};\n\nKeyboardManager.prototype.detectNewShortcuts = function(changedTiddlers) {\n\tvar shortcutConfigTiddlers = [],\n\t\thandled = false;\n\t$tw.utils.each(this.lookupNames,function(platformDescriptor) {\n\t\tvar descriptorString = \"$:/config/\" + platformDescriptor + \"/\";\n\t\tObject.keys(changedTiddlers).forEach(function(configTiddler) {\n\t\t\tvar configString = configTiddler.substr(0, configTiddler.lastIndexOf(\"/\") + 1);\n\t\t\tif(configString === descriptorString) {\n\t\t\t\tshortcutConfigTiddlers.push(configTiddler);\n\t\t\t\thandled = true;\n\t\t\t}\n\t\t});\n\t});\n\tif(handled) {\n\t\treturn $tw.utils.hopArray(changedTiddlers,shortcutConfigTiddlers);\n\t} else {\n\t\treturn false;\n\t}\n};\n\nKeyboardManager.prototype.handleShortcutChanges = function(changedTiddlers) {\n\tvar newList = this.getShortcutTiddlerList();\n\tvar hasChanged = $tw.utils.hopArray(changedTiddlers,this.shortcutTiddlers) ? true :\n\t\t($tw.utils.hopArray(changedTiddlers,newList) ? true :\n\t\t(this.detectNewShortcuts(changedTiddlers))\n\t);\n\t// Re-cache shortcuts if something changed\n\tif(hasChanged) {\n\t\tthis.updateShortcutLists(newList);\n\t}\n};\n\nexports.KeyboardManager = KeyboardManager;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/language.js": {
            "title": "$:/core/modules/language.js",
            "text": "/*\\\ntitle: $:/core/modules/language.js\ntype: application/javascript\nmodule-type: global\n\nThe $tw.Language() manages translateable strings\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreate an instance of the language manager. Options include:\nwiki: wiki from which to retrieve translation tiddlers\n*/\nfunction Language(options) {\n\toptions = options || \"\";\n\tthis.wiki = options.wiki || $tw.wiki;\n}\n\n/*\nReturn a wikified translateable string. The title is automatically prefixed with \"$:/language/\"\nOptions include:\nvariables: optional hashmap of variables to supply to the language wikification\n*/\nLanguage.prototype.getString = function(title,options) {\n\toptions = options || {};\n\ttitle = \"$:/language/\" + title;\n\treturn this.wiki.renderTiddler(\"text/plain\",title,{variables: options.variables});\n};\n\n/*\nReturn a raw, unwikified translateable string. The title is automatically prefixed with \"$:/language/\"\n*/\nLanguage.prototype.getRawString = function(title) {\n\ttitle = \"$:/language/\" + title;\n\treturn this.wiki.getTiddlerText(title);\n};\n\nexports.Language = Language;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/macros/changecount.js": {
            "title": "$:/core/modules/macros/changecount.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/changecount.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return the changecount for the current tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"changecount\";\n\nexports.params = [];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\treturn this.wiki.getChangeCount(this.getVariable(\"currentTiddler\")) + \"\";\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/contrastcolour.js": {
            "title": "$:/core/modules/macros/contrastcolour.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/contrastcolour.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to choose which of two colours has the highest contrast with a base colour\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"contrastcolour\";\n\nexports.params = [\n\t{name: \"target\"},\n\t{name: \"fallbackTarget\"},\n\t{name: \"colourA\"},\n\t{name: \"colourB\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(target,fallbackTarget,colourA,colourB) {\n\tvar rgbTarget = $tw.utils.parseCSSColor(target) || $tw.utils.parseCSSColor(fallbackTarget);\n\tif(!rgbTarget) {\n\t\treturn colourA;\n\t}\n\tvar rgbColourA = $tw.utils.parseCSSColor(colourA),\n\t\trgbColourB = $tw.utils.parseCSSColor(colourB);\n\tif(rgbColourA && !rgbColourB) {\n\t\treturn rgbColourA;\n\t}\n\tif(rgbColourB && !rgbColourA) {\n\t\treturn rgbColourB;\n\t}\n\tif(!rgbColourA && !rgbColourB) {\n\t\t// If neither colour is readable, return a crude inverse of the target\n\t\treturn [255 - rgbTarget[0],255 - rgbTarget[1],255 - rgbTarget[2],rgbTarget[3]];\n\t}\n\t// Colour brightness formula derived from http://www.w3.org/WAI/ER/WD-AERT/#color-contrast\n\tvar brightnessTarget = rgbTarget[0] * 0.299 + rgbTarget[1] * 0.587 + rgbTarget[2] * 0.114,\n\t\tbrightnessA = rgbColourA[0] * 0.299 + rgbColourA[1] * 0.587 + rgbColourA[2] * 0.114,\n\t\tbrightnessB = rgbColourB[0] * 0.299 + rgbColourB[1] * 0.587 + rgbColourB[2] * 0.114;\n\treturn Math.abs(brightnessTarget - brightnessA) > Math.abs(brightnessTarget - brightnessB) ? colourA : colourB;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/csvtiddlers.js": {
            "title": "$:/core/modules/macros/csvtiddlers.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/csvtiddlers.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output tiddlers matching a filter to CSV\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"csvtiddlers\";\n\nexports.params = [\n\t{name: \"filter\"},\n\t{name: \"format\"},\n];\n\n/*\nRun the macro\n*/\nexports.run = function(filter,format) {\n\tvar self = this,\n\t\ttiddlers = this.wiki.filterTiddlers(filter),\n\t\ttiddler,\n\t\tfields = [],\n\t\tt,f;\n\t// Collect all the fields\n\tfor(t=0;t<tiddlers.length; t++) {\n\t\ttiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\tfor(f in tiddler.fields) {\n\t\t\tif(fields.indexOf(f) === -1) {\n\t\t\t\tfields.push(f);\n\t\t\t}\n\t\t}\n\t}\n\t// Sort the fields and bring the standard ones to the front\n\tfields.sort();\n\t\"title text modified modifier created creator\".split(\" \").reverse().forEach(function(value,index) {\n\t\tvar p = fields.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tfields.splice(p,1);\n\t\t\tfields.unshift(value)\n\t\t}\n\t});\n\t// Output the column headings\n\tvar output = [], row = [];\n\tfields.forEach(function(value) {\n\t\trow.push(quoteAndEscape(value))\n\t});\n\toutput.push(row.join(\",\"));\n\t// Output each tiddler\n\tfor(var t=0;t<tiddlers.length; t++) {\n\t\trow = [];\n\t\ttiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\t\tfor(f=0; f<fields.length; f++) {\n\t\t\t\trow.push(quoteAndEscape(tiddler ? tiddler.getFieldString(fields[f]) || \"\" : \"\"));\n\t\t\t}\n\t\toutput.push(row.join(\",\"));\n\t}\n\treturn output.join(\"\\n\");\n};\n\nfunction quoteAndEscape(value) {\n\treturn \"\\\"\" + value.replace(/\"/mg,\"\\\"\\\"\") + \"\\\"\";\n}\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/displayshortcuts.js": {
            "title": "$:/core/modules/macros/displayshortcuts.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/displayshortcuts.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to display a list of keyboard shortcuts in human readable form. Notably, it resolves named shortcuts like `((bold))` to the underlying keystrokes.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"displayshortcuts\";\n\nexports.params = [\n\t{name: \"shortcuts\"},\n\t{name: \"prefix\"},\n\t{name: \"separator\"},\n\t{name: \"suffix\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(shortcuts,prefix,separator,suffix) {\n\tvar shortcutArray = $tw.keyboardManager.getPrintableShortcuts($tw.keyboardManager.parseKeyDescriptors(shortcuts,{\n\t\twiki: this.wiki\n\t}));\n\tif(shortcutArray.length > 0) {\n\t\tshortcutArray.sort(function(a,b) {\n\t\t    return a.toLowerCase().localeCompare(b.toLowerCase());\n\t\t})\n\t\treturn prefix + shortcutArray.join(separator) + suffix;\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/jsontiddler.js": {
            "title": "$:/core/modules/macros/jsontiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/jsontiddler.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output a single tiddler to JSON\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"jsontiddler\";\n\nexports.params = [\n\t{name: \"title\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(title) {\n\ttitle = title || this.getVariable(\"currentTiddler\");\n\tvar tiddler = !!title && this.wiki.getTiddler(title),\n\t\tfields = new Object();\n\tif(tiddler) {\n\t\tfor(var field in tiddler.fields) {\n\t\t\tfields[field] = tiddler.getFieldString(field);\n\t\t}\n\t}\n\treturn JSON.stringify(fields,null,$tw.config.preferences.jsonSpaces);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/jsontiddlers.js": {
            "title": "$:/core/modules/macros/jsontiddlers.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/jsontiddlers.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output tiddlers matching a filter to JSON\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"jsontiddlers\";\n\nexports.params = [\n\t{name: \"filter\"},\n\t{name: \"spaces\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(filter,spaces) {\n\treturn this.wiki.getTiddlersAsJson(filter,$tw.utils.parseInt(spaces));\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/makedatauri.js": {
            "title": "$:/core/modules/macros/makedatauri.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/makedatauri.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to convert a string of text to a data URI\n\n<<makedatauri text:\"Text to be converted\" type:\"text/vnd.tiddlywiki\">>\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"makedatauri\";\n\nexports.params = [\n\t{name: \"text\"},\n\t{name: \"type\"},\n\t{name: \"_canonical_uri\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(text,type,_canonical_uri) {\n\treturn $tw.utils.makeDataUri(text,type,_canonical_uri);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/now.js": {
            "title": "$:/core/modules/macros/now.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/now.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return a formatted version of the current time\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"now\";\n\nexports.params = [\n\t{name: \"format\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(format) {\n\treturn $tw.utils.formatDateString(new Date(),format || \"0hh:0mm, DDth MMM YYYY\");\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/qualify.js": {
            "title": "$:/core/modules/macros/qualify.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/qualify.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to qualify a state tiddler title according\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"qualify\";\n\nexports.params = [\n\t{name: \"title\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(title) {\n\treturn title + \"-\" + this.getStateQualifier();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/resolvepath.js": {
            "title": "$:/core/modules/macros/resolvepath.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/resolvepath.js\ntype: application/javascript\nmodule-type: macro\n\nResolves a relative path for an absolute rootpath.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"resolvepath\";\n\nexports.params = [\n\t{name: \"source\"},\n\t{name: \"root\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(source, root) {\n\treturn $tw.utils.resolvePath(source, root);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/unusedtitle.js": {
            "title": "$:/core/modules/macros/unusedtitle.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/unusedtitle.js\ntype: application/javascript\nmodule-type: macro\nMacro to return a new title that is unused in the wiki. It can be given a name as a base.\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"unusedtitle\";\n\nexports.params = [\n\t{name: \"baseName\"},\n\t{name: \"options\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(baseName, options) {\n\tif(!baseName) {\n\t\tbaseName = $tw.language.getString(\"DefaultNewTiddlerTitle\");\n\t}\n\treturn this.wiki.generateNewTitle(baseName, options);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/macros/version.js": {
            "title": "$:/core/modules/macros/version.js",
            "text": "/*\\\ntitle: $:/core/modules/macros/version.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return the TiddlyWiki core version number\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"version\";\n\nexports.params = [];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\treturn $tw.version;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "macro"
        },
        "$:/core/modules/parsers/audioparser.js": {
            "title": "$:/core/modules/parsers/audioparser.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/audioparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe audio parser parses an audio tiddler into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar AudioParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"audio\",\n\t\t\tattributes: {\n\t\t\t\tcontrols: {type: \"string\", value: \"controls\"},\n\t\t\t\tstyle: {type: \"string\", value: \"width: 100%; object-fit: contain\"}\n\t\t\t}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"audio/ogg\"] = AudioParser;\nexports[\"audio/mpeg\"] = AudioParser;\nexports[\"audio/mp3\"] = AudioParser;\nexports[\"audio/mp4\"] = AudioParser;\n\n})();\n\n",
            "type": "application/javascript",
            "module-type": "parser"
        },
        "$:/core/modules/parsers/binaryparser.js": {
            "title": "$:/core/modules/parsers/binaryparser.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/binaryparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe binary parser parses a binary tiddler into a warning message and download link\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar BINARY_WARNING_MESSAGE = \"$:/core/ui/BinaryWarning\";\nvar EXPORT_BUTTON_IMAGE = \"$:/core/images/export-button\";\n\nvar BinaryParser = function(type,text,options) {\n\t// Transclude the binary data tiddler warning message\n\tvar warn = {\n\t\ttype: \"element\",\n\t\ttag: \"p\",\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: BINARY_WARNING_MESSAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Create download link based on binary tiddler title\n\tvar link = {\n\t\ttype: \"element\",\n\t\ttag: \"a\",\n\t\tattributes: {\n\t\t\ttitle: {type: \"indirect\", textReference: \"!!title\"},\n\t\t\tdownload: {type: \"indirect\", textReference: \"!!title\"}\n\t\t},\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: EXPORT_BUTTON_IMAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Set the link href to external or internal data URI\n\tif(options._canonical_uri) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: options._canonical_uri\n\t\t};\n\t} else if(text) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: \"data:\" + type + \";base64,\" + text\n\t\t};\n\t}\n\t// Combine warning message and download link in a div\n\tvar element = {\n\t\ttype: \"element\",\n\t\ttag: \"div\",\n\t\tattributes: {\n\t\t\tclass: {type: \"string\", value: \"tc-binary-warning\"}\n\t\t},\n\t\tchildren: [warn, link]\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"application/octet-stream\"] = BinaryParser;\n\n})();\n\n",
            "type": "application/javascript",
            "module-type": "parser"
        },
        "$:/core/modules/parsers/csvparser.js": {
            "title": "$:/core/modules/parsers/csvparser.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/csvparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe CSV text parser processes CSV files into a table wrapped in a scrollable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar CsvParser = function(type,text,options) {\n\t// Table framework\n\tthis.tree = [{\n\t\t\"type\": \"scrollable\", \"children\": [{\n\t\t\t\"type\": \"element\", \"tag\": \"table\", \"children\": [{\n\t\t\t\t\"type\": \"element\", \"tag\": \"tbody\", \"children\": []\n\t\t\t}], \"attributes\": {\n\t\t\t\t\"class\": {\"type\": \"string\", \"value\": \"tc-csv-table\"}\n\t\t\t}\n\t\t}]\n\t}];\n\t// Split the text into lines\n\tvar lines = text.split(/\\r?\\n/mg),\n\t\ttag = \"th\";\n\tfor(var line=0; line<lines.length; line++) {\n\t\tvar lineText = lines[line];\n\t\tif(lineText) {\n\t\t\tvar row = {\n\t\t\t\t\t\"type\": \"element\", \"tag\": \"tr\", \"children\": []\n\t\t\t\t};\n\t\t\tvar columns = lineText.split(\",\");\n\t\t\tfor(var column=0; column<columns.length; column++) {\n\t\t\t\trow.children.push({\n\t\t\t\t\t\t\"type\": \"element\", \"tag\": tag, \"children\": [{\n\t\t\t\t\t\t\t\"type\": \"text\",\n\t\t\t\t\t\t\t\"text\": columns[column]\n\t\t\t\t\t\t}]\n\t\t\t\t\t});\n\t\t\t}\n\t\t\ttag = \"td\";\n\t\t\tthis.tree[0].children[0].children[0].children.push(row);\n\t\t}\n\t}\n};\n\nexports[\"text/csv\"] = CsvParser;\n\n})();\n\n",
            "type": "application/javascript",
            "module-type": "parser"
        },
        "$:/core/modules/parsers/htmlparser.js": {
            "title": "$:/core/modules/parsers/htmlparser.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/htmlparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe HTML parser displays text as raw HTML\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HtmlParser = function(type,text,options) {\n\tvar src;\n\tif(options._canonical_uri) {\n\t\tsrc = options._canonical_uri;\n\t} else if(text) {\n\t\tsrc = \"data:text/html;charset=utf-8,\" + encodeURIComponent(text);\n\t}\n\tthis.tree = [{\n\t\ttype: \"element\",\n\t\ttag: \"iframe\",\n\t\tattributes: {\n\t\t\tsrc: {type: \"string\", value: src},\n\t\t\tsandbox: {type: \"string\", value: \"\"}\n\t\t}\n\t}];\n};\n\nexports[\"text/html\"] = HtmlParser;\n\n})();\n\n",
            "type": "application/javascript",
            "module-type": "parser"
        },
        "$:/core/modules/parsers/imageparser.js": {
            "title": "$:/core/modules/parsers/imageparser.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/imageparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe image parser parses an image into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ImageParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"img\",\n\t\t\tattributes: {}\n\t\t};\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\tif(type === \"image/svg+xml\" || type === \".svg\") {\n\t\t\telement.attributes.src = {type: \"string\", value: \"data:image/svg+xml,\" + encodeURIComponent(text)};\n\t\t} else {\n\t\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t\t}\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"image/svg+xml\"] = ImageParser;\nexports[\"image/jpg\"] = ImageParser;\nexports[\"image/jpeg\"] = ImageParser;\nexports[\"image/png\"] = ImageParser;\nexports[\"image/gif\"] = ImageParser;\nexports[\"image/webp\"] = ImageParser;\nexports[\"image/heic\"] = ImageParser;\nexports[\"image/heif\"] = ImageParser;\nexports[\"image/x-icon\"] = ImageParser;\n\n})();\n\n",
            "type": "application/javascript",
            "module-type": "parser"
        },
        "$:/core/modules/utils/parseutils.js": {
            "title": "$:/core/modules/utils/parseutils.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/parseutils.js\ntype: application/javascript\nmodule-type: utils\n\nUtility functions concerned with parsing text into tokens.\n\nMost functions have the following pattern:\n\n* The parameters are:\n** `source`: the source string being parsed\n** `pos`: the current parse position within the string\n** Any further parameters are used to identify the token that is being parsed\n* The return value is:\n** null if the token was not found at the specified position\n** an object representing the token with the following standard fields:\n*** `type`: string indicating the type of the token\n*** `start`: start position of the token in the source string\n*** `end`: end position of the token in the source string\n*** Any further fields required to describe the token\n\nThe exception is `skipWhiteSpace`, which just returns the position after the whitespace.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nLook for a whitespace token. Returns null if not found, otherwise returns {type: \"whitespace\", start:, end:,}\n*/\nexports.parseWhiteSpace = function(source,pos) {\n\tvar p = pos,c;\n\twhile(true) {\n\t\tc = source.charAt(p);\n\t\tif((c === \" \") || (c === \"\\f\") || (c === \"\\n\") || (c === \"\\r\") || (c === \"\\t\") || (c === \"\\v\") || (c === \"\\u00a0\")) { // Ignores some obscure unicode spaces\n\t\t\tp++;\n\t\t} else {\n\t\t\tbreak;\n\t\t}\n\t}\n\tif(p === pos) {\n\t\treturn null;\n\t} else {\n\t\treturn {\n\t\t\ttype: \"whitespace\",\n\t\t\tstart: pos,\n\t\t\tend: p\n\t\t}\n\t}\n};\n\n/*\nConvenience wrapper for parseWhiteSpace. Returns the position after the whitespace\n*/\nexports.skipWhiteSpace = function(source,pos) {\n\tvar c;\n\twhile(true) {\n\t\tc = source.charAt(pos);\n\t\tif((c === \" \") || (c === \"\\f\") || (c === \"\\n\") || (c === \"\\r\") || (c === \"\\t\") || (c === \"\\v\") || (c === \"\\u00a0\")) { // Ignores some obscure unicode spaces\n\t\t\tpos++;\n\t\t} else {\n\t\t\treturn pos;\n\t\t}\n\t}\n};\n\n/*\nLook for a given string token. Returns null if not found, otherwise returns {type: \"token\", value:, start:, end:,}\n*/\nexports.parseTokenString = function(source,pos,token) {\n\tvar match = source.indexOf(token,pos) === pos;\n\tif(match) {\n\t\treturn {\n\t\t\ttype: \"token\",\n\t\t\tvalue: token,\n\t\t\tstart: pos,\n\t\t\tend: pos + token.length\n\t\t};\n\t}\n\treturn null;\n};\n\n/*\nLook for a token matching a regex. Returns null if not found, otherwise returns {type: \"regexp\", match:, start:, end:,}\n*/\nexports.parseTokenRegExp = function(source,pos,reToken) {\n\tvar node = {\n\t\ttype: \"regexp\",\n\t\tstart: pos\n\t};\n\treToken.lastIndex = pos;\n\tnode.match = reToken.exec(source);\n\tif(node.match && node.match.index === pos) {\n\t\tnode.end = pos + node.match[0].length;\n\t\treturn node;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLook for a string literal. Returns null if not found, otherwise returns {type: \"string\", value:, start:, end:,}\n*/\nexports.parseStringLiteral = function(source,pos) {\n\tvar node = {\n\t\ttype: \"string\",\n\t\tstart: pos\n\t};\n\tvar reString = /(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\")|(?:'([^']*)')/g;\n\treString.lastIndex = pos;\n\tvar match = reString.exec(source);\n\tif(match && match.index === pos) {\n\t\tnode.value = match[1] !== undefined ? match[1] :(\n\t\t\tmatch[2] !== undefined ? match[2] : match[3] \n\t\t\t\t\t);\n\t\tnode.end = pos + match[0].length;\n\t\treturn node;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLook for a macro invocation parameter. Returns null if not found, or {type: \"macro-parameter\", name:, value:, start:, end:}\n*/\nexports.parseMacroParameter = function(source,pos) {\n\tvar node = {\n\t\ttype: \"macro-parameter\",\n\t\tstart: pos\n\t};\n\t// Define our regexp\n\tvar reMacroParameter = /(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\\s>\"'=]+)))/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the parameter\n\tvar token = $tw.utils.parseTokenRegExp(source,pos,reMacroParameter);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the parameter details\n\tnode.value = token.match[2] !== undefined ? token.match[2] : (\n\t\t\t\t\ttoken.match[3] !== undefined ? token.match[3] : (\n\t\t\t\t\t\ttoken.match[4] !== undefined ? token.match[4] : (\n\t\t\t\t\t\t\ttoken.match[5] !== undefined ? token.match[5] : (\n\t\t\t\t\t\t\t\ttoken.match[6] !== undefined ? token.match[6] : (\n\t\t\t\t\t\t\t\t\t\"\"\n\t\t\t\t\t\t\t\t)\n\t\t\t\t\t\t\t)\n\t\t\t\t\t\t)\n\t\t\t\t\t)\n\t\t\t\t);\n\tif(token.match[1]) {\n\t\tnode.name = token.match[1];\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n/*\nLook for a macro invocation. Returns null if not found, or {type: \"macrocall\", name:, parameters:, start:, end:}\n*/\nexports.parseMacroInvocation = function(source,pos) {\n\tvar node = {\n\t\ttype: \"macrocall\",\n\t\tstart: pos,\n\t\tparams: []\n\t};\n\t// Define our regexps\n\tvar reMacroName = /([^\\s>\"'=]+)/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a double less than sign\n\tvar token = $tw.utils.parseTokenString(source,pos,\"<<\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the macro name\n\tvar name = $tw.utils.parseTokenRegExp(source,pos,reMacroName);\n\tif(!name) {\n\t\treturn null;\n\t}\n\tnode.name = name.match[1];\n\tpos = name.end;\n\t// Process parameters\n\tvar parameter = $tw.utils.parseMacroParameter(source,pos);\n\twhile(parameter) {\n\t\tnode.params.push(parameter);\n\t\tpos = parameter.end;\n\t\t// Get the next parameter\n\t\tparameter = $tw.utils.parseMacroParameter(source,pos);\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a double greater than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\">>\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n/*\nLook for an HTML attribute definition. Returns null if not found, otherwise returns {type: \"attribute\", name:, valueType: \"string|indirect|macro\", value:, start:, end:,}\n*/\nexports.parseAttribute = function(source,pos) {\n\tvar node = {\n\t\tstart: pos\n\t};\n\t// Define our regexps\n\tvar reAttributeName = /([^\\/\\s>\"'=]+)/g,\n\t\treUnquotedAttribute = /([^\\/\\s<>\"'=]+)/g,\n\t\treFilteredValue = /\\{\\{\\{(.+?)\\}\\}\\}/g,\n\t\treIndirectValue = /\\{\\{([^\\}]+)\\}\\}/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Get the attribute name\n\tvar name = $tw.utils.parseTokenRegExp(source,pos,reAttributeName);\n\tif(!name) {\n\t\treturn null;\n\t}\n\tnode.name = name.match[1];\n\tpos = name.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for an equals sign\n\tvar token = $tw.utils.parseTokenString(source,pos,\"=\");\n\tif(token) {\n\t\tpos = token.end;\n\t\t// Skip whitespace\n\t\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t\t// Look for a string literal\n\t\tvar stringLiteral = $tw.utils.parseStringLiteral(source,pos);\n\t\tif(stringLiteral) {\n\t\t\tpos = stringLiteral.end;\n\t\t\tnode.type = \"string\";\n\t\t\tnode.value = stringLiteral.value;\n\t\t} else {\n\t\t\t// Look for a filtered value\n\t\t\tvar filteredValue = $tw.utils.parseTokenRegExp(source,pos,reFilteredValue);\n\t\t\tif(filteredValue) {\n\t\t\t\tpos = filteredValue.end;\n\t\t\t\tnode.type = \"filtered\";\n\t\t\t\tnode.filter = filteredValue.match[1];\n\t\t\t} else {\n\t\t\t\t// Look for an indirect value\n\t\t\t\tvar indirectValue = $tw.utils.parseTokenRegExp(source,pos,reIndirectValue);\n\t\t\t\tif(indirectValue) {\n\t\t\t\t\tpos = indirectValue.end;\n\t\t\t\t\tnode.type = \"indirect\";\n\t\t\t\t\tnode.textReference = indirectValue.match[1];\n\t\t\t\t} else {\n\t\t\t\t\t// Look for a unquoted value\n\t\t\t\t\tvar unquotedValue = $tw.utils.parseTokenRegExp(source,pos,reUnquotedAttribute);\n\t\t\t\t\tif(unquotedValue) {\n\t\t\t\t\t\tpos = unquotedValue.end;\n\t\t\t\t\t\tnode.type = \"string\";\n\t\t\t\t\t\tnode.value = unquotedValue.match[1];\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// Look for a macro invocation value\n\t\t\t\t\t\tvar macroInvocation = $tw.utils.parseMacroInvocation(source,pos);\n\t\t\t\t\t\tif(macroInvocation) {\n\t\t\t\t\t\t\tpos = macroInvocation.end;\n\t\t\t\t\t\t\tnode.type = \"macro\";\n\t\t\t\t\t\t\tnode.value = macroInvocation;\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tnode.type = \"string\";\n\t\t\t\t\t\t\tnode.value = \"true\";\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t} else {\n\t\tnode.type = \"string\";\n\t\tnode.value = \"true\";\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/parsers/pdfparser.js": {
            "title": "$:/core/modules/parsers/pdfparser.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/pdfparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe PDF parser embeds a PDF viewer\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ImageParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"embed\",\n\t\t\tattributes: {}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:application/pdf;base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"application/pdf\"] = ImageParser;\n\n})();\n\n",
            "type": "application/javascript",
            "module-type": "parser"
        },
        "$:/core/modules/parsers/textparser.js": {
            "title": "$:/core/modules/parsers/textparser.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/textparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe plain text parser processes blocks of source text into a degenerate parse tree consisting of a single text node\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar TextParser = function(type,text,options) {\n\tthis.tree = [{\n\t\ttype: \"codeblock\",\n\t\tattributes: {\n\t\t\tcode: {type: \"string\", value: text},\n\t\t\tlanguage: {type: \"string\", value: type}\n\t\t}\n\t}];\n};\n\nexports[\"text/plain\"] = TextParser;\nexports[\"text/x-tiddlywiki\"] = TextParser;\nexports[\"application/javascript\"] = TextParser;\nexports[\"application/json\"] = TextParser;\nexports[\"text/css\"] = TextParser;\nexports[\"application/x-tiddler-dictionary\"] = TextParser;\n\n})();\n\n",
            "type": "application/javascript",
            "module-type": "parser"
        },
        "$:/core/modules/parsers/videoparser.js": {
            "title": "$:/core/modules/parsers/videoparser.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/videoparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe video parser parses a video tiddler into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar VideoParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"video\",\n\t\t\tattributes: {\n\t\t\t\tcontrols: {type: \"string\", value: \"controls\"},\n\t\t\t\tstyle: {type: \"string\", value: \"width: 100%; object-fit: contain\"}\n\t\t\t}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"video/ogg\"] = VideoParser;\nexports[\"video/webm\"] = VideoParser;\nexports[\"video/mp4\"] = VideoParser;\nexports[\"video/quicktime\"] = VideoParser;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "parser"
        },
        "$:/core/modules/parsers/wikiparser/rules/codeblock.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/codeblock.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/codeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for code blocks. For example:\n\n```\n\t```\n\tThis text will not be //wikified//\n\t```\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"codeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match and get language if defined\n\tthis.matchRegExp = /```([\\w-]*)\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /(\\r?\\n```$)/mg;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Look for the end of the block\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the block\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\t// Return the $codeblock widget\n\treturn [{\n\t\t\ttype: \"codeblock\",\n\t\t\tattributes: {\n\t\t\t\t\tcode: {type: \"string\", value: text},\n\t\t\t\t\tlanguage: {type: \"string\", value: this.match[1]}\n\t\t\t}\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/codeinline.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/codeinline.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/codeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for code runs. For example:\n\n```\n\tThis is a `code run`.\n\tThis is another ``code run``\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"codeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(``?)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar reEnd = new RegExp(this.match[1], \"mg\");\n\t// Look for the end marker\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the text\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"code\",\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: text\n\t\t}]\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/commentblock.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/commentblock.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/commentblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for HTML comments. For example:\n\n```\n<!-- This is a comment -->\n```\n\nNote that the syntax for comments is simplified to an opening \"<!--\" sequence and a closing \"-->\" sequence -- HTML itself implements a more complex format (see http://ostermiller.org/findhtmlcomment.html)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"commentblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /<!--/mg;\n\tthis.endMatchRegExp = /-->/mg;\n};\n\nexports.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\tif(this.match) {\n\t\tthis.endMatchRegExp.lastIndex = startPos + this.match[0].length;\n\t\tthis.endMatch = this.endMatchRegExp.exec(this.parser.source);\n\t\tif(this.endMatch) {\n\t\t\treturn this.match.index;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\t// Don't return any elements\n\treturn [];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/commentinline.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/commentinline.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/commentinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for HTML comments. For example:\n\n```\n<!-- This is a comment -->\n```\n\nNote that the syntax for comments is simplified to an opening \"<!--\" sequence and a closing \"-->\" sequence -- HTML itself implements a more complex format (see http://ostermiller.org/findhtmlcomment.html)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"commentinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /<!--/mg;\n\tthis.endMatchRegExp = /-->/mg;\n};\n\nexports.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\tif(this.match) {\n\t\tthis.endMatchRegExp.lastIndex = startPos + this.match[0].length;\n\t\tthis.endMatch = this.endMatchRegExp.exec(this.parser.source);\n\t\tif(this.endMatch) {\n\t\t\treturn this.match.index;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\t// Don't return any elements\n\treturn [];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/dash.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/dash.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/dash.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for dashes. For example:\n\n```\nThis is an en-dash: --\n\nThis is an em-dash: ---\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"dash\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /-{2,3}(?!-)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar dash = this.match[0].length === 2 ? \"&ndash;\" : \"&mdash;\";\n\treturn [{\n\t\ttype: \"entity\",\n\t\tentity: dash\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/emphasis/bold.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/emphasis/bold.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/bold.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - bold. For example:\n\n```\n\tThis is ''bold'' text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except bold \n\\rules only bold \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"bold\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /''/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/''/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"strong\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/emphasis/italic.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/emphasis/italic.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/italic.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - italic. For example:\n\n```\n\tThis is //italic// text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except italic\n\\rules only italic\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"italic\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\/\\//mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/\\/\\//mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"em\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - strikethrough. For example:\n\n```\n\tThis is ~~strikethrough~~ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except strikethrough \n\\rules only strikethrough \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"strikethrough\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /~~/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/~~/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"strike\",\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - subscript. For example:\n\n```\n\tThis is ,,subscript,, text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except subscript \n\\rules only subscript \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"subscript\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /,,/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/,,/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"sub\",\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - superscript. For example:\n\n```\n\tThis is ^^superscript^^ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except superscript \n\\rules only superscript \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"superscript\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\^\\^/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/\\^\\^/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"sup\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - underscore. For example:\n\n```\n\tThis is __underscore__ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except underscore \n\\rules only underscore\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"underscore\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /__/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/__/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"u\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/entity.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/entity.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/entity.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for HTML entities. For example:\n\n```\n\tThis is a copyright symbol: &copy;\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"entity\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(&#?[a-zA-Z0-9]{2,8};)/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar entityString = this.match[1];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Return the entity\n\treturn [{type: \"entity\", entity: this.match[0]}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/extlink.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/extlink.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/extlink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for external links. For example:\n\n```\nAn external link: https://www.tiddlywiki.com/\n\nA suppressed external link: ~http://www.tiddlyspace.com/\n```\n\nExternal links can be suppressed by preceding them with `~`.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"extlink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /~?(?:file|http|https|mailto|ftp|irc|news|data|skype):[^\\s<>{}\\[\\]`|\"\\\\^]+(?:\\/|\\b)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Create the link unless it is suppressed\n\tif(this.match[0].substr(0,1) === \"~\") {\n\t\treturn [{type: \"text\", text: this.match[0].substr(1)}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tattributes: {\n\t\t\t\thref: {type: \"string\", value: this.match[0]},\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t\ttarget: {type: \"string\", value: \"_blank\"},\n\t\t\t\trel: {type: \"string\", value: \"noopener noreferrer\"}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: this.match[0]\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for block-level filtered transclusion. For example:\n\n```\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"filteredtranscludeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{\\{([^\\|]+?)(?:\\|([^\\|\\{\\}]+))?(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}([^\\}]*)\\}(?:\\.(\\S+))?(?:\\r?\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar filter = this.match[1],\n\t\ttooltip = this.match[2],\n\t\ttemplate = $tw.utils.trim(this.match[3]),\n\t\tstyle = this.match[4],\n\t\tclasses = this.match[5];\n\t// Return the list widget\n\tvar node = {\n\t\ttype: \"list\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: filter}\n\t\t},\n\t\tisBlock: true\n\t};\n\tif(tooltip) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: tooltip};\n\t}\n\tif(template) {\n\t\tnode.attributes.template = {type: \"string\", value: template};\n\t}\n\tif(style) {\n\t\tnode.attributes.style = {type: \"string\", value: style};\n\t}\n\tif(classes) {\n\t\tnode.attributes.itemClass = {type: \"string\", value: classes.split(\".\").join(\" \")};\n\t}\n\treturn [node];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for inline filtered transclusion. For example:\n\n```\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"filteredtranscludeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{\\{([^\\|]+?)(?:\\|([^\\|\\{\\}]+))?(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}([^\\}]*)\\}(?:\\.(\\S+))?/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar filter = this.match[1],\n\t\ttooltip = this.match[2],\n\t\ttemplate = $tw.utils.trim(this.match[3]),\n\t\tstyle = this.match[4],\n\t\tclasses = this.match[5];\n\t// Return the list widget\n\tvar node = {\n\t\ttype: \"list\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: filter}\n\t\t}\n\t};\n\tif(tooltip) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: tooltip};\n\t}\n\tif(template) {\n\t\tnode.attributes.template = {type: \"string\", value: template};\n\t}\n\tif(style) {\n\t\tnode.attributes.style = {type: \"string\", value: style};\n\t}\n\tif(classes) {\n\t\tnode.attributes.itemClass = {type: \"string\", value: classes.split(\".\").join(\" \")};\n\t}\n\treturn [node];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for marking areas with hard line breaks. For example:\n\n```\n\"\"\"\nThis is some text\nThat is set like\nIt is a Poem\nWhen it is\nClearly\nNot\n\"\"\"\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"hardlinebreaks\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\"\"\"(?:\\r?\\n)?/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /(\"\"\")|(\\r?\\n)/mg,\n\t\ttree = [],\n\t\tmatch;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tdo {\n\t\t// Parse the run up to the terminator\n\t\ttree.push.apply(tree,this.parser.parseInlineRun(reEnd,{eatTerminator: false}));\n\t\t// Redo the terminator match\n\t\treEnd.lastIndex = this.parser.pos;\n\t\tmatch = reEnd.exec(this.parser.source);\n\t\tif(match) {\n\t\t\tthis.parser.pos = reEnd.lastIndex;\n\t\t\t// Add a line break if the terminator was a line break\n\t\t\tif(match[2]) {\n\t\t\t\ttree.push({type: \"element\", tag: \"br\"});\n\t\t\t}\n\t\t}\n\t} while(match && !match[1]);\n\t// Return the nodes\n\treturn tree;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/heading.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/heading.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/heading.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for headings\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"heading\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(!{1,6})/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar headingLevel = this.match[1].length;\n\t// Move past the !s\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse any classes, whitespace and then the heading itself\n\tvar classes = this.parser.parseClasses();\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tvar tree = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// Return the heading\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"h\" + headingLevel, \n\t\tattributes: {\n\t\t\t\"class\": {type: \"string\", value: classes.join(\" \")}\n\t\t},\n\t\tchildren: tree\n\t}];\n};\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/horizrule.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/horizrule.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/horizrule.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for rules. For example:\n\n```\n---\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"horizrule\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /-{3,}\\r?(?:\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\treturn [{type: \"element\", tag: \"hr\"}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/html.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/html.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/html.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for HTML elements and widgets. For example:\n\n{{{\n<aside>\nThis is an HTML5 aside element\n</aside>\n\n<$slider target=\"MyTiddler\">\nThis is a widget invocation\n</$slider>\n\n}}}\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"html\";\nexports.types = {inline: true, block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextTag = this.findNextTag(this.parser.source,startPos,{\n\t\trequireLineBreak: this.is.block\n\t});\n\treturn this.nextTag ? this.nextTag.start : undefined;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Retrieve the most recent match so that recursive calls don't overwrite it\n\tvar tag = this.nextTag;\n\tthis.nextTag = null;\n\t// Advance the parser position to past the tag\n\tthis.parser.pos = tag.end;\n\t// Check for an immediately following double linebreak\n\tvar hasLineBreak = !tag.isSelfClosing && !!$tw.utils.parseTokenRegExp(this.parser.source,this.parser.pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t// Set whether we're in block mode\n\ttag.isBlock = this.is.block || hasLineBreak;\n\t// Parse the body if we need to\n\tif(!tag.isSelfClosing && $tw.config.htmlVoidElements.indexOf(tag.tag) === -1) {\n\t\t\tvar reEndString = \"</\" + $tw.utils.escapeRegExp(tag.tag) + \">\",\n\t\t\t\treEnd = new RegExp(\"(\" + reEndString + \")\",\"mg\");\n\t\tif(hasLineBreak) {\n\t\t\ttag.children = this.parser.parseBlocks(reEndString);\n\t\t} else {\n\t\t\ttag.children = this.parser.parseInlineRun(reEnd);\n\t\t}\n\t\treEnd.lastIndex = this.parser.pos;\n\t\tvar endMatch = reEnd.exec(this.parser.source);\n\t\tif(endMatch && endMatch.index === this.parser.pos) {\n\t\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t\t}\n\t}\n\t// Return the tag\n\treturn [tag];\n};\n\n/*\nLook for an HTML tag. Returns null if not found, otherwise returns {type: \"element\", name:, attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseTag = function(source,pos,options) {\n\toptions = options || {};\n\tvar token,\n\t\tnode = {\n\t\t\ttype: \"element\",\n\t\t\tstart: pos,\n\t\t\tattributes: {}\n\t\t};\n\t// Define our regexps\n\tvar reTagName = /([a-zA-Z0-9\\-\\$]+)/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a less than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\"<\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the tag name\n\ttoken = $tw.utils.parseTokenRegExp(source,pos,reTagName);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tnode.tag = token.match[1];\n\tif(node.tag.slice(1).indexOf(\"$\") !== -1) {\n\t\treturn null;\n\t}\n\tif(node.tag.charAt(0) === \"$\") {\n\t\tnode.type = node.tag.substr(1);\n\t}\n\tpos = token.end;\n\t// Check that the tag is terminated by a space, / or >\n\tif(!$tw.utils.parseWhiteSpace(source,pos) && !(source.charAt(pos) === \"/\") && !(source.charAt(pos) === \">\") ) {\n\t\treturn null;\n\t}\n\t// Process attributes\n\tvar attribute = $tw.utils.parseAttribute(source,pos);\n\twhile(attribute) {\n\t\tnode.attributes[attribute.name] = attribute;\n\t\tpos = attribute.end;\n\t\t// Get the next attribute\n\t\tattribute = $tw.utils.parseAttribute(source,pos);\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a closing slash\n\ttoken = $tw.utils.parseTokenString(source,pos,\"/\");\n\tif(token) {\n\t\tpos = token.end;\n\t\tnode.isSelfClosing = true;\n\t}\n\t// Look for a greater than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\">\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Check for a required line break\n\tif(options.requireLineBreak) {\n\t\ttoken = $tw.utils.parseTokenRegExp(source,pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t\tif(!token) {\n\t\t\treturn null;\n\t\t}\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\nexports.findNextTag = function(source,pos,options) {\n\t// A regexp for finding candidate HTML tags\n\tvar reLookahead = /<([a-zA-Z\\-\\$]+)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a tag\n\t\tvar tag = this.parseTag(source,match.index,options);\n\t\t// Return success\n\t\tif(tag && this.isLegalTag(tag)) {\n\t\t\treturn tag;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\nexports.isLegalTag = function(tag) {\n\t// Widgets are always OK\n\tif(tag.type !== \"element\") {\n\t\treturn true;\n\t// If it's an HTML tag that starts with a dash then it's not legal\n\t} else if(tag.tag.charAt(0) === \"-\") {\n\t\treturn false;\n\t} else {\n\t\t// Otherwise it's OK\n\t\treturn true;\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/image.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/image.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/image.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for embedding images. For example:\n\n```\n[img[https://tiddlywiki.com/fractalveg.jpg]]\n[img width=23 height=24 [https://tiddlywiki.com/fractalveg.jpg]]\n[img width={{!!width}} height={{!!height}} [https://tiddlywiki.com/fractalveg.jpg]]\n[img[Description of image|https://tiddlywiki.com/fractalveg.jpg]]\n[img[TiddlerTitle]]\n[img[Description of image|TiddlerTitle]]\n```\n\nGenerates the `<$image>` widget.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"image\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextImage = this.findNextImage(this.parser.source,startPos);\n\treturn this.nextImage ? this.nextImage.start : undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.nextImage.end;\n\tvar node = {\n\t\ttype: \"image\",\n\t\tattributes: this.nextImage.attributes\n\t};\n\treturn [node];\n};\n\n/*\nFind the next image from the current position\n*/\nexports.findNextImage = function(source,pos) {\n\t// A regexp for finding candidate HTML tags\n\tvar reLookahead = /(\\[img)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a tag\n\t\tvar tag = this.parseImage(source,match.index);\n\t\t// Return success\n\t\tif(tag) {\n\t\t\treturn tag;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\n/*\nLook for an image at the specified position. Returns null if not found, otherwise returns {type: \"image\", attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseImage = function(source,pos) {\n\tvar token,\n\t\tnode = {\n\t\t\ttype: \"image\",\n\t\t\tstart: pos,\n\t\t\tattributes: {}\n\t\t};\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[img`\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[img\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Process attributes\n\tif(source.charAt(pos) !== \"[\") {\n\t\tvar attribute = $tw.utils.parseAttribute(source,pos);\n\t\twhile(attribute) {\n\t\t\tnode.attributes[attribute.name] = attribute;\n\t\t\tpos = attribute.end;\n\t\t\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t\t\tif(source.charAt(pos) !== \"[\") {\n\t\t\t\t// Get the next attribute\n\t\t\t\tattribute = $tw.utils.parseAttribute(source,pos);\n\t\t\t} else {\n\t\t\t\tattribute = null;\n\t\t\t}\n\t\t}\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[` after the attributes\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Get the source up to the terminating `]]`\n\ttoken = $tw.utils.parseTokenRegExp(source,pos,/(?:([^|\\]]*?)\\|)?([^\\]]+?)\\]\\]/g);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\tif(token.match[1]) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: token.match[1].trim()};\n\t}\n\tnode.attributes.source = {type: \"string\", value: (token.match[2] || \"\").trim()};\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/import.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/import.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/import.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for importing variable definitions\n\n```\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"import\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\import[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\tvar self = this;\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the filter terminated by a line break\n\tvar reMatch = /(.*)(\\r?\\n)|$/mg;\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\tthis.parser.pos = reMatch.lastIndex;\n\t// Parse tree nodes to return\n\treturn [{\n\t\ttype: \"importvariables\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: match[1]}\n\t\t},\n\t\tchildren: []\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/list.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/list.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/list.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for lists. For example:\n\n```\n* This is an unordered list\n* It has two items\n\n# This is a numbered list\n## With a subitem\n# And a third item\n\n; This is a term that is being defined\n: This is the definition of that term\n```\n\nNote that lists can be nested arbitrarily:\n\n```\n#** One\n#* Two\n#** Three\n#**** Four\n#**# Five\n#**## Six\n## Seven\n### Eight\n## Nine\n```\n\nA CSS class can be applied to a list item as follows:\n\n```\n* List item one\n*.active List item two has the class `active`\n* List item three\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"list\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /([\\*#;:>]+)/mg;\n};\n\nvar listTypes = {\n\t\"*\": {listTag: \"ul\", itemTag: \"li\"},\n\t\"#\": {listTag: \"ol\", itemTag: \"li\"},\n\t\";\": {listTag: \"dl\", itemTag: \"dt\"},\n\t\":\": {listTag: \"dl\", itemTag: \"dd\"},\n\t\">\": {listTag: \"blockquote\", itemTag: \"div\"}\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Array of parse tree nodes for the previous row of the list\n\tvar listStack = [];\n\t// Cycle through the items in the list\n\twhile(true) {\n\t\t// Match the list marker\n\t\tvar reMatch = /([\\*#;:>]+)/mg;\n\t\treMatch.lastIndex = this.parser.pos;\n\t\tvar match = reMatch.exec(this.parser.source);\n\t\tif(!match || match.index !== this.parser.pos) {\n\t\t\tbreak;\n\t\t}\n\t\t// Check whether the list type of the top level matches\n\t\tvar listInfo = listTypes[match[0].charAt(0)];\n\t\tif(listStack.length > 0 && listStack[0].tag !== listInfo.listTag) {\n\t\t\tbreak;\n\t\t}\n\t\t// Move past the list marker\n\t\tthis.parser.pos = match.index + match[0].length;\n\t\t// Walk through the list markers for the current row\n\t\tfor(var t=0; t<match[0].length; t++) {\n\t\t\tlistInfo = listTypes[match[0].charAt(t)];\n\t\t\t// Remove any stacked up element if we can't re-use it because the list type doesn't match\n\t\t\tif(listStack.length > t && listStack[t].tag !== listInfo.listTag) {\n\t\t\t\tlistStack.splice(t,listStack.length - t);\n\t\t\t}\n\t\t\t// Construct the list element or reuse the previous one at this level\n\t\t\tif(listStack.length <= t) {\n\t\t\t\tvar listElement = {type: \"element\", tag: listInfo.listTag, children: [\n\t\t\t\t\t{type: \"element\", tag: listInfo.itemTag, children: []}\n\t\t\t\t]};\n\t\t\t\t// Link this list element into the last child item of the parent list item\n\t\t\t\tif(t) {\n\t\t\t\t\tvar prevListItem = listStack[t-1].children[listStack[t-1].children.length-1];\n\t\t\t\t\tprevListItem.children.push(listElement);\n\t\t\t\t}\n\t\t\t\t// Save this element in the stack\n\t\t\t\tlistStack[t] = listElement;\n\t\t\t} else if(t === (match[0].length - 1)) {\n\t\t\t\tlistStack[t].children.push({type: \"element\", tag: listInfo.itemTag, children: []});\n\t\t\t}\n\t\t}\n\t\tif(listStack.length > match[0].length) {\n\t\t\tlistStack.splice(match[0].length,listStack.length - match[0].length);\n\t\t}\n\t\t// Process the body of the list item into the last list item\n\t\tvar lastListChildren = listStack[listStack.length-1].children,\n\t\t\tlastListItem = lastListChildren[lastListChildren.length-1],\n\t\t\tclasses = this.parser.parseClasses();\n\t\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\t\tvar tree = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t\tlastListItem.children.push.apply(lastListItem.children,tree);\n\t\tif(classes.length > 0) {\n\t\t\t$tw.utils.addClassToParseTreeNode(lastListItem,classes.join(\" \"));\n\t\t}\n\t\t// Consume any whitespace following the list item\n\t\tthis.parser.skipWhitespace();\n\t}\n\t// Return the root element of the list\n\treturn [listStack[0]];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/macrocallblock.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/macrocallblock.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrocallblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for block macro calls\n\n```\n<<name value value2>>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrocallblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /<<([^>\\s]+)(?:\\s*)((?:[^>]|(?:>(?!>)))*?)>>(?:\\r?\\n|$)/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar macroName = this.match[1],\n\t\tparamString = this.match[2];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = {\n\t\t\tvalue: paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5] || paramMatch[6]\n\t\t};\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn [{\n\t\ttype: \"macrocall\",\n\t\tname: macroName,\n\t\tparams: params,\n\t\tisBlock: true\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/macrocallinline.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/macrocallinline.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrocallinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for macro calls\n\n```\n<<name value value2>>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrocallinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /<<([^\\s>]+)\\s*([\\s\\S]*?)>>/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar macroName = this.match[1],\n\t\tparamString = this.match[2];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = {\n\t\t\tvalue: paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5]|| paramMatch[6]\n\t\t};\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn [{\n\t\ttype: \"macrocall\",\n\t\tname: macroName,\n\t\tparams: params\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/macrodef.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/macrodef.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrodef.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for macro definitions\n\n```\n\\define name(param:defaultvalue,param2:defaultvalue)\ndefinition text, including $param$ markers\n\\end\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrodef\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\define\\s+([^(\\s]+)\\(\\s*([^)]*)\\)(\\s*\\r?\\n)?/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the macro name and parameters\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the parameters\n\tvar paramString = this.match[2],\n\t\tparams = [];\n\tif(paramString !== \"\") {\n\t\tvar reParam = /\\s*([A-Za-z0-9\\-_]+)(?:\\s*:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))?/mg,\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\twhile(paramMatch) {\n\t\t\t// Save the parameter details\n\t\t\tvar paramInfo = {name: paramMatch[1]},\n\t\t\t\tdefaultValue = paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5] || paramMatch[6];\n\t\t\tif(defaultValue) {\n\t\t\t\tparamInfo[\"default\"] = defaultValue;\n\t\t\t}\n\t\t\tparams.push(paramInfo);\n\t\t\t// Look for the next parameter\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\t}\n\t}\n\t// Is this a multiline definition?\n\tvar reEnd;\n\tif(this.match[3]) {\n\t\t// If so, the end of the body is marked with \\end\n\t\treEnd = /(\\r?\\n\\\\end[^\\S\\n\\r]*(?:$|\\r?\\n))/mg;\n\t} else {\n\t\t// Otherwise, the end of the definition is marked by the end of the line\n\t\treEnd = /($|\\r?\\n)/mg;\n\t\t// Move past any whitespace\n\t\tthis.parser.pos = $tw.utils.skipWhiteSpace(this.parser.source,this.parser.pos);\n\t}\n\t// Find the end of the definition\n\treEnd.lastIndex = this.parser.pos;\n\tvar text,\n\t\tendMatch = reEnd.exec(this.parser.source);\n\tif(endMatch) {\n\t\ttext = this.parser.source.substring(this.parser.pos,endMatch.index);\n\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t} else {\n\t\t// We didn't find the end of the definition, so we'll make it blank\n\t\ttext = \"\";\n\t}\n\t// Save the macro definition\n\treturn [{\n\t\ttype: \"set\",\n\t\tattributes: {\n\t\t\tname: {type: \"string\", value: this.match[1]},\n\t\t\tvalue: {type: \"string\", value: text}\n\t\t},\n\t\tchildren: [],\n\t\tparams: params,\n\t\tisMacroDefinition: true\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/prettyextlink.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/prettyextlink.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/prettyextlink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for external links. For example:\n\n```\n[ext[https://tiddlywiki.com/fractalveg.jpg]]\n[ext[Tooltip|https://tiddlywiki.com/fractalveg.jpg]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"prettyextlink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextLink = this.findNextLink(this.parser.source,startPos);\n\treturn this.nextLink ? this.nextLink.start : undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.nextLink.end;\n\treturn [this.nextLink];\n};\n\n/*\nFind the next link from the current position\n*/\nexports.findNextLink = function(source,pos) {\n\t// A regexp for finding candidate links\n\tvar reLookahead = /(\\[ext\\[)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a link\n\t\tvar link = this.parseLink(source,match.index);\n\t\t// Return success\n\t\tif(link) {\n\t\t\treturn link;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\n/*\nLook for an link at the specified position. Returns null if not found, otherwise returns {type: \"element\", tag: \"a\", attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseLink = function(source,pos) {\n\tvar token,\n\t\ttextNode = {\n\t\t\ttype: \"text\"\n\t\t},\n\t\tnode = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tstart: pos,\n\t\t\tattributes: {\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t},\n\t\t\tchildren: [textNode]\n\t\t};\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[ext[`\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[ext[\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Look ahead for the terminating `]]`\n\tvar closePos = source.indexOf(\"]]\",pos);\n\tif(closePos === -1) {\n\t\treturn null;\n\t}\n\t// Look for a `|` separating the tooltip\n\tvar splitPos = source.indexOf(\"|\",pos);\n\tif(splitPos === -1 || splitPos > closePos) {\n\t\tsplitPos = null;\n\t}\n\t// Pull out the tooltip and URL\n\tvar tooltip, URL;\n\tif(splitPos) {\n\t\tURL = source.substring(splitPos + 1,closePos).trim();\n\t\ttextNode.text = source.substring(pos,splitPos).trim();\n\t} else {\n\t\tURL = source.substring(pos,closePos).trim();\n\t\ttextNode.text = URL;\n\t}\n\tnode.attributes.href = {type: \"string\", value: URL};\n\tnode.attributes.target = {type: \"string\", value: \"_blank\"};\n\tnode.attributes.rel = {type: \"string\", value: \"noopener noreferrer\"};\n\t// Update the end position\n\tnode.end = closePos + 2;\n\treturn node;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/prettylink.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/prettylink.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/prettylink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for pretty links. For example:\n\n```\n[[Introduction]]\n\n[[Link description|TiddlerTitle]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"prettylink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\[\\[(.*?)(?:\\|(.*?))?\\]\\]/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Process the link\n\tvar text = this.match[1],\n\t\tlink = this.match[2] || text;\n\tif($tw.utils.isLinkExternal(link)) {\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tattributes: {\n\t\t\t\thref: {type: \"string\", value: link},\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t\ttarget: {type: \"string\", value: \"_blank\"},\n\t\t\t\trel: {type: \"string\", value: \"noopener noreferrer\"}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: text\n\t\t\t}]\n\t\t}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"link\",\n\t\t\tattributes: {\n\t\t\t\tto: {type: \"string\", value: link}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: text\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/quoteblock.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/quoteblock.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/quoteblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for quote blocks. For example:\n\n```\n\t<<<.optionalClass(es) optional cited from\n\ta quote\n\t<<<\n\t\n\t<<<.optionalClass(es)\n\ta quote\n\t<<< optional cited from\n```\n\nQuotes can be quoted by putting more <s\n\n```\n\t<<<\n\tQuote Level 1\n\t\n\t<<<<\n\tQuoteLevel 2\n\t<<<<\n\t\n\t<<<\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"quoteblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(<<<+)/mg;\n};\n\nexports.parse = function() {\n\tvar classes = [\"tc-quote\"];\n\t// Get all the details of the match\n\tvar reEndString = \"^\" + this.match[1] + \"(?!<)\";\n\t// Move past the <s\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t\n\t// Parse any classes, whitespace and then the optional cite itself\n\tclasses.push.apply(classes, this.parser.parseClasses());\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tvar cite = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// before handling the cite, parse the body of the quote\n\tvar tree= this.parser.parseBlocks(reEndString);\n\t// If we got a cite, put it before the text\n\tif(cite.length > 0) {\n\t\ttree.unshift({\n\t\t\ttype: \"element\",\n\t\t\ttag: \"cite\",\n\t\t\tchildren: cite\n\t\t});\n\t}\n\t// Parse any optional cite\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tcite = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// If we got a cite, push it\n\tif(cite.length > 0) {\n\t\ttree.push({\n\t\t\ttype: \"element\",\n\t\t\ttag: \"cite\",\n\t\t\tchildren: cite\n\t\t});\n\t}\n\t// Return the blockquote element\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"blockquote\",\n\t\tattributes: {\n\t\t\tclass: { type: \"string\", value: classes.join(\" \") },\n\t\t},\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/rules.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/rules.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/rules.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for rules specifications\n\n```\n\\rules except ruleone ruletwo rulethree\n\\rules only ruleone ruletwo rulethree\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"rules\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\rules[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse whitespace delimited tokens terminated by a line break\n\tvar reMatch = /[^\\S\\n]*(\\S+)|(\\r?\\n)/mg,\n\t\ttokens = [];\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\twhile(match && match.index === this.parser.pos) {\n\t\tthis.parser.pos = reMatch.lastIndex;\n\t\t// Exit if we've got the line break\n\t\tif(match[2]) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the token\n\t\tif(match[1]) {\n\t\t\ttokens.push(match[1]);\n\t\t}\n\t\t// Match the next token\n\t\tmatch = reMatch.exec(this.parser.source);\n\t}\n\t// Process the tokens\n\tif(tokens.length > 0) {\n\t\tthis.parser.amendRules(tokens[0],tokens.slice(1));\n\t}\n\t// No parse tree nodes to return\n\treturn [];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/styleblock.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/styleblock.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/styleblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for assigning styles and classes to paragraphs and other blocks. For example:\n\n```\n@@.myClass\n@@background-color:red;\nThis paragraph will have the CSS class `myClass`.\n\n* The `<ul>` around this list will also have the class `myClass`\n* List item 2\n\n@@\n```\n\nNote that classes and styles can be mixed subject to the rule that styles must precede classes. For example\n\n```\n@@.myFirstClass.mySecondClass\n@@width:100px;.myThirdClass\nThis is a paragraph\n@@\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"styleblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /@@((?:[^\\.\\r\\n\\s:]+:[^\\r\\n;]+;)+)?(?:\\.([^\\r\\n\\s]+))?\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEndString = \"^@@(?:\\\\r?\\\\n)?\";\n\tvar classes = [], styles = [];\n\tdo {\n\t\t// Get the class and style\n\t\tif(this.match[1]) {\n\t\t\tstyles.push(this.match[1]);\n\t\t}\n\t\tif(this.match[2]) {\n\t\t\tclasses.push(this.match[2].split(\".\").join(\" \"));\n\t\t}\n\t\t// Move past the match\n\t\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t\t// Look for another line of classes and styles\n\t\tthis.match = this.matchRegExp.exec(this.parser.source);\n\t} while(this.match && this.match.index === this.parser.pos);\n\t// Parse the body\n\tvar tree = this.parser.parseBlocks(reEndString);\n\tfor(var t=0; t<tree.length; t++) {\n\t\tif(classes.length > 0) {\n\t\t\t$tw.utils.addClassToParseTreeNode(tree[t],classes.join(\" \"));\n\t\t}\n\t\tif(styles.length > 0) {\n\t\t\t$tw.utils.addAttributeToParseTreeNode(tree[t],\"style\",styles.join(\"\"));\n\t\t}\n\t}\n\treturn tree;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/styleinline.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/styleinline.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/styleinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for assigning styles and classes to inline runs. For example:\n\n```\n@@.myClass This is some text with a class@@\n@@background-color:red;This is some text with a background colour@@\n@@width:100px;.myClass This is some text with a class and a width@@\n```\n\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"styleinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /@@((?:[^\\.\\r\\n\\s:]+:[^\\r\\n;]+;)+)?(\\.(?:[^\\r\\n\\s]+)\\s+)?/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /@@/g;\n\t// Get the styles and class\n\tvar stylesString = this.match[1],\n\t\tclassString = this.match[2] ? this.match[2].split(\".\").join(\" \") : undefined;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the run up to the terminator\n\tvar tree = this.parser.parseInlineRun(reEnd,{eatTerminator: true});\n\t// Return the classed span\n\tvar node = {\n\t\ttype: \"element\",\n\t\ttag: \"span\",\n\t\tattributes: {\n\t\t\t\"class\": {type: \"string\", value: \"tc-inline-style\"}\n\t\t},\n\t\tchildren: tree\n\t};\n\tif(classString) {\n\t\t$tw.utils.addClassToParseTreeNode(node,classString);\n\t}\n\tif(stylesString) {\n\t\t$tw.utils.addAttributeToParseTreeNode(node,\"style\",stylesString);\n\t}\n\treturn [node];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/syslink.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/syslink.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/syslink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for system tiddler links.\nCan be suppressed preceding them with `~`.\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"syslink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp(\n\t\t\"~?\\\\$:\\\\/[\" +\n\t\t$tw.config.textPrimitives.anyLetter.substr(1,$tw.config.textPrimitives.anyLetter.length - 2) +\n\t\t\"\\/._-]+\",\n\t\t\"mg\"\n\t);\n};\n\nexports.parse = function() {\n\tvar match = this.match[0];\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Create the link unless it is suppressed\n\tif(match.substr(0,1) === \"~\") {\n\t\treturn [{type: \"text\", text: match.substr(1)}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"link\",\n\t\t\tattributes: {\n\t\t\t\tto: {type: \"string\", value: match}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: match\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/table.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/table.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/table.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for tables.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"table\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\|(?:[^\\n]*)\\|(?:[fhck]?)\\r?(?:\\n|$)/mg;\n};\n\nvar processRow = function(prevColumns) {\n\tvar cellRegExp = /(?:\\|([^\\n\\|]*)\\|)|(\\|[fhck]?\\r?(?:\\n|$))/mg,\n\t\tcellTermRegExp = /((?:\\x20*)\\|)/mg,\n\t\ttree = [],\n\t\tcol = 0,\n\t\tcolSpanCount = 1,\n\t\tprevCell,\n\t\tvAlign;\n\t// Match a single cell\n\tcellRegExp.lastIndex = this.parser.pos;\n\tvar cellMatch = cellRegExp.exec(this.parser.source);\n\twhile(cellMatch && cellMatch.index === this.parser.pos) {\n\t\tif(cellMatch[1] === \"~\") {\n\t\t\t// Rowspan\n\t\t\tvar last = prevColumns[col];\n\t\t\tif(last) {\n\t\t\t\tlast.rowSpanCount++;\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"rowspan\",last.rowSpanCount);\n\t\t\t\tvAlign = $tw.utils.getAttributeValueFromParseTreeNode(last.element,\"valign\",\"center\");\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"valign\",vAlign);\n\t\t\t\tif(colSpanCount > 1) {\n\t\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"colspan\",colSpanCount);\n\t\t\t\t\tcolSpanCount = 1;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[1] === \">\") {\n\t\t\t// Colspan\n\t\t\tcolSpanCount++;\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[1] === \"<\" && prevCell) {\n\t\t\tcolSpanCount = 1 + $tw.utils.getAttributeValueFromParseTreeNode(prevCell,\"colspan\",1);\n\t\t\t$tw.utils.addAttributeToParseTreeNode(prevCell,\"colspan\",colSpanCount);\n\t\t\tcolSpanCount = 1;\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[2]) {\n\t\t\t// End of row\n\t\t\tif(prevCell && colSpanCount > 1) {\n\t\t\t\tif(prevCell.attributes && prevCell.attributes && prevCell.attributes.colspan) {\n\t\t\t\t\t\tcolSpanCount += prevCell.attributes.colspan.value;\n\t\t\t\t} else {\n\t\t\t\t\tcolSpanCount -= 1;\n\t\t\t\t}\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(prevCell,\"colspan\",colSpanCount);\n\t\t\t}\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t\tbreak;\n\t\t} else {\n\t\t\t// For ordinary cells, step beyond the opening `|`\n\t\t\tthis.parser.pos++;\n\t\t\t// Look for a space at the start of the cell\n\t\t\tvar spaceLeft = false;\n\t\t\tvAlign = null;\n\t\t\tif(this.parser.source.substr(this.parser.pos).search(/^\\^([^\\^]|\\^\\^)/) === 0) {\n\t\t\t\tvAlign = \"top\";\n\t\t\t} else if(this.parser.source.substr(this.parser.pos).search(/^,([^,]|,,)/) === 0) {\n\t\t\t\tvAlign = \"bottom\";\n\t\t\t}\n\t\t\tif(vAlign) {\n\t\t\t\tthis.parser.pos++;\n\t\t\t}\n\t\t\tvar chr = this.parser.source.substr(this.parser.pos,1);\n\t\t\twhile(chr === \" \") {\n\t\t\t\tspaceLeft = true;\n\t\t\t\tthis.parser.pos++;\n\t\t\t\tchr = this.parser.source.substr(this.parser.pos,1);\n\t\t\t}\n\t\t\t// Check whether this is a heading cell\n\t\t\tvar cell;\n\t\t\tif(chr === \"!\") {\n\t\t\t\tthis.parser.pos++;\n\t\t\t\tcell = {type: \"element\", tag: \"th\", children: []};\n\t\t\t} else {\n\t\t\t\tcell = {type: \"element\", tag: \"td\", children: []};\n\t\t\t}\n\t\t\ttree.push(cell);\n\t\t\t// Record information about this cell\n\t\t\tprevCell = cell;\n\t\t\tprevColumns[col] = {rowSpanCount:1,element:cell};\n\t\t\t// Check for a colspan\n\t\t\tif(colSpanCount > 1) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"colspan\",colSpanCount);\n\t\t\t\tcolSpanCount = 1;\n\t\t\t}\n\t\t\t// Parse the cell\n\t\t\tcell.children = this.parser.parseInlineRun(cellTermRegExp,{eatTerminator: true});\n\t\t\t// Set the alignment for the cell\n\t\t\tif(vAlign) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"valign\",vAlign);\n\t\t\t}\n\t\t\tif(this.parser.source.substr(this.parser.pos - 2,1) === \" \") { // spaceRight\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"align\",spaceLeft ? \"center\" : \"left\");\n\t\t\t} else if(spaceLeft) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"align\",\"right\");\n\t\t\t}\n\t\t\t// Move back to the closing `|`\n\t\t\tthis.parser.pos--;\n\t\t}\n\t\tcol++;\n\t\tcellRegExp.lastIndex = this.parser.pos;\n\t\tcellMatch = cellRegExp.exec(this.parser.source);\n\t}\n\treturn tree;\n};\n\nexports.parse = function() {\n\tvar rowContainerTypes = {\"c\":\"caption\", \"h\":\"thead\", \"\":\"tbody\", \"f\":\"tfoot\"},\n\t\ttable = {type: \"element\", tag: \"table\", children: []},\n\t\trowRegExp = /^\\|([^\\n]*)\\|([fhck]?)\\r?(?:\\n|$)/mg,\n\t\trowTermRegExp = /(\\|(?:[fhck]?)\\r?(?:\\n|$))/mg,\n\t\tprevColumns = [],\n\t\tcurrRowType,\n\t\trowContainer,\n\t\trowCount = 0;\n\t// Match the row\n\trowRegExp.lastIndex = this.parser.pos;\n\tvar rowMatch = rowRegExp.exec(this.parser.source);\n\twhile(rowMatch && rowMatch.index === this.parser.pos) {\n\t\tvar rowType = rowMatch[2];\n\t\t// Check if it is a class assignment\n\t\tif(rowType === \"k\") {\n\t\t\t$tw.utils.addClassToParseTreeNode(table,rowMatch[1]);\n\t\t\tthis.parser.pos = rowMatch.index + rowMatch[0].length;\n\t\t} else {\n\t\t\t// Otherwise, create a new row if this one is of a different type\n\t\t\tif(rowType !== currRowType) {\n\t\t\t\trowContainer = {type: \"element\", tag: rowContainerTypes[rowType], children: []};\n\t\t\t\ttable.children.push(rowContainer);\n\t\t\t\tcurrRowType = rowType;\n\t\t\t}\n\t\t\t// Is this a caption row?\n\t\t\tif(currRowType === \"c\") {\n\t\t\t\t// If so, move past the opening `|` of the row\n\t\t\t\tthis.parser.pos++;\n\t\t\t\t// Move the caption to the first row if it isn't already\n\t\t\t\tif(table.children.length !== 1) {\n\t\t\t\t\ttable.children.pop(); // Take rowContainer out of the children array\n\t\t\t\t\ttable.children.splice(0,0,rowContainer); // Insert it at the bottom\t\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\t// Set the alignment - TODO: figure out why TW did this\n//\t\t\t\trowContainer.attributes.align = rowCount === 0 ? \"top\" : \"bottom\";\n\t\t\t\t// Parse the caption\n\t\t\t\trowContainer.children = this.parser.parseInlineRun(rowTermRegExp,{eatTerminator: true});\n\t\t\t} else {\n\t\t\t\t// Create the row\n\t\t\t\tvar theRow = {type: \"element\", tag: \"tr\", children: []};\n\t\t\t\t$tw.utils.addClassToParseTreeNode(theRow,rowCount%2 ? \"oddRow\" : \"evenRow\");\n\t\t\t\trowContainer.children.push(theRow);\n\t\t\t\t// Process the row\n\t\t\t\ttheRow.children = processRow.call(this,prevColumns);\n\t\t\t\tthis.parser.pos = rowMatch.index + rowMatch[0].length;\n\t\t\t\t// Increment the row count\n\t\t\t\trowCount++;\n\t\t\t}\n\t\t}\n\t\trowMatch = rowRegExp.exec(this.parser.source);\n\t}\n\treturn [table];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/transcludeblock.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/transcludeblock.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/transcludeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for block-level transclusion. For example:\n\n```\n{{MyTiddler}}\n{{MyTiddler||TemplateTitle}}\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"transcludeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{([^\\{\\}\\|]*)(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}(?:\\r?\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar template = $tw.utils.trim(this.match[2]),\n\t\ttextRef = $tw.utils.trim(this.match[1]);\n\t// Prepare the transclude widget\n\tvar transcludeNode = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {},\n\t\t\tisBlock: true\n\t\t};\n\t// Prepare the tiddler widget\n\tvar tr, targetTitle, targetField, targetIndex, tiddlerNode;\n\tif(textRef) {\n\t\ttr = $tw.utils.parseTextReference(textRef);\n\t\ttargetTitle = tr.title;\n\t\ttargetField = tr.field;\n\t\ttargetIndex = tr.index;\n\t\ttiddlerNode = {\n\t\t\ttype: \"tiddler\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: targetTitle}\n\t\t\t},\n\t\t\tisBlock: true,\n\t\t\tchildren: [transcludeNode]\n\t\t};\n\t}\n\tif(template) {\n\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: template};\n\t\tif(textRef) {\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t} else {\n\t\tif(textRef) {\n\t\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: targetTitle};\n\t\t\tif(targetField) {\n\t\t\t\ttranscludeNode.attributes.field = {type: \"string\", value: targetField};\n\t\t\t}\n\t\t\tif(targetIndex) {\n\t\t\t\ttranscludeNode.attributes.index = {type: \"string\", value: targetIndex};\n\t\t\t}\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/transcludeinline.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/transcludeinline.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/transcludeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for inline-level transclusion. For example:\n\n```\n{{MyTiddler}}\n{{MyTiddler||TemplateTitle}}\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"transcludeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{([^\\{\\}\\|]*)(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar template = $tw.utils.trim(this.match[2]),\n\t\ttextRef = $tw.utils.trim(this.match[1]);\n\t// Prepare the transclude widget\n\tvar transcludeNode = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {}\n\t\t};\n\t// Prepare the tiddler widget\n\tvar tr, targetTitle, targetField, targetIndex, tiddlerNode;\n\tif(textRef) {\n\t\ttr = $tw.utils.parseTextReference(textRef);\n\t\ttargetTitle = tr.title;\n\t\ttargetField = tr.field;\n\t\ttargetIndex = tr.index;\n\t\ttiddlerNode = {\n\t\t\ttype: \"tiddler\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: targetTitle}\n\t\t\t},\n\t\t\tchildren: [transcludeNode]\n\t\t};\n\t}\n\tif(template) {\n\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: template};\n\t\tif(textRef) {\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t} else {\n\t\tif(textRef) {\n\t\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: targetTitle};\n\t\t\tif(targetField) {\n\t\t\t\ttranscludeNode.attributes.field = {type: \"string\", value: targetField};\n\t\t\t}\n\t\t\tif(targetIndex) {\n\t\t\t\ttranscludeNode.attributes.index = {type: \"string\", value: targetIndex};\n\t\t\t}\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/typedblock.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/typedblock.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/typedblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for typed blocks. For example:\n\n```\n$$$.js\nThis will be rendered as JavaScript\n$$$\n\n$$$.svg\n<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"150\" height=\"100\">\n  <circle cx=\"100\" cy=\"50\" r=\"40\" stroke=\"black\" stroke-width=\"2\" fill=\"red\" />\n</svg>\n$$$\n\n$$$text/vnd.tiddlywiki>text/html\nThis will be rendered as an //HTML representation// of WikiText\n$$$\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.name = \"typedblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\$\\$\\$([^ >\\r\\n]*)(?: *> *([^ \\r\\n]+))?\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /\\r?\\n\\$\\$\\$\\r?(?:\\n|$)/mg;\n\t// Save the type\n\tvar parseType = this.match[1],\n\t\trenderType = this.match[2];\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Look for the end of the block\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the block\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\t// Parse the block according to the specified type\n\tvar parser = this.parser.wiki.parseText(parseType,text,{defaultType: \"text/plain\"});\n\t// If there's no render type, just return the parse tree\n\tif(!renderType) {\n\t\treturn parser.tree;\n\t} else {\n\t\t// Otherwise, render to the rendertype and return in a <PRE> tag\n\t\tvar widgetNode = this.parser.wiki.makeWidget(parser),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\ttext = renderType === \"text/html\" ? container.innerHTML : container.textContent;\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"pre\",\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: text\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/whitespace.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/whitespace.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/whitespace.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for whitespace specifications\n\n```\n\\whitespace trim\n\\whitespace notrim\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"whitespace\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\whitespace[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\tvar self = this;\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse whitespace delimited tokens terminated by a line break\n\tvar reMatch = /[^\\S\\n]*(\\S+)|(\\r?\\n)/mg,\n\t\ttokens = [];\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\twhile(match && match.index === this.parser.pos) {\n\t\tthis.parser.pos = reMatch.lastIndex;\n\t\t// Exit if we've got the line break\n\t\tif(match[2]) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the token\n\t\tif(match[1]) {\n\t\t\ttokens.push(match[1]);\n\t\t}\n\t\t// Match the next token\n\t\tmatch = reMatch.exec(this.parser.source);\n\t}\n\t// Process the tokens\n\t$tw.utils.each(tokens,function(token) {\n\t\tswitch(token) {\n\t\t\tcase \"trim\":\n\t\t\t\tself.parser.configTrimWhiteSpace = true;\n\t\t\t\tbreak;\n\t\t\tcase \"notrim\":\n\t\t\t\tself.parser.configTrimWhiteSpace = false;\n\t\t\t\tbreak;\n\t\t}\n\t});\n\t// No parse tree nodes to return\n\treturn [];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/rules/wikilink.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/wikilink.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikilink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for wiki links. For example:\n\n```\nAWikiLink\nAnotherLink\n~SuppressedLink\n```\n\nPrecede a camel case word with `~` to prevent it from being recognised as a link.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"wikilink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp($tw.config.textPrimitives.unWikiLink + \"?\" + $tw.config.textPrimitives.wikiLink,\"mg\");\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get the details of the match\n\tvar linkText = this.match[0];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// If the link starts with the unwikilink character then just output it as plain text\n\tif(linkText.substr(0,1) === $tw.config.textPrimitives.unWikiLink) {\n\t\treturn [{type: \"text\", text: linkText.substr(1)}];\n\t}\n\t// If the link has been preceded with a blocked letter then don't treat it as a link\n\tif(this.match.index > 0) {\n\t\tvar preRegExp = new RegExp($tw.config.textPrimitives.blockPrefixLetters,\"mg\");\n\t\tpreRegExp.lastIndex = this.match.index-1;\n\t\tvar preMatch = preRegExp.exec(this.parser.source);\n\t\tif(preMatch && preMatch.index === this.match.index-1) {\n\t\t\treturn [{type: \"text\", text: linkText}];\n\t\t}\n\t}\n\treturn [{\n\t\ttype: \"link\",\n\t\tattributes: {\n\t\t\tto: {type: \"string\", value: linkText}\n\t\t},\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: linkText\n\t\t}]\n\t}];\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikirule"
        },
        "$:/core/modules/parsers/wikiparser/wikiparser.js": {
            "title": "$:/core/modules/parsers/wikiparser/wikiparser.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/wikiparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe wiki text parser processes blocks of source text into a parse tree.\n\nThe parse tree is made up of nested arrays of these JavaScript objects:\n\n\t{type: \"element\", tag: <string>, attributes: {}, children: []} - an HTML element\n\t{type: \"text\", text: <string>} - a text node\n\t{type: \"entity\", value: <string>} - an entity\n\t{type: \"raw\", html: <string>} - raw HTML\n\nAttributes are stored as hashmaps of the following objects:\n\n\t{type: \"string\", value: <string>} - literal string\n\t{type: \"indirect\", textReference: <textReference>} - indirect through a text reference\n\t{type: \"macro\", macro: <TBD>} - indirect through a macro invocation\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar WikiParser = function(type,text,options) {\n\tthis.wiki = options.wiki;\n\tvar self = this;\n\t// Check for an externally linked tiddler\n\tif($tw.browser && (text || \"\") === \"\" && options._canonical_uri) {\n\t\tthis.loadRemoteTiddler(options._canonical_uri);\n\t\ttext = $tw.language.getRawString(\"LazyLoadingWarning\");\n\t}\n\t// Initialise the classes if we don't have them already\n\tif(!this.pragmaRuleClasses) {\n\t\tWikiParser.prototype.pragmaRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"pragma\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.pragmaRuleClasses,\"$:/config/WikiParserRules/Pragmas/\");\n\t}\n\tif(!this.blockRuleClasses) {\n\t\tWikiParser.prototype.blockRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"block\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.blockRuleClasses,\"$:/config/WikiParserRules/Block/\");\n\t}\n\tif(!this.inlineRuleClasses) {\n\t\tWikiParser.prototype.inlineRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"inline\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.inlineRuleClasses,\"$:/config/WikiParserRules/Inline/\");\n\t}\n\t// Save the parse text\n\tthis.type = type || \"text/vnd.tiddlywiki\";\n\tthis.source = text || \"\";\n\tthis.sourceLength = this.source.length;\n\t// Flag for ignoring whitespace\n\tthis.configTrimWhiteSpace = false;\n\t// Set current parse position\n\tthis.pos = 0;\n\t// Instantiate the pragma parse rules\n\tthis.pragmaRules = this.instantiateRules(this.pragmaRuleClasses,\"pragma\",0);\n\t// Instantiate the parser block and inline rules\n\tthis.blockRules = this.instantiateRules(this.blockRuleClasses,\"block\",0);\n\tthis.inlineRules = this.instantiateRules(this.inlineRuleClasses,\"inline\",0);\n\t// Parse any pragmas\n\tthis.tree = [];\n\tvar topBranch = this.parsePragmas();\n\t// Parse the text into inline runs or blocks\n\tif(options.parseAsInline) {\n\t\ttopBranch.push.apply(topBranch,this.parseInlineRun());\n\t} else {\n\t\ttopBranch.push.apply(topBranch,this.parseBlocks());\n\t}\n\t// Return the parse tree\n};\n\n/*\n*/\nWikiParser.prototype.loadRemoteTiddler = function(url) {\n\tvar self = this;\n\t$tw.utils.httpRequest({\n\t\turl: url,\n\t\ttype: \"GET\",\n\t\tcallback: function(err,data) {\n\t\t\tif(!err) {\n\t\t\t\tvar tiddlers = self.wiki.deserializeTiddlers(\".tid\",data,self.wiki.getCreationFields());\n\t\t\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\t\t\ttiddler[\"_canonical_uri\"] = url;\n\t\t\t\t});\n\t\t\t\tif(tiddlers) {\n\t\t\t\t\tself.wiki.addTiddlers(tiddlers);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\n*/\nWikiParser.prototype.setupRules = function(proto,configPrefix) {\n\tvar self = this;\n\tif(!$tw.safemode) {\n\t\t$tw.utils.each(proto,function(object,name) {\n\t\t\tif(self.wiki.getTiddlerText(configPrefix + name,\"enable\") !== \"enable\") {\n\t\t\t\tdelete proto[name];\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nInstantiate an array of parse rules\n*/\nWikiParser.prototype.instantiateRules = function(classes,type,startPos) {\n\tvar rulesInfo = [],\n\t\tself = this;\n\t$tw.utils.each(classes,function(RuleClass) {\n\t\t// Instantiate the rule\n\t\tvar rule = new RuleClass(self);\n\t\trule.is = {};\n\t\trule.is[type] = true;\n\t\trule.init(self);\n\t\tvar matchIndex = rule.findNextMatch(startPos);\n\t\tif(matchIndex !== undefined) {\n\t\t\trulesInfo.push({\n\t\t\t\trule: rule,\n\t\t\t\tmatchIndex: matchIndex\n\t\t\t});\n\t\t}\n\t});\n\treturn rulesInfo;\n};\n\n/*\nSkip any whitespace at the current position. Options are:\n\ttreatNewlinesAsNonWhitespace: true if newlines are NOT to be treated as whitespace\n*/\nWikiParser.prototype.skipWhitespace = function(options) {\n\toptions = options || {};\n\tvar whitespaceRegExp = options.treatNewlinesAsNonWhitespace ? /([^\\S\\n]+)/mg : /(\\s+)/mg;\n\twhitespaceRegExp.lastIndex = this.pos;\n\tvar whitespaceMatch = whitespaceRegExp.exec(this.source);\n\tif(whitespaceMatch && whitespaceMatch.index === this.pos) {\n\t\tthis.pos = whitespaceRegExp.lastIndex;\n\t}\n};\n\n/*\nGet the next match out of an array of parse rule instances\n*/\nWikiParser.prototype.findNextMatch = function(rules,startPos) {\n\t// Find the best matching rule by finding the closest match position\n\tvar matchingRule,\n\t\tmatchingRulePos = this.sourceLength;\n\t// Step through each rule\n\tfor(var t=0; t<rules.length; t++) {\n\t\tvar ruleInfo = rules[t];\n\t\t// Ask the rule to get the next match if we've moved past the current one\n\t\tif(ruleInfo.matchIndex !== undefined  && ruleInfo.matchIndex < startPos) {\n\t\t\truleInfo.matchIndex = ruleInfo.rule.findNextMatch(startPos);\n\t\t}\n\t\t// Adopt this match if it's closer than the current best match\n\t\tif(ruleInfo.matchIndex !== undefined && ruleInfo.matchIndex <= matchingRulePos) {\n\t\t\tmatchingRule = ruleInfo;\n\t\t\tmatchingRulePos = ruleInfo.matchIndex;\n\t\t}\n\t}\n\treturn matchingRule;\n};\n\n/*\nParse any pragmas at the beginning of a block of parse text\n*/\nWikiParser.prototype.parsePragmas = function() {\n\tvar currentTreeBranch = this.tree;\n\twhile(true) {\n\t\t// Skip whitespace\n\t\tthis.skipWhitespace();\n\t\t// Check for the end of the text\n\t\tif(this.pos >= this.sourceLength) {\n\t\t\tbreak;\n\t\t}\n\t\t// Check if we've arrived at a pragma rule match\n\t\tvar nextMatch = this.findNextMatch(this.pragmaRules,this.pos);\n\t\t// If not, just exit\n\t\tif(!nextMatch || nextMatch.matchIndex !== this.pos) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the pragma rule\n\t\tvar subTree = nextMatch.rule.parse();\n\t\tif(subTree.length > 0) {\n\t\t\t// Quick hack; we only cope with a single parse tree node being returned, which is true at the moment\n\t\t\tcurrentTreeBranch.push.apply(currentTreeBranch,subTree);\n\t\t\tsubTree[0].children = [];\n\t\t\tcurrentTreeBranch = subTree[0].children;\n\t\t}\n\t}\n\treturn currentTreeBranch;\n};\n\n/*\nParse a block from the current position\n\tterminatorRegExpString: optional regular expression string that identifies the end of plain paragraphs. Must not include capturing parenthesis\n*/\nWikiParser.prototype.parseBlock = function(terminatorRegExpString) {\n\tvar terminatorRegExp = terminatorRegExpString ? new RegExp(\"(\" + terminatorRegExpString + \"|\\\\r?\\\\n\\\\r?\\\\n)\",\"mg\") : /(\\r?\\n\\r?\\n)/mg;\n\tthis.skipWhitespace();\n\tif(this.pos >= this.sourceLength) {\n\t\treturn [];\n\t}\n\t// Look for a block rule that applies at the current position\n\tvar nextMatch = this.findNextMatch(this.blockRules,this.pos);\n\tif(nextMatch && nextMatch.matchIndex === this.pos) {\n\t\treturn nextMatch.rule.parse();\n\t}\n\t// Treat it as a paragraph if we didn't find a block rule\n\treturn [{type: \"element\", tag: \"p\", children: this.parseInlineRun(terminatorRegExp)}];\n};\n\n/*\nParse a series of blocks of text until a terminating regexp is encountered or the end of the text\n\tterminatorRegExpString: terminating regular expression\n*/\nWikiParser.prototype.parseBlocks = function(terminatorRegExpString) {\n\tif(terminatorRegExpString) {\n\t\treturn this.parseBlocksTerminated(terminatorRegExpString);\n\t} else {\n\t\treturn this.parseBlocksUnterminated();\n\t}\n};\n\n/*\nParse a block from the current position to the end of the text\n*/\nWikiParser.prototype.parseBlocksUnterminated = function() {\n\tvar tree = [];\n\twhile(this.pos < this.sourceLength) {\n\t\ttree.push.apply(tree,this.parseBlock());\n\t}\n\treturn tree;\n};\n\n/*\nParse blocks of text until a terminating regexp is encountered\n*/\nWikiParser.prototype.parseBlocksTerminated = function(terminatorRegExpString) {\n\tvar terminatorRegExp = new RegExp(\"(\" + terminatorRegExpString + \")\",\"mg\"),\n\t\ttree = [];\n\t// Skip any whitespace\n\tthis.skipWhitespace();\n\t//  Check if we've got the end marker\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar match = terminatorRegExp.exec(this.source);\n\t// Parse the text into blocks\n\twhile(this.pos < this.sourceLength && !(match && match.index === this.pos)) {\n\t\tvar blocks = this.parseBlock(terminatorRegExpString);\n\t\ttree.push.apply(tree,blocks);\n\t\t// Skip any whitespace\n\t\tthis.skipWhitespace();\n\t\t//  Check if we've got the end marker\n\t\tterminatorRegExp.lastIndex = this.pos;\n\t\tmatch = terminatorRegExp.exec(this.source);\n\t}\n\tif(match && match.index === this.pos) {\n\t\tthis.pos = match.index + match[0].length;\n\t}\n\treturn tree;\n};\n\n/*\nParse a run of text at the current position\n\tterminatorRegExp: a regexp at which to stop the run\n\toptions: see below\nOptions available:\n\teatTerminator: move the parse position past any encountered terminator (default false)\n*/\nWikiParser.prototype.parseInlineRun = function(terminatorRegExp,options) {\n\tif(terminatorRegExp) {\n\t\treturn this.parseInlineRunTerminated(terminatorRegExp,options);\n\t} else {\n\t\treturn this.parseInlineRunUnterminated(options);\n\t}\n};\n\nWikiParser.prototype.parseInlineRunUnterminated = function(options) {\n\tvar tree = [];\n\t// Find the next occurrence of an inline rule\n\tvar nextMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t// Loop around the matches until we've reached the end of the text\n\twhile(this.pos < this.sourceLength && nextMatch) {\n\t\t// Process the text preceding the run rule\n\t\tif(nextMatch.matchIndex > this.pos) {\n\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,nextMatch.matchIndex));\n\t\t\tthis.pos = nextMatch.matchIndex;\n\t\t}\n\t\t// Process the run rule\n\t\ttree.push.apply(tree,nextMatch.rule.parse());\n\t\t// Look for the next run rule\n\t\tnextMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t}\n\t// Process the remaining text\n\tif(this.pos < this.sourceLength) {\n\t\tthis.pushTextWidget(tree,this.source.substr(this.pos));\n\t}\n\tthis.pos = this.sourceLength;\n\treturn tree;\n};\n\nWikiParser.prototype.parseInlineRunTerminated = function(terminatorRegExp,options) {\n\toptions = options || {};\n\tvar tree = [];\n\t// Find the next occurrence of the terminator\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar terminatorMatch = terminatorRegExp.exec(this.source);\n\t// Find the next occurrence of a inlinerule\n\tvar inlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t// Loop around until we've reached the end of the text\n\twhile(this.pos < this.sourceLength && (terminatorMatch || inlineRuleMatch)) {\n\t\t// Return if we've found the terminator, and it precedes any inline rule match\n\t\tif(terminatorMatch) {\n\t\t\tif(!inlineRuleMatch || inlineRuleMatch.matchIndex >= terminatorMatch.index) {\n\t\t\t\tif(terminatorMatch.index > this.pos) {\n\t\t\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,terminatorMatch.index));\n\t\t\t\t}\n\t\t\t\tthis.pos = terminatorMatch.index;\n\t\t\t\tif(options.eatTerminator) {\n\t\t\t\t\tthis.pos += terminatorMatch[0].length;\n\t\t\t\t}\n\t\t\t\treturn tree;\n\t\t\t}\n\t\t}\n\t\t// Process any inline rule, along with the text preceding it\n\t\tif(inlineRuleMatch) {\n\t\t\t// Preceding text\n\t\t\tif(inlineRuleMatch.matchIndex > this.pos) {\n\t\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,inlineRuleMatch.matchIndex));\n\t\t\t\tthis.pos = inlineRuleMatch.matchIndex;\n\t\t\t}\n\t\t\t// Process the inline rule\n\t\t\ttree.push.apply(tree,inlineRuleMatch.rule.parse());\n\t\t\t// Look for the next inline rule\n\t\t\tinlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t\t\t// Look for the next terminator match\n\t\t\tterminatorRegExp.lastIndex = this.pos;\n\t\t\tterminatorMatch = terminatorRegExp.exec(this.source);\n\t\t}\n\t}\n\t// Process the remaining text\n\tif(this.pos < this.sourceLength) {\n\t\tthis.pushTextWidget(tree,this.source.substr(this.pos));\n\t}\n\tthis.pos = this.sourceLength;\n\treturn tree;\n};\n\n/*\nPush a text widget onto an array, respecting the configTrimWhiteSpace setting\n*/\nWikiParser.prototype.pushTextWidget = function(array,text) {\n\tif(this.configTrimWhiteSpace) {\n\t\ttext = $tw.utils.trim(text);\n\t}\n\tif(text) {\n\t\tarray.push({type: \"text\", text: text});\t\t\n\t}\n};\n\n/*\nParse zero or more class specifiers `.classname`\n*/\nWikiParser.prototype.parseClasses = function() {\n\tvar classRegExp = /\\.([^\\s\\.]+)/mg,\n\t\tclassNames = [];\n\tclassRegExp.lastIndex = this.pos;\n\tvar match = classRegExp.exec(this.source);\n\twhile(match && match.index === this.pos) {\n\t\tthis.pos = match.index + match[0].length;\n\t\tclassNames.push(match[1]);\n\t\tmatch = classRegExp.exec(this.source);\n\t}\n\treturn classNames;\n};\n\n/*\nAmend the rules used by this instance of the parser\n\ttype: `only` keeps just the named rules, `except` keeps all but the named rules\n\tnames: array of rule names\n*/\nWikiParser.prototype.amendRules = function(type,names) {\n\tnames = names || [];\n\t// Define the filter function\n\tvar target;\n\tif(type === \"only\") {\n\t\ttarget = true;\n\t} else if(type === \"except\") {\n\t\ttarget = false;\n\t} else {\n\t\treturn;\n\t}\n\t// Define a function to process each of our rule arrays\n\tvar processRuleArray = function(ruleArray) {\n\t\tfor(var t=ruleArray.length-1; t>=0; t--) {\n\t\t\tif((names.indexOf(ruleArray[t].rule.name) === -1) === target) {\n\t\t\t\truleArray.splice(t,1);\n\t\t\t}\n\t\t}\n\t};\n\t// Process each rule array\n\tprocessRuleArray(this.pragmaRules);\n\tprocessRuleArray(this.blockRules);\n\tprocessRuleArray(this.inlineRules);\n};\n\nexports[\"text/vnd.tiddlywiki\"] = WikiParser;\n\n})();\n\n",
            "type": "application/javascript",
            "module-type": "parser"
        },
        "$:/core/modules/parsers/wikiparser/rules/wikirulebase.js": {
            "title": "$:/core/modules/parsers/wikiparser/rules/wikirulebase.js",
            "text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikirulebase.js\ntype: application/javascript\nmodule-type: global\n\nBase class for wiki parser rules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nThis constructor is always overridden with a blank constructor, and so shouldn't be used\n*/\nvar WikiRuleBase = function() {\n};\n\n/*\nTo be overridden by individual rules\n*/\nWikiRuleBase.prototype.init = function(parser) {\n\tthis.parser = parser;\n};\n\n/*\nDefault implementation of findNextMatch uses RegExp matching\n*/\nWikiRuleBase.prototype.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\treturn this.match ? this.match.index : undefined;\n};\n\nexports.WikiRuleBase = WikiRuleBase;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/pluginswitcher.js": {
            "title": "$:/core/modules/pluginswitcher.js",
            "text": "/*\\\ntitle: $:/core/modules/pluginswitcher.js\ntype: application/javascript\nmodule-type: global\n\nManages switching plugins for themes and languages.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\noptions:\nwiki: wiki store to be used\npluginType: type of plugin to be switched\ncontrollerTitle: title of tiddler used to control switching of this resource\ndefaultPlugins: array of default plugins to be used if nominated plugin isn't found\nonSwitch: callback when plugin is switched (single parameter is array of plugin titles)\n*/\nfunction PluginSwitcher(options) {\n\tthis.wiki = options.wiki;\n\tthis.pluginType = options.pluginType;\n\tthis.controllerTitle = options.controllerTitle;\n\tthis.defaultPlugins = options.defaultPlugins || [];\n\tthis.onSwitch = options.onSwitch;\n\t// Switch to the current plugin\n\tthis.switchPlugins();\n\t// Listen for changes to the selected plugin\n\tvar self = this;\n\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,self.controllerTitle)) {\n\t\t\tself.switchPlugins();\n\t\t}\n\t});\n}\n\nPluginSwitcher.prototype.switchPlugins = function() {\n\t// Get the name of the current theme\n\tvar selectedPluginTitle = this.wiki.getTiddlerText(this.controllerTitle);\n\t// If it doesn't exist, then fallback to one of the default themes\n\tvar index = 0;\n\twhile(!this.wiki.getTiddler(selectedPluginTitle) && index < this.defaultPlugins.length) {\n\t\tselectedPluginTitle = this.defaultPlugins[index++];\n\t}\n\t// Accumulate the titles of the plugins that we need to load\n\tvar plugins = [],\n\t\tself = this,\n\t\taccumulatePlugin = function(title) {\n\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\tif(tiddler && tiddler.isPlugin() && plugins.indexOf(title) === -1) {\n\t\t\t\tplugins.push(title);\n\t\t\t\tvar pluginInfo = JSON.parse(self.wiki.getTiddlerText(title)),\n\t\t\t\t\tdependents = $tw.utils.parseStringArray(tiddler.fields.dependents || \"\");\n\t\t\t\t$tw.utils.each(dependents,function(title) {\n\t\t\t\t\taccumulatePlugin(title);\n\t\t\t\t});\n\t\t\t}\n\t\t};\n\taccumulatePlugin(selectedPluginTitle);\n\t// Read the plugin info for the incoming plugins\n\tvar changes = $tw.wiki.readPluginInfo(plugins);\n\t// Unregister any existing theme tiddlers\n\tvar unregisteredTiddlers = $tw.wiki.unregisterPluginTiddlers(this.pluginType);\n\t// Register any new theme tiddlers\n\tvar registeredTiddlers = $tw.wiki.registerPluginTiddlers(this.pluginType,plugins);\n\t// Unpack the current theme tiddlers\n\t$tw.wiki.unpackPluginTiddlers();\n\t// Call the switch handler\n\tif(this.onSwitch) {\n\t\tthis.onSwitch(plugins);\n\t}\n};\n\nexports.PluginSwitcher = PluginSwitcher;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/saver-handler.js": {
            "title": "$:/core/modules/saver-handler.js",
            "text": "/*\\\ntitle: $:/core/modules/saver-handler.js\ntype: application/javascript\nmodule-type: global\n\nThe saver handler tracks changes to the store and handles saving the entire wiki via saver modules.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInstantiate the saver handler with the following options:\nwiki: wiki to be synced\ndirtyTracking: true if dirty tracking should be performed\n*/\nfunction SaverHandler(options) {\n\tvar self = this;\n\tthis.wiki = options.wiki;\n\tthis.dirtyTracking = options.dirtyTracking;\n\tthis.preloadDirty = options.preloadDirty || [];\n\tthis.pendingAutoSave = false;\n\t// Make a logger\n\tthis.logger = new $tw.utils.Logger(\"saver-handler\");\n\t// Initialise our savers\n\tif($tw.browser) {\n\t\tthis.initSavers();\n\t}\n\t// Only do dirty tracking if required\n\tif($tw.browser && this.dirtyTracking) {\n\t\t// Compile the dirty tiddler filter\n\t\tthis.filterFn = this.wiki.compileFilter(this.wiki.getTiddlerText(this.titleSyncFilter));\n\t\t// Count of changes that have not yet been saved\n\t\tvar filteredChanges = self.filterFn.call(self.wiki,function(iterator) {\n\t\t\t\t$tw.utils.each(self.preloadDirty,function(title) {\n\t\t\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\t\t\titerator(tiddler,title);\n\t\t\t\t});\n\t\t});\n\t\tthis.numChanges = filteredChanges.length;\n\t\t// Listen out for changes to tiddlers\n\t\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\t\t// Filter the changes so that we only count changes to tiddlers that we care about\n\t\t\tvar filteredChanges = self.filterFn.call(self.wiki,function(iterator) {\n\t\t\t\t$tw.utils.each(changes,function(change,title) {\n\t\t\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\t\t\titerator(tiddler,title);\n\t\t\t\t});\n\t\t\t});\n\t\t\t// Adjust the number of changes\n\t\t\tself.numChanges += filteredChanges.length;\n\t\t\tself.updateDirtyStatus();\n\t\t\t// Do any autosave if one is pending and there's no more change events\n\t\t\tif(self.pendingAutoSave && self.wiki.getSizeOfTiddlerEventQueue() === 0) {\n\t\t\t\t// Check if we're dirty\n\t\t\t\tif(self.numChanges > 0) {\n\t\t\t\t\tself.saveWiki({\n\t\t\t\t\t\tmethod: \"autosave\",\n\t\t\t\t\t\tdownloadType: \"text/plain\"\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tself.pendingAutoSave = false;\n\t\t\t}\n\t\t});\n\t\t// Listen for the autosave event\n\t\t$tw.rootWidget.addEventListener(\"tm-auto-save-wiki\",function(event) {\n\t\t\t// Do the autosave unless there are outstanding tiddler change events\n\t\t\tif(self.wiki.getSizeOfTiddlerEventQueue() === 0) {\n\t\t\t\t// Check if we're dirty\n\t\t\t\tif(self.numChanges > 0) {\n\t\t\t\t\tself.saveWiki({\n\t\t\t\t\t\tmethod: \"autosave\",\n\t\t\t\t\t\tdownloadType: \"text/plain\"\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// Otherwise put ourselves in the \"pending autosave\" state and wait for the change event before we do the autosave\n\t\t\t\tself.pendingAutoSave = true;\n\t\t\t}\n\t\t});\n\t\t// Set up our beforeunload handler\n\t\t$tw.addUnloadTask(function(event) {\n\t\t\tvar confirmationMessage;\n\t\t\tif(self.isDirty()) {\n\t\t\t\tconfirmationMessage = $tw.language.getString(\"UnsavedChangesWarning\");\n\t\t\t\tevent.returnValue = confirmationMessage; // Gecko\n\t\t\t}\n\t\t\treturn confirmationMessage;\n\t\t});\n\t}\n\t// Install the save action handlers\n\tif($tw.browser) {\n\t\t$tw.rootWidget.addEventListener(\"tm-save-wiki\",function(event) {\n\t\t\tself.saveWiki({\n\t\t\t\ttemplate: event.param,\n\t\t\t\tdownloadType: \"text/plain\",\n\t\t\t\tvariables: event.paramObject\n\t\t\t});\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-download-file\",function(event) {\n\t\t\tself.saveWiki({\n\t\t\t\tmethod: \"download\",\n\t\t\t\ttemplate: event.param,\n\t\t\t\tdownloadType: \"text/plain\",\n\t\t\t\tvariables: event.paramObject\n\t\t\t});\n\t\t});\n\t}\n}\n\nSaverHandler.prototype.titleSyncFilter = \"$:/config/SaverFilter\";\nSaverHandler.prototype.titleAutoSave = \"$:/config/AutoSave\";\nSaverHandler.prototype.titleSavedNotification = \"$:/language/Notifications/Save/Done\";\n\n/*\nSelect the appropriate saver modules and set them up\n*/\nSaverHandler.prototype.initSavers = function(moduleType) {\n\tmoduleType = moduleType || \"saver\";\n\t// Instantiate the available savers\n\tthis.savers = [];\n\tvar self = this;\n\t$tw.modules.forEachModuleOfType(moduleType,function(title,module) {\n\t\tif(module.canSave(self)) {\n\t\t\tself.savers.push(module.create(self.wiki));\n\t\t}\n\t});\n\t// Sort the savers into priority order\n\tthis.savers.sort(function(a,b) {\n\t\tif(a.info.priority < b.info.priority) {\n\t\t\treturn -1;\n\t\t} else {\n\t\t\tif(a.info.priority > b.info.priority) {\n\t\t\t\treturn +1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nSave the wiki contents. Options are:\n\tmethod: \"save\", \"autosave\" or \"download\"\n\ttemplate: the tiddler containing the template to save\n\tdownloadType: the content type for the saved file\n*/\nSaverHandler.prototype.saveWiki = function(options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tmethod = options.method || \"save\";\n\t// Ignore autosave if disabled\n\tif(method === \"autosave\" && ($tw.config.disableAutoSave || this.wiki.getTiddlerText(this.titleAutoSave,\"yes\") !== \"yes\")) {\n\t\treturn false;\n\t}\n\tvar\tvariables = options.variables || {},\n\t\ttemplate = options.template || \"$:/core/save/all\",\n\t\tdownloadType = options.downloadType || \"text/plain\",\n\t\ttext = this.wiki.renderTiddler(downloadType,template,options),\n\t\tcallback = function(err) {\n\t\t\tif(err) {\n\t\t\t\talert($tw.language.getString(\"Error/WhileSaving\") + \":\\n\\n\" + err);\n\t\t\t} else {\n\t\t\t\t// Clear the task queue if we're saving (rather than downloading)\n\t\t\t\tif(method !== \"download\") {\n\t\t\t\t\tself.numChanges = 0;\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t}\n\t\t\t\t$tw.notifier.display(self.titleSavedNotification);\n\t\t\t\tif(options.callback) {\n\t\t\t\t\toptions.callback();\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t// Call the highest priority saver that supports this method\n\tfor(var t=this.savers.length-1; t>=0; t--) {\n\t\tvar saver = this.savers[t];\n\t\tif(saver.info.capabilities.indexOf(method) !== -1 && saver.save(text,method,callback,{variables: {filename: variables.filename}})) {\n\t\t\tthis.logger.log(\"Saving wiki with method\",method,\"through saver\",saver.info.name);\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nChecks whether the wiki is dirty (ie the window shouldn't be closed)\n*/\nSaverHandler.prototype.isDirty = function() {\n\treturn this.numChanges > 0;\n};\n\n/*\nUpdate the document body with the class \"tc-dirty\" if the wiki has unsaved/unsynced changes\n*/\nSaverHandler.prototype.updateDirtyStatus = function() {\n\tvar self = this;\n\tif($tw.browser) {\n\t\t$tw.utils.toggleClass(document.body,\"tc-dirty\",this.isDirty());\n\t\t$tw.utils.each($tw.windows,function(win) {\n\t\t\t$tw.utils.toggleClass(win.document.body,\"tc-dirty\",self.isDirty());\n\t\t});\n\t}\n};\n\nexports.SaverHandler = SaverHandler;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/savers/andtidwiki.js": {
            "title": "$:/core/modules/savers/andtidwiki.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/andtidwiki.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the AndTidWiki Android app\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar AndTidWiki = function(wiki) {\n};\n\nAndTidWiki.prototype.save = function(text,method,callback,options) {\n\tvar filename = options && options.variables ? options.variables.filename : null;\n\tif (method === \"download\") {\n\t\t// Support download\n\t\tif (window.twi.saveDownload) {\n\t\t\ttry {\n\t\t\t\twindow.twi.saveDownload(text,filename);\n\t\t\t} catch(err) {\n\t\t\t\tif (err.message === \"Method not found\") {\n\t\t\t\t\twindow.twi.saveDownload(text);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tvar link = document.createElement(\"a\");\n\t\t\tlink.setAttribute(\"href\",\"data:text/plain,\" + encodeURIComponent(text));\n\t\t\tif (filename) {\n\t\t\t    link.setAttribute(\"download\",filename);\n\t\t\t}\n\t\t\tdocument.body.appendChild(link);\n\t\t\tlink.click();\n\t\t\tdocument.body.removeChild(link);\n\t\t}\n\t} else if (window.twi.saveWiki) {\n\t\t// Direct save in Tiddloid\n\t\twindow.twi.saveWiki(text);\n\t} else {\n\t\t// Get the pathname of this document\n\t\tvar pathname = decodeURIComponent(document.location.toString().split(\"#\")[0]);\n\t\t// Strip the file://\n\t\tif(pathname.indexOf(\"file://\") === 0) {\n\t\t\tpathname = pathname.substr(7);\n\t\t}\n\t\t// Strip any query or location part\n\t\tvar p = pathname.indexOf(\"?\");\n\t\tif(p !== -1) {\n\t\t\tpathname = pathname.substr(0,p);\n\t\t}\n\t\tp = pathname.indexOf(\"#\");\n\t\tif(p !== -1) {\n\t\t\tpathname = pathname.substr(0,p);\n\t\t}\n\t\t// Save the file\n\t\twindow.twi.saveFile(pathname,text);\n\t}\n\t// Call the callback\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nAndTidWiki.prototype.info = {\n\tname: \"andtidwiki\",\n\tpriority: 1600,\n\tcapabilities: [\"save\", \"autosave\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.twi && !!window.twi.saveFile;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new AndTidWiki(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/beaker.js": {
            "title": "$:/core/modules/savers/beaker.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/beaker.js\ntype: application/javascript\nmodule-type: saver\n\nSaves files using the Beaker browser's (https://beakerbrowser.com) Dat protocol (https://datproject.org/)\nCompatible with beaker >= V0.7.2\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSet up the saver\n*/\nvar BeakerSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nBeakerSaver.prototype.save = function(text,method,callback) {\n\tvar dat = new DatArchive(\"\" + window.location),\n\t\tpathname = (\"\" + window.location.pathname).split(\"#\")[0];\n\tdat.stat(pathname).then(function(value) {\n\t\tif(value.isDirectory()) {\n\t\t\tpathname = pathname + \"/index.html\";\n\t\t}\n\t\tdat.writeFile(pathname,text,\"utf8\").then(function(value) {\n\t\t\tcallback(null);\n\t\t},function(reason) {\n\t\t\tcallback(\"Beaker Saver Write Error: \" + reason);\n\t\t});\n\t},function(reason) {\n\t\tcallback(\"Beaker Saver Stat Error: \" + reason);\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nBeakerSaver.prototype.info = {\n\tname: \"beaker\",\n\tpriority: 3000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.DatArchive && location.protocol===\"dat:\";\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new BeakerSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/custom.js": {
            "title": "$:/core/modules/savers/custom.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/custom.js\ntype: application/javascript\nmodule-type: saver\n\nLooks for `window.$tw.customSaver` first on the current window, then\non the parent window (of an iframe). If present, the saver must define\n\tsave: function(text,method,callback) { ... }\nand the saver may define\n\tpriority: number\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar findSaver = function(window) {\n\ttry {\n\t\treturn window && window.$tw && window.$tw.customSaver;\n\t} catch (err) {\n\t\t// Catching the exception is the most reliable way to detect cross-origin iframe errors.\n\t\t// For example, instead of saying that `window.parent.$tw` is undefined, Firefox will throw\n\t\t//   Uncaught DOMException: Permission denied to access property \"$tw\" on cross-origin object\n\t\tconsole.log({ msg: \"custom saver is disabled\", reason: err });\n\t\treturn null;\n\t}\n}\nvar saver = findSaver(window) || findSaver(window.parent) || {};\n\nvar CustomSaver = function(wiki) {\n};\n\nCustomSaver.prototype.save = function(text,method,callback) {\n\treturn saver.save(text, method, callback);\n};\n\n/*\nInformation about this saver\n*/\nCustomSaver.prototype.info = {\n\tname: \"custom\",\n\tpriority: saver.priority || 4000,\n\tcapabilities: [\"save\",\"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!(saver.save);\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new CustomSaver(wiki);\n};\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/download.js": {
            "title": "$:/core/modules/savers/download.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/download.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via HTML5's download APIs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar DownloadSaver = function(wiki) {\n};\n\nDownloadSaver.prototype.save = function(text,method,callback,options) {\n\toptions = options || {};\n\t// Get the current filename\n\tvar filename = options.variables.filename;\n\tif(!filename) {\n\t\tvar p = document.location.pathname.lastIndexOf(\"/\");\n\t\tif(p !== -1) {\n\t\t\t// We decode the pathname because document.location is URL encoded by the browser\n\t\t\tfilename = decodeURIComponent(document.location.pathname.substr(p+1));\n\t\t}\n\t}\n\tif(!filename) {\n\t\tfilename = \"tiddlywiki.html\";\n\t}\n\t// Set up the link\n\tvar link = document.createElement(\"a\");\n\tif(Blob !== undefined) {\n\t\tvar blob = new Blob([text], {type: \"text/html\"});\n\t\tlink.setAttribute(\"href\", URL.createObjectURL(blob));\n\t} else {\n\t\tlink.setAttribute(\"href\",\"data:text/html,\" + encodeURIComponent(text));\n\t}\n\tlink.setAttribute(\"download\",filename);\n\tdocument.body.appendChild(link);\n\tlink.click();\n\tdocument.body.removeChild(link);\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nDownloadSaver.prototype.info = {\n\tname: \"download\",\n\tpriority: 100\n};\n\nObject.defineProperty(DownloadSaver.prototype.info, \"capabilities\", {\n\tget: function() {\n\t\tvar capabilities = [\"save\", \"download\"];\n\t\tif(($tw.wiki.getTextReference(\"$:/config/DownloadSaver/AutoSave\") || \"\").toLowerCase() === \"yes\") {\n\t\t\tcapabilities.push(\"autosave\");\n\t\t}\n\t\treturn capabilities;\n\t}\n});\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn document.createElement(\"a\").download !== undefined;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new DownloadSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/fsosaver.js": {
            "title": "$:/core/modules/savers/fsosaver.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/fsosaver.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via MS FileSystemObject ActiveXObject\n\nNote: Since TiddlyWiki's markup contains the MOTW, the FileSystemObject normally won't be available. \nHowever, if the wiki is loaded as an .HTA file (Windows HTML Applications) then the FSO can be used.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar FSOSaver = function(wiki) {\n};\n\nFSOSaver.prototype.save = function(text,method,callback) {\n\t// Get the pathname of this document\n\tvar pathname = unescape(document.location.pathname);\n\t// Test for a Windows path of the form /x:\\blah...\n\tif(/^\\/[A-Z]\\:\\\\[^\\\\]+/i.test(pathname)) {\t// ie: ^/[a-z]:/[^/]+\n\t\t// Remove the leading slash\n\t\tpathname = pathname.substr(1);\n\t} else if(document.location.hostname !== \"\" && /^\\/\\\\[^\\\\]+\\\\[^\\\\]+/i.test(pathname)) {\t// test for \\\\server\\share\\blah... - ^/[^/]+/[^/]+\n\t\t// Remove the leading slash\n\t\tpathname = pathname.substr(1);\n\t\t// reconstruct UNC path\n\t\tpathname = \"\\\\\\\\\" + document.location.hostname + pathname;\n\t} else {\n\t\treturn false;\n\t}\n\t// Save the file (as UTF-16)\n\tvar fso = new ActiveXObject(\"Scripting.FileSystemObject\");\n\tvar file = fso.OpenTextFile(pathname,2,-1,-1);\n\tfile.Write(text);\n\tfile.Close();\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nFSOSaver.prototype.info = {\n\tname: \"FSOSaver\",\n\tpriority: 120,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\ttry {\n\t\treturn (window.location.protocol === \"file:\") && !!(new ActiveXObject(\"Scripting.FileSystemObject\"));\n\t} catch(e) { return false; }\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new FSOSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/gitea.js": {
            "title": "$:/core/modules/savers/gitea.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/gitea.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the gitea\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GiteaSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGiteaSaver.prototype.save = function(text,method,callback) {\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/Gitea/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"Gitea\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/Gitea/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/Gitea/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/Gitea/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/Gitea/Branch\") || \"master\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/Gitea/ServerURL\") || \"https://gitea\",\n\t\theaders = {\n\t\t\t\"Accept\": \"application/json\",\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Authorization\": \"token \" + password\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/repos/\" + repo + \"/contents\" + path;\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tdata: {\n\t\t\tref: branch\n\t\t},\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar use_put = true;\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = JSON.parse(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tif(sha === \"\"){\n\t\t\t\t\tuse_put = false;\n\t\t\t\t}\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tmessage: $tw.language.getRawString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: $tw.utils.base64Encode(text),\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: endpoint + \"/repos/\" + repo + \"/branches/\" + branch,\n\t\t\t\ttype: \"GET\",\n\t\t\t\theaders: headers,\n\t\t\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\t\t\tif(xhr.status === 404) {\n\t\t\t\t\t\tcallback(\"Please ensure the branch in the Gitea repo exists\");\n\t\t\t\t\t}else{\n\t\t\t\t\t\tdata[\"branch\"] = branch;\n\t\t\t\t\t\tself.upload(uri + filename, use_put?\"PUT\":\"POST\", headers, data, callback);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\nGiteaSaver.prototype.upload = function(uri,method,headers,data,callback) {\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: method,\n\t\theaders: headers,\n\t\tdata: JSON.stringify(data),\n\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar putResponseData = JSON.parse(putResponseDataJson);\n\t\t\tcallback(null);\n\t\t}\n\t});\n};\n\n/*\nInformation about this saver\n*/\nGiteaSaver.prototype.info = {\n\tname: \"Gitea\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GiteaSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/github.js": {
            "title": "$:/core/modules/savers/github.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/github.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the GitHub v3 REST API\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GitHubSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGitHubSaver.prototype.save = function(text,method,callback) {\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/GitHub/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"github\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/GitHub/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/GitHub/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/GitHub/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/GitHub/Branch\") || \"main\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/GitHub/ServerURL\") || \"https://api.github.com\",\n\t\theaders = {\n\t\t\t\"Accept\": \"application/vnd.github.v3+json\",\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Authorization\": \"Basic \" + window.btoa(username + \":\" + password),\n\t\t\t\"If-None-Match\": \"\"\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/repos/\" + repo + \"/contents\" + path;\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tdata: {\n\t\t\tref: branch\n\t\t},\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = JSON.parse(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tmessage: $tw.language.getRawString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: $tw.utils.base64Encode(text),\n\t\t\t\tbranch: branch,\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t// Perform a PUT request to save the file\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: uri + filename,\n\t\t\t\ttype: \"PUT\",\n\t\t\t\theaders: headers,\n\t\t\t\tdata: JSON.stringify(data),\n\t\t\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\treturn callback(err);\n\t\t\t\t\t}\n\t\t\t\t\tvar putResponseData = JSON.parse(putResponseDataJson);\n\t\t\t\t\tcallback(null);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nGitHubSaver.prototype.info = {\n\tname: \"github\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GitHubSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/gitlab.js": {
            "title": "$:/core/modules/savers/gitlab.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/gitlab.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the GitLab REST API\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: true */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GitLabSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGitLabSaver.prototype.save = function(text,method,callback) {\n\t/* See https://docs.gitlab.com/ee/api/repository_files.html */\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/GitLab/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"gitlab\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/GitLab/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/GitLab/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/GitLab/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/GitLab/Branch\") || \"master\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/GitLab/ServerURL\") || \"https://gitlab.com/api/v4\",\n\t\theaders = {\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Private-Token\": password\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/projects/\" + encodeURIComponent(repo) + \"/repository/\";\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri + \"tree/?path=\" + encodeURIComponent(path.replace(/^\\/+|\\/$/g, '')) + \"&branch=\" + encodeURIComponent(branch.replace(/^\\/+|\\/$/g, '')),\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar requestType = \"POST\";\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = JSON.parse(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\trequestType = \"PUT\";\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tcommit_message: $tw.language.getRawString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: text,\n\t\t\t\tbranch: branch,\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t// Perform a request to save the file\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: uri + \"files/\" + encodeURIComponent(path.replace(/^\\/+/, '') + filename),\n\t\t\t\ttype: requestType,\n\t\t\t\theaders: headers,\n\t\t\t\tdata: JSON.stringify(data),\n\t\t\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\treturn callback(err);\n\t\t\t\t\t}\n\t\t\t\t\tvar putResponseData = JSON.parse(putResponseDataJson);\n\t\t\t\t\tcallback(null);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nGitLabSaver.prototype.info = {\n\tname: \"gitlab\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GitLabSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/hyperdrive.js": {
            "title": "$:/core/modules/savers/hyperdrive.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/hyperdrive.js\ntype: application/javascript\nmodule-type: saver\n\nSaves files using the Hyperdrive Protocol (https://hypercore-protocol.org/#hyperdrive) Beaker browser beta-1.0 and later (https://beakerbrowser.com)\nCompatible with beaker >= V1.0.0\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSet up the saver\n*/\nvar HyperdriveSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nHyperdriveSaver.prototype.save = function(text,method,callback) {\n\tvar dat = beaker.hyperdrive.drive(\"\" + window.location),\n\t\tpathname = (\"\" + window.location.pathname).split(\"#\")[0];\n\tdat.stat(pathname).then(function(value) {\n\t\tif(value.isDirectory()) {\n\t\t\tpathname = pathname + \"/index.html\";\n\t\t}\n\t\tdat.writeFile(pathname,text,\"utf8\").then(function(value) {\n\t\t\tcallback(null);\n\t\t},function(reason) {\n\t\t\tcallback(\"Hyperdrive Saver Write Error: \" + reason);\n\t\t});\n\t},function(reason) {\n\t\tcallback(\"Hyperdrive Saver Stat Error: \" + reason);\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nHyperdriveSaver.prototype.info = {\n\tname: \"beaker-1.x\",\n\tpriority: 3000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.beaker && !!beaker.hyperdrive && location.protocol===\"hyper:\";\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new HyperdriveSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/manualdownload.js": {
            "title": "$:/core/modules/savers/manualdownload.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/manualdownload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via HTML5's download APIs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Title of the tiddler containing the download message\nvar downloadInstructionsTitle = \"$:/language/Modals/Download\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar ManualDownloadSaver = function(wiki) {\n};\n\nManualDownloadSaver.prototype.save = function(text,method,callback) {\n\t$tw.modal.display(downloadInstructionsTitle,{\n\t\tdownloadLink: \"data:text/html,\" + encodeURIComponent(text)\n\t});\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nManualDownloadSaver.prototype.info = {\n\tname: \"manualdownload\",\n\tpriority: 0,\n\tcapabilities: [\"save\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new ManualDownloadSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/msdownload.js": {
            "title": "$:/core/modules/savers/msdownload.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/msdownload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via window.navigator.msSaveBlob()\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar MsDownloadSaver = function(wiki) {\n};\n\nMsDownloadSaver.prototype.save = function(text,method,callback) {\n\t// Get the current filename\n\tvar filename = \"tiddlywiki.html\",\n\t\tp = document.location.pathname.lastIndexOf(\"/\");\n\tif(p !== -1) {\n\t\tfilename = document.location.pathname.substr(p+1);\n\t}\n\t// Set up the link\n\tvar blob = new Blob([text], {type: \"text/html\"});\n\twindow.navigator.msSaveBlob(blob,filename);\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nMsDownloadSaver.prototype.info = {\n\tname: \"msdownload\",\n\tpriority: 110,\n\tcapabilities: [\"save\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.navigator.msSaveBlob;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new MsDownloadSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/put.js": {
            "title": "$:/core/modules/savers/put.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/put.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by performing a PUT request to the server\n\nWorks with any server which accepts a PUT request\nto the current URL, such as a WebDAV server.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRetrieve ETag if available\n*/\nvar retrieveETag = function(self) {\n\tvar headers = {\n\t\tAccept: \"*/*;charset=UTF-8\"\n\t};\n\t$tw.utils.httpRequest({\n\t\turl: self.uri(),\n\t\ttype: \"HEAD\",\n\t\theaders: headers,\n\t\tcallback: function(err,data,xhr) {\n\t\t\tif(err) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tvar etag = xhr.getResponseHeader(\"ETag\");\n\t\t\tif(!etag) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tself.etag = etag.replace(/^W\\//,\"\");\n\t\t}\n\t});\n};\n\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar PutSaver = function(wiki) {\n\tthis.wiki = wiki;\n\tvar self = this;\n\tvar uri = this.uri();\n\t// Async server probe. Until probe finishes, save will fail fast\n\t// See also https://github.com/Jermolene/TiddlyWiki5/issues/2276\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"OPTIONS\",\n\t\tcallback: function(err,data,xhr) {\n\t\t\t// Check DAV header http://www.webdav.org/specs/rfc2518.html#rfc.section.9.1\n\t\t\tif(!err) {\n\t\t\t\tself.serverAcceptsPuts = xhr.status === 200 && !!xhr.getResponseHeader(\"dav\");\n\t\t\t}\n\t\t}\n\t});\n\tretrieveETag(this);\n};\n\nPutSaver.prototype.uri = function() {\n\treturn document.location.toString().split(\"#\")[0];\n};\n\n// TODO: in case of edit conflict\n// Prompt: Do you want to save over this? Y/N\n// Merging would be ideal, and may be possible using future generic merge flow\nPutSaver.prototype.save = function(text,method,callback) {\n\tif(!this.serverAcceptsPuts) {\n\t\treturn false;\n\t}\n\tvar self = this;\n\tvar headers = {\n\t\t\"Content-Type\": \"text/html;charset=UTF-8\"\n\t};\n\tif(this.etag) {\n\t\theaders[\"If-Match\"] = this.etag;\n\t}\n\t$tw.utils.httpRequest({\n\t\turl: this.uri(),\n\t\ttype: \"PUT\",\n\t\theaders: headers,\n\t\tdata: text,\n\t\tcallback: function(err,data,xhr) {\n\t\t\tif(err) {\n\t\t\t\t// response is textual: \"XMLHttpRequest error code: 412\"\n\t\t\t\tvar status = Number(err.substring(err.indexOf(':') + 2, err.length))\n\t\t\t\tif(status === 412) { // edit conflict\n\t\t\t\t\tvar message = $tw.language.getString(\"Error/EditConflict\");\n\t\t\t\t\tcallback(message);\n\t\t\t\t} else {\n\t\t\t\t\tcallback(err); // fail\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tself.etag = xhr.getResponseHeader(\"ETag\");\n\t\t\t\tif(self.etag == null) {\n\t\t\t\t\tretrieveETag(self);\n\t\t\t\t}\n\t\t\t\tcallback(null); // success\n\t\t\t}\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nPutSaver.prototype.info = {\n\tname: \"put\",\n\tpriority: 2000,\n\tcapabilities: [\"save\",\"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn /^https?:/.test(location.protocol);\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new PutSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/tiddlyfox.js": {
            "title": "$:/core/modules/savers/tiddlyfox.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/tiddlyfox.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the TiddlyFox file extension\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar TiddlyFoxSaver = function(wiki) {\n};\n\nTiddlyFoxSaver.prototype.save = function(text,method,callback) {\n\tvar messageBox = document.getElementById(\"tiddlyfox-message-box\");\n\tif(messageBox) {\n\t\t// Get the pathname of this document\n\t\tvar pathname = document.location.toString().split(\"#\")[0];\n\t\t// Replace file://localhost/ with file:///\n\t\tif(pathname.indexOf(\"file://localhost/\") === 0) {\n\t\t\tpathname = \"file://\" + pathname.substr(16);\n\t\t}\n\t\t// Windows path file:///x:/blah/blah --> x:\\blah\\blah\n\t\tif(/^file\\:\\/\\/\\/[A-Z]\\:\\//i.test(pathname)) {\n\t\t\t// Remove the leading slash and convert slashes to backslashes\n\t\t\tpathname = pathname.substr(8).replace(/\\//g,\"\\\\\");\n\t\t// Firefox Windows network path file://///server/share/blah/blah --> //server/share/blah/blah\n\t\t} else if(pathname.indexOf(\"file://///\") === 0) {\n\t\t\tpathname = \"\\\\\\\\\" + unescape(pathname.substr(10)).replace(/\\//g,\"\\\\\");\n\t\t// Mac/Unix local path file:///path/path --> /path/path\n\t\t} else if(pathname.indexOf(\"file:///\") === 0) {\n\t\t\tpathname = unescape(pathname.substr(7));\n\t\t// Mac/Unix local path file:/path/path --> /path/path\n\t\t} else if(pathname.indexOf(\"file:/\") === 0) {\n\t\t\tpathname = unescape(pathname.substr(5));\n\t\t// Otherwise Windows networth path file://server/share/path/path --> \\\\server\\share\\path\\path\n\t\t} else {\n\t\t\tpathname = \"\\\\\\\\\" + unescape(pathname.substr(7)).replace(new RegExp(\"/\",\"g\"),\"\\\\\");\n\t\t}\n\t\t// Create the message element and put it in the message box\n\t\tvar message = document.createElement(\"div\");\n\t\tmessage.setAttribute(\"data-tiddlyfox-path\",decodeURIComponent(pathname));\n\t\tmessage.setAttribute(\"data-tiddlyfox-content\",text);\n\t\tmessageBox.appendChild(message);\n\t\t// Add an event handler for when the file has been saved\n\t\tmessage.addEventListener(\"tiddlyfox-have-saved-file\",function(event) {\n\t\t\tcallback(null);\n\t\t}, false);\n\t\t// Create and dispatch the custom event to the extension\n\t\tvar event = document.createEvent(\"Events\");\n\t\tevent.initEvent(\"tiddlyfox-save-file\",true,false);\n\t\tmessage.dispatchEvent(event);\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nInformation about this saver\n*/\nTiddlyFoxSaver.prototype.info = {\n\tname: \"tiddlyfox\",\n\tpriority: 1500,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TiddlyFoxSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/tiddlyie.js": {
            "title": "$:/core/modules/savers/tiddlyie.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/tiddlyie.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via Internet Explorer BHO extenion (TiddlyIE)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar TiddlyIESaver = function(wiki) {\n};\n\nTiddlyIESaver.prototype.save = function(text,method,callback) {\n\t// Check existence of TiddlyIE BHO extension (note: only works after document is complete)\n\tif(typeof(window.TiddlyIE) != \"undefined\") {\n\t\t// Get the pathname of this document\n\t\tvar pathname = unescape(document.location.pathname);\n\t\t// Test for a Windows path of the form /x:/blah...\n\t\tif(/^\\/[A-Z]\\:\\/[^\\/]+/i.test(pathname)) {\t// ie: ^/[a-z]:/[^/]+ (is this better?: ^/[a-z]:/[^/]+(/[^/]+)*\\.[^/]+ )\n\t\t\t// Remove the leading slash\n\t\t\tpathname = pathname.substr(1);\n\t\t\t// Convert slashes to backslashes\n\t\t\tpathname = pathname.replace(/\\//g,\"\\\\\");\n\t\t} else if(document.hostname !== \"\" && /^\\/[^\\/]+\\/[^\\/]+/i.test(pathname)) {\t// test for \\\\server\\share\\blah... - ^/[^/]+/[^/]+\n\t\t\t// Convert slashes to backslashes\n\t\t\tpathname = pathname.replace(/\\//g,\"\\\\\");\n\t\t\t// reconstruct UNC path\n\t\t\tpathname = \"\\\\\\\\\" + document.location.hostname + pathname;\n\t\t} else return false;\n\t\t// Prompt the user to save the file\n\t\twindow.TiddlyIE.save(pathname, text);\n\t\t// Callback that we succeeded\n\t\tcallback(null);\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nInformation about this saver\n*/\nTiddlyIESaver.prototype.info = {\n\tname: \"tiddlyiesaver\",\n\tpriority: 1500,\n\tcapabilities: [\"save\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn (window.location.protocol === \"file:\");\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TiddlyIESaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/twedit.js": {
            "title": "$:/core/modules/savers/twedit.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/twedit.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the TWEdit iOS app\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar TWEditSaver = function(wiki) {\n};\n\nTWEditSaver.prototype.save = function(text,method,callback) {\n\t// Bail if we're not running under TWEdit\n\tif(typeof DeviceInfo !== \"object\") {\n\t\treturn false;\n\t}\n\t// Get the pathname of this document\n\tvar pathname = decodeURIComponent(document.location.pathname);\n\t// Strip any query or location part\n\tvar p = pathname.indexOf(\"?\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\tp = pathname.indexOf(\"#\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\t// Remove the leading \"/Documents\" from path\n\tvar prefix = \"/Documents\";\n\tif(pathname.indexOf(prefix) === 0) {\n\t\tpathname = pathname.substr(prefix.length);\n\t}\n\t// Error handler\n\tvar errorHandler = function(event) {\n\t\t// Error\n\t\tcallback($tw.language.getString(\"Error/SavingToTWEdit\") + \": \" + event.target.error.code);\n\t};\n\t// Get the file system\n\twindow.requestFileSystem(LocalFileSystem.PERSISTENT,0,function(fileSystem) {\n\t\t// Now we've got the filesystem, get the fileEntry\n\t\tfileSystem.root.getFile(pathname, {create: true}, function(fileEntry) {\n\t\t\t// Now we've got the fileEntry, create the writer\n\t\t\tfileEntry.createWriter(function(writer) {\n\t\t\t\twriter.onerror = errorHandler;\n\t\t\t\twriter.onwrite = function() {\n\t\t\t\t\tcallback(null);\n\t\t\t\t};\n\t\t\t\twriter.position = 0;\n\t\t\t\twriter.write(text);\n\t\t\t},errorHandler);\n\t\t}, errorHandler);\n\t}, errorHandler);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nTWEditSaver.prototype.info = {\n\tname: \"twedit\",\n\tpriority: 1600,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TWEditSaver(wiki);\n};\n\n/////////////////////////// Hack\n// HACK: This ensures that TWEdit recognises us as a TiddlyWiki document\nif($tw.browser) {\n\twindow.version = {title: \"TiddlyWiki\"};\n}\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/savers/upload.js": {
            "title": "$:/core/modules/savers/upload.js",
            "text": "/*\\\ntitle: $:/core/modules/savers/upload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via upload to a server.\n\nDesigned to be compatible with BidiX's UploadPlugin at http://tiddlywiki.bidix.info/#UploadPlugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar UploadSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nUploadSaver.prototype.save = function(text,method,callback) {\n\t// Get the various parameters we need\n\tvar backupDir = this.wiki.getTextReference(\"$:/UploadBackupDir\") || \".\",\n\t\tusername = this.wiki.getTextReference(\"$:/UploadName\"),\n\t\tpassword = $tw.utils.getPassword(\"upload\"),\n\t\tuploadDir = this.wiki.getTextReference(\"$:/UploadDir\") || \".\",\n\t\tuploadFilename = this.wiki.getTextReference(\"$:/UploadFilename\") || \"index.html\",\n\t\turl = this.wiki.getTextReference(\"$:/UploadURL\");\n\t// Bail out if we don't have the bits we need\n\tif(!username || username.toString().trim() === \"\" || !password || password.toString().trim() === \"\") {\n\t\treturn false;\n\t}\n\t// Construct the url if not provided\n\tif(!url) {\n\t\turl = \"http://\" + username + \".tiddlyspot.com/store.cgi\";\n\t}\n\t// Assemble the header\n\tvar boundary = \"---------------------------\" + \"AaB03x\";\t\n\tvar uploadFormName = \"UploadPlugin\";\n\tvar head = [];\n\thead.push(\"--\" + boundary + \"\\r\\nContent-disposition: form-data; name=\\\"UploadPlugin\\\"\\r\\n\");\n\thead.push(\"backupDir=\" + backupDir + \";user=\" + username + \";password=\" + password + \";uploaddir=\" + uploadDir + \";;\"); \n\thead.push(\"\\r\\n\" + \"--\" + boundary);\n\thead.push(\"Content-disposition: form-data; name=\\\"userfile\\\"; filename=\\\"\" + uploadFilename + \"\\\"\");\n\thead.push(\"Content-Type: text/html;charset=UTF-8\");\n\thead.push(\"Content-Length: \" + text.length + \"\\r\\n\");\n\thead.push(\"\");\n\t// Assemble the tail and the data itself\n\tvar tail = \"\\r\\n--\" + boundary + \"--\\r\\n\",\n\t\tdata = head.join(\"\\r\\n\") + text + tail;\n\t// Do the HTTP post\n\tvar http = new XMLHttpRequest();\n\thttp.open(\"POST\",url,true,username,password);\n\thttp.setRequestHeader(\"Content-Type\",\"multipart/form-data; charset=UTF-8; boundary=\" + boundary);\n\thttp.onreadystatechange = function() {\n\t\tif(http.readyState == 4 && http.status == 200) {\n\t\t\tif(http.responseText.substr(0,4) === \"0 - \") {\n\t\t\t\tcallback(null);\n\t\t\t} else {\n\t\t\t\tcallback(http.responseText);\n\t\t\t}\n\t\t}\n\t};\n\ttry {\n\t\thttp.send(data);\n\t} catch(ex) {\n\t\treturn callback($tw.language.getString(\"Error/Caption\") + \":\" + ex);\n\t}\n\t$tw.notifier.display(\"$:/language/Notifications/Save/Starting\");\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nUploadSaver.prototype.info = {\n\tname: \"upload\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new UploadSaver(wiki);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "saver"
        },
        "$:/core/modules/server/authenticators/basic.js": {
            "title": "$:/core/modules/server/authenticators/basic.js",
            "text": "/*\\\ntitle: $:/core/modules/server/authenticators/basic.js\ntype: application/javascript\nmodule-type: authenticator\n\nAuthenticator for WWW basic authentication\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nif($tw.node) {\n\tvar util = require(\"util\"),\n\t\tfs = require(\"fs\"),\n\t\turl = require(\"url\"),\n\t\tpath = require(\"path\");\n}\n\nfunction BasicAuthenticator(server) {\n\tthis.server = server;\n\tthis.credentialsData = [];\n}\n\n/*\nReturns true if the authenticator is active, false if it is inactive, or a string if there is an error\n*/\nBasicAuthenticator.prototype.init = function() {\n\t// Read the credentials data\n\tthis.credentialsFilepath = this.server.get(\"credentials\");\n\tif(this.credentialsFilepath) {\n\t\tvar resolveCredentialsFilepath = path.resolve(this.server.boot.wikiPath,this.credentialsFilepath);\n\t\tif(fs.existsSync(resolveCredentialsFilepath) && !fs.statSync(resolveCredentialsFilepath).isDirectory()) {\n\t\t\tvar credentialsText = fs.readFileSync(resolveCredentialsFilepath,\"utf8\"),\n\t\t\t\tcredentialsData = $tw.utils.parseCsvStringWithHeader(credentialsText);\n\t\t\tif(typeof credentialsData === \"string\") {\n\t\t\t\treturn \"Error: \" + credentialsData + \" reading credentials from '\" + resolveCredentialsFilepath + \"'\";\n\t\t\t} else {\n\t\t\t\tthis.credentialsData = credentialsData;\n\t\t\t}\n\t\t} else {\n\t\t\treturn \"Error: Unable to load user credentials from '\" + resolveCredentialsFilepath + \"'\";\n\t\t}\n\t}\n\t// Add the hardcoded username and password if specified\n\tif(this.server.get(\"username\") && this.server.get(\"password\")) {\n\t\tthis.credentialsData = this.credentialsData || [];\n\t\tthis.credentialsData.push({\n\t\t\tusername: this.server.get(\"username\"),\n\t\t\tpassword: this.server.get(\"password\")\n\t\t});\n\t}\n\treturn this.credentialsData.length > 0;\n};\n\n/*\nReturns true if the request is authenticated and assigns the \"authenticatedUsername\" state variable.\nReturns false if the request couldn't be authenticated having sent an appropriate response to the browser\n*/\nBasicAuthenticator.prototype.authenticateRequest = function(request,response,state) {\n\t// Extract the incoming username and password from the request\n\tvar header = request.headers.authorization || \"\";\n\tif(!header && state.allowAnon) {\n\t\t// If there's no header and anonymous access is allowed then we don't set authenticatedUsername\n\t\treturn true;\n\t}\n\tvar token = header.split(/\\s+/).pop() || \"\",\n\t\tauth = $tw.utils.base64Decode(token),\n\t\tparts = auth.split(/:/),\n\t\tincomingUsername = parts[0],\n\t\tincomingPassword = parts[1];\n\t// Check that at least one of the credentials matches\n\tvar matchingCredentials = this.credentialsData.find(function(credential) {\n\t\treturn credential.username === incomingUsername && credential.password === incomingPassword;\n\t});\n\tif(matchingCredentials) {\n\t\t// If so, add the authenticated username to the request state\n\t\tstate.authenticatedUsername = incomingUsername;\n\t\treturn true;\n\t} else {\n\t\t// If not, return an authentication challenge\n\t\tresponse.writeHead(401,\"Authentication required\",{\n\t\t\t\"WWW-Authenticate\": 'Basic realm=\"Please provide your username and password to login to ' + state.server.servername + '\"'\n\t\t});\n\t\tresponse.end();\n\t\treturn false;\n\t}\n};\n\nexports.AuthenticatorClass = BasicAuthenticator;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "authenticator"
        },
        "$:/core/modules/server/authenticators/header.js": {
            "title": "$:/core/modules/server/authenticators/header.js",
            "text": "/*\\\ntitle: $:/core/modules/server/authenticators/header.js\ntype: application/javascript\nmodule-type: authenticator\n\nAuthenticator for trusted header authentication\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction HeaderAuthenticator(server) {\n\tthis.server = server;\n\tthis.header = server.get(\"authenticated-user-header\") ? server.get(\"authenticated-user-header\").toLowerCase() : undefined;\n}\n\n/*\nReturns true if the authenticator is active, false if it is inactive, or a string if there is an error\n*/\nHeaderAuthenticator.prototype.init = function() {\n\treturn !!this.header;\n};\n\n/*\nReturns true if the request is authenticated and assigns the \"authenticatedUsername\" state variable.\nReturns false if the request couldn't be authenticated having sent an appropriate response to the browser\n*/\nHeaderAuthenticator.prototype.authenticateRequest = function(request,response,state) {\n\t// Otherwise, authenticate as the username in the specified header\n\tvar username = request.headers[this.header];\n\tif(!username && !state.allowAnon) {\n\t\tresponse.writeHead(401,\"Authorization header required to login to '\" + state.server.servername + \"'\");\n\t\tresponse.end();\n\t\treturn false;\n\t} else {\n\t\t// authenticatedUsername will be undefined for anonymous users\n\t\tstate.authenticatedUsername = username;\n\t\treturn true;\n\t}\n};\n\nexports.AuthenticatorClass = HeaderAuthenticator;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "authenticator"
        },
        "$:/core/modules/server/routes/delete-tiddler.js": {
            "title": "$:/core/modules/server/routes/delete-tiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/delete-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nDELETE /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"DELETE\";\n\nexports.path = /^\\/bags\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]);\n\tstate.wiki.deleteTiddler(title);\n\tresponse.writeHead(204, \"OK\", {\n\t\t\"Content-Type\": \"text/plain\"\n\t});\n\tresponse.end();\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/routes/get-favicon.js": {
            "title": "$:/core/modules/server/routes/get-favicon.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/get-favicon.js\ntype: application/javascript\nmodule-type: route\n\nGET /favicon.ico\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/favicon.ico$/;\n\nexports.handler = function(request,response,state) {\n\tresponse.writeHead(200, {\"Content-Type\": \"image/x-icon\"});\n\tvar buffer = state.wiki.getTiddlerText(\"$:/favicon.ico\",\"\");\n\tresponse.end(buffer,\"base64\");\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/routes/get-file.js": {
            "title": "$:/core/modules/server/routes/get-file.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/get-file.js\ntype: application/javascript\nmodule-type: route\n\nGET /files/:filepath\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/files\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar path = require(\"path\"),\n\t\tfs = require(\"fs\"),\n\t\tutil = require(\"util\"),\n\t\tsuppliedFilename = decodeURIComponent(state.params[0]),\n\t\tfilename = path.resolve(state.boot.wikiPath,\"files\",suppliedFilename),\n\t\textension = path.extname(filename);\n\tfs.readFile(filename,function(err,content) {\n\t\tvar status,content,type = \"text/plain\";\n\t\tif(err) {\n\t\t\tconsole.log(\"Error accessing file \" + filename + \": \" + err.toString());\n\t\t\tstatus = 404;\n\t\t\tcontent = \"File '\" + suppliedFilename + \"' not found\";\n\t\t} else {\n\t\t\tstatus = 200;\n\t\t\tcontent = content;\n\t\t\ttype = ($tw.config.fileExtensionInfo[extension] ? $tw.config.fileExtensionInfo[extension].type : \"application/octet-stream\");\n\t\t}\n\t\tresponse.writeHead(status,{\n\t\t\t\"Content-Type\": type\n\t\t});\n\t\tresponse.end(content);\n\t});\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/routes/get-index.js": {
            "title": "$:/core/modules/server/routes/get-index.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/get-index.js\ntype: application/javascript\nmodule-type: route\n\nGET /\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar zlib = require(\"zlib\");\n\nexports.method = \"GET\";\n\nexports.path = /^\\/$/;\n\nexports.handler = function(request,response,state) {\n\tvar acceptEncoding = request.headers[\"accept-encoding\"];\n\tif(!acceptEncoding) {\n\t\tacceptEncoding = \"\";\n\t}\n\tvar text = state.wiki.renderTiddler(state.server.get(\"root-render-type\"),state.server.get(\"root-tiddler\")),\n\t\tresponseHeaders = {\n\t\t\"Content-Type\": state.server.get(\"root-serve-type\")\n\t};\n\t/*\n\tIf the gzip=yes flag for `listen` is set, check if the user agent permits\n\tcompression. If so, compress our response. Note that we use the synchronous\n\tfunctions from zlib to stay in the imperative style. The current `Server`\n\tdoesn't depend on this, and we may just as well use the async versions.\n\t*/\n\tif(state.server.enableGzip) {\n\t\tif (/\\bdeflate\\b/.test(acceptEncoding)) {\n\t\t\tresponseHeaders[\"Content-Encoding\"] = \"deflate\";\n\t\t\ttext = zlib.deflateSync(text);\n\t\t} else if (/\\bgzip\\b/.test(acceptEncoding)) {\n\t\t\tresponseHeaders[\"Content-Encoding\"] = \"gzip\";\n\t\t\ttext = zlib.gzipSync(text);\n\t\t}\n\t}\n\tresponse.writeHead(200,responseHeaders);\n\tresponse.end(text);\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/routes/get-login-basic.js": {
            "title": "$:/core/modules/server/routes/get-login-basic.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/get-login-basic.js\ntype: application/javascript\nmodule-type: route\n\nGET /login-basic -- force a Basic Authentication challenge\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/login-basic$/;\n\nexports.handler = function(request,response,state) {\n\tif(!state.authenticatedUsername) {\n\t\t// Challenge if there's no username\n\t\tresponse.writeHead(401,{\n\t\t\t\"WWW-Authenticate\": 'Basic realm=\"Please provide your username and password to login to ' + state.server.servername + '\"'\n\t\t});\n\t\tresponse.end();\t\t\n\t} else {\n\t\t// Redirect to the root wiki if login worked\n\t\tresponse.writeHead(302,{\n\t\t\tLocation: \"/\"\n\t\t});\n\t\tresponse.end();\n\t}\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/routes/get-status.js": {
            "title": "$:/core/modules/server/routes/get-status.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/get-status.js\ntype: application/javascript\nmodule-type: route\n\nGET /status\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/status$/;\n\nexports.handler = function(request,response,state) {\n\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\tvar text = JSON.stringify({\n\t\tusername: state.authenticatedUsername || state.server.get(\"anon-username\") || \"\",\n\t\tanonymous: !state.authenticatedUsername,\n\t\tread_only: !state.server.isAuthorized(\"writers\",state.authenticatedUsername),\n\t\tspace: {\n\t\t\trecipe: \"default\"\n\t\t},\n\t\ttiddlywiki_version: $tw.version\n\t});\n\tresponse.end(text,\"utf8\");\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/routes/get-tiddler-html.js": {
            "title": "$:/core/modules/server/routes/get-tiddler-html.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/get-tiddler-html.js\ntype: application/javascript\nmodule-type: route\n\nGET /:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/([^\\/]+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]),\n\t\ttiddler = state.wiki.getTiddler(title);\n\tif(tiddler) {\n\t\tvar renderType = tiddler.getFieldString(\"_render_type\"),\n\t\t\trenderTemplate = tiddler.getFieldString(\"_render_template\");\n\t\t// Tiddler fields '_render_type' and '_render_template' overwrite\n\t\t// system wide settings for render type and template\n\t\tif(state.wiki.isSystemTiddler(title)) {\n\t\t\trenderType = renderType || state.server.get(\"system-tiddler-render-type\");\n\t\t\trenderTemplate = renderTemplate || state.server.get(\"system-tiddler-render-template\");\n\t\t} else {\n\t\t\trenderType = renderType || state.server.get(\"tiddler-render-type\");\n\t\t\trenderTemplate = renderTemplate || state.server.get(\"tiddler-render-template\");\n\t\t}\n\t\tvar text = state.wiki.renderTiddler(renderType,renderTemplate,{parseAsInline: true, variables: {currentTiddler: title}});\n\t\t// Naughty not to set a content-type, but it's the easiest way to ensure the browser will see HTML pages as HTML, and accept plain text tiddlers as CSS or JS\n\t\tresponse.writeHead(200);\n\t\tresponse.end(text,\"utf8\");\n\t} else {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t}\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/routes/get-tiddler.js": {
            "title": "$:/core/modules/server/routes/get-tiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/get-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nGET /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]),\n\t\ttiddler = state.wiki.getTiddler(title),\n\t\ttiddlerFields = {},\n\t\tknownFields = [\n\t\t\t\"bag\", \"created\", \"creator\", \"modified\", \"modifier\", \"permissions\", \"recipe\", \"revision\", \"tags\", \"text\", \"title\", \"type\", \"uri\"\n\t\t];\n\tif(tiddler) {\n\t\t$tw.utils.each(tiddler.fields,function(field,name) {\n\t\t\tvar value = tiddler.getFieldString(name);\n\t\t\tif(knownFields.indexOf(name) !== -1) {\n\t\t\t\ttiddlerFields[name] = value;\n\t\t\t} else {\n\t\t\t\ttiddlerFields.fields = tiddlerFields.fields || {};\n\t\t\t\ttiddlerFields.fields[name] = value;\n\t\t\t}\n\t\t});\n\t\ttiddlerFields.revision = state.wiki.getChangeCount(title);\n\t\ttiddlerFields.bag = \"default\";\n\t\ttiddlerFields.type = tiddlerFields.type || \"text/vnd.tiddlywiki\";\n\t\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\t\tresponse.end(JSON.stringify(tiddlerFields),\"utf8\");\n\t} else {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t}\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/routes/get-tiddlers-json.js": {
            "title": "$:/core/modules/server/routes/get-tiddlers-json.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/get-tiddlers-json.js\ntype: application/javascript\nmodule-type: route\n\nGET /recipes/default/tiddlers.json?filter=<filter>\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DEFAULT_FILTER = \"[all[tiddlers]!is[system]sort[title]]\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers.json$/;\n\nexports.handler = function(request,response,state) {\n\tvar filter = state.queryParameters.filter || DEFAULT_FILTER;\n\tif(state.wiki.getTiddlerText(\"$:/config/Server/AllowAllExternalFilters\") !== \"yes\") {\n\t\tif(state.wiki.getTiddlerText(\"$:/config/Server/ExternalFilters/\" + filter) !== \"yes\") {\n\t\t\tconsole.log(\"Blocked attempt to GET /recipes/default/tiddlers.json with filter: \" + filter);\n\t\t\tresponse.writeHead(403);\n\t\t\tresponse.end();\n\t\t\treturn;\n\t\t}\n\t}\n\tif(state.wiki.getTiddlerText(\"$:/config/SyncSystemTiddlersFromServer\") === \"no\") {\n\t\tfilter += \"+[!is[system]]\";\n\t}\n\tvar excludeFields = (state.queryParameters.exclude || \"text\").split(\",\"),\n\t\ttitles = state.wiki.filterTiddlers(filter);\n\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\tvar tiddlers = [];\n\t$tw.utils.each(titles,function(title) {\n\t\tvar tiddler = state.wiki.getTiddler(title);\n\t\tif(tiddler) {\n\t\t\tvar tiddlerFields = tiddler.getFieldStrings({exclude: excludeFields});\n\t\t\ttiddlerFields.revision = state.wiki.getChangeCount(title);\n\t\t\ttiddlerFields.type = tiddlerFields.type || \"text/vnd.tiddlywiki\";\n\t\t\ttiddlers.push(tiddlerFields);\n\t\t}\n\t});\n\tvar text = JSON.stringify(tiddlers);\n\tresponse.end(text,\"utf8\");\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/routes/put-tiddler.js": {
            "title": "$:/core/modules/server/routes/put-tiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/server/routes/put-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nPUT /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"PUT\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]),\n\tfields = JSON.parse(state.data);\n\t// Pull up any subfields in the `fields` object\n\tif(fields.fields) {\n\t\t$tw.utils.each(fields.fields,function(field,name) {\n\t\t\tfields[name] = field;\n\t\t});\n\t\tdelete fields.fields;\n\t}\n\t// Remove any revision field\n\tif(fields.revision) {\n\t\tdelete fields.revision;\n\t}\n\tstate.wiki.addTiddler(new $tw.Tiddler(state.wiki.getCreationFields(),fields,{title: title},state.wiki.getModificationFields()));\n\tvar changeCount = state.wiki.getChangeCount(title).toString();\n\tresponse.writeHead(204, \"OK\",{\n\t\tEtag: \"\\\"default/\" + encodeURIComponent(title) + \"/\" + changeCount + \":\\\"\",\n\t\t\"Content-Type\": \"text/plain\"\n\t});\n\tresponse.end();\n};\n\n}());\n",
            "type": "application/javascript",
            "module-type": "route"
        },
        "$:/core/modules/server/server.js": {
            "title": "$:/core/modules/server/server.js",
            "text": "/*\\\ntitle: $:/core/modules/server/server.js\ntype: application/javascript\nmodule-type: library\n\nServe tiddlers over http\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nif($tw.node) {\n\tvar util = require(\"util\"),\n\t\tfs = require(\"fs\"),\n\t\turl = require(\"url\"),\n\t\tpath = require(\"path\"),\n\t\tquerystring = require(\"querystring\");\n}\n\n/*\nA simple HTTP server with regexp-based routes\noptions: variables - optional hashmap of variables to set (a misnomer - they are really constant parameters)\n\t\t routes - optional array of routes to use\n\t\t wiki - reference to wiki object\n*/\nfunction Server(options) {\n\tvar self = this;\n\tthis.routes = options.routes || [];\n\tthis.authenticators = options.authenticators || [];\n\tthis.wiki = options.wiki;\n\tthis.boot = options.boot || $tw.boot;\n\tthis.servername = $tw.utils.transliterateToSafeASCII(this.wiki.getTiddlerText(\"$:/SiteTitle\") || \"TiddlyWiki5\");\n\t// Initialise the variables\n\tthis.variables = $tw.utils.extend({},this.defaultVariables);\n\tif(options.variables) {\n\t\tfor(var variable in options.variables) {\n\t\t\tif(options.variables[variable]) {\n\t\t\t\tthis.variables[variable] = options.variables[variable];\n\t\t\t}\n\t\t}\t\t\n\t}\n\t$tw.utils.extend({},this.defaultVariables,options.variables);\n\t// Initialise CSRF\n\tthis.csrfDisable = this.get(\"csrf-disable\") === \"yes\";\n\t// Initialize Gzip compression\n\tthis.enableGzip = this.get(\"gzip\") === \"yes\";\n\t// Initialise authorization\n\tvar authorizedUserName = (this.get(\"username\") && this.get(\"password\")) ? this.get(\"username\") : \"(anon)\";\n\tthis.authorizationPrincipals = {\n\t\treaders: (this.get(\"readers\") || authorizedUserName).split(\",\").map($tw.utils.trim),\n\t\twriters: (this.get(\"writers\") || authorizedUserName).split(\",\").map($tw.utils.trim)\n\t}\n\t// Load and initialise authenticators\n\t$tw.modules.forEachModuleOfType(\"authenticator\", function(title,authenticatorDefinition) {\n\t\t// console.log(\"Loading server route \" + title);\n\t\tself.addAuthenticator(authenticatorDefinition.AuthenticatorClass);\n\t});\n\t// Load route handlers\n\t$tw.modules.forEachModuleOfType(\"route\", function(title,routeDefinition) {\n\t\t// console.log(\"Loading server route \" + title);\n\t\tself.addRoute(routeDefinition);\n\t});\n\t// Initialise the http vs https\n\tthis.listenOptions = null;\n\tthis.protocol = \"http\";\n\tvar tlsKeyFilepath = this.get(\"tls-key\"),\n\t\ttlsCertFilepath = this.get(\"tls-cert\");\n\tif(tlsCertFilepath && tlsKeyFilepath) {\n\t\tthis.listenOptions = {\n\t\t\tkey: fs.readFileSync(path.resolve(this.boot.wikiPath,tlsKeyFilepath),\"utf8\"),\n\t\t\tcert: fs.readFileSync(path.resolve(this.boot.wikiPath,tlsCertFilepath),\"utf8\")\n\t\t};\n\t\tthis.protocol = \"https\";\n\t}\n\tthis.transport = require(this.protocol);\n}\n\nServer.prototype.defaultVariables = {\n\tport: \"8080\",\n\thost: \"127.0.0.1\",\n\t\"root-tiddler\": \"$:/core/save/all\",\n\t\"root-render-type\": \"text/plain\",\n\t\"root-serve-type\": \"text/html\",\n\t\"tiddler-render-type\": \"text/html\",\n\t\"tiddler-render-template\": \"$:/core/templates/server/static.tiddler.html\",\n\t\"system-tiddler-render-type\": \"text/plain\",\n\t\"system-tiddler-render-template\": \"$:/core/templates/wikified-tiddler\",\n\t\"debug-level\": \"none\",\n\t\"gzip\": \"no\"\n};\n\nServer.prototype.get = function(name) {\n\treturn this.variables[name];\n};\n\nServer.prototype.addRoute = function(route) {\n\tthis.routes.push(route);\n};\n\nServer.prototype.addAuthenticator = function(AuthenticatorClass) {\n\t// Instantiate and initialise the authenticator\n\tvar authenticator = new AuthenticatorClass(this),\n\t\tresult = authenticator.init();\n\tif(typeof result === \"string\") {\n\t\t$tw.utils.error(\"Error: \" + result);\n\t} else if(result) {\n\t\t// Only use the authenticator if it initialised successfully\n\t\tthis.authenticators.push(authenticator);\n\t}\n};\n\nServer.prototype.findMatchingRoute = function(request,state) {\n\tfor(var t=0; t<this.routes.length; t++) {\n\t\tvar potentialRoute = this.routes[t],\n\t\t\tpathRegExp = potentialRoute.path,\n\t\t\tpathname = state.urlInfo.pathname,\n\t\t\tmatch;\n\t\tif(state.pathPrefix) {\n\t\t\tif(pathname.substr(0,state.pathPrefix.length) === state.pathPrefix) {\n\t\t\t\tpathname = pathname.substr(state.pathPrefix.length) || \"/\";\n\t\t\t\tmatch = potentialRoute.path.exec(pathname);\n\t\t\t} else {\n\t\t\t\tmatch = false;\n\t\t\t}\n\t\t} else {\n\t\t\tmatch = potentialRoute.path.exec(pathname);\n\t\t}\n\t\tif(match && request.method === potentialRoute.method) {\n\t\t\tstate.params = [];\n\t\t\tfor(var p=1; p<match.length; p++) {\n\t\t\t\tstate.params.push(match[p]);\n\t\t\t}\n\t\t\treturn potentialRoute;\n\t\t}\n\t}\n\treturn null;\n};\n\nServer.prototype.methodMappings = {\n\t\"GET\": \"readers\",\n\t\"OPTIONS\": \"readers\",\n\t\"HEAD\": \"readers\",\n\t\"PUT\": \"writers\",\n\t\"POST\": \"writers\",\n\t\"DELETE\": \"writers\"\n};\n\n/*\nCheck whether a given user is authorized for the specified authorizationType (\"readers\" or \"writers\"). Pass null or undefined as the username to check for anonymous access\n*/\nServer.prototype.isAuthorized = function(authorizationType,username) {\n\tvar principals = this.authorizationPrincipals[authorizationType] || [];\n\treturn principals.indexOf(\"(anon)\") !== -1 || (username && (principals.indexOf(\"(authenticated)\") !== -1 || principals.indexOf(username) !== -1));\n}\n\nServer.prototype.requestHandler = function(request,response,options) {\n\toptions = options || {};\n\t// Compose the state object\n\tvar self = this;\n\tvar state = {};\n\tstate.wiki = options.wiki || self.wiki;\n\tstate.boot = options.boot || self.boot;\n\tstate.server = self;\n\tstate.urlInfo = url.parse(request.url);\n\tstate.queryParameters = querystring.parse(state.urlInfo.query);\n\tstate.pathPrefix = options.pathPrefix || this.get(\"path-prefix\") || \"\";\n\t// Get the principals authorized to access this resource\n\tvar authorizationType = this.methodMappings[request.method] || \"readers\";\n\t// Check for the CSRF header if this is a write\n\tif(!this.csrfDisable && authorizationType === \"writers\" && request.headers[\"x-requested-with\"] !== \"TiddlyWiki\") {\n\t\tresponse.writeHead(403,\"'X-Requested-With' header required to login to '\" + this.servername + \"'\");\n\t\tresponse.end();\n\t\treturn;\t\t\n\t}\n\t// Check whether anonymous access is granted\n\tstate.allowAnon = this.isAuthorized(authorizationType,null);\n\t// Authenticate with the first active authenticator\n\tif(this.authenticators.length > 0) {\n\t\tif(!this.authenticators[0].authenticateRequest(request,response,state)) {\n\t\t\t// Bail if we failed (the authenticator will have sent the response)\n\t\t\treturn;\n\t\t}\t\t\n\t}\n\t// Authorize with the authenticated username\n\tif(!this.isAuthorized(authorizationType,state.authenticatedUsername)) {\n\t\tresponse.writeHead(401,\"'\" + state.authenticatedUsername + \"' is not authorized to access '\" + this.servername + \"'\");\n\t\tresponse.end();\n\t\treturn;\n\t}\n\t// Find the route that matches this path\n\tvar route = self.findMatchingRoute(request,state);\n\t// Optionally output debug info\n\tif(self.get(\"debug-level\") !== \"none\") {\n\t\tconsole.log(\"Request path:\",JSON.stringify(state.urlInfo));\n\t\tconsole.log(\"Request headers:\",JSON.stringify(request.headers));\n\t\tconsole.log(\"authenticatedUsername:\",state.authenticatedUsername);\n\t}\n\t// Return a 404 if we didn't find a route\n\tif(!route) {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t\treturn;\n\t}\n\t// Receive the request body if necessary and hand off to the route handler\n\tif(route.bodyFormat === \"stream\" || request.method === \"GET\" || request.method === \"HEAD\") {\n\t\t// Let the route handle the request stream itself\n\t\troute.handler(request,response,state);\n\t} else if(route.bodyFormat === \"string\" || !route.bodyFormat) {\n\t\t// Set the encoding for the incoming request\n\t\trequest.setEncoding(\"utf8\");\n\t\tvar data = \"\";\n\t\trequest.on(\"data\",function(chunk) {\n\t\t\tdata += chunk.toString();\n\t\t});\n\t\trequest.on(\"end\",function() {\n\t\t\tstate.data = data;\n\t\t\troute.handler(request,response,state);\n\t\t});\n\t} else if(route.bodyFormat === \"buffer\") {\n\t\tvar data = [];\n\t\trequest.on(\"data\",function(chunk) {\n\t\t\tdata.push(chunk);\n\t\t});\n\t\trequest.on(\"end\",function() {\n\t\t\tstate.data = Buffer.concat(data);\n\t\t\troute.handler(request,response,state);\n\t\t})\n\t} else {\n\t\tresponse.writeHead(400,\"Invalid bodyFormat \" + route.bodyFormat + \" in route \" + route.method + \" \" + route.path.source);\n\t\tresponse.end();\n\t}\n};\n\n/*\nListen for requests\nport: optional port number (falls back to value of \"port\" variable)\nhost: optional host address (falls back to value of \"host\" variable)\nprefix: optional prefix (falls back to value of \"path-prefix\" variable)\n*/\nServer.prototype.listen = function(port,host,prefix) {\n\tvar self = this;\n\t// Handle defaults for port and host\n\tport = port || this.get(\"port\");\n\thost = host || this.get(\"host\");\n\tprefix = prefix || this.get(\"path-prefix\") || \"\";\n\t// Check for the port being a string and look it up as an environment variable\n\tif(parseInt(port,10).toString() !== port) {\n\t\tport = process.env[port] || 8080;\n\t}\n\t// Warn if required plugins are missing\n\tif(!this.wiki.getTiddler(\"$:/plugins/tiddlywiki/tiddlyweb\") || !this.wiki.getTiddler(\"$:/plugins/tiddlywiki/filesystem\")) {\n\t\t$tw.utils.warning(\"Warning: Plugins required for client-server operation (\\\"tiddlywiki/filesystem\\\" and \\\"tiddlywiki/tiddlyweb\\\") are missing from tiddlywiki.info file\");\n\t}\n\t// Create the server\n\tvar server;\n\tif(this.listenOptions) {\n\t\tserver = this.transport.createServer(this.listenOptions,this.requestHandler.bind(this));\n\t} else {\n\t\tserver = this.transport.createServer(this.requestHandler.bind(this));\n\t}\n\t// Display the port number after we've started listening (the port number might have been specified as zero, in which case we will get an assigned port)\n\tserver.on(\"listening\",function() {\n\t\tvar address = server.address();\n\t\t$tw.utils.log(\"Serving on \" + self.protocol + \"://\" + address.address + \":\" + address.port + prefix,\"brown/orange\");\n\t\t$tw.utils.log(\"(press ctrl-C to exit)\",\"red\");\n\t});\n\t// Listen\n\treturn server.listen(port,host);\n};\n\nexports.Server = Server;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "library"
        },
        "$:/core/modules/browser-messaging.js": {
            "title": "$:/core/modules/browser-messaging.js",
            "text": "/*\\\ntitle: $:/core/modules/browser-messaging.js\ntype: application/javascript\nmodule-type: startup\n\nBrowser message handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"browser-messaging\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n/*\nLoad a specified url as an iframe and call the callback when it is loaded. If the url is already loaded then the existing iframe instance is used\n*/\nfunction loadIFrame(url,callback) {\n\t// Check if iframe already exists\n\tvar iframeInfo = $tw.browserMessaging.iframeInfoMap[url];\n\tif(iframeInfo) {\n\t\t// We've already got the iframe\n\t\tcallback(null,iframeInfo);\n\t} else {\n\t\t// Create the iframe and save it in the list\n\t\tvar iframe = document.createElement(\"iframe\");\n\t\tiframeInfo = {\n\t\t\turl: url,\n\t\t\tstatus: \"loading\",\n\t\t\tdomNode: iframe\n\t\t};\n\t\t$tw.browserMessaging.iframeInfoMap[url] = iframeInfo;\n\t\tsaveIFrameInfoTiddler(iframeInfo);\n\t\t// Add the iframe to the DOM and hide it\n\t\tiframe.style.display = \"none\";\n\t\tiframe.setAttribute(\"library\",\"true\");\n\t\tdocument.body.appendChild(iframe);\n\t\t// Set up onload\n\t\tiframe.onload = function() {\n\t\t\tiframeInfo.status = \"loaded\";\n\t\t\tsaveIFrameInfoTiddler(iframeInfo);\n\t\t\tcallback(null,iframeInfo);\n\t\t};\n\t\tiframe.onerror = function() {\n\t\t\tcallback(\"Cannot load iframe\");\n\t\t};\n\t\ttry {\n\t\t\tiframe.src = url;\n\t\t} catch(ex) {\n\t\t\tcallback(ex);\n\t\t}\n\t}\n}\n\n/*\nUnload library iframe for given url\n*/\nfunction unloadIFrame(url){\n\t$tw.utils.each(document.getElementsByTagName('iframe'), function(iframe) {\n\t\tif(iframe.getAttribute(\"library\") === \"true\" &&\n\t\t  iframe.getAttribute(\"src\") === url) {\n\t\t\tiframe.parentNode.removeChild(iframe);\n\t\t}\n\t});\n}\n\nfunction saveIFrameInfoTiddler(iframeInfo) {\n\t$tw.wiki.addTiddler(new $tw.Tiddler($tw.wiki.getCreationFields(),{\n\t\ttitle: \"$:/temp/ServerConnection/\" + iframeInfo.url,\n\t\ttext: iframeInfo.status,\n\t\ttags: [\"$:/tags/ServerConnection\"],\n\t\turl: iframeInfo.url\n\t},$tw.wiki.getModificationFields()));\n}\n\nexports.startup = function() {\n\t// Initialise the store of iframes we've created\n\t$tw.browserMessaging = {\n\t\tiframeInfoMap: {} // Hashmap by URL of {url:,status:\"loading/loaded\",domNode:}\n\t};\n\t// Listen for widget messages to control loading the plugin library\n\t$tw.rootWidget.addEventListener(\"tm-load-plugin-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url;\n\t\tif(url) {\n\t\t\tloadIFrame(url,function(err,iframeInfo) {\n\t\t\t\tif(err) {\n\t\t\t\t\talert($tw.language.getString(\"Error/LoadingPluginLibrary\") + \": \" + url);\n\t\t\t\t} else {\n\t\t\t\t\tiframeInfo.domNode.contentWindow.postMessage({\n\t\t\t\t\t\tverb: \"GET\",\n\t\t\t\t\t\turl: \"recipes/library/tiddlers.json\",\n\t\t\t\t\t\tcookies: {\n\t\t\t\t\t\t\ttype: \"save-info\",\n\t\t\t\t\t\t\tinfoTitlePrefix: paramObject.infoTitlePrefix || \"$:/temp/RemoteAssetInfo/\",\n\t\t\t\t\t\t\turl: url\n\t\t\t\t\t\t}\n\t\t\t\t\t},\"*\");\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Listen for widget messages to control unloading the plugin library\n\t$tw.rootWidget.addEventListener(\"tm-unload-plugin-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url;\n\t\t$tw.browserMessaging.iframeInfoMap[url] = undefined;\n\t\tif(url) {\n\t\t\tunloadIFrame(url);\n\t\t\t$tw.utils.each(\n\t\t\t\t$tw.wiki.filterTiddlers(\"[[$:/temp/ServerConnection/\" + url + \"]] [prefix[$:/temp/RemoteAssetInfo/\" + url + \"/]]\"),\n\t\t\t\tfunction(title) {\n\t\t\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t\t\t}\n\t\t\t);\n\t\t}\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-load-plugin-from-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url,\n\t\t\ttitle = paramObject.title;\n\t\tif(url && title) {\n\t\t\tloadIFrame(url,function(err,iframeInfo) {\n\t\t\t\tif(err) {\n\t\t\t\t\talert($tw.language.getString(\"Error/LoadingPluginLibrary\") + \": \" + url);\n\t\t\t\t} else {\n\t\t\t\t\tiframeInfo.domNode.contentWindow.postMessage({\n\t\t\t\t\t\tverb: \"GET\",\n\t\t\t\t\t\turl: \"recipes/library/tiddlers/\" + encodeURIComponent(title) + \".json\",\n\t\t\t\t\t\tcookies: {\n\t\t\t\t\t\t\ttype: \"save-tiddler\",\n\t\t\t\t\t\t\turl: url\n\t\t\t\t\t\t}\n\t\t\t\t\t},\"*\");\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Listen for window messages from other windows\n\twindow.addEventListener(\"message\",function listener(event){\n\t\t// console.log(\"browser-messaging: \",document.location.toString())\n\t\t// console.log(\"browser-messaging: Received message from\",event.origin);\n\t\t// console.log(\"browser-messaging: Message content\",event.data);\n\t\tswitch(event.data.verb) {\n\t\t\tcase \"GET-RESPONSE\":\n\t\t\t\tif(event.data.status.charAt(0) === \"2\") {\n\t\t\t\t\tif(event.data.cookies) {\n\t\t\t\t\t\tif(event.data.cookies.type === \"save-info\") {\n\t\t\t\t\t\t\tvar tiddlers = JSON.parse(event.data.body);\n\t\t\t\t\t\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\t\t\t\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler($tw.wiki.getCreationFields(),tiddler,{\n\t\t\t\t\t\t\t\t\ttitle: event.data.cookies.infoTitlePrefix + event.data.cookies.url + \"/\" + tiddler.title,\n\t\t\t\t\t\t\t\t\t\"original-title\": tiddler.title,\n\t\t\t\t\t\t\t\t\ttext: \"\",\n\t\t\t\t\t\t\t\t\ttype: \"text/vnd.tiddlywiki\",\n\t\t\t\t\t\t\t\t\t\"original-type\": tiddler.type,\n\t\t\t\t\t\t\t\t\t\"plugin-type\": undefined,\n\t\t\t\t\t\t\t\t\t\"original-plugin-type\": tiddler[\"plugin-type\"],\n\t\t\t\t\t\t\t\t\t\"module-type\": undefined,\n\t\t\t\t\t\t\t\t\t\"original-module-type\": tiddler[\"module-type\"],\n\t\t\t\t\t\t\t\t\ttags: [\"$:/tags/RemoteAssetInfo\"],\n\t\t\t\t\t\t\t\t\t\"original-tags\": $tw.utils.stringifyList(tiddler.tags || []),\n\t\t\t\t\t\t\t\t\t\"server-url\": event.data.cookies.url\n\t\t\t\t\t\t\t\t},$tw.wiki.getModificationFields()));\n\t\t\t\t\t\t\t});\n\t\t\t\t\t\t} else if(event.data.cookies.type === \"save-tiddler\") {\n\t\t\t\t\t\t\tvar tiddler = JSON.parse(event.data.body);\n\t\t\t\t\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler(tiddler));\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\t},false);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/commands.js": {
            "title": "$:/core/modules/startup/commands.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/commands.js\ntype: application/javascript\nmodule-type: startup\n\nCommand processing\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"commands\";\nexports.platforms = [\"node\"];\nexports.after = [\"story\"];\nexports.synchronous = false;\n\nexports.startup = function(callback) {\n\t// On the server, start a commander with the command line arguments\n\tvar commander = new $tw.Commander(\n\t\t$tw.boot.argv,\n\t\tfunction(err) {\n\t\t\tif(err) {\n\t\t\t\treturn $tw.utils.error(\"Error: \" + err);\n\t\t\t}\n\t\t\tcallback();\n\t\t},\n\t\t$tw.wiki,\n\t\t{output: process.stdout, error: process.stderr}\n\t);\n\tcommander.execute();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/CSSescape.js": {
            "title": "$:/core/modules/startup/CSSescape.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/CSSescape.js\ntype: application/javascript\nmodule-type: startup\n\nPolyfill for CSS.escape()\n\n\\*/\n(function(root,factory){\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"css-escape\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n/*! https://mths.be/cssescape v1.5.1 by @mathias | MIT license */\n// https://github.com/umdjs/umd/blob/master/returnExports.js\nexports.startup = factory(root);\n}(typeof global != 'undefined' ? global : this, function(root) {\n\n\tif (root.CSS && root.CSS.escape) {\n\t\treturn;\n\t}\n\n\t// https://drafts.csswg.org/cssom/#serialize-an-identifier\n\tvar cssEscape = function(value) {\n\t\tif (arguments.length == 0) {\n\t\t\tthrow new TypeError('`CSS.escape` requires an argument.');\n\t\t}\n\t\tvar string = String(value);\n\t\tvar length = string.length;\n\t\tvar index = -1;\n\t\tvar codeUnit;\n\t\tvar result = '';\n\t\tvar firstCodeUnit = string.charCodeAt(0);\n\t\twhile (++index < length) {\n\t\t\tcodeUnit = string.charCodeAt(index);\n\t\t\t// Note: there’s no need to special-case astral symbols, surrogate\n\t\t\t// pairs, or lone surrogates.\n\n\t\t\t// If the character is NULL (U+0000), then the REPLACEMENT CHARACTER\n\t\t\t// (U+FFFD).\n\t\t\tif (codeUnit == 0x0000) {\n\t\t\t\tresult += '\\uFFFD';\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\tif (\n\t\t\t\t// If the character is in the range [\\1-\\1F] (U+0001 to U+001F) or is\n\t\t\t\t// U+007F, […]\n\t\t\t\t(codeUnit >= 0x0001 && codeUnit <= 0x001F) || codeUnit == 0x007F ||\n\t\t\t\t// If the character is the first character and is in the range [0-9]\n\t\t\t\t// (U+0030 to U+0039), […]\n\t\t\t\t(index == 0 && codeUnit >= 0x0030 && codeUnit <= 0x0039) ||\n\t\t\t\t// If the character is the second character and is in the range [0-9]\n\t\t\t\t// (U+0030 to U+0039) and the first character is a `-` (U+002D), […]\n\t\t\t\t(\n\t\t\t\t\tindex == 1 &&\n\t\t\t\t\tcodeUnit >= 0x0030 && codeUnit <= 0x0039 &&\n\t\t\t\t\tfirstCodeUnit == 0x002D\n\t\t\t\t)\n\t\t\t) {\n\t\t\t\t// https://drafts.csswg.org/cssom/#escape-a-character-as-code-point\n\t\t\t\tresult += '\\\\' + codeUnit.toString(16) + ' ';\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\tif (\n\t\t\t\t// If the character is the first character and is a `-` (U+002D), and\n\t\t\t\t// there is no second character, […]\n\t\t\t\tindex == 0 &&\n\t\t\t\tlength == 1 &&\n\t\t\t\tcodeUnit == 0x002D\n\t\t\t) {\n\t\t\t\tresult += '\\\\' + string.charAt(index);\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\t// If the character is not handled by one of the above rules and is\n\t\t\t// greater than or equal to U+0080, is `-` (U+002D) or `_` (U+005F), or\n\t\t\t// is in one of the ranges [0-9] (U+0030 to U+0039), [A-Z] (U+0041 to\n\t\t\t// U+005A), or [a-z] (U+0061 to U+007A), […]\n\t\t\tif (\n\t\t\t\tcodeUnit >= 0x0080 ||\n\t\t\t\tcodeUnit == 0x002D ||\n\t\t\t\tcodeUnit == 0x005F ||\n\t\t\t\tcodeUnit >= 0x0030 && codeUnit <= 0x0039 ||\n\t\t\t\tcodeUnit >= 0x0041 && codeUnit <= 0x005A ||\n\t\t\t\tcodeUnit >= 0x0061 && codeUnit <= 0x007A\n\t\t\t) {\n\t\t\t\t// the character itself\n\t\t\t\tresult += string.charAt(index);\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\t// Otherwise, the escaped character.\n\t\t\t// https://drafts.csswg.org/cssom/#escape-a-character\n\t\t\tresult += '\\\\' + string.charAt(index);\n\n\t\t}\n\t\treturn result;\n\t};\n\n\tif (!root.CSS) {\n\t\troot.CSS = {};\n\t}\n\n\troot.CSS.escape = cssEscape;\n\n}));\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/favicon.js": {
            "title": "$:/core/modules/startup/favicon.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/favicon.js\ntype: application/javascript\nmodule-type: startup\n\nFavicon handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"favicon\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\t\t\n// Favicon tiddler\nvar FAVICON_TITLE = \"$:/favicon.ico\";\n\nexports.startup = function() {\n\t// Set up the favicon\n\tsetFavicon();\n\t// Reset the favicon when the tiddler changes\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,FAVICON_TITLE)) {\n\t\t\tsetFavicon();\n\t\t}\n\t});\n};\n\nfunction setFavicon() {\n\tvar tiddler = $tw.wiki.getTiddler(FAVICON_TITLE);\n\tif(tiddler) {\n\t\tvar faviconLink = document.getElementById(\"faviconLink\");\n\t\tfaviconLink.setAttribute(\"href\",$tw.utils.makeDataUri(tiddler.fields.text,tiddler.fields.type,tiddler.fields._canonical_uri));\n\t}\n}\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/info.js": {
            "title": "$:/core/modules/startup/info.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/info.js\ntype: application/javascript\nmodule-type: startup\n\nInitialise $:/info tiddlers via $:/temp/info-plugin pseudo-plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"info\";\nexports.before = [\"startup\"];\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\nvar TITLE_INFO_PLUGIN = \"$:/temp/info-plugin\";\n\nexports.startup = function() {\n\t// Function to bake the info plugin with new tiddlers\n\tvar updateInfoPlugin = function(tiddlerFieldsArray) {\n\t\t// Get the existing tiddlers\n\t\tvar json = $tw.wiki.getTiddlerData(TITLE_INFO_PLUGIN,{tiddlers: {}});\n\t\t// Add the new ones\n\t\t$tw.utils.each(tiddlerFieldsArray,function(fields) {\n\t\t\tif(fields && fields.title) {\n\t\t\t\tjson.tiddlers[fields.title] = fields;\n\t\t\t}\n\t\t});\n\t\t// Bake the info tiddlers into a plugin. We use the non-standard plugin-type \"info\" because ordinary plugins are only registered asynchronously after being loaded dynamically\n\t\tvar fields = {\n\t\t\ttitle: TITLE_INFO_PLUGIN,\n\t\t\ttype: \"application/json\",\n\t\t\t\"plugin-type\": \"info\",\n\t\t\ttext: JSON.stringify(json,null,$tw.config.preferences.jsonSpaces)\n\t\t};\n\t\t$tw.wiki.addTiddler(new $tw.Tiddler(fields));\n\n\t};\n\t// Collect up the info tiddlers\n\tvar tiddlerFieldsArray = [];\n\t// Give each info module a chance to provide as many info tiddlers as they want as an array, and give them a callback for dynamically updating them\n\t$tw.modules.forEachModuleOfType(\"info\",function(title,moduleExports) {\n\t\tif(moduleExports && moduleExports.getInfoTiddlerFields) {\n\t\t\tArray.prototype.push.apply(tiddlerFieldsArray,moduleExports.getInfoTiddlerFields(updateInfoPlugin));\n\t\t}\n\t});\n\tupdateInfoPlugin(tiddlerFieldsArray);\n\tvar changes = $tw.wiki.readPluginInfo([TITLE_INFO_PLUGIN]);\n\t$tw.wiki.registerPluginTiddlers(\"info\",[TITLE_INFO_PLUGIN]);\n\t$tw.wiki.unpackPluginTiddlers();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/load-modules.js": {
            "title": "$:/core/modules/startup/load-modules.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/load-modules.js\ntype: application/javascript\nmodule-type: startup\n\nLoad core modules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"load-modules\";\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Load modules\n\t$tw.modules.applyMethods(\"utils\",$tw.utils);\n\tif($tw.node) {\n\t\t$tw.modules.applyMethods(\"utils-node\",$tw.utils);\n\t}\n\t$tw.modules.applyMethods(\"global\",$tw);\n\t$tw.modules.applyMethods(\"config\",$tw.config);\n\t$tw.Tiddler.fieldModules = $tw.modules.getModulesByTypeAsHashmap(\"tiddlerfield\");\n\t$tw.modules.applyMethods(\"tiddlermethod\",$tw.Tiddler.prototype);\n\t$tw.modules.applyMethods(\"wikimethod\",$tw.Wiki.prototype);\n\t$tw.wiki.addIndexersToWiki();\n\t$tw.modules.applyMethods(\"tiddlerdeserializer\",$tw.Wiki.tiddlerDeserializerModules);\n\t$tw.macros = $tw.modules.getModulesByTypeAsHashmap(\"macro\");\n\t$tw.wiki.initParsers();\n\t$tw.Commander.initCommands();\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/password.js": {
            "title": "$:/core/modules/startup/password.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/password.js\ntype: application/javascript\nmodule-type: startup\n\nPassword handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"password\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t$tw.rootWidget.addEventListener(\"tm-set-password\",function(event) {\n\t\t$tw.passwordPrompt.createPrompt({\n\t\t\tserviceName: $tw.language.getString(\"Encryption/PromptSetPassword\"),\n\t\t\tnoUserName: true,\n\t\t\tsubmitText: $tw.language.getString(\"Encryption/SetPassword\"),\n\t\t\tcanCancel: true,\n\t\t\trepeatPassword: true,\n\t\t\tcallback: function(data) {\n\t\t\t\tif(data) {\n\t\t\t\t\t$tw.crypto.setPassword(data.password);\n\t\t\t\t}\n\t\t\t\treturn true; // Get rid of the password prompt\n\t\t\t}\n\t\t});\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-clear-password\",function(event) {\n\t\tif($tw.browser) {\n\t\t\tif(!confirm($tw.language.getString(\"Encryption/ConfirmClearPassword\"))) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t\t$tw.crypto.setPassword(null);\n\t});\n\t// Ensure that $:/isEncrypted is maintained properly\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,\"$:/isEncrypted\")) {\n\t\t\t$tw.crypto.updateCryptoStateTiddler();\n\t\t}\n\t});\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/plugins.js": {
            "title": "$:/core/modules/startup/plugins.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/plugins.js\ntype: application/javascript\nmodule-type: startup\n\nStartup logic concerned with managing plugins\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"plugins\";\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\nvar TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE = \"$:/status/RequireReloadDueToPluginChange\";\n\nvar PREFIX_CONFIG_REGISTER_PLUGIN_TYPE = \"$:/config/RegisterPluginType/\";\n\nexports.startup = function() {\n\t$tw.wiki.addTiddler({title: TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE,text: \"no\"});\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\t// Work out which of the changed tiddlers are plugins that we need to reregister\n\t\tvar changesToProcess = [],\n\t\t\trequireReloadDueToPluginChange = false;\n\t\t$tw.utils.each(Object.keys(changes),function(title) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title),\n\t\t\t\trequiresReload = $tw.wiki.doesPluginRequireReload(title);\n\t\t\tif(requiresReload) {\n\t\t\t\trequireReloadDueToPluginChange = true;\n\t\t\t} else if(tiddler) {\n\t\t\t\tvar pluginType = tiddler.fields[\"plugin-type\"];\n\t\t\t\tif($tw.wiki.getTiddlerText(PREFIX_CONFIG_REGISTER_PLUGIN_TYPE + (tiddler.fields[\"plugin-type\"] || \"\"),\"no\") === \"yes\") {\n\t\t\t\t\tchangesToProcess.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t\t// Issue warning if any of the tiddlers require a reload\n\t\tif(requireReloadDueToPluginChange) {\n\t\t\t$tw.wiki.addTiddler({title: TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE,text: \"yes\"});\n\t\t}\n\t\t// Read or delete the plugin info of the changed tiddlers\n\t\tif(changesToProcess.length > 0) {\n\t\t\tvar changes = $tw.wiki.readPluginInfo(changesToProcess);\n\t\t\tif(changes.modifiedPlugins.length > 0 || changes.deletedPlugins.length > 0) {\n\t\t\t\tvar changedShadowTiddlers = {};\n\t\t\t\t// Collect the shadow tiddlers of any deleted plugins\n\t\t\t\t$tw.utils.each(changes.deletedPlugins,function(pluginTitle) {\n\t\t\t\t\tvar pluginInfo = $tw.wiki.getPluginInfo(pluginTitle);\n\t\t\t\t\tif(pluginInfo) {\n\t\t\t\t\t\t$tw.utils.each(Object.keys(pluginInfo.tiddlers),function(title) {\n\t\t\t\t\t\t\tchangedShadowTiddlers[title] = true;\n\t\t\t\t\t\t});\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\t// Collect the shadow tiddlers of any modified plugins\n\t\t\t\t$tw.utils.each(changes.modifiedPlugins,function(pluginTitle) {\n\t\t\t\t\tvar pluginInfo = $tw.wiki.getPluginInfo(pluginTitle);\n\t\t\t\t\tif(pluginInfo) {\n\t\t\t\t\t\t$tw.utils.each(Object.keys(pluginInfo.tiddlers),function(title) {\n\t\t\t\t\t\t\tchangedShadowTiddlers[title] = false;\n\t\t\t\t\t\t});\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\t// (Re-)register any modified plugins\n\t\t\t\t$tw.wiki.registerPluginTiddlers(null,changes.modifiedPlugins);\n\t\t\t\t// Unregister any deleted plugins\n\t\t\t\t$tw.wiki.unregisterPluginTiddlers(null,changes.deletedPlugins);\n\t\t\t\t// Unpack the shadow tiddlers\n\t\t\t\t$tw.wiki.unpackPluginTiddlers();\n\t\t\t\t// Queue change events for the changed shadow tiddlers\n\t\t\t\t$tw.utils.each(Object.keys(changedShadowTiddlers),function(title) {\n\t\t\t\t\t$tw.wiki.enqueueTiddlerEvent(title,changedShadowTiddlers[title]);\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\t});\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/render.js": {
            "title": "$:/core/modules/startup/render.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/render.js\ntype: application/javascript\nmodule-type: startup\n\nTitle, stylesheet and page rendering\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"render\";\nexports.platforms = [\"browser\"];\nexports.after = [\"story\"];\nexports.synchronous = true;\n\n// Default story and history lists\nvar PAGE_TITLE_TITLE = \"$:/core/wiki/title\";\nvar PAGE_STYLESHEET_TITLE = \"$:/core/ui/PageStylesheet\";\nvar PAGE_TEMPLATE_TITLE = \"$:/core/ui/RootTemplate\";\n\n// Time (in ms) that we defer refreshing changes to draft tiddlers\nvar DRAFT_TIDDLER_TIMEOUT_TITLE = \"$:/config/Drafts/TypingTimeout\";\nvar THROTTLE_REFRESH_TIMEOUT = 400;\n\nexports.startup = function() {\n\t// Set up the title\n\t$tw.titleWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_TITLE_TITLE,{document: $tw.fakeDocument, parseAsInline: true});\n\t$tw.titleContainer = $tw.fakeDocument.createElement(\"div\");\n\t$tw.titleWidgetNode.render($tw.titleContainer,null);\n\tdocument.title = $tw.titleContainer.textContent;\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.titleWidgetNode.refresh(changes,$tw.titleContainer,null)) {\n\t\t\tdocument.title = $tw.titleContainer.textContent;\n\t\t}\n\t});\n\t// Set up the styles\n\t$tw.styleWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_STYLESHEET_TITLE,{document: $tw.fakeDocument});\n\t$tw.styleContainer = $tw.fakeDocument.createElement(\"style\");\n\t$tw.styleWidgetNode.render($tw.styleContainer,null);\n\t$tw.styleElement = document.createElement(\"style\");\n\t$tw.styleElement.innerHTML = $tw.styleContainer.textContent;\n\tdocument.head.insertBefore($tw.styleElement,document.head.firstChild);\n\t$tw.wiki.addEventListener(\"change\",$tw.perf.report(\"styleRefresh\",function(changes) {\n\t\tif($tw.styleWidgetNode.refresh(changes,$tw.styleContainer,null)) {\n\t\t\t$tw.styleElement.innerHTML = $tw.styleContainer.textContent;\n\t\t}\n\t}));\n\t// Display the $:/core/ui/PageTemplate tiddler to kick off the display\n\t$tw.perf.report(\"mainRender\",function() {\n\t\t$tw.pageWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_TEMPLATE_TITLE,{document: document, parentWidget: $tw.rootWidget, recursionMarker: \"no\"});\n\t\t$tw.pageContainer = document.createElement(\"div\");\n\t\t$tw.utils.addClass($tw.pageContainer,\"tc-page-container-wrapper\");\n\t\tdocument.body.insertBefore($tw.pageContainer,document.body.firstChild);\n\t\t$tw.pageWidgetNode.render($tw.pageContainer,null);\n   \t\t$tw.hooks.invokeHook(\"th-page-refreshed\");\n\t})();\n\t// Remove any splash screen elements\n\tvar removeList = document.querySelectorAll(\".tc-remove-when-wiki-loaded\");\n\t$tw.utils.each(removeList,function(removeItem) {\n\t\tif(removeItem.parentNode) {\n\t\t\tremoveItem.parentNode.removeChild(removeItem);\n\t\t}\n\t});\n\t// Prepare refresh mechanism\n\tvar deferredChanges = Object.create(null),\n\t\ttimerId;\n\tfunction refresh() {\n\t\t// Process the refresh\n\t\t$tw.hooks.invokeHook(\"th-page-refreshing\");\n\t\t$tw.pageWidgetNode.refresh(deferredChanges);\n\t\tdeferredChanges = Object.create(null);\n\t\t$tw.hooks.invokeHook(\"th-page-refreshed\");\n\t}\n\t// Add the change event handler\n\t$tw.wiki.addEventListener(\"change\",$tw.perf.report(\"mainRefresh\",function(changes) {\n\t\t// Check if only tiddlers that are throttled have changed\n\t\tvar onlyThrottledTiddlersHaveChanged = true;\n\t\tfor(var title in changes) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\tif(!tiddler || !(tiddler.hasField(\"draft.of\") || tiddler.hasField(\"throttle.refresh\"))) {\n\t\t\t\tonlyThrottledTiddlersHaveChanged = false;\n\t\t\t}\n\t\t}\n\t\t// Defer the change if only drafts have changed\n\t\tif(timerId) {\n\t\t\tclearTimeout(timerId);\n\t\t}\n\t\ttimerId = null;\n\t\tif(onlyThrottledTiddlersHaveChanged) {\n\t\t\tvar timeout = parseInt($tw.wiki.getTiddlerText(DRAFT_TIDDLER_TIMEOUT_TITLE,\"\"),10);\n\t\t\tif(isNaN(timeout)) {\n\t\t\t\ttimeout = THROTTLE_REFRESH_TIMEOUT;\n\t\t\t}\n\t\t\ttimerId = setTimeout(refresh,timeout);\n\t\t\t$tw.utils.extend(deferredChanges,changes);\n\t\t} else {\n\t\t\t$tw.utils.extend(deferredChanges,changes);\n\t\t\trefresh();\n\t\t}\n\t}));\n\t// Fix up the link between the root widget and the page container\n\t$tw.rootWidget.domNodes = [$tw.pageContainer];\n\t$tw.rootWidget.children = [$tw.pageWidgetNode];\n\t// Run any post-render startup actions\n\t$tw.rootWidget.invokeActionsByTag(\"$:/tags/StartupAction/PostRender\");\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/rootwidget.js": {
            "title": "$:/core/modules/startup/rootwidget.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/rootwidget.js\ntype: application/javascript\nmodule-type: startup\n\nSetup the root widget and the core root widget handlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"rootwidget\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.before = [\"story\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Install the modal message mechanism\n\t$tw.modal = new $tw.utils.Modal($tw.wiki);\n\t$tw.rootWidget.addEventListener(\"tm-modal\",function(event) {\n\t\t$tw.modal.display(event.param,{variables: event.paramObject, event: event});\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-show-switcher\",function(event) {\n\t\t$tw.modal.display(\"$:/core/ui/SwitcherModal\",{variables: event.paramObject, event: event});\n\t});\t\n\t// Install the notification  mechanism\n\t$tw.notifier = new $tw.utils.Notifier($tw.wiki);\n\t$tw.rootWidget.addEventListener(\"tm-notify\",function(event) {\n\t\t$tw.notifier.display(event.param,{variables: event.paramObject});\n\t});\n\t// Install the copy-to-clipboard  mechanism\n\t$tw.rootWidget.addEventListener(\"tm-copy-to-clipboard\",function(event) {\n\t\t$tw.utils.copyToClipboard(event.param);\n\t});\n\t// Install the tm-focus-selector message\n\t$tw.rootWidget.addEventListener(\"tm-focus-selector\",function(event) {\n\t\tvar selector = event.param || \"\",\n\t\t\telement;\n\t\ttry {\n\t\t\telement = document.querySelector(selector);\n\t\t} catch(e) {\n\t\t\tconsole.log(\"Error in selector: \",selector)\n\t\t}\n\t\tif(element && element.focus) {\n\t\t\telement.focus(event.paramObject);\n\t\t}\n\t});\n\t// Install the scroller\n\t$tw.pageScroller = new $tw.utils.PageScroller();\n\t$tw.rootWidget.addEventListener(\"tm-scroll\",function(event) {\n\t\t$tw.pageScroller.handleEvent(event);\n\t});\n\tvar fullscreen = $tw.utils.getFullScreenApis();\n\tif(fullscreen) {\n\t\t$tw.rootWidget.addEventListener(\"tm-full-screen\",function(event) {\n\t\t\tvar fullScreenDocument = event.event ? event.event.target.ownerDocument : document;\n\t\t\tif(event.param === \"enter\") {\n\t\t\t\tfullScreenDocument.documentElement[fullscreen._requestFullscreen](Element.ALLOW_KEYBOARD_INPUT);\n\t\t\t} else if(event.param === \"exit\") {\n\t\t\t\tfullScreenDocument[fullscreen._exitFullscreen]();\n\t\t\t} else {\n\t\t\t\tif(fullScreenDocument[fullscreen._fullscreenElement]) {\n\t\t\t\t\tfullScreenDocument[fullscreen._exitFullscreen]();\n\t\t\t\t} else {\n\t\t\t\t\tfullScreenDocument.documentElement[fullscreen._requestFullscreen](Element.ALLOW_KEYBOARD_INPUT);\n\t\t\t\t}\t\t\t\t\n\t\t\t}\n\t\t});\n\t}\n\t// If we're being viewed on a data: URI then give instructions for how to save\n\tif(document.location.protocol === \"data:\") {\n\t\t$tw.rootWidget.dispatchEvent({\n\t\t\ttype: \"tm-modal\",\n\t\t\tparam: \"$:/language/Modals/SaveInstructions\"\n\t\t});\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup.js": {
            "title": "$:/core/modules/startup.js",
            "text": "/*\\\ntitle: $:/core/modules/startup.js\ntype: application/javascript\nmodule-type: startup\n\nMiscellaneous startup logic for both the client and server.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"startup\";\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\n// Set to `true` to enable performance instrumentation\nvar PERFORMANCE_INSTRUMENTATION_CONFIG_TITLE = \"$:/config/Performance/Instrumentation\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.startup = function() {\n\tvar modules,n,m,f;\n\t// Minimal browser detection\n\tif($tw.browser) {\n\t\t$tw.browser.isIE = (/msie|trident/i.test(navigator.userAgent));\n\t\t$tw.browser.isFirefox = !!document.mozFullScreenEnabled;\n\t}\n\t// Platform detection\n\t$tw.platform = {};\n\tif($tw.browser) {\n\t\t$tw.platform.isMac = /Mac/.test(navigator.platform);\n\t\t$tw.platform.isWindows = /win/i.test(navigator.platform);\n\t\t$tw.platform.isLinux = /Linux/i.test(navigator.platform);\n\t} else {\n\t\tswitch(require(\"os\").platform()) {\n\t\t\tcase \"darwin\":\n\t\t\t\t$tw.platform.isMac = true;\n\t\t\t\tbreak;\n\t\t\tcase \"win32\":\n\t\t\t\t$tw.platform.isWindows = true;\n\t\t\t\tbreak;\n\t\t\tcase \"freebsd\":\n\t\t\t\t$tw.platform.isLinux = true;\n\t\t\t\tbreak;\n\t\t\tcase \"linux\":\n\t\t\t\t$tw.platform.isLinux = true;\n\t\t\t\tbreak;\n\t\t}\n\t}\n\t// Initialise version\n\t$tw.version = $tw.utils.extractVersionInfo();\n\t// Set up the performance framework\n\t$tw.perf = new $tw.Performance($tw.wiki.getTiddlerText(PERFORMANCE_INSTRUMENTATION_CONFIG_TITLE,\"no\") === \"yes\");\n\t// Create a root widget for attaching event handlers. By using it as the parentWidget for another widget tree, one can reuse the event handlers\n\t$tw.rootWidget = new widget.widget({\n\t\ttype: \"widget\",\n\t\tchildren: []\n\t},{\n\t\twiki: $tw.wiki,\n\t\tdocument: $tw.browser ? document : $tw.fakeDocument\n\t});\n\t// Execute any startup actions\n\t$tw.rootWidget.invokeActionsByTag(\"$:/tags/StartupAction\");\n\tif($tw.browser) {\n\t\t$tw.rootWidget.invokeActionsByTag(\"$:/tags/StartupAction/Browser\");\t\t\n\t}\n\tif($tw.node) {\n\t\t$tw.rootWidget.invokeActionsByTag(\"$:/tags/StartupAction/Node\");\t\t\n\t}\n\t// Kick off the language manager and switcher\n\t$tw.language = new $tw.Language();\n\t$tw.languageSwitcher = new $tw.PluginSwitcher({\n\t\twiki: $tw.wiki,\n\t\tpluginType: \"language\",\n\t\tcontrollerTitle: \"$:/language\",\n\t\tdefaultPlugins: [\n\t\t\t\"$:/languages/en-GB\"\n\t\t],\n\t\tonSwitch: function(plugins) {\n\t\t\tif($tw.browser) {\n\t\t\t\tvar pluginTiddler = $tw.wiki.getTiddler(plugins[0]);\n\t\t\t\tif(pluginTiddler) {\n\t\t\t\t\tdocument.documentElement.setAttribute(\"dir\",pluginTiddler.getFieldString(\"text-direction\") || \"auto\");\n\t\t\t\t} else {\n\t\t\t\t\tdocument.documentElement.removeAttribute(\"dir\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\t// Kick off the theme manager\n\t$tw.themeManager = new $tw.PluginSwitcher({\n\t\twiki: $tw.wiki,\n\t\tpluginType: \"theme\",\n\t\tcontrollerTitle: \"$:/theme\",\n\t\tdefaultPlugins: [\n\t\t\t\"$:/themes/tiddlywiki/snowwhite\",\n\t\t\t\"$:/themes/tiddlywiki/vanilla\"\n\t\t]\n\t});\n\t// Kick off the keyboard manager\n\t$tw.keyboardManager = new $tw.KeyboardManager();\n\t// Listen for shortcuts\n\tif($tw.browser) {\n\t\t$tw.utils.addEventListeners(document,[{\n\t\t\tname: \"keydown\",\n\t\t\thandlerObject: $tw.keyboardManager,\n\t\t\thandlerMethod: \"handleKeydownEvent\"\n\t\t}]);\n\t}\n\t// Clear outstanding tiddler store change events to avoid an unnecessary refresh cycle at startup\n\t$tw.wiki.clearTiddlerEventQueue();\n\t// Find a working syncadaptor\n\t$tw.syncadaptor = undefined;\n\t$tw.modules.forEachModuleOfType(\"syncadaptor\",function(title,module) {\n\t\tif(!$tw.syncadaptor && module.adaptorClass) {\n\t\t\t$tw.syncadaptor = new module.adaptorClass({wiki: $tw.wiki});\n\t\t}\n\t});\n\t// Set up the syncer object if we've got a syncadaptor\n\tif($tw.syncadaptor) {\n\t\t$tw.syncer = new $tw.Syncer({wiki: $tw.wiki, syncadaptor: $tw.syncadaptor});\n\t}\n\t// Setup the saver handler\n\t$tw.saverHandler = new $tw.SaverHandler({\n\t\twiki: $tw.wiki,\n\t\tdirtyTracking: !$tw.syncadaptor,\n\t\tpreloadDirty: $tw.boot.preloadDirty || []\n\t});\n\t// Host-specific startup\n\tif($tw.browser) {\n\t\t// Install the popup manager\n\t\t$tw.popup = new $tw.utils.Popup();\n\t\t// Install the animator\n\t\t$tw.anim = new $tw.utils.Animator();\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/story.js": {
            "title": "$:/core/modules/startup/story.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/story.js\ntype: application/javascript\nmodule-type: startup\n\nLoad core modules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"story\";\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n// Default story and history lists\nvar DEFAULT_STORY_TITLE = \"$:/StoryList\";\nvar DEFAULT_HISTORY_TITLE = \"$:/HistoryList\";\n\n// Default tiddlers\nvar DEFAULT_TIDDLERS_TITLE = \"$:/DefaultTiddlers\";\n\n// Config\nvar CONFIG_UPDATE_ADDRESS_BAR = \"$:/config/Navigation/UpdateAddressBar\"; // Can be \"no\", \"permalink\", \"permaview\"\nvar CONFIG_UPDATE_HISTORY = \"$:/config/Navigation/UpdateHistory\"; // Can be \"yes\" or \"no\"\nvar CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD = \"$:/config/Navigation/Permalinkview/CopyToClipboard\"; // Can be \"yes\" (default) or \"no\"\nvar CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR = \"$:/config/Navigation/Permalinkview/UpdateAddressBar\"; // Can be \"yes\" (default) or \"no\"\n\n\n// Links to help, if there is no param\nvar HELP_OPEN_EXTERNAL_WINDOW = \"http://tiddlywiki.com/#WidgetMessage%3A%20tm-open-external-window\";\n\nexports.startup = function() {\n\t// Open startup tiddlers\n\topenStartupTiddlers({\n\t\tdisableHistory: $tw.boot.disableStartupNavigation\n\t});\n\tif($tw.browser) {\n\t\t// Set up location hash update\n\t\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\t\tif($tw.utils.hop(changes,DEFAULT_STORY_TITLE) || $tw.utils.hop(changes,DEFAULT_HISTORY_TITLE)) {\n\t\t\t\tupdateLocationHash({\n\t\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_UPDATE_ADDRESS_BAR,\"permaview\").trim(),\n\t\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim()\n\t\t\t\t});\n\t\t\t}\n\t\t});\n\t\t// Listen for changes to the browser location hash\n\t\twindow.addEventListener(\"hashchange\",function() {\n\t\t\tvar hash = $tw.utils.getLocationHash();\n\t\t\tif(hash !== $tw.locationHash) {\n\t\t\t\t$tw.locationHash = hash;\n\t\t\t\topenStartupTiddlers({defaultToCurrentStory: true});\n\t\t\t}\n\t\t},false);\n\t\t// Listen for the tm-browser-refresh message\n\t\t$tw.rootWidget.addEventListener(\"tm-browser-refresh\",function(event) {\n\t\t\twindow.location.reload(true);\n\t\t});\n\t\t// Listen for tm-open-external-window message\n\t\t$tw.rootWidget.addEventListener(\"tm-open-external-window\",function(event) {\n\t\t\tvar paramObject = event.paramObject || {},\n\t\t\t\tstrUrl = event.param || HELP_OPEN_EXTERNAL_WINDOW,\n\t\t\t\tstrWindowName = paramObject.windowName,\n\t\t\t\tstrWindowFeatures = paramObject.windowFeatures;\n\t\t\twindow.open(strUrl, strWindowName, strWindowFeatures);\n\t\t});\n\t\t// Listen for the tm-print message\n\t\t$tw.rootWidget.addEventListener(\"tm-print\",function(event) {\n\t\t\t(event.event.view || window).print();\n\t\t});\n\t\t// Listen for the tm-home message\n\t\t$tw.rootWidget.addEventListener(\"tm-home\",function(event) {\n\t\t\twindow.location.hash = \"\";\n\t\t\tvar storyFilter = $tw.wiki.getTiddlerText(DEFAULT_TIDDLERS_TITLE),\n\t\t\t\tstoryList = $tw.wiki.filterTiddlers(storyFilter);\n\t\t\t//invoke any hooks that might change the default story list\n\t\t\tstoryList = $tw.hooks.invokeHook(\"th-opening-default-tiddlers-list\",storyList);\n\t\t\t$tw.wiki.addTiddler({title: DEFAULT_STORY_TITLE, text: \"\", list: storyList},$tw.wiki.getModificationFields());\n\t\t\tif(storyList[0]) {\n\t\t\t\t$tw.wiki.addToHistory(storyList[0]);\n\t\t\t}\n\t\t});\n\t\t// Listen for the tm-permalink message\n\t\t$tw.rootWidget.addEventListener(\"tm-permalink\",function(event) {\n\t\t\tupdateLocationHash({\n\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR,\"yes\").trim() === \"yes\" ? \"permalink\" : \"none\",\n\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim(),\n\t\t\t\ttargetTiddler: event.param || event.tiddlerTitle,\n\t\t\t\tcopyToClipboard: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD,\"yes\").trim() === \"yes\" ? \"permalink\" : \"none\"\n\t\t\t});\n\t\t});\n\t\t// Listen for the tm-permaview message\n\t\t$tw.rootWidget.addEventListener(\"tm-permaview\",function(event) {\n\t\t\tupdateLocationHash({\n\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR,\"yes\").trim() === \"yes\" ? \"permaview\" : \"none\",\n\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim(),\n\t\t\t\ttargetTiddler: event.param || event.tiddlerTitle,\n\t\t\t\tcopyToClipboard: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD,\"yes\").trim() === \"yes\" ? \"permaview\" : \"none\"\n\t\t\t});\t\t\t\t\n\t\t});\n\t}\n};\n\n/*\nProcess the location hash to open the specified tiddlers. Options:\ndisableHistory: if true $:/History is NOT updated\ndefaultToCurrentStory: If true, the current story is retained as the default, instead of opening the default tiddlers\n*/\nfunction openStartupTiddlers(options) {\n\toptions = options || {};\n\t// Work out the target tiddler and the story filter. \"null\" means \"unspecified\"\n\tvar target = null,\n\t\tstoryFilter = null;\n\tif($tw.locationHash.length > 1) {\n\t\tvar hash = $tw.locationHash.substr(1),\n\t\t\tsplit = hash.indexOf(\":\");\n\t\tif(split === -1) {\n\t\t\ttarget = decodeURIComponent(hash.trim());\n\t\t} else {\n\t\t\ttarget = decodeURIComponent(hash.substr(0,split).trim());\n\t\t\tstoryFilter = decodeURIComponent(hash.substr(split + 1).trim());\n\t\t}\n\t}\n\t// If the story wasn't specified use the current tiddlers or a blank story\n\tif(storyFilter === null) {\n\t\tif(options.defaultToCurrentStory) {\n\t\t\tvar currStoryList = $tw.wiki.getTiddlerList(DEFAULT_STORY_TITLE);\n\t\t\tstoryFilter = $tw.utils.stringifyList(currStoryList);\n\t\t} else {\n\t\t\tif(target && target !== \"\") {\n\t\t\t\tstoryFilter = \"\";\n\t\t\t} else {\n\t\t\t\tstoryFilter = $tw.wiki.getTiddlerText(DEFAULT_TIDDLERS_TITLE);\n\t\t\t}\n\t\t}\n\t}\n\t// Process the story filter to get the story list\n\tvar storyList = $tw.wiki.filterTiddlers(storyFilter);\n\t// Invoke any hooks that want to change the default story list\n\tstoryList = $tw.hooks.invokeHook(\"th-opening-default-tiddlers-list\",storyList);\n\t// If the target tiddler isn't included then splice it in at the top\n\tif(target && storyList.indexOf(target) === -1) {\n\t\tstoryList.unshift(target);\n\t}\n\t// Save the story list\n\t$tw.wiki.addTiddler({title: DEFAULT_STORY_TITLE, text: \"\", list: storyList},$tw.wiki.getModificationFields());\n\t// Update history\n\tvar story = new $tw.Story({\n\t\twiki: $tw.wiki,\n\t\tstoryTitle: DEFAULT_STORY_TITLE,\n\t\thistoryTitle: DEFAULT_HISTORY_TITLE\n\t});\n\tif(!options.disableHistory) {\n\t\t// If a target tiddler was specified add it to the history stack\n\t\tif(target && target !== \"\") {\n\t\t\t// The target tiddler doesn't need double square brackets, but we'll silently remove them if they're present\n\t\t\tif(target.indexOf(\"[[\") === 0 && target.substr(-2) === \"]]\") {\n\t\t\t\ttarget = target.substr(2,target.length - 4);\n\t\t\t}\n\t\t\tstory.addToHistory(target);\n\t\t} else if(storyList.length > 0) {\n\t\t\tstory.addToHistory(storyList[0]);\n\t\t}\t\t\n\t}\n}\n\n/*\noptions: See below\noptions.updateAddressBar: \"permalink\", \"permaview\" or \"no\" (defaults to \"permaview\")\noptions.updateHistory: \"yes\" or \"no\" (defaults to \"no\")\noptions.copyToClipboard: \"permalink\", \"permaview\" or \"no\" (defaults to \"no\")\noptions.targetTiddler: optional title of target tiddler for permalink\n*/\nfunction updateLocationHash(options) {\n\t// Get the story and the history stack\n\tvar storyList = $tw.wiki.getTiddlerList(DEFAULT_STORY_TITLE),\n\t\thistoryList = $tw.wiki.getTiddlerData(DEFAULT_HISTORY_TITLE,[]),\n\t\ttargetTiddler = \"\";\n\tif(options.targetTiddler) {\n\t\ttargetTiddler = options.targetTiddler;\n\t} else {\n\t\t// The target tiddler is the one at the top of the stack\n\t\tif(historyList.length > 0) {\n\t\t\ttargetTiddler = historyList[historyList.length-1].title;\n\t\t}\n\t\t// Blank the target tiddler if it isn't present in the story\n\t\tif(storyList.indexOf(targetTiddler) === -1) {\n\t\t\ttargetTiddler = \"\";\n\t\t}\n\t}\n\t// Assemble the location hash\n\tswitch(options.updateAddressBar) {\n\t\tcase \"permalink\":\n\t\t\t$tw.locationHash = \"#\" + encodeURIComponent(targetTiddler);\n\t\t\tbreak;\n\t\tcase \"permaview\":\n\t\t\t$tw.locationHash = \"#\" + encodeURIComponent(targetTiddler) + \":\" + encodeURIComponent($tw.utils.stringifyList(storyList));\n\t\t\tbreak;\n\t}\n\t// Copy URL to the clipboard\n\tswitch(options.copyToClipboard) {\n\t\tcase \"permalink\":\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getLocationPath() + \"#\" + encodeURIComponent(targetTiddler));\n\t\t\tbreak;\n\t\tcase \"permaview\":\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getLocationPath() + \"#\" + encodeURIComponent(targetTiddler) + \":\" + encodeURIComponent($tw.utils.stringifyList(storyList)));\n\t\t\tbreak;\n\t}\n\t// Only change the location hash if we must, thus avoiding unnecessary onhashchange events\n\tif($tw.utils.getLocationHash() !== $tw.locationHash) {\n\t\tif(options.updateHistory === \"yes\") {\n\t\t\t// Assign the location hash so that history is updated\n\t\t\twindow.location.hash = $tw.locationHash;\n\t\t} else {\n\t\t\t// We use replace so that browser history isn't affected\n\t\t\twindow.location.replace(window.location.toString().split(\"#\")[0] + $tw.locationHash);\n\t\t}\n\t}\n}\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/startup/windows.js": {
            "title": "$:/core/modules/startup/windows.js",
            "text": "/*\\\ntitle: $:/core/modules/startup/windows.js\ntype: application/javascript\nmodule-type: startup\n\nSetup root widget handlers for the messages concerned with opening external browser windows\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"windows\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n// Global to keep track of open windows (hashmap by title)\n$tw.windows = {};\n\nexports.startup = function() {\n\t// Handle open window message\n\t$tw.rootWidget.addEventListener(\"tm-open-window\",function(event) {\n\t\t// Get the parameters\n\t\tvar refreshHandler,\n\t\t\ttitle = event.param || event.tiddlerTitle,\n\t\t\tparamObject = event.paramObject || {},\n\t\t\twindowTitle = paramObject.windowTitle || title,\n\t\t\ttemplate = paramObject.template || \"$:/core/templates/single.tiddler.window\",\n\t\t\twidth = paramObject.width || \"700\",\n\t\t\theight = paramObject.height || \"600\",\n\t\t\tvariables = $tw.utils.extend({},paramObject,{currentTiddler: title});\n\t\t// Open the window\n\t\tvar srcWindow,\n\t\t    srcDocument;\n\t\t// In case that popup blockers deny opening a new window\n\t\ttry {\n\t\t\tsrcWindow = window.open(\"\",\"external-\" + title,\"scrollbars,width=\" + width + \",height=\" + height),\n\t\t\tsrcDocument = srcWindow.document;\n\t\t}\n\t\tcatch(e) {\n\t\t\treturn;\n\t\t}\n\t\t$tw.windows[title] = srcWindow;\n\t\t// Check for reopening the same window\n\t\tif(srcWindow.haveInitialisedWindow) {\n\t\t\treturn;\n\t\t}\n\t\t// Initialise the document\n\t\tsrcDocument.write(\"<html><head></head><body class='tc-body tc-single-tiddler-window'></body></html>\");\n\t\tsrcDocument.close();\n\t\tsrcDocument.title = windowTitle;\n\t\tsrcWindow.addEventListener(\"beforeunload\",function(event) {\n\t\t\tdelete $tw.windows[title];\n\t\t\t$tw.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t},false);\n\t\t// Set up the styles\n\t\tvar styleWidgetNode = $tw.wiki.makeTranscludeWidget(\"$:/core/ui/PageStylesheet\",{\n\t\t\t\tdocument: $tw.fakeDocument,\n\t\t\t\tvariables: variables,\n\t\t\t\timportPageMacros: true}),\n\t\t\tstyleContainer = $tw.fakeDocument.createElement(\"style\");\n\t\tstyleWidgetNode.render(styleContainer,null);\n\t\tvar styleElement = srcDocument.createElement(\"style\");\n\t\tstyleElement.innerHTML = styleContainer.textContent;\n\t\tsrcDocument.head.insertBefore(styleElement,srcDocument.head.firstChild);\n\t\t// Render the text of the tiddler\n\t\tvar parser = $tw.wiki.parseTiddler(template),\n\t\t\twidgetNode = $tw.wiki.makeWidget(parser,{document: srcDocument, parentWidget: $tw.rootWidget, variables: variables});\n\t\twidgetNode.render(srcDocument.body,srcDocument.body.firstChild);\n\t\t// Function to handle refreshes\n\t\trefreshHandler = function(changes) {\n\t\t\tif(styleWidgetNode.refresh(changes,styleContainer,null)) {\n\t\t\t\tstyleElement.innerHTML = styleContainer.textContent;\n\t\t\t}\n\t\t\twidgetNode.refresh(changes);\n\t\t};\n\t\t$tw.wiki.addEventListener(\"change\",refreshHandler);\n\t\t// Listen for keyboard shortcuts\n\t\t$tw.utils.addEventListeners(srcDocument,[{\n\t\t\tname: \"keydown\",\n\t\t\thandlerObject: $tw.keyboardManager,\n\t\t\thandlerMethod: \"handleKeydownEvent\"\n\t\t}]);\n\t\tsrcWindow.document.documentElement.addEventListener(\"click\",$tw.popup,true);\n\t\tsrcWindow.haveInitialisedWindow = true;\n\t});\n\t// Close open windows when unloading main window\n\t$tw.addUnloadTask(function() {\n\t\t$tw.utils.each($tw.windows,function(win) {\n\t\t\twin.close();\n\t\t});\n\t});\n\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/core/modules/story.js": {
            "title": "$:/core/modules/story.js",
            "text": "/*\\\ntitle: $:/core/modules/story.js\ntype: application/javascript\nmodule-type: global\n\nLightweight object for managing interactions with the story and history lists.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nConstruct Story object with options:\nwiki: reference to wiki object to use to resolve tiddler titles\nstoryTitle: title of story list tiddler\nhistoryTitle: title of history list tiddler\n*/\nfunction Story(options) {\n\toptions = options || {};\n\tthis.wiki = options.wiki || $tw.wiki;\n\tthis.storyTitle = options.storyTitle || \"$:/StoryList\";\n\tthis.historyTitle = options.historyTitle || \"$:/HistoryList\";\n};\n\nStory.prototype.navigateTiddler = function(navigateTo,navigateFromTitle,navigateFromClientRect) {\n\tthis.addToStory(navigateTo,navigateFromTitle);\n\tthis.addToHistory(navigateTo,navigateFromClientRect);\n};\n\nStory.prototype.getStoryList = function() {\n\treturn this.wiki.getTiddlerList(this.storyTitle) || [];\n};\n\nStory.prototype.addToStory = function(navigateTo,navigateFromTitle,options) {\n\toptions = options || {};\n\tvar storyList = this.getStoryList();\n\t// See if the tiddler is already there\n\tvar slot = storyList.indexOf(navigateTo);\n\t// Quit if it already exists in the story river\n\tif(slot >= 0) {\n\t\treturn;\n\t}\n\t// First we try to find the position of the story element we navigated from\n\tvar fromIndex = storyList.indexOf(navigateFromTitle);\n\tif(fromIndex >= 0) {\n\t\t// The tiddler is added from inside the river\n\t\t// Determine where to insert the tiddler; Fallback is \"below\"\n\t\tswitch(options.openLinkFromInsideRiver) {\n\t\t\tcase \"top\":\n\t\t\t\tslot = 0;\n\t\t\t\tbreak;\n\t\t\tcase \"bottom\":\n\t\t\t\tslot = storyList.length;\n\t\t\t\tbreak;\n\t\t\tcase \"above\":\n\t\t\t\tslot = fromIndex;\n\t\t\t\tbreak;\n\t\t\tcase \"below\": // Intentional fall-through\n\t\t\tdefault:\n\t\t\t\tslot = fromIndex + 1;\n\t\t\t\tbreak;\n\t\t}\n\t} else {\n\t\t// The tiddler is opened from outside the river. Determine where to insert the tiddler; default is \"top\"\n\t\tif(options.openLinkFromOutsideRiver === \"bottom\") {\n\t\t\t// Insert at bottom\n\t\t\tslot = storyList.length;\n\t\t} else {\n\t\t\t// Insert at top\n\t\t\tslot = 0;\n\t\t}\n\t}\n\t// Add the tiddler\n\tstoryList.splice(slot,0,navigateTo);\n\t// Save the story\n\tthis.saveStoryList(storyList);\n};\n\nStory.prototype.saveStoryList = function(storyList) {\n\tvar storyTiddler = this.wiki.getTiddler(this.storyTitle);\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\tthis.wiki.getCreationFields(),\n\t\t{title: this.storyTitle},\n\t\tstoryTiddler,\n\t\t{list: storyList},\n\t\tthis.wiki.getModificationFields()\n\t));\n};\n\nStory.prototype.addToHistory = function(navigateTo,navigateFromClientRect) {\n\tvar titles = $tw.utils.isArray(navigateTo) ? navigateTo : [navigateTo];\n\t// Add a new record to the top of the history stack\n\tvar historyList = this.wiki.getTiddlerData(this.historyTitle,[]);\n\t$tw.utils.each(titles,function(title) {\n\t\thistoryList.push({title: title, fromPageRect: navigateFromClientRect});\n\t});\n\tthis.wiki.setTiddlerData(this.historyTitle,historyList,{\"current-tiddler\": titles[titles.length-1]});\n};\n\nStory.prototype.storyCloseTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyCloseAllTiddlers = function() {\n// TBD\n};\n\nStory.prototype.storyCloseOtherTiddlers = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyEditTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyDeleteTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storySaveTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyCancelTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyNewTiddler = function(targetTitle) {\n// TBD\n};\n\nexports.Story = Story;\n\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/storyviews/classic.js": {
            "title": "$:/core/modules/storyviews/classic.js",
            "text": "/*\\\ntitle: $:/core/modules/storyviews/classic.js\ntype: application/javascript\nmodule-type: storyview\n\nViews the story as a linear sequence\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\nvar ClassicStoryView = function(listWidget) {\n\tthis.listWidget = listWidget;\n};\n\nClassicStoryView.prototype.navigateTo = function(historyInfo) {\n\tvar duration = $tw.utils.getAnimationDuration()\n\tvar listElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\tif(duration) {\n\t\t// Scroll the node into view\n\t\tthis.listWidget.dispatchEvent({type: \"tm-scroll\", target: targetElement});\t\n\t} else {\n\t\ttargetElement.scrollIntoView();\n\t}\n};\n\nClassicStoryView.prototype.insert = function(widget) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tif(duration) {\n\t\tvar targetElement = widget.findFirstDomNode();\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(targetElement instanceof Element)) {\n\t\t\treturn;\n\t\t}\n\t\t// Get the current height of the tiddler\n\t\tvar computedStyle = window.getComputedStyle(targetElement),\n\t\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\t\tcurrHeight = targetElement.offsetHeight + currMarginTop;\n\t\t// Reset the margin once the transition is over\n\t\tsetTimeout(function() {\n\t\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t\t{transition: \"none\"},\n\t\t\t\t{marginBottom: \"\"}\n\t\t\t]);\n\t\t},duration);\n\t\t// Set up the initial position of the element\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t\t{opacity: \"0.0\"}\n\t\t]);\n\t\t$tw.utils.forceLayout(targetElement);\n\t\t// Transition to the final position\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t\t{opacity: \"1.0\"}\n\t]);\n\t}\n};\n\nClassicStoryView.prototype.remove = function(widget) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tif(duration) {\n\t\tvar targetElement = widget.findFirstDomNode(),\n\t\t\tremoveElement = function() {\n\t\t\t\twidget.removeChildDomNodes();\n\t\t\t};\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(targetElement instanceof Element)) {\n\t\t\tremoveElement();\n\t\t\treturn;\n\t\t}\n\t\t// Get the current height of the tiddler\n\t\tvar currWidth = targetElement.offsetWidth,\n\t\t\tcomputedStyle = window.getComputedStyle(targetElement),\n\t\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\t\tcurrHeight = targetElement.offsetHeight + currMarginTop;\n\t\t// Remove the dom nodes of the widget at the end of the transition\n\t\tsetTimeout(removeElement,duration);\n\t\t// Animate the closure\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{transform: \"translateX(0px)\"},\n\t\t\t{marginBottom:  currMarginBottom + \"px\"},\n\t\t\t{opacity: \"1.0\"}\n\t\t]);\n\t\t$tw.utils.forceLayout(targetElement);\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t\t{transform: \"translateX(-\" + currWidth + \"px)\"},\n\t\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t\t{opacity: \"0.0\"}\n\t\t]);\n\t} else {\n\t\twidget.removeChildDomNodes();\n\t}\n};\n\nexports.classic = ClassicStoryView;\n\n})();",
            "type": "application/javascript",
            "module-type": "storyview"
        },
        "$:/core/modules/storyviews/pop.js": {
            "title": "$:/core/modules/storyviews/pop.js",
            "text": "/*\\\ntitle: $:/core/modules/storyviews/pop.js\ntype: application/javascript\nmodule-type: storyview\n\nAnimates list insertions and removals\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar PopStoryView = function(listWidget) {\n\tthis.listWidget = listWidget;\n};\n\nPopStoryView.prototype.navigateTo = function(historyInfo) {\n\tvar listElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Scroll the node into view\n\tthis.listWidget.dispatchEvent({type: \"tm-scroll\", target: targetElement});\n};\n\nPopStoryView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Reset once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{transform: \"none\"}\n\t\t]);\n\t\t$tw.utils.setStyle(widget.document.body,[\n\t\t\t{\"overflow-x\": \"\"}\n\t\t]);\n\t},duration);\n\t// Prevent the page from overscrolling due to the zoom factor\n\t$tw.utils.setStyle(widget.document.body,[\n\t\t{\"overflow-x\": \"hidden\"}\n\t]);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"scale(2)\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t// Transition to the final position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{transform: \"scale(1)\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n};\n\nPopStoryView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\tif(targetElement && targetElement.parentNode) {\n\t\t\t\twidget.removeChildDomNodes();\n\t\t\t}\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Remove the element at the end of the transition\n\tsetTimeout(removeElement,duration);\n\t// Animate the closure\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"scale(1)\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{transform: \"scale(0.1)\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n};\n\nexports.pop = PopStoryView;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "storyview"
        },
        "$:/core/modules/storyviews/zoomin.js": {
            "title": "$:/core/modules/storyviews/zoomin.js",
            "text": "/*\\\ntitle: $:/core/modules/storyviews/zoomin.js\ntype: application/javascript\nmodule-type: storyview\n\nZooms between individual tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\nvar ZoominListView = function(listWidget) {\n\tvar self = this;\n\tthis.listWidget = listWidget;\n\t// Get the index of the tiddler that is at the top of the history\n\tvar history = this.listWidget.wiki.getTiddlerDataCached(this.listWidget.historyTitle,[]),\n\t\ttargetTiddler;\n\tif(history.length > 0) {\n\t\ttargetTiddler = history[history.length-1].title;\n\t}\n\t// Make all the tiddlers position absolute, and hide all but the top (or first) one\n\t$tw.utils.each(this.listWidget.children,function(itemWidget,index) {\n\t\tvar domNode = itemWidget.findFirstDomNode();\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(domNode instanceof Element)) {\n\t\t\treturn;\n\t\t}\n\t\tif((targetTiddler && targetTiddler !== itemWidget.parseTreeNode.itemTitle) || (!targetTiddler && index)) {\n\t\t\tdomNode.style.display = \"none\";\n\t\t} else {\n\t\t\tself.currentTiddlerDomNode = domNode;\n\t\t}\n\t\t$tw.utils.addClass(domNode,\"tc-storyview-zoomin-tiddler\");\n\t});\n};\n\nZoominListView.prototype.navigateTo = function(historyInfo) {\n\tvar duration = $tw.utils.getAnimationDuration(),\n\t\tlistElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Make the new tiddler be position absolute and visible so that we can measure it\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"block\"},\n\t\t{transformOrigin: \"0 0\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{transition: \"none\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t// Get the position of the source node, or use the centre of the window as the source position\n\tvar sourceBounds = historyInfo.fromPageRect || {\n\t\t\tleft: window.innerWidth/2 - 2,\n\t\t\ttop: window.innerHeight/2 - 2,\n\t\t\twidth: window.innerWidth/8,\n\t\t\theight: window.innerHeight/8\n\t\t};\n\t// Try to find the title node in the target tiddler\n\tvar titleDomNode = findTitleDomNode(listItemWidget) || listItemWidget.findFirstDomNode(),\n\t\tzoomBounds = titleDomNode.getBoundingClientRect();\n\t// Compute the transform for the target tiddler to make the title lie over the source rectange\n\tvar targetBounds = targetElement.getBoundingClientRect(),\n\t\tscale = sourceBounds.width / zoomBounds.width,\n\t\tx = sourceBounds.left - targetBounds.left - (zoomBounds.left - targetBounds.left) * scale,\n\t\ty = sourceBounds.top - targetBounds.top - (zoomBounds.top - targetBounds.top) * scale;\n\t// Transform the target tiddler to its starting position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transform: \"translateX(\" + x + \"px) translateY(\" + y + \"px) scale(\" + scale + \")\"}\n\t]);\n\t// Force layout\n\t$tw.utils.forceLayout(targetElement);\n\t// Apply the ending transitions with a timeout to ensure that the previously applied transformations are applied first\n\tvar self = this,\n\t\tprevCurrentTiddler = this.currentTiddlerDomNode;\n\tthis.currentTiddlerDomNode = targetElement;\n\t// Transform the target tiddler to its natural size\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t{opacity: \"1.0\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{zIndex: \"500\"},\n\t]);\n\t// Transform the previous tiddler out of the way and then hide it\n\tif(prevCurrentTiddler && prevCurrentTiddler !== targetElement) {\n\t\tscale = zoomBounds.width / sourceBounds.width;\n\t\tx =  zoomBounds.left - targetBounds.left - (sourceBounds.left - targetBounds.left) * scale;\n\t\ty =  zoomBounds.top - targetBounds.top - (sourceBounds.top - targetBounds.top) * scale;\n\t\t$tw.utils.setStyle(prevCurrentTiddler,[\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t\t{opacity: \"0.0\"},\n\t\t\t{transformOrigin: \"0 0\"},\n\t\t\t{transform: \"translateX(\" + x + \"px) translateY(\" + y + \"px) scale(\" + scale + \")\"},\n\t\t\t{zIndex: \"0\"}\n\t\t]);\n\t\t// Hide the tiddler when the transition has finished\n\t\tsetTimeout(function() {\n\t\t\tif(self.currentTiddlerDomNode !== prevCurrentTiddler) {\n\t\t\t\tprevCurrentTiddler.style.display = \"none\";\n\t\t\t}\n\t\t},duration);\n\t}\n\t// Scroll the target into view\n//\t$tw.pageScroller.scrollIntoView(targetElement);\n};\n\n/*\nFind the first child DOM node of a widget that has the class \"tc-title\"\n*/\nfunction findTitleDomNode(widget,targetClass) {\n\ttargetClass = targetClass || \"tc-title\";\n\tvar domNode = widget.findFirstDomNode();\n\tif(domNode && domNode.querySelector) {\n\t\treturn domNode.querySelector(\".\" + targetClass);\n\t}\n\treturn null;\n}\n\nZoominListView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Make the newly inserted node position absolute and hidden\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"none\"}\n\t]);\n};\n\nZoominListView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\twidget.removeChildDomNodes();\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Abandon if hidden\n\tif(targetElement.style.display != \"block\" ) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Set up the tiddler that is being closed\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"block\"},\n\t\t{transformOrigin: \"50% 50%\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{transition: \"none\"},\n\t\t{zIndex: \"0\"}\n\t]);\n\t// We'll move back to the previous or next element in the story\n\tvar toWidget = widget.previousSibling();\n\tif(!toWidget) {\n\t\ttoWidget = widget.nextSibling();\n\t}\n\tvar toWidgetDomNode = toWidget && toWidget.findFirstDomNode();\n\t// Set up the tiddler we're moving back in\n\tif(toWidgetDomNode) {\n\t\t$tw.utils.addClass(toWidgetDomNode,\"tc-storyview-zoomin-tiddler\");\n\t\t$tw.utils.setStyle(toWidgetDomNode,[\n\t\t\t{display: \"block\"},\n\t\t\t{transformOrigin: \"50% 50%\"},\n\t\t\t{transform: \"translateX(0px) translateY(0px) scale(10)\"},\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t\t{opacity: \"0\"},\n\t\t\t{zIndex: \"500\"}\n\t\t]);\n\t\tthis.currentTiddlerDomNode = toWidgetDomNode;\n\t}\n\t// Animate them both\n\t// Force layout\n\t$tw.utils.forceLayout(this.listWidget.parentDomNode);\n\t// First, the tiddler we're closing\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transformOrigin: \"50% 50%\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(0.1)\"},\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t{opacity: \"0\"},\n\t\t{zIndex: \"0\"}\n\t]);\n\tsetTimeout(removeElement,duration);\n\t// Now the tiddler we're going back to\n\tif(toWidgetDomNode) {\n\t\t$tw.utils.setStyle(toWidgetDomNode,[\n\t\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t\t{opacity: \"1\"}\n\t\t]);\n\t}\n\treturn true; // Indicate that we'll delete the DOM node\n};\n\nexports.zoomin = ZoominListView;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "storyview"
        },
        "$:/core/modules/syncer.js": {
            "title": "$:/core/modules/syncer.js",
            "text": "/*\\\ntitle: $:/core/modules/syncer.js\ntype: application/javascript\nmodule-type: global\n\nThe syncer tracks changes to the store and synchronises them to a remote data store represented as a \"sync adaptor\"\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nDefaults\n*/\nSyncer.prototype.titleIsLoggedIn = \"$:/status/IsLoggedIn\";\nSyncer.prototype.titleIsAnonymous = \"$:/status/IsAnonymous\";\nSyncer.prototype.titleIsReadOnly = \"$:/status/IsReadOnly\";\nSyncer.prototype.titleUserName = \"$:/status/UserName\";\nSyncer.prototype.titleSyncFilter = \"$:/config/SyncFilter\";\nSyncer.prototype.titleSyncPollingInterval = \"$:/config/SyncPollingInterval\";\nSyncer.prototype.titleSyncDisableLazyLoading = \"$:/config/SyncDisableLazyLoading\";\nSyncer.prototype.titleSavedNotification = \"$:/language/Notifications/Save/Done\";\nSyncer.prototype.titleSyncThrottleInterval = \"$:/config/SyncThrottleInterval\";\nSyncer.prototype.taskTimerInterval = 1 * 1000; // Interval for sync timer\nSyncer.prototype.throttleInterval = 1 * 1000; // Defer saving tiddlers if they've changed in the last 1s...\nSyncer.prototype.errorRetryInterval = 5 * 1000; // Interval to retry after an error\nSyncer.prototype.fallbackInterval = 10 * 1000; // Unless the task is older than 10s\nSyncer.prototype.pollTimerInterval = 60 * 1000; // Interval for polling for changes from the adaptor\n\n/*\nInstantiate the syncer with the following options:\nsyncadaptor: reference to syncadaptor to be used\nwiki: wiki to be synced\n*/\nfunction Syncer(options) {\n\tvar self = this;\n\tthis.wiki = options.wiki;\n\t// Save parameters\n\tthis.syncadaptor = options.syncadaptor;\n\tthis.disableUI = !!options.disableUI;\n\tthis.titleIsLoggedIn = options.titleIsLoggedIn || this.titleIsLoggedIn;\n\tthis.titleUserName = options.titleUserName || this.titleUserName;\n\tthis.titleSyncFilter = options.titleSyncFilter || this.titleSyncFilter;\n\tthis.titleSavedNotification = options.titleSavedNotification || this.titleSavedNotification;\n\tthis.taskTimerInterval = options.taskTimerInterval || this.taskTimerInterval;\n\tthis.throttleInterval = options.throttleInterval || parseInt(this.wiki.getTiddlerText(this.titleSyncThrottleInterval,\"\"),10) || this.throttleInterval;\n\tthis.errorRetryInterval = options.errorRetryInterval || this.errorRetryInterval;\n\tthis.fallbackInterval = options.fallbackInterval || this.fallbackInterval;\n\tthis.pollTimerInterval = options.pollTimerInterval || parseInt(this.wiki.getTiddlerText(this.titleSyncPollingInterval,\"\"),10) || this.pollTimerInterval;\n\tthis.logging = \"logging\" in options ? options.logging : true;\n\t// Make a logger\n\tthis.logger = new $tw.utils.Logger(\"syncer\" + ($tw.browser ? \"-browser\" : \"\") + ($tw.node ? \"-server\" : \"\")  + (this.syncadaptor.name ? (\"-\" + this.syncadaptor.name) : \"\"),{\n\t\tcolour: \"cyan\",\n\t\tenable: this.logging,\n\t\tsaveHistory: true\n\t});\n\t// Make another logger for connection errors\n\tthis.loggerConnection = new $tw.utils.Logger(\"syncer\" + ($tw.browser ? \"-browser\" : \"\") + ($tw.node ? \"-server\" : \"\")  + (this.syncadaptor.name ? (\"-\" + this.syncadaptor.name) : \"\") + \"-connection\",{\n\t\tcolour: \"cyan\",\n\t\tenable: this.logging\n\t});\n\t// Ask the syncadaptor to use the main logger\n\tif(this.syncadaptor.setLoggerSaveBuffer) {\n\t\tthis.syncadaptor.setLoggerSaveBuffer(this.logger);\n\t}\n\t// Compile the dirty tiddler filter\n\tthis.filterFn = this.wiki.compileFilter(this.wiki.getTiddlerText(this.titleSyncFilter));\n\t// Record information for known tiddlers\n\tthis.readTiddlerInfo();\n\tthis.titlesToBeLoaded = {}; // Hashmap of titles of tiddlers that need loading from the server\n\tthis.titlesHaveBeenLazyLoaded = {}; // Hashmap of titles of tiddlers that have already been lazily loaded from the server\n\t// Timers\n\tthis.taskTimerId = null; // Timer for task dispatch\n\tthis.pollTimerId = null; // Timer for polling server\n\t// Number of outstanding requests\n\tthis.numTasksInProgress = 0;\n\t// Listen out for changes to tiddlers\n\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\t// Filter the changes to just include ones that are being synced\n\t\tvar filteredChanges = self.getSyncedTiddlers(function(callback) {\n\t\t\t$tw.utils.each(changes,function(change,title) {\n\t\t\t\tvar tiddler = self.wiki.tiddlerExists(title) && self.wiki.getTiddler(title);\n\t\t\t\tcallback(tiddler,title);\n\t\t\t});\n\t\t});\n\t\tif(filteredChanges.length > 0) {\n\t\t\tself.processTaskQueue();\n\t\t} else {\n\t\t\t// Look for deletions of tiddlers we're already syncing\t\n\t\t\tvar outstandingDeletion = false\n\t\t\t$tw.utils.each(changes,function(change,title,object) {\n\t\t\t\tif(change.deleted && $tw.utils.hop(self.tiddlerInfo,title)) {\n\t\t\t\t\toutstandingDeletion = true;\n\t\t\t\t}\n\t\t\t});\n\t\t\tif(outstandingDeletion) {\n\t\t\t\tself.processTaskQueue();\n\t\t\t}\n\t\t}\n\t});\n\t// Browser event handlers\n\tif($tw.browser && !this.disableUI) {\n\t\t// Set up our beforeunload handler\n\t\t$tw.addUnloadTask(function(event) {\n\t\t\tvar confirmationMessage;\n\t\t\tif(self.isDirty()) {\n\t\t\t\tconfirmationMessage = $tw.language.getString(\"UnsavedChangesWarning\");\n\t\t\t\tevent.returnValue = confirmationMessage; // Gecko\n\t\t\t}\n\t\t\treturn confirmationMessage;\n\t\t});\n\t\t// Listen out for login/logout/refresh events in the browser\n\t\t$tw.rootWidget.addEventListener(\"tm-login\",function(event) {\n\t\t\tvar username = event && event.paramObject && event.paramObject.username,\n\t\t\t\tpassword = event && event.paramObject && event.paramObject.password;\n\t\t\tif(username && password) {\n\t\t\t\t// Login with username and password\n\t\t\t\tself.login(username,password,function() {});\n\t\t\t} else {\n\t\t\t\t// No username and password, so we display a prompt\n\t\t\t\tself.handleLoginEvent();\t\t\t\t\n\t\t\t}\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-logout\",function() {\n\t\t\tself.handleLogoutEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-server-refresh\",function() {\n\t\t\tself.handleRefreshEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-copy-syncer-logs-to-clipboard\",function() {\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getSystemInfo() + \"\\n\\nLog:\\n\" + self.logger.getBuffer());\n\t\t});\n\t}\n\t// Listen out for lazyLoad events\n\tif(!this.disableUI && this.wiki.getTiddlerText(this.titleSyncDisableLazyLoading) !== \"yes\") {\n\t\tthis.wiki.addEventListener(\"lazyLoad\",function(title) {\n\t\t\tself.handleLazyLoadEvent(title);\n\t\t});\t\t\n\t}\n\t// Get the login status\n\tthis.getStatus(function(err,isLoggedIn) {\n\t\t// Do a sync from the server\n\t\tself.syncFromServer();\n\t});\n}\n\n/*\nShow a generic network error alert\n*/\nSyncer.prototype.displayError = function(msg,err) {\n\tif(err === ($tw.language.getString(\"Error/XMLHttpRequest\") + \": 0\")) {\n\t\tthis.loggerConnection.alert($tw.language.getString(\"Error/NetworkErrorAlert\"));\n\t\tthis.logger.log(msg + \":\",err);\n\t} else {\n\t\tthis.logger.alert(msg + \":\",err);\n\t}\n};\n\n/*\nReturn an array of the tiddler titles that are subjected to syncing\n*/\nSyncer.prototype.getSyncedTiddlers = function(source) {\n\treturn this.filterFn.call(this.wiki,source);\n};\n\n/*\nReturn an array of the tiddler titles that are subjected to syncing\n*/\nSyncer.prototype.getTiddlerRevision = function(title) {\n\tif(this.syncadaptor && this.syncadaptor.getTiddlerRevision) {\n\t\treturn this.syncadaptor.getTiddlerRevision(title);\n\t} else {\n\t\treturn this.wiki.getTiddler(title).fields.revision;\t\n\t} \n};\n\n/*\nRead (or re-read) the latest tiddler info from the store\n*/\nSyncer.prototype.readTiddlerInfo = function() {\n\t// Hashmap by title of {revision:,changeCount:,adaptorInfo:}\n\t// \"revision\" is the revision of the tiddler last seen on the server, and \"changecount\" is the corresponding local changecount\n\tthis.tiddlerInfo = {};\n\t// Record information for known tiddlers\n\tvar self = this,\n\t\ttiddlers = this.getSyncedTiddlers();\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\tif(tiddler) {\n\t\t\tself.tiddlerInfo[title] = {\n\t\t\t\trevision: self.getTiddlerRevision(title),\n\t\t\t\tadaptorInfo: self.syncadaptor && self.syncadaptor.getTiddlerInfo(tiddler),\n\t\t\t\tchangeCount: self.wiki.getChangeCount(title)\n\t\t\t};\n\t\t}\n\t});\n};\n\n/*\nChecks whether the wiki is dirty (ie the window shouldn't be closed)\n*/\nSyncer.prototype.isDirty = function() {\n\tthis.logger.log(\"Checking dirty status\");\n\t// Check tiddlers that are in the store and included in the filter function\n\tvar titles = this.getSyncedTiddlers();\n\tfor(var index=0; index<titles.length; index++) {\n\t\tvar title = titles[index],\n\t\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\tif(this.wiki.tiddlerExists(title)) {\n\t\t\tif(tiddlerInfo) {\n\t\t\t\t// If the tiddler is known on the server and has been modified locally then it needs to be saved to the server\n\t\t\t\tif(this.wiki.getChangeCount(title) > tiddlerInfo.changeCount) {\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// If the tiddler isn't known on the server then it needs to be saved to the server\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t}\n\t// Check tiddlers that are known from the server but not currently in the store\n\ttitles = Object.keys(this.tiddlerInfo);\n\tfor(index=0; index<titles.length; index++) {\n\t\tif(!this.wiki.tiddlerExists(titles[index])) {\n\t\t\t// There must be a pending delete\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nUpdate the document body with the class \"tc-dirty\" if the wiki has unsaved/unsynced changes\n*/\nSyncer.prototype.updateDirtyStatus = function() {\n\tif($tw.browser && !this.disableUI) {\n\t\tvar dirty = this.isDirty();\n\t\t$tw.utils.toggleClass(document.body,\"tc-dirty\",dirty);\n\t\tif(!dirty) {\n\t\t\tthis.loggerConnection.clearAlerts();\n\t\t}\n\t}\n};\n\n/*\nSave an incoming tiddler in the store, and updates the associated tiddlerInfo\n*/\nSyncer.prototype.storeTiddler = function(tiddlerFields) {\n\t// Save the tiddler\n\tvar tiddler = new $tw.Tiddler(tiddlerFields);\n\tthis.wiki.addTiddler(tiddler);\n\t// Save the tiddler revision and changeCount details\n\tthis.tiddlerInfo[tiddlerFields.title] = {\n\t\trevision: this.getTiddlerRevision(tiddlerFields.title),\n\t\tadaptorInfo: this.syncadaptor.getTiddlerInfo(tiddler),\n\t\tchangeCount: this.wiki.getChangeCount(tiddlerFields.title)\n\t};\n};\n\nSyncer.prototype.getStatus = function(callback) {\n\tvar self = this;\n\t// Check if the adaptor supports getStatus()\n\tif(this.syncadaptor && this.syncadaptor.getStatus) {\n\t\t// Mark us as not logged in\n\t\tthis.wiki.addTiddler({title: this.titleIsLoggedIn,text: \"no\"});\n\t\t// Get login status\n\t\tthis.syncadaptor.getStatus(function(err,isLoggedIn,username,isReadOnly,isAnonymous) {\n\t\t\tif(err) {\n\t\t\t\tself.logger.alert(err);\n\t\t\t} else {\n\t\t\t\t// Set the various status tiddlers\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsReadOnly,text: isReadOnly ? \"yes\" : \"no\"});\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsAnonymous,text: isAnonymous ? \"yes\" : \"no\"});\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsLoggedIn,text: isLoggedIn ? \"yes\" : \"no\"});\n\t\t\t\tif(isLoggedIn) {\n\t\t\t\t\tself.wiki.addTiddler({title: self.titleUserName,text: username || \"\"});\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Invoke the callback\n\t\t\tif(callback) {\n\t\t\t\tcallback(err,isLoggedIn,username);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tcallback(null,true,\"UNAUTHENTICATED\");\n\t}\n};\n\n/*\nSynchronise from the server by reading the skinny tiddler list and queuing up loads for any tiddlers that we don't already have up to date\n*/\nSyncer.prototype.syncFromServer = function() {\n\tvar self = this,\n\t\tcancelNextSync = function() {\n\t\t\tif(self.pollTimerId) {\n\t\t\t\tclearTimeout(self.pollTimerId);\n\t\t\t\tself.pollTimerId = null;\n\t\t\t}\n\t\t},\n\t\ttriggerNextSync = function() {\n\t\t\tself.pollTimerId = setTimeout(function() {\n\t\t\t\tself.pollTimerId = null;\n\t\t\t\tself.syncFromServer.call(self);\n\t\t\t},self.pollTimerInterval);\n\t\t},\n\t\tsyncSystemFromServer = (self.wiki.getTiddlerText(\"$:/config/SyncSystemTiddlersFromServer\") === \"yes\" ? true : false);\n\tif(this.syncadaptor && this.syncadaptor.getUpdatedTiddlers) {\n\t\tthis.logger.log(\"Retrieving updated tiddler list\");\n\t\tcancelNextSync();\n\t\tthis.syncadaptor.getUpdatedTiddlers(self,function(err,updates) {\n\t\t\ttriggerNextSync();\n\t\t\tif(err) {\n\t\t\t\tself.displayError($tw.language.getString(\"Error/RetrievingSkinny\"),err);\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tif(updates) {\n\t\t\t\t$tw.utils.each(updates.modifications,function(title) {\n\t\t\t\t\tself.titlesToBeLoaded[title] = true;\n\t\t\t\t});\n\t\t\t\t$tw.utils.each(updates.deletions,function(title) {\n\t\t\t\t\tif(syncSystemFromServer || !self.wiki.isSystemTiddler(title)) {\n\t\t\t\t\t\tdelete self.tiddlerInfo[title];\n\t\t\t\t\t\tself.logger.log(\"Deleting tiddler missing from server:\",title);\n\t\t\t\t\t\tself.wiki.deleteTiddler(title);\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tif(updates.modifications.length > 0 || updates.deletions.length > 0) {\n\t\t\t\t\tself.processTaskQueue();\n\t\t\t\t}\t\t\t\t\n\t\t\t}\n\t\t});\n\t} else if(this.syncadaptor && this.syncadaptor.getSkinnyTiddlers) {\n\t\tthis.logger.log(\"Retrieving skinny tiddler list\");\n\t\tcancelNextSync();\n\t\tthis.syncadaptor.getSkinnyTiddlers(function(err,tiddlers) {\n\t\t\ttriggerNextSync();\n\t\t\t// Check for errors\n\t\t\tif(err) {\n\t\t\t\tself.displayError($tw.language.getString(\"Error/RetrievingSkinny\"),err);\n\t\t\t\treturn;\n\t\t\t}\n\t\t\t// Keep track of which tiddlers we already know about have been reported this time\n\t\t\tvar previousTitles = Object.keys(self.tiddlerInfo);\n\t\t\t// Process each incoming tiddler\n\t\t\tfor(var t=0; t<tiddlers.length; t++) {\n\t\t\t\t// Get the incoming tiddler fields, and the existing tiddler\n\t\t\t\tvar tiddlerFields = tiddlers[t],\n\t\t\t\t\tincomingRevision = tiddlerFields.revision + \"\",\n\t\t\t\t\ttiddler = self.wiki.tiddlerExists(tiddlerFields.title) && self.wiki.getTiddler(tiddlerFields.title),\n\t\t\t\t\ttiddlerInfo = self.tiddlerInfo[tiddlerFields.title],\n\t\t\t\t\tcurrRevision = tiddlerInfo ? tiddlerInfo.revision : null,\n\t\t\t\t\tindexInPreviousTitles = previousTitles.indexOf(tiddlerFields.title);\n\t\t\t\tif(indexInPreviousTitles !== -1) {\n\t\t\t\t\tpreviousTitles.splice(indexInPreviousTitles,1);\n\t\t\t\t}\n\t\t\t\t// Ignore the incoming tiddler if it's the same as the revision we've already got\n\t\t\t\tif(currRevision !== incomingRevision) {\n\t\t\t\t\t// Only load the skinny version if we don't already have a fat version of the tiddler\n\t\t\t\t\tif(!tiddler || tiddler.fields.text === undefined) {\n\t\t\t\t\t\tself.storeTiddler(tiddlerFields);\n\t\t\t\t\t}\n\t\t\t\t\t// Do a full load of this tiddler\n\t\t\t\t\tself.titlesToBeLoaded[tiddlerFields.title] = true;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Delete any tiddlers that were previously reported but missing this time\n\t\t\t$tw.utils.each(previousTitles,function(title) {\n\t\t\t\tif(syncSystemFromServer || !self.wiki.isSystemTiddler(title)) {\n\t\t\t\t\tdelete self.tiddlerInfo[title];\n\t\t\t\t\tself.logger.log(\"Deleting tiddler missing from server:\",title);\n\t\t\t\t\tself.wiki.deleteTiddler(title);\n\t\t\t\t}\n\t\t\t});\n\t\t\tself.processTaskQueue();\n\t\t});\n\t}\n};\n\n/*\nForce load a tiddler from the server\n*/\nSyncer.prototype.enqueueLoadTiddler = function(title) {\n\tthis.titlesToBeLoaded[title] = true;\n\tthis.processTaskQueue();\n};\n\n/*\nLazily load a skinny tiddler if we can\n*/\nSyncer.prototype.handleLazyLoadEvent = function(title) {\n\t// Ignore if the syncadaptor doesn't handle it\n\tif(!this.syncadaptor.supportsLazyLoading) {\n\t\treturn;\n\t}\n\t// Don't lazy load the same tiddler twice\n\tif(!this.titlesHaveBeenLazyLoaded[title]) {\n\t\t// Don't lazy load if the tiddler isn't included in the sync filter\n\t\tif(this.getSyncedTiddlers().indexOf(title) !== -1) {\n\t\t\t// Mark the tiddler as needing loading, and having already been lazily loaded\n\t\t\tthis.titlesToBeLoaded[title] = true;\n\t\t\tthis.titlesHaveBeenLazyLoaded[title] = true;\n\t\t}\n\t}\n};\n\n/*\nDispay a password prompt and allow the user to login\n*/\nSyncer.prototype.handleLoginEvent = function() {\n\tvar self = this;\n\tthis.getStatus(function(err,isLoggedIn,username) {\n\t\tif(!err && !isLoggedIn) {\n\t\t\tif(self.syncadaptor && self.syncadaptor.displayLoginPrompt) {\n\t\t\t\tself.syncadaptor.displayLoginPrompt(self);\n\t\t\t} else {\n\t\t\t\tself.displayLoginPrompt();\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nDispay a password prompt\n*/\nSyncer.prototype.displayLoginPrompt = function() {\n\tvar self = this;\n\tvar promptInfo = $tw.passwordPrompt.createPrompt({\n\t\tserviceName: $tw.language.getString(\"LoginToTiddlySpace\"),\n\t\tcallback: function(data) {\n\t\t\tself.login(data.username,data.password,function(err,isLoggedIn) {\n\t\t\t\tself.syncFromServer();\n\t\t\t});\n\t\t\treturn true; // Get rid of the password prompt\n\t\t}\n\t});\n};\n\n/*\nAttempt to login to TiddlyWeb.\n\tusername: username\n\tpassword: password\n\tcallback: invoked with arguments (err,isLoggedIn)\n*/\nSyncer.prototype.login = function(username,password,callback) {\n\tthis.logger.log(\"Attempting to login as\",username);\n\tvar self = this;\n\tif(this.syncadaptor.login) {\n\t\tthis.syncadaptor.login(username,password,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tself.getStatus(function(err,isLoggedIn,username) {\n\t\t\t\tif(callback) {\n\t\t\t\t\tcallback(err,isLoggedIn);\n\t\t\t\t}\n\t\t\t});\n\t\t});\n\t} else {\n\t\tcallback(null,true);\n\t}\n};\n\n/*\nAttempt to log out of TiddlyWeb\n*/\nSyncer.prototype.handleLogoutEvent = function() {\n\tthis.logger.log(\"Attempting to logout\");\n\tvar self = this;\n\tif(this.syncadaptor.logout) {\n\t\tthis.syncadaptor.logout(function(err) {\n\t\t\tif(err) {\n\t\t\t\tself.logger.alert(err);\n\t\t\t} else {\n\t\t\t\tself.getStatus();\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nImmediately refresh from the server\n*/\nSyncer.prototype.handleRefreshEvent = function() {\n\tthis.syncFromServer();\n};\n\n/*\nProcess the next task\n*/\nSyncer.prototype.processTaskQueue = function() {\n\tvar self = this;\n\t// Only process a task if the sync adaptor is fully initialised and we're not already performing\n\t// a task. If we are already performing a task then we'll dispatch the next one when it completes\n\tif((!this.syncadaptor.isReady || this.syncadaptor.isReady()) && this.numTasksInProgress === 0) {\n\t\t// Choose the next task to perform\n\t\tvar task = this.chooseNextTask();\n\t\t// Perform the task if we had one\n\t\tif(typeof task === \"object\" && task !== null) {\n\t\t\tthis.numTasksInProgress += 1;\n\t\t\ttask.run(function(err) {\n\t\t\t\tself.numTasksInProgress -= 1;\n\t\t\t\tif(err) {\n\t\t\t\t\tself.displayError(\"Sync error while processing \" + task.type + \" of '\" + task.title + \"'\",err);\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t\tself.triggerTimeout(self.errorRetryInterval);\n\t\t\t\t} else {\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t\t// Process the next task\n\t\t\t\t\tself.processTaskQueue.call(self);\t\t\t\t\t\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\t// No task is ready so update the status\n\t\t\tthis.updateDirtyStatus();\n\t\t\t// And trigger a timeout if there is a pending task\n\t\t\tif(task === true) {\n\t\t\t\tthis.triggerTimeout();\t\t\t\t\n\t\t\t}\n\t\t}\n\t} else {\n\t\tthis.updateDirtyStatus();\t\t\n\t}\n};\n\nSyncer.prototype.triggerTimeout = function(interval) {\n\tvar self = this;\n\tif(!this.taskTimerId) {\n\t\tthis.taskTimerId = setTimeout(function() {\n\t\t\tself.taskTimerId = null;\n\t\t\tself.processTaskQueue.call(self);\n\t\t},interval || self.taskTimerInterval);\n\t}\n};\n\n/*\nChoose the next sync task. We prioritise saves, then deletes, then loads from the server\n\nReturns either a task object, null if there's no upcoming tasks, or the boolean true if there are pending tasks that aren't yet due\n*/\nSyncer.prototype.chooseNextTask = function() {\n\tvar thresholdLastSaved = (new Date()) - this.throttleInterval,\n\t\thavePending = null;\n\t// First we look for tiddlers that have been modified locally and need saving back to the server\n\tvar titles = this.getSyncedTiddlers();\n\tfor(var index=0; index<titles.length; index++) {\n\t\tvar title = titles[index],\n\t\t\ttiddler = this.wiki.tiddlerExists(title) && this.wiki.getTiddler(title),\n\t\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\tif(tiddler) {\n\t\t\t// If the tiddler is not known on the server, or has been modified locally no more recently than the threshold then it needs to be saved to the server\n\t\t\tvar hasChanged = !tiddlerInfo || this.wiki.getChangeCount(title) > tiddlerInfo.changeCount,\n\t\t\t\tisReadyToSave = !tiddlerInfo || !tiddlerInfo.timestampLastSaved || tiddlerInfo.timestampLastSaved < thresholdLastSaved;\n\t\t\tif(hasChanged) {\n\t\t\t\tif(isReadyToSave) {\n\t\t\t\t\treturn new SaveTiddlerTask(this,title); \t\t\t\t\t\n\t\t\t\t} else {\n\t\t\t\t\thavePending = true;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\t// Second, we check tiddlers that are known from the server but not currently in the store, and so need deleting on the server\n\ttitles = Object.keys(this.tiddlerInfo);\n\tfor(index=0; index<titles.length; index++) {\n\t\ttitle = titles[index];\n\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\ttiddler = this.wiki.tiddlerExists(title) && this.wiki.getTiddler(title);\n\t\tif(!tiddler) {\n\t\t\treturn new DeleteTiddlerTask(this,title);\n\t\t}\n\t}\n\t// Check for tiddlers that need loading\n\ttitle = Object.keys(this.titlesToBeLoaded)[0];\n\tif(title) {\n\t\tdelete this.titlesToBeLoaded[title];\n\t\treturn new LoadTiddlerTask(this,title);\n\t}\n\t// No tasks are ready\n\treturn havePending;\n};\n\nfunction SaveTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"save\";\n}\n\nSaveTiddlerTask.prototype.run = function(callback) {\n\tvar self = this,\n\t\tchangeCount = this.syncer.wiki.getChangeCount(this.title),\n\t\ttiddler = this.syncer.wiki.tiddlerExists(this.title) && this.syncer.wiki.getTiddler(this.title);\n\tthis.syncer.logger.log(\"Dispatching 'save' task:\",this.title);\n\tif(tiddler) {\n\t\tthis.syncer.syncadaptor.saveTiddler(tiddler,function(err,adaptorInfo,revision) {\n\t\t\t// If there's an error, exit without changing any internal state\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\t// Adjust the info stored about this tiddler\n\t\t\tself.syncer.tiddlerInfo[self.title] = {\n\t\t\t\tchangeCount: changeCount,\n\t\t\t\tadaptorInfo: adaptorInfo,\n\t\t\t\trevision: revision,\n\t\t\t\ttimestampLastSaved: new Date()\n\t\t\t};\n\t\t\t// Invoke the callback\n\t\t\tcallback(null);\n\t\t},{\n\t\t\ttiddlerInfo: self.syncer.tiddlerInfo[self.title]\n\t\t});\n\t} else {\n\t\tthis.syncer.logger.log(\" Not Dispatching 'save' task:\",this.title,\"tiddler does not exist\");\n\t\t$tw.utils.nextTick(callback(null));\n\t}\n};\n\nfunction DeleteTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"delete\";\n}\n\nDeleteTiddlerTask.prototype.run = function(callback) {\n\tvar self = this;\n\tthis.syncer.logger.log(\"Dispatching 'delete' task:\",this.title);\n\tthis.syncer.syncadaptor.deleteTiddler(this.title,function(err) {\n\t\t// If there's an error, exit without changing any internal state\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\t// Remove the info stored about this tiddler\n\t\tdelete self.syncer.tiddlerInfo[self.title];\n\t\tif($tw.boot.files){\n\t\t\t// Remove the tiddler from $tw.boot.files\n\t\t\tdelete $tw.boot.files[self.title];\n\t\t}\n\t\t// Invoke the callback\n\t\tcallback(null);\n\t},{\n\t\ttiddlerInfo: self.syncer.tiddlerInfo[this.title]\n\t});\n};\n\nfunction LoadTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"load\";\n}\n\nLoadTiddlerTask.prototype.run = function(callback) {\n\tvar self = this;\n\tthis.syncer.logger.log(\"Dispatching 'load' task:\",this.title);\n\tthis.syncer.syncadaptor.loadTiddler(this.title,function(err,tiddlerFields) {\n\t\t// If there's an error, exit without changing any internal state\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\t// Update the info stored about this tiddler\n\t\tif(tiddlerFields) {\n\t\t\tself.syncer.storeTiddler(tiddlerFields);\n\t\t}\n\t\t// Invoke the callback\n\t\tcallback(null);\n\t});\n};\n\nexports.Syncer = Syncer;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/tiddler.js": {
            "title": "$:/core/modules/tiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/tiddler.js\ntype: application/javascript\nmodule-type: tiddlermethod\n\nExtension methods for the $tw.Tiddler object (constructor and methods required at boot time are in boot/boot.js)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.hasTag = function(tag) {\n\treturn this.fields.tags && this.fields.tags.indexOf(tag) !== -1;\n};\n\nexports.isPlugin = function() {\n\treturn this.fields.type === \"application/json\" && this.hasField(\"plugin-type\");\n};\n\nexports.isDraft = function() {\n\treturn this.hasField(\"draft.of\");\n};\n\nexports.getFieldString = function(field) {\n\tvar value = this.fields[field];\n\t// Check for a missing field\n\tif(value === undefined || value === null) {\n\t\treturn \"\";\n\t}\n\t// Parse the field with the associated module (if any)\n\tvar fieldModule = $tw.Tiddler.fieldModules[field];\n\tif(fieldModule && fieldModule.stringify) {\n\t\treturn fieldModule.stringify.call(this,value);\n\t} else {\n\t\treturn value.toString();\n\t}\n};\n\n/*\nGet the value of a field as a list\n*/\nexports.getFieldList = function(field) {\n\tvar value = this.fields[field];\n\t// Check for a missing field\n\tif(value === undefined || value === null) {\n\t\treturn [];\n\t}\n\treturn $tw.utils.parseStringArray(value);\n};\n\n/*\nGet all the fields as a hashmap of strings. Options:\n\texclude: an array of field names to exclude\n*/\nexports.getFieldStrings = function(options) {\n\toptions = options || {};\n\tvar exclude = options.exclude || [];\n\tvar fields = {};\n\tfor(var field in this.fields) {\n\t\tif($tw.utils.hop(this.fields,field)) {\n\t\t\tif(exclude.indexOf(field) === -1) {\n\t\t\t\tfields[field] = this.getFieldString(field);\n\t\t\t}\n\t\t}\n\t}\n\treturn fields;\n};\n\n/*\nGet all the fields as a name:value block. Options:\n\texclude: an array of field names to exclude\n*/\nexports.getFieldStringBlock = function(options) {\n\toptions = options || {};\n\tvar exclude = options.exclude || [],\n\t\tfields = Object.keys(this.fields).sort(),\n\t\tresult = [];\n\tfor(var t=0; t<fields.length; t++) {\n\t\tvar field = fields[t];\n\t\tif(exclude.indexOf(field) === -1) {\n\t\t\tresult.push(field + \": \" + this.getFieldString(field));\n\t\t}\n\t}\n\treturn result.join(\"\\n\");\n};\n\nexports.getFieldDay = function(field) {\n\tif(this.cache && this.cache.day && $tw.utils.hop(this.cache.day,field) ) {\n\t\treturn this.cache.day[field];\n\t}\n\tvar day = \"\";\n\tif(this.fields[field]) {\n\t\tday = (new Date($tw.utils.parseDate(this.fields[field]))).setHours(0,0,0,0);\n\t}\n\tthis.cache.day = this.cache.day || {};\n\tthis.cache.day[field] = day;\n\treturn day;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "tiddlermethod"
        },
        "$:/core/modules/upgraders/plugins.js": {
            "title": "$:/core/modules/upgraders/plugins.js",
            "text": "/*\\\ntitle: $:/core/modules/upgraders/plugins.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that checks that plugins are newer than any already installed version\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar UPGRADE_LIBRARY_TITLE = \"$:/UpgradeLibrary\";\n\nvar BLOCKED_PLUGINS = {\n\t\"$:/themes/tiddlywiki/stickytitles\": {\n\t\tversions: [\"*\"]\n\t},\n\t\"$:/plugins/tiddlywiki/fullscreen\": {\n\t\tversions: [\"*\"]\n\t}\n};\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {},\n\t\tupgradeLibrary,\n\t\tgetLibraryTiddler = function(title) {\n\t\t\tif(!upgradeLibrary) {\n\t\t\t\tupgradeLibrary = wiki.getTiddlerData(UPGRADE_LIBRARY_TITLE,{});\n\t\t\t\tupgradeLibrary.tiddlers = upgradeLibrary.tiddlers || {};\n\t\t\t}\n\t\t\treturn upgradeLibrary.tiddlers[title];\n\t\t};\n\n\t// Go through all the incoming tiddlers\n\t$tw.utils.each(titles,function(title) {\n\t\tvar incomingTiddler = tiddlers[title];\n\t\t// Check if we're dealing with a plugin\n\t\tif(incomingTiddler && incomingTiddler[\"plugin-type\"]) {\n\t\t\t// Check whether the plugin contains JS modules\n\t\t\tvar requiresReload = wiki.doesPluginInfoRequireReload(JSON.parse(incomingTiddler.text)) ? (wiki.getTiddlerText(\"$:/language/ControlPanel/Plugins/PluginWillRequireReload\") + \" \") : \"\";\n\t\t\tmessages[title] = requiresReload;\n\t\t\tif(incomingTiddler.version) {\n\t\t\t\t// Upgrade the incoming plugin if it is in the upgrade library\n\t\t\t\tvar libraryTiddler = getLibraryTiddler(title);\n\t\t\t\tif(libraryTiddler && libraryTiddler[\"plugin-type\"] && libraryTiddler.version) {\n\t\t\t\t\ttiddlers[title] = libraryTiddler;\n\t\t\t\t\tmessages[title] = requiresReload + $tw.language.getString(\"Import/Upgrader/Plugins/Upgraded\",{variables: {incoming: incomingTiddler.version, upgraded: libraryTiddler.version}});\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t\t// Suppress the incoming plugin if it is older than the currently installed one\n\t\t\t\tvar existingTiddler = wiki.getTiddler(title);\n\t\t\t\tif(existingTiddler && existingTiddler.hasField(\"plugin-type\") && existingTiddler.hasField(\"version\")) {\n\t\t\t\t\t// Reject the incoming plugin by blanking all its fields\n\t\t\t\t\tif($tw.utils.checkVersions(existingTiddler.fields.version,incomingTiddler.version)) {\n\t\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/Plugins/Suppressed/Version\",{variables: {incoming: incomingTiddler.version, existing: existingTiddler.fields.version}});\n\t\t\t\t\t\treturn;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Check whether the plugin is on the blocked list\n\t\t\tvar blockInfo = BLOCKED_PLUGINS[title];\n\t\t\tif(blockInfo) {\n\t\t\t\tif(blockInfo.versions.indexOf(\"*\") !== -1 || (incomingTiddler.version && blockInfo.versions.indexOf(incomingTiddler.version) !== -1)) {\n\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/Plugins/Suppressed/Incompatible\");\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "upgrader"
        },
        "$:/core/modules/upgraders/system.js": {
            "title": "$:/core/modules/upgraders/system.js",
            "text": "/*\\\ntitle: $:/core/modules/upgraders/system.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that suppresses certain system tiddlers that shouldn't be imported\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DONT_IMPORT_LIST = [\"$:/StoryList\",\"$:/HistoryList\"],\n\tDONT_IMPORT_PREFIX_LIST = [\"$:/temp/\",\"$:/state/\",\"$:/Import\"],\n\tWARN_IMPORT_PREFIX_LIST = [\"$:/core/modules/\"];\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {},\n\t\tshowAlert = false;\n\t// Check for tiddlers on our list\n\t$tw.utils.each(titles,function(title) {\n\t\tif(DONT_IMPORT_LIST.indexOf(title) !== -1) {\n\t\t\ttiddlers[title] = Object.create(null);\n\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/System/Suppressed\");\n\t\t} else {\n\t\t\tfor(var t=0; t<DONT_IMPORT_PREFIX_LIST.length; t++) {\n\t\t\t\tvar prefix = DONT_IMPORT_PREFIX_LIST[t];\n\t\t\t\tif(title.substr(0,prefix.length) === prefix) {\n\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/State/Suppressed\");\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor(var t=0; t<WARN_IMPORT_PREFIX_LIST.length; t++) {\n\t\t\t\tvar prefix = WARN_IMPORT_PREFIX_LIST[t];\n\t\t\t\tif(title.substr(0,prefix.length) === prefix && wiki.isShadowTiddler(title)) {\n\t\t\t\t\tshowAlert = true;\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/System/Warning\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\tif(showAlert) {\n\t\tvar logger = new $tw.utils.Logger(\"import\");\n\t\tlogger.alert($tw.language.getString(\"Import/Upgrader/System/Alert\"));\n\t}\n\treturn messages;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "upgrader"
        },
        "$:/core/modules/upgraders/themetweaks.js": {
            "title": "$:/core/modules/upgraders/themetweaks.js",
            "text": "/*\\\ntitle: $:/core/modules/upgraders/themetweaks.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that handles the change in theme tweak storage introduced in 5.0.14-beta.\n\nPreviously, theme tweaks were stored in two data tiddlers:\n\n* $:/themes/tiddlywiki/vanilla/metrics\n* $:/themes/tiddlywiki/vanilla/settings\n\nNow, each tweak is stored in its own separate tiddler.\n\nThis upgrader copies any values from the old format to the new. The old data tiddlers are not deleted in case they have been used to store additional indexes.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar MAPPINGS = {\n\t\"$:/themes/tiddlywiki/vanilla/metrics\": {\n\t\t\"fontsize\": \"$:/themes/tiddlywiki/vanilla/metrics/fontsize\",\n\t\t\"lineheight\": \"$:/themes/tiddlywiki/vanilla/metrics/lineheight\",\n\t\t\"storyleft\": \"$:/themes/tiddlywiki/vanilla/metrics/storyleft\",\n\t\t\"storytop\": \"$:/themes/tiddlywiki/vanilla/metrics/storytop\",\n\t\t\"storyright\": \"$:/themes/tiddlywiki/vanilla/metrics/storyright\",\n\t\t\"storywidth\": \"$:/themes/tiddlywiki/vanilla/metrics/storywidth\",\n\t\t\"tiddlerwidth\": \"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\"\n\t},\n\t\"$:/themes/tiddlywiki/vanilla/settings\": {\n\t\t\"fontfamily\": \"$:/themes/tiddlywiki/vanilla/settings/fontfamily\"\n\t}\n};\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {};\n\t// Check for tiddlers on our list\n\t$tw.utils.each(titles,function(title) {\n\t\tvar mapping = MAPPINGS[title];\n\t\tif(mapping) {\n\t\t\tvar tiddler = new $tw.Tiddler(tiddlers[title]),\n\t\t\t\ttiddlerData = wiki.getTiddlerDataCached(tiddler,{});\n\t\t\tfor(var index in mapping) {\n\t\t\t\tvar mappedTitle = mapping[index];\n\t\t\t\tif(!tiddlers[mappedTitle] || tiddlers[mappedTitle].title !== mappedTitle) {\n\t\t\t\t\ttiddlers[mappedTitle] = {\n\t\t\t\t\t\ttitle: mappedTitle,\n\t\t\t\t\t\ttext: tiddlerData[index]\n\t\t\t\t\t};\n\t\t\t\t\tmessages[mappedTitle] = $tw.language.getString(\"Import/Upgrader/ThemeTweaks/Created\",{variables: {\n\t\t\t\t\t\tfrom: title + \"##\" + index\n\t\t\t\t\t}});\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "upgrader"
        },
        "$:/core/modules/utils/base64-utf8/base64-utf8.module.js": {
            "text": "(function(){// From https://gist.github.com/Nijikokun/5192472\n//\n// UTF8 Module\n//\n// Cleaner and modularized utf-8 encoding and decoding library for javascript.\n//\n// copyright: MIT\n// author: Nijiko Yonskai, @nijikokun, nijikokun@gmail.com\n!function(r,e,o,t){void 0!==o.module&&o.module.exports?o.module.exports=e.apply(o):void 0!==o.define&&\"function\"===o.define&&o.define.amd?define(\"utf8\",[],e):o.utf8=e.apply(o)}(0,function(){return{encode:function(r){if(\"string\"!=typeof r)return r;r=r.replace(/\\r\\n/g,\"\\n\");for(var e,o=\"\",t=0;t<r.length;t++)if((e=r.charCodeAt(t))<128)o+=String.fromCharCode(e);else if(e>127&&e<2048)o+=String.fromCharCode(e>>6|192),o+=String.fromCharCode(63&e|128);else if(e>55295&&e<57344&&r.length>t+1){var i=e,n=r.charCodeAt(t+1);t++;var d=65536+(i-55296<<10|n-56320);o+=String.fromCharCode(d>>18|240),o+=String.fromCharCode(d>>12&63|128),o+=String.fromCharCode(d>>6&63|128),o+=String.fromCharCode(63&d|128)}else o+=String.fromCharCode(e>>12|224),o+=String.fromCharCode(e>>6&63|128),o+=String.fromCharCode(63&e|128);return o},decode:function(r){if(\"string\"!=typeof r)return r;for(var e=\"\",o=0,t=0;o<r.length;)if((t=r.charCodeAt(o))<128)e+=String.fromCharCode(t),o++;else if(t>191&&t<224)e+=String.fromCharCode((31&t)<<6|63&r.charCodeAt(o+1)),o+=2;else if(t>223&&t<240)e+=String.fromCharCode((15&t)<<12|(63&r.charCodeAt(o+1))<<6|63&r.charCodeAt(o+2)),o+=3;else{var i=(7&t)<<18|(63&r.charCodeAt(o+1))<<12|(63&r.charCodeAt(o+2))<<6|63&r.charCodeAt(o+3);e+=String.fromCharCode(55296+(i-65536>>10))+String.fromCharCode(56320+(i-65536&1023)),o+=4}return e}}},this),function(r,e,o,t){if(void 0!==o.module&&o.module.exports){if(t&&o.require)for(var i=0;i<t.length;i++)o[t[i]]=o.require(t[i]);o.module.exports=e.apply(o)}else void 0!==o.define&&\"function\"===o.define&&o.define.amd?define(\"base64\",t||[],e):o.base64=e.apply(o)}(0,function(r){var e=r||this.utf8,o=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=\";return{encode:function(r){if(void 0===e)throw{error:\"MissingMethod\",message:\"UTF8 Module is missing.\"};if(\"string\"!=typeof r)return r;r=e.encode(r);for(var t,i,n,d,f,a,h,C=\"\",c=0;c<r.length;)d=(t=r.charCodeAt(c++))>>2,f=(3&t)<<4|(i=r.charCodeAt(c++))>>4,a=(15&i)<<2|(n=r.charCodeAt(c++))>>6,h=63&n,isNaN(i)?a=h=64:isNaN(n)&&(h=64),C+=o.charAt(d)+o.charAt(f)+o.charAt(a)+o.charAt(h);return C},decode:function(r){if(void 0===e)throw{error:\"MissingMethod\",message:\"UTF8 Module is missing.\"};if(\"string\"!=typeof r)return r;r=r.replace(/[^A-Za-z0-9\\+\\/\\=]/g,\"\");for(var t,i,n,d,f,a,h=\"\",C=0;C<r.length;)t=o.indexOf(r.charAt(C++))<<2|(d=o.indexOf(r.charAt(C++)))>>4,i=(15&d)<<4|(f=o.indexOf(r.charAt(C++)))>>2,n=(3&f)<<6|(a=o.indexOf(r.charAt(C++))),h+=String.fromCharCode(t),64!=f&&(h+=String.fromCharCode(i)),64!=a&&(h+=String.fromCharCode(n));return e.decode(h)}}},this,[\"utf8\"]);}).call(exports);",
            "type": "application/javascript",
            "title": "$:/core/modules/utils/base64-utf8/base64-utf8.module.js",
            "module-type": "library"
        },
        "$:/core/modules/utils/crypto.js": {
            "title": "$:/core/modules/utils/crypto.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/crypto.js\ntype: application/javascript\nmodule-type: utils\n\nUtility functions related to crypto.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nLook for an encrypted store area in the text of a TiddlyWiki file\n*/\nexports.extractEncryptedStoreArea = function(text) {\n\tvar encryptedStoreAreaStartMarker = \"<pre id=\\\"encryptedStoreArea\\\" type=\\\"text/plain\\\" style=\\\"display:none;\\\">\",\n\t\tencryptedStoreAreaStart = text.indexOf(encryptedStoreAreaStartMarker);\n\tif(encryptedStoreAreaStart !== -1) {\n\t\tvar encryptedStoreAreaEnd = text.indexOf(\"</pre>\",encryptedStoreAreaStart);\n\t\tif(encryptedStoreAreaEnd !== -1) {\n\t\t\treturn $tw.utils.htmlDecode(text.substring(encryptedStoreAreaStart + encryptedStoreAreaStartMarker.length,encryptedStoreAreaEnd-1));\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nAttempt to extract the tiddlers from an encrypted store area using the current password. If the password is not provided then the password in the password store will be used\n*/\nexports.decryptStoreArea = function(encryptedStoreArea,password) {\n\tvar decryptedText = $tw.crypto.decrypt(encryptedStoreArea,password);\n\tif(decryptedText) {\n\t\tvar json = JSON.parse(decryptedText),\n\t\t\ttiddlers = [];\n\t\tfor(var title in json) {\n\t\t\tif(title !== \"$:/isEncrypted\") {\n\t\t\t\ttiddlers.push(json[title]);\n\t\t\t}\n\t\t}\n\t\treturn tiddlers;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n\n/*\nAttempt to extract the tiddlers from an encrypted store area using the current password. If that fails, the user is prompted for a password.\nencryptedStoreArea: text of the TiddlyWiki encrypted store area\ncallback: function(tiddlers) called with the array of decrypted tiddlers\n\nThe following configuration settings are supported:\n\n$tw.config.usePasswordVault: causes any password entered by the user to also be put into the system password vault\n*/\nexports.decryptStoreAreaInteractive = function(encryptedStoreArea,callback,options) {\n\t// Try to decrypt with the current password\n\tvar tiddlers = $tw.utils.decryptStoreArea(encryptedStoreArea);\n\tif(tiddlers) {\n\t\tcallback(tiddlers);\n\t} else {\n\t\t// Prompt for a new password and keep trying\n\t\t$tw.passwordPrompt.createPrompt({\n\t\t\tserviceName: \"Enter a password to decrypt the imported TiddlyWiki\",\n\t\t\tnoUserName: true,\n\t\t\tcanCancel: true,\n\t\t\tsubmitText: \"Decrypt\",\n\t\t\tcallback: function(data) {\n\t\t\t\t// Exit if the user cancelled\n\t\t\t\tif(!data) {\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t\t// Attempt to decrypt the tiddlers\n\t\t\t\tvar tiddlers = $tw.utils.decryptStoreArea(encryptedStoreArea,data.password);\n\t\t\t\tif(tiddlers) {\n\t\t\t\t\tif($tw.config.usePasswordVault) {\n\t\t\t\t\t\t$tw.crypto.setPassword(data.password);\n\t\t\t\t\t}\n\t\t\t\t\tcallback(tiddlers);\n\t\t\t\t\t// Exit and remove the password prompt\n\t\t\t\t\treturn true;\n\t\t\t\t} else {\n\t\t\t\t\t// We didn't decrypt everything, so continue to prompt for password\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/csv.js": {
            "title": "$:/core/modules/utils/csv.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/csv.js\ntype: application/javascript\nmodule-type: utils\n\nA barebones CSV parser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParse a CSV string with a header row and return an array of hashmaps.\n*/\nexports.parseCsvStringWithHeader = function(text,options) {\n\toptions = options || {};\n\tvar separator = options.separator || \",\",\n\t\trows = text.split(/\\r?\\n/mg).map(function(row) {\n\t\t\treturn $tw.utils.trim(row);\n\t\t}).filter(function(row) {\n\t\t\treturn row !== \"\";\n\t\t});\n\tif(rows.length < 1) {\n\t\treturn \"Missing header row\";\n\t}\n\tvar headings = rows[0].split(separator),\n\t\tresults = [];\n\tfor(var row=1; row<rows.length; row++) {\n\t\tvar columns = rows[row].split(separator),\n\t\t\tcolumnResult = Object.create(null);\n\t\tif(columns.length !== headings.length) {\n\t\t\treturn \"Malformed CSV row '\" + rows[row] + \"'\";\n\t\t}\n\t\tfor(var column=0; column<columns.length; column++) {\n\t\t\tvar columnName = headings[column];\n\t\t\tcolumnResult[columnName] = $tw.utils.trim(columns[column] || \"\");\n\t\t}\n\t\tresults.push(columnResult);\t\t\t\n\t}\n\treturn results;\n}\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/diff-match-patch/diff_match_patch.js": {
            "text": "(function(){function diff_match_patch(){this.Diff_Timeout=1;this.Diff_EditCost=4;this.Match_Threshold=.5;this.Match_Distance=1E3;this.Patch_DeleteThreshold=.5;this.Patch_Margin=4;this.Match_MaxBits=32}var DIFF_DELETE=-1,DIFF_INSERT=1,DIFF_EQUAL=0;\ndiff_match_patch.prototype.diff_main=function(a,b,c,d){\"undefined\"==typeof d&&(d=0>=this.Diff_Timeout?Number.MAX_VALUE:(new Date).getTime()+1E3*this.Diff_Timeout);if(null==a||null==b)throw Error(\"Null input. (diff_main)\");if(a==b)return a?[[DIFF_EQUAL,a]]:[];\"undefined\"==typeof c&&(c=!0);var e=c,f=this.diff_commonPrefix(a,b);c=a.substring(0,f);a=a.substring(f);b=b.substring(f);f=this.diff_commonSuffix(a,b);var g=a.substring(a.length-f);a=a.substring(0,a.length-f);b=b.substring(0,b.length-f);a=this.diff_compute_(a,\nb,e,d);c&&a.unshift([DIFF_EQUAL,c]);g&&a.push([DIFF_EQUAL,g]);this.diff_cleanupMerge(a);return a};\ndiff_match_patch.prototype.diff_compute_=function(a,b,c,d){if(!a)return[[DIFF_INSERT,b]];if(!b)return[[DIFF_DELETE,a]];var e=a.length>b.length?a:b,f=a.length>b.length?b:a,g=e.indexOf(f);return-1!=g?(c=[[DIFF_INSERT,e.substring(0,g)],[DIFF_EQUAL,f],[DIFF_INSERT,e.substring(g+f.length)]],a.length>b.length&&(c[0][0]=c[2][0]=DIFF_DELETE),c):1==f.length?[[DIFF_DELETE,a],[DIFF_INSERT,b]]:(e=this.diff_halfMatch_(a,b))?(b=e[1],f=e[3],a=e[4],e=this.diff_main(e[0],e[2],c,d),c=this.diff_main(b,f,c,d),e.concat([[DIFF_EQUAL,\na]],c)):c&&100<a.length&&100<b.length?this.diff_lineMode_(a,b,d):this.diff_bisect_(a,b,d)};\ndiff_match_patch.prototype.diff_lineMode_=function(a,b,c){var d=this.diff_linesToChars_(a,b);a=d.chars1;b=d.chars2;d=d.lineArray;a=this.diff_main(a,b,!1,c);this.diff_charsToLines_(a,d);this.diff_cleanupSemantic(a);a.push([DIFF_EQUAL,\"\"]);for(var e=d=b=0,f=\"\",g=\"\";b<a.length;){switch(a[b][0]){case DIFF_INSERT:e++;g+=a[b][1];break;case DIFF_DELETE:d++;f+=a[b][1];break;case DIFF_EQUAL:if(1<=d&&1<=e){a.splice(b-d-e,d+e);b=b-d-e;d=this.diff_main(f,g,!1,c);for(e=d.length-1;0<=e;e--)a.splice(b,0,d[e]);b+=\nd.length}d=e=0;g=f=\"\"}b++}a.pop();return a};\ndiff_match_patch.prototype.diff_bisect_=function(a,b,c){for(var d=a.length,e=b.length,f=Math.ceil((d+e)/2),g=2*f,h=Array(g),l=Array(g),k=0;k<g;k++)h[k]=-1,l[k]=-1;h[f+1]=0;l[f+1]=0;k=d-e;for(var m=0!=k%2,p=0,x=0,w=0,q=0,t=0;t<f&&!((new Date).getTime()>c);t++){for(var v=-t+p;v<=t-x;v+=2){var n=f+v;var r=v==-t||v!=t&&h[n-1]<h[n+1]?h[n+1]:h[n-1]+1;for(var y=r-v;r<d&&y<e&&a.charAt(r)==b.charAt(y);)r++,y++;h[n]=r;if(r>d)x+=2;else if(y>e)p+=2;else if(m&&(n=f+k-v,0<=n&&n<g&&-1!=l[n])){var u=d-l[n];if(r>=\nu)return this.diff_bisectSplit_(a,b,r,y,c)}}for(v=-t+w;v<=t-q;v+=2){n=f+v;u=v==-t||v!=t&&l[n-1]<l[n+1]?l[n+1]:l[n-1]+1;for(r=u-v;u<d&&r<e&&a.charAt(d-u-1)==b.charAt(e-r-1);)u++,r++;l[n]=u;if(u>d)q+=2;else if(r>e)w+=2;else if(!m&&(n=f+k-v,0<=n&&n<g&&-1!=h[n]&&(r=h[n],y=f+r-n,u=d-u,r>=u)))return this.diff_bisectSplit_(a,b,r,y,c)}}return[[DIFF_DELETE,a],[DIFF_INSERT,b]]};\ndiff_match_patch.prototype.diff_bisectSplit_=function(a,b,c,d,e){var f=a.substring(0,c),g=b.substring(0,d);a=a.substring(c);b=b.substring(d);f=this.diff_main(f,g,!1,e);e=this.diff_main(a,b,!1,e);return f.concat(e)};\ndiff_match_patch.prototype.diff_linesToChars_=function(a,b){function c(a){for(var b=\"\",c=0,f=-1,g=d.length;f<a.length-1;){f=a.indexOf(\"\\n\",c);-1==f&&(f=a.length-1);var h=a.substring(c,f+1);c=f+1;(e.hasOwnProperty?e.hasOwnProperty(h):void 0!==e[h])?b+=String.fromCharCode(e[h]):(b+=String.fromCharCode(g),e[h]=g,d[g++]=h)}return b}var d=[],e={};d[0]=\"\";var f=c(a),g=c(b);return{chars1:f,chars2:g,lineArray:d}};\ndiff_match_patch.prototype.diff_charsToLines_=function(a,b){for(var c=0;c<a.length;c++){for(var d=a[c][1],e=[],f=0;f<d.length;f++)e[f]=b[d.charCodeAt(f)];a[c][1]=e.join(\"\")}};diff_match_patch.prototype.diff_commonPrefix=function(a,b){if(!a||!b||a.charAt(0)!=b.charAt(0))return 0;for(var c=0,d=Math.min(a.length,b.length),e=d,f=0;c<e;)a.substring(f,e)==b.substring(f,e)?f=c=e:d=e,e=Math.floor((d-c)/2+c);return e};\ndiff_match_patch.prototype.diff_commonSuffix=function(a,b){if(!a||!b||a.charAt(a.length-1)!=b.charAt(b.length-1))return 0;for(var c=0,d=Math.min(a.length,b.length),e=d,f=0;c<e;)a.substring(a.length-e,a.length-f)==b.substring(b.length-e,b.length-f)?f=c=e:d=e,e=Math.floor((d-c)/2+c);return e};\ndiff_match_patch.prototype.diff_commonOverlap_=function(a,b){var c=a.length,d=b.length;if(0==c||0==d)return 0;c>d?a=a.substring(c-d):c<d&&(b=b.substring(0,c));c=Math.min(c,d);if(a==b)return c;d=0;for(var e=1;;){var f=a.substring(c-e);f=b.indexOf(f);if(-1==f)return d;e+=f;if(0==f||a.substring(c-e)==b.substring(0,e))d=e,e++}};\ndiff_match_patch.prototype.diff_halfMatch_=function(a,b){function c(a,b,c){for(var d=a.substring(c,c+Math.floor(a.length/4)),e=-1,g=\"\",h,k,l,m;-1!=(e=b.indexOf(d,e+1));){var p=f.diff_commonPrefix(a.substring(c),b.substring(e)),u=f.diff_commonSuffix(a.substring(0,c),b.substring(0,e));g.length<u+p&&(g=b.substring(e-u,e)+b.substring(e,e+p),h=a.substring(0,c-u),k=a.substring(c+p),l=b.substring(0,e-u),m=b.substring(e+p))}return 2*g.length>=a.length?[h,k,l,m,g]:null}if(0>=this.Diff_Timeout)return null;\nvar d=a.length>b.length?a:b,e=a.length>b.length?b:a;if(4>d.length||2*e.length<d.length)return null;var f=this,g=c(d,e,Math.ceil(d.length/4));d=c(d,e,Math.ceil(d.length/2));if(g||d)g=d?g?g[4].length>d[4].length?g:d:d:g;else return null;if(a.length>b.length){d=g[0];e=g[1];var h=g[2];var l=g[3]}else h=g[0],l=g[1],d=g[2],e=g[3];return[d,e,h,l,g[4]]};\ndiff_match_patch.prototype.diff_cleanupSemantic=function(a){for(var b=!1,c=[],d=0,e=null,f=0,g=0,h=0,l=0,k=0;f<a.length;)a[f][0]==DIFF_EQUAL?(c[d++]=f,g=l,h=k,k=l=0,e=a[f][1]):(a[f][0]==DIFF_INSERT?l+=a[f][1].length:k+=a[f][1].length,e&&e.length<=Math.max(g,h)&&e.length<=Math.max(l,k)&&(a.splice(c[d-1],0,[DIFF_DELETE,e]),a[c[d-1]+1][0]=DIFF_INSERT,d--,d--,f=0<d?c[d-1]:-1,k=l=h=g=0,e=null,b=!0)),f++;b&&this.diff_cleanupMerge(a);this.diff_cleanupSemanticLossless(a);for(f=1;f<a.length;){if(a[f-1][0]==\nDIFF_DELETE&&a[f][0]==DIFF_INSERT){b=a[f-1][1];c=a[f][1];d=this.diff_commonOverlap_(b,c);e=this.diff_commonOverlap_(c,b);if(d>=e){if(d>=b.length/2||d>=c.length/2)a.splice(f,0,[DIFF_EQUAL,c.substring(0,d)]),a[f-1][1]=b.substring(0,b.length-d),a[f+1][1]=c.substring(d),f++}else if(e>=b.length/2||e>=c.length/2)a.splice(f,0,[DIFF_EQUAL,b.substring(0,e)]),a[f-1][0]=DIFF_INSERT,a[f-1][1]=c.substring(0,c.length-e),a[f+1][0]=DIFF_DELETE,a[f+1][1]=b.substring(e),f++;f++}f++}};\ndiff_match_patch.prototype.diff_cleanupSemanticLossless=function(a){function b(a,b){if(!a||!b)return 6;var c=a.charAt(a.length-1),d=b.charAt(0),e=c.match(diff_match_patch.nonAlphaNumericRegex_),f=d.match(diff_match_patch.nonAlphaNumericRegex_),g=e&&c.match(diff_match_patch.whitespaceRegex_),h=f&&d.match(diff_match_patch.whitespaceRegex_);c=g&&c.match(diff_match_patch.linebreakRegex_);d=h&&d.match(diff_match_patch.linebreakRegex_);var k=c&&a.match(diff_match_patch.blanklineEndRegex_),l=d&&b.match(diff_match_patch.blanklineStartRegex_);\nreturn k||l?5:c||d?4:e&&!g&&h?3:g||h?2:e||f?1:0}for(var c=1;c<a.length-1;){if(a[c-1][0]==DIFF_EQUAL&&a[c+1][0]==DIFF_EQUAL){var d=a[c-1][1],e=a[c][1],f=a[c+1][1],g=this.diff_commonSuffix(d,e);if(g){var h=e.substring(e.length-g);d=d.substring(0,d.length-g);e=h+e.substring(0,e.length-g);f=h+f}g=d;h=e;for(var l=f,k=b(d,e)+b(e,f);e.charAt(0)===f.charAt(0);){d+=e.charAt(0);e=e.substring(1)+f.charAt(0);f=f.substring(1);var m=b(d,e)+b(e,f);m>=k&&(k=m,g=d,h=e,l=f)}a[c-1][1]!=g&&(g?a[c-1][1]=g:(a.splice(c-\n1,1),c--),a[c][1]=h,l?a[c+1][1]=l:(a.splice(c+1,1),c--))}c++}};diff_match_patch.nonAlphaNumericRegex_=/[^a-zA-Z0-9]/;diff_match_patch.whitespaceRegex_=/\\s/;diff_match_patch.linebreakRegex_=/[\\r\\n]/;diff_match_patch.blanklineEndRegex_=/\\n\\r?\\n$/;diff_match_patch.blanklineStartRegex_=/^\\r?\\n\\r?\\n/;\ndiff_match_patch.prototype.diff_cleanupEfficiency=function(a){for(var b=!1,c=[],d=0,e=null,f=0,g=!1,h=!1,l=!1,k=!1;f<a.length;)a[f][0]==DIFF_EQUAL?(a[f][1].length<this.Diff_EditCost&&(l||k)?(c[d++]=f,g=l,h=k,e=a[f][1]):(d=0,e=null),l=k=!1):(a[f][0]==DIFF_DELETE?k=!0:l=!0,e&&(g&&h&&l&&k||e.length<this.Diff_EditCost/2&&3==g+h+l+k)&&(a.splice(c[d-1],0,[DIFF_DELETE,e]),a[c[d-1]+1][0]=DIFF_INSERT,d--,e=null,g&&h?(l=k=!0,d=0):(d--,f=0<d?c[d-1]:-1,l=k=!1),b=!0)),f++;b&&this.diff_cleanupMerge(a)};\ndiff_match_patch.prototype.diff_cleanupMerge=function(a){a.push([DIFF_EQUAL,\"\"]);for(var b=0,c=0,d=0,e=\"\",f=\"\",g;b<a.length;)switch(a[b][0]){case DIFF_INSERT:d++;f+=a[b][1];b++;break;case DIFF_DELETE:c++;e+=a[b][1];b++;break;case DIFF_EQUAL:1<c+d?(0!==c&&0!==d&&(g=this.diff_commonPrefix(f,e),0!==g&&(0<b-c-d&&a[b-c-d-1][0]==DIFF_EQUAL?a[b-c-d-1][1]+=f.substring(0,g):(a.splice(0,0,[DIFF_EQUAL,f.substring(0,g)]),b++),f=f.substring(g),e=e.substring(g)),g=this.diff_commonSuffix(f,e),0!==g&&(a[b][1]=f.substring(f.length-\ng)+a[b][1],f=f.substring(0,f.length-g),e=e.substring(0,e.length-g))),0===c?a.splice(b-d,c+d,[DIFF_INSERT,f]):0===d?a.splice(b-c,c+d,[DIFF_DELETE,e]):a.splice(b-c-d,c+d,[DIFF_DELETE,e],[DIFF_INSERT,f]),b=b-c-d+(c?1:0)+(d?1:0)+1):0!==b&&a[b-1][0]==DIFF_EQUAL?(a[b-1][1]+=a[b][1],a.splice(b,1)):b++,c=d=0,f=e=\"\"}\"\"===a[a.length-1][1]&&a.pop();c=!1;for(b=1;b<a.length-1;)a[b-1][0]==DIFF_EQUAL&&a[b+1][0]==DIFF_EQUAL&&(a[b][1].substring(a[b][1].length-a[b-1][1].length)==a[b-1][1]?(a[b][1]=a[b-1][1]+a[b][1].substring(0,\na[b][1].length-a[b-1][1].length),a[b+1][1]=a[b-1][1]+a[b+1][1],a.splice(b-1,1),c=!0):a[b][1].substring(0,a[b+1][1].length)==a[b+1][1]&&(a[b-1][1]+=a[b+1][1],a[b][1]=a[b][1].substring(a[b+1][1].length)+a[b+1][1],a.splice(b+1,1),c=!0)),b++;c&&this.diff_cleanupMerge(a)};\ndiff_match_patch.prototype.diff_xIndex=function(a,b){var c=0,d=0,e=0,f=0,g;for(g=0;g<a.length;g++){a[g][0]!==DIFF_INSERT&&(c+=a[g][1].length);a[g][0]!==DIFF_DELETE&&(d+=a[g][1].length);if(c>b)break;e=c;f=d}return a.length!=g&&a[g][0]===DIFF_DELETE?f:f+(b-e)};\ndiff_match_patch.prototype.diff_prettyHtml=function(a){for(var b=[],c=/&/g,d=/</g,e=/>/g,f=/\\n/g,g=0;g<a.length;g++){var h=a[g][0],l=a[g][1].replace(c,\"&amp;\").replace(d,\"&lt;\").replace(e,\"&gt;\").replace(f,\"&para;<br>\");switch(h){case DIFF_INSERT:b[g]='<ins style=\"background:#e6ffe6;\">'+l+\"</ins>\";break;case DIFF_DELETE:b[g]='<del style=\"background:#ffe6e6;\">'+l+\"</del>\";break;case DIFF_EQUAL:b[g]=\"<span>\"+l+\"</span>\"}}return b.join(\"\")};\ndiff_match_patch.prototype.diff_text1=function(a){for(var b=[],c=0;c<a.length;c++)a[c][0]!==DIFF_INSERT&&(b[c]=a[c][1]);return b.join(\"\")};diff_match_patch.prototype.diff_text2=function(a){for(var b=[],c=0;c<a.length;c++)a[c][0]!==DIFF_DELETE&&(b[c]=a[c][1]);return b.join(\"\")};\ndiff_match_patch.prototype.diff_levenshtein=function(a){for(var b=0,c=0,d=0,e=0;e<a.length;e++){var f=a[e][1];switch(a[e][0]){case DIFF_INSERT:c+=f.length;break;case DIFF_DELETE:d+=f.length;break;case DIFF_EQUAL:b+=Math.max(c,d),d=c=0}}return b+=Math.max(c,d)};\ndiff_match_patch.prototype.diff_toDelta=function(a){for(var b=[],c=0;c<a.length;c++)switch(a[c][0]){case DIFF_INSERT:b[c]=\"+\"+encodeURI(a[c][1]);break;case DIFF_DELETE:b[c]=\"-\"+a[c][1].length;break;case DIFF_EQUAL:b[c]=\"=\"+a[c][1].length}return b.join(\"\\t\").replace(/%20/g,\" \")};\ndiff_match_patch.prototype.diff_fromDelta=function(a,b){for(var c=[],d=0,e=0,f=b.split(/\\t/g),g=0;g<f.length;g++){var h=f[g].substring(1);switch(f[g].charAt(0)){case \"+\":try{c[d++]=[DIFF_INSERT,decodeURI(h)]}catch(k){throw Error(\"Illegal escape in diff_fromDelta: \"+h);}break;case \"-\":case \"=\":var l=parseInt(h,10);if(isNaN(l)||0>l)throw Error(\"Invalid number in diff_fromDelta: \"+h);h=a.substring(e,e+=l);\"=\"==f[g].charAt(0)?c[d++]=[DIFF_EQUAL,h]:c[d++]=[DIFF_DELETE,h];break;default:if(f[g])throw Error(\"Invalid diff operation in diff_fromDelta: \"+\nf[g]);}}if(e!=a.length)throw Error(\"Delta length (\"+e+\") does not equal source text length (\"+a.length+\").\");return c};diff_match_patch.prototype.match_main=function(a,b,c){if(null==a||null==b||null==c)throw Error(\"Null input. (match_main)\");c=Math.max(0,Math.min(c,a.length));return a==b?0:a.length?a.substring(c,c+b.length)==b?c:this.match_bitap_(a,b,c):-1};\ndiff_match_patch.prototype.match_bitap_=function(a,b,c){function d(a,d){var e=a/b.length,g=Math.abs(c-d);return f.Match_Distance?e+g/f.Match_Distance:g?1:e}if(b.length>this.Match_MaxBits)throw Error(\"Pattern too long for this browser.\");var e=this.match_alphabet_(b),f=this,g=this.Match_Threshold,h=a.indexOf(b,c);-1!=h&&(g=Math.min(d(0,h),g),h=a.lastIndexOf(b,c+b.length),-1!=h&&(g=Math.min(d(0,h),g)));var l=1<<b.length-1;h=-1;for(var k,m,p=b.length+a.length,x,w=0;w<b.length;w++){k=0;for(m=p;k<m;)d(w,\nc+m)<=g?k=m:p=m,m=Math.floor((p-k)/2+k);p=m;k=Math.max(1,c-m+1);var q=Math.min(c+m,a.length)+b.length;m=Array(q+2);for(m[q+1]=(1<<w)-1;q>=k;q--){var t=e[a.charAt(q-1)];m[q]=0===w?(m[q+1]<<1|1)&t:(m[q+1]<<1|1)&t|(x[q+1]|x[q])<<1|1|x[q+1];if(m[q]&l&&(t=d(w,q-1),t<=g))if(g=t,h=q-1,h>c)k=Math.max(1,2*c-h);else break}if(d(w+1,c)>g)break;x=m}return h};\ndiff_match_patch.prototype.match_alphabet_=function(a){for(var b={},c=0;c<a.length;c++)b[a.charAt(c)]=0;for(c=0;c<a.length;c++)b[a.charAt(c)]|=1<<a.length-c-1;return b};\ndiff_match_patch.prototype.patch_addContext_=function(a,b){if(0!=b.length){for(var c=b.substring(a.start2,a.start2+a.length1),d=0;b.indexOf(c)!=b.lastIndexOf(c)&&c.length<this.Match_MaxBits-this.Patch_Margin-this.Patch_Margin;)d+=this.Patch_Margin,c=b.substring(a.start2-d,a.start2+a.length1+d);d+=this.Patch_Margin;(c=b.substring(a.start2-d,a.start2))&&a.diffs.unshift([DIFF_EQUAL,c]);(d=b.substring(a.start2+a.length1,a.start2+a.length1+d))&&a.diffs.push([DIFF_EQUAL,d]);a.start1-=c.length;a.start2-=\nc.length;a.length1+=c.length+d.length;a.length2+=c.length+d.length}};\ndiff_match_patch.prototype.patch_make=function(a,b,c){if(\"string\"==typeof a&&\"string\"==typeof b&&\"undefined\"==typeof c){var d=a;b=this.diff_main(d,b,!0);2<b.length&&(this.diff_cleanupSemantic(b),this.diff_cleanupEfficiency(b))}else if(a&&\"object\"==typeof a&&\"undefined\"==typeof b&&\"undefined\"==typeof c)b=a,d=this.diff_text1(b);else if(\"string\"==typeof a&&b&&\"object\"==typeof b&&\"undefined\"==typeof c)d=a;else if(\"string\"==typeof a&&\"string\"==typeof b&&c&&\"object\"==typeof c)d=a,b=c;else throw Error(\"Unknown call format to patch_make.\");\nif(0===b.length)return[];c=[];a=new diff_match_patch.patch_obj;for(var e=0,f=0,g=0,h=d,l=0;l<b.length;l++){var k=b[l][0],m=b[l][1];e||k===DIFF_EQUAL||(a.start1=f,a.start2=g);switch(k){case DIFF_INSERT:a.diffs[e++]=b[l];a.length2+=m.length;d=d.substring(0,g)+m+d.substring(g);break;case DIFF_DELETE:a.length1+=m.length;a.diffs[e++]=b[l];d=d.substring(0,g)+d.substring(g+m.length);break;case DIFF_EQUAL:m.length<=2*this.Patch_Margin&&e&&b.length!=l+1?(a.diffs[e++]=b[l],a.length1+=m.length,a.length2+=m.length):\nm.length>=2*this.Patch_Margin&&e&&(this.patch_addContext_(a,h),c.push(a),a=new diff_match_patch.patch_obj,e=0,h=d,f=g)}k!==DIFF_INSERT&&(f+=m.length);k!==DIFF_DELETE&&(g+=m.length)}e&&(this.patch_addContext_(a,h),c.push(a));return c};\ndiff_match_patch.prototype.patch_deepCopy=function(a){for(var b=[],c=0;c<a.length;c++){var d=a[c],e=new diff_match_patch.patch_obj;e.diffs=[];for(var f=0;f<d.diffs.length;f++)e.diffs[f]=d.diffs[f].slice();e.start1=d.start1;e.start2=d.start2;e.length1=d.length1;e.length2=d.length2;b[c]=e}return b};\ndiff_match_patch.prototype.patch_apply=function(a,b){if(0==a.length)return[b,[]];a=this.patch_deepCopy(a);var c=this.patch_addPadding(a);b=c+b+c;this.patch_splitMax(a);for(var d=0,e=[],f=0;f<a.length;f++){var g=a[f].start2+d,h=this.diff_text1(a[f].diffs),l=-1;if(h.length>this.Match_MaxBits){var k=this.match_main(b,h.substring(0,this.Match_MaxBits),g);-1!=k&&(l=this.match_main(b,h.substring(h.length-this.Match_MaxBits),g+h.length-this.Match_MaxBits),-1==l||k>=l)&&(k=-1)}else k=this.match_main(b,h,\ng);if(-1==k)e[f]=!1,d-=a[f].length2-a[f].length1;else if(e[f]=!0,d=k-g,g=-1==l?b.substring(k,k+h.length):b.substring(k,l+this.Match_MaxBits),h==g)b=b.substring(0,k)+this.diff_text2(a[f].diffs)+b.substring(k+h.length);else if(g=this.diff_main(h,g,!1),h.length>this.Match_MaxBits&&this.diff_levenshtein(g)/h.length>this.Patch_DeleteThreshold)e[f]=!1;else{this.diff_cleanupSemanticLossless(g);h=0;var m;for(l=0;l<a[f].diffs.length;l++){var p=a[f].diffs[l];p[0]!==DIFF_EQUAL&&(m=this.diff_xIndex(g,h));p[0]===\nDIFF_INSERT?b=b.substring(0,k+m)+p[1]+b.substring(k+m):p[0]===DIFF_DELETE&&(b=b.substring(0,k+m)+b.substring(k+this.diff_xIndex(g,h+p[1].length)));p[0]!==DIFF_DELETE&&(h+=p[1].length)}}}b=b.substring(c.length,b.length-c.length);return[b,e]};\ndiff_match_patch.prototype.patch_addPadding=function(a){for(var b=this.Patch_Margin,c=\"\",d=1;d<=b;d++)c+=String.fromCharCode(d);for(d=0;d<a.length;d++)a[d].start1+=b,a[d].start2+=b;d=a[0];var e=d.diffs;if(0==e.length||e[0][0]!=DIFF_EQUAL)e.unshift([DIFF_EQUAL,c]),d.start1-=b,d.start2-=b,d.length1+=b,d.length2+=b;else if(b>e[0][1].length){var f=b-e[0][1].length;e[0][1]=c.substring(e[0][1].length)+e[0][1];d.start1-=f;d.start2-=f;d.length1+=f;d.length2+=f}d=a[a.length-1];e=d.diffs;0==e.length||e[e.length-\n1][0]!=DIFF_EQUAL?(e.push([DIFF_EQUAL,c]),d.length1+=b,d.length2+=b):b>e[e.length-1][1].length&&(f=b-e[e.length-1][1].length,e[e.length-1][1]+=c.substring(0,f),d.length1+=f,d.length2+=f);return c};\ndiff_match_patch.prototype.patch_splitMax=function(a){for(var b=this.Match_MaxBits,c=0;c<a.length;c++)if(!(a[c].length1<=b)){var d=a[c];a.splice(c--,1);for(var e=d.start1,f=d.start2,g=\"\";0!==d.diffs.length;){var h=new diff_match_patch.patch_obj,l=!0;h.start1=e-g.length;h.start2=f-g.length;\"\"!==g&&(h.length1=h.length2=g.length,h.diffs.push([DIFF_EQUAL,g]));for(;0!==d.diffs.length&&h.length1<b-this.Patch_Margin;){g=d.diffs[0][0];var k=d.diffs[0][1];g===DIFF_INSERT?(h.length2+=k.length,f+=k.length,h.diffs.push(d.diffs.shift()),\nl=!1):g===DIFF_DELETE&&1==h.diffs.length&&h.diffs[0][0]==DIFF_EQUAL&&k.length>2*b?(h.length1+=k.length,e+=k.length,l=!1,h.diffs.push([g,k]),d.diffs.shift()):(k=k.substring(0,b-h.length1-this.Patch_Margin),h.length1+=k.length,e+=k.length,g===DIFF_EQUAL?(h.length2+=k.length,f+=k.length):l=!1,h.diffs.push([g,k]),k==d.diffs[0][1]?d.diffs.shift():d.diffs[0][1]=d.diffs[0][1].substring(k.length))}g=this.diff_text2(h.diffs);g=g.substring(g.length-this.Patch_Margin);k=this.diff_text1(d.diffs).substring(0,\nthis.Patch_Margin);\"\"!==k&&(h.length1+=k.length,h.length2+=k.length,0!==h.diffs.length&&h.diffs[h.diffs.length-1][0]===DIFF_EQUAL?h.diffs[h.diffs.length-1][1]+=k:h.diffs.push([DIFF_EQUAL,k]));l||a.splice(++c,0,h)}}};diff_match_patch.prototype.patch_toText=function(a){for(var b=[],c=0;c<a.length;c++)b[c]=a[c];return b.join(\"\")};\ndiff_match_patch.prototype.patch_fromText=function(a){var b=[];if(!a)return b;a=a.split(\"\\n\");for(var c=0,d=/^@@ -(\\d+),?(\\d*) \\+(\\d+),?(\\d*) @@$/;c<a.length;){var e=a[c].match(d);if(!e)throw Error(\"Invalid patch string: \"+a[c]);var f=new diff_match_patch.patch_obj;b.push(f);f.start1=parseInt(e[1],10);\"\"===e[2]?(f.start1--,f.length1=1):\"0\"==e[2]?f.length1=0:(f.start1--,f.length1=parseInt(e[2],10));f.start2=parseInt(e[3],10);\"\"===e[4]?(f.start2--,f.length2=1):\"0\"==e[4]?f.length2=0:(f.start2--,f.length2=\nparseInt(e[4],10));for(c++;c<a.length;){e=a[c].charAt(0);try{var g=decodeURI(a[c].substring(1))}catch(h){throw Error(\"Illegal escape in patch_fromText: \"+g);}if(\"-\"==e)f.diffs.push([DIFF_DELETE,g]);else if(\"+\"==e)f.diffs.push([DIFF_INSERT,g]);else if(\" \"==e)f.diffs.push([DIFF_EQUAL,g]);else if(\"@\"==e)break;else if(\"\"!==e)throw Error('Invalid patch mode \"'+e+'\" in: '+g);c++}}return b};diff_match_patch.patch_obj=function(){this.diffs=[];this.start2=this.start1=null;this.length2=this.length1=0};\ndiff_match_patch.patch_obj.prototype.toString=function(){for(var a=[\"@@ -\"+(0===this.length1?this.start1+\",0\":1==this.length1?this.start1+1:this.start1+1+\",\"+this.length1)+\" +\"+(0===this.length2?this.start2+\",0\":1==this.length2?this.start2+1:this.start2+1+\",\"+this.length2)+\" @@\\n\"],b,c=0;c<this.diffs.length;c++){switch(this.diffs[c][0]){case DIFF_INSERT:b=\"+\";break;case DIFF_DELETE:b=\"-\";break;case DIFF_EQUAL:b=\" \"}a[c+1]=b+encodeURI(this.diffs[c][1])+\"\\n\"}return a.join(\"\").replace(/%20/g,\" \")};\nthis.diff_match_patch=diff_match_patch;this.DIFF_DELETE=DIFF_DELETE;this.DIFF_INSERT=DIFF_INSERT;this.DIFF_EQUAL=DIFF_EQUAL;\n}).call(exports);",
            "type": "application/javascript",
            "title": "$:/core/modules/utils/diff-match-patch/diff_match_patch.js",
            "module-type": "library"
        },
        "$:/core/modules/utils/dom/animations/slide.js": {
            "title": "$:/core/modules/utils/dom/animations/slide.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/animations/slide.js\ntype: application/javascript\nmodule-type: animation\n\nA simple slide animation that varies the height of the element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction slideOpen(domNode,options) {\n\toptions = options || {};\n\tvar duration = options.duration || $tw.utils.getAnimationDuration();\n\t// Get the current height of the domNode\n\tvar computedStyle = window.getComputedStyle(domNode),\n\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\tcurrPaddingBottom = parseInt(computedStyle.paddingBottom,10),\n\t\tcurrPaddingTop = parseInt(computedStyle.paddingTop,10),\n\t\tcurrHeight = domNode.offsetHeight;\n\t// Reset the margin once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(domNode,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"},\n\t\t\t{marginTop: \"\"},\n\t\t\t{paddingBottom: \"\"},\n\t\t\t{paddingTop: \"\"},\n\t\t\t{height: \"auto\"},\n\t\t\t{opacity: \"\"}\n\t\t]);\n\t\tif(options.callback) {\n\t\t\toptions.callback();\n\t\t}\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"none\"},\n\t\t{marginTop: \"0px\"},\n\t\t{marginBottom: \"0px\"},\n\t\t{paddingTop: \"0px\"},\n\t\t{paddingBottom: \"0px\"},\n\t\t{height: \"0px\"},\n\t\t{opacity: \"0\"}\n\t]);\n\t$tw.utils.forceLayout(domNode);\n\t// Transition to the final position\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"margin-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"height \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t{marginTop: currMarginTop + \"px\"},\n\t\t{paddingBottom: currPaddingBottom + \"px\"},\n\t\t{paddingTop: currPaddingTop + \"px\"},\n\t\t{height: currHeight + \"px\"},\n\t\t{opacity: \"1\"}\n\t]);\n}\n\nfunction slideClosed(domNode,options) {\n\toptions = options || {};\n\tvar duration = options.duration || $tw.utils.getAnimationDuration(),\n\t\tcurrHeight = domNode.offsetHeight;\n\t// Clear the properties we've set when the animation is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(domNode,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"},\n\t\t\t{marginTop: \"\"},\n\t\t\t{paddingBottom: \"\"},\n\t\t\t{paddingTop: \"\"},\n\t\t\t{height: \"auto\"},\n\t\t\t{opacity: \"\"}\n\t\t]);\n\t\tif(options.callback) {\n\t\t\toptions.callback();\n\t\t}\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(domNode,[\n\t\t{height: currHeight + \"px\"},\n\t\t{opacity: \"1\"}\n\t]);\n\t$tw.utils.forceLayout(domNode);\n\t// Transition to the final position\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"margin-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"height \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{marginTop: \"0px\"},\n\t\t{marginBottom: \"0px\"},\n\t\t{paddingTop: \"0px\"},\n\t\t{paddingBottom: \"0px\"},\n\t\t{height: \"0px\"},\n\t\t{opacity: \"0\"}\n\t]);\n}\n\nexports.slide = {\n\topen: slideOpen,\n\tclose: slideClosed\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "animation"
        },
        "$:/core/modules/utils/dom/animator.js": {
            "title": "$:/core/modules/utils/dom/animator.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/animator.js\ntype: application/javascript\nmodule-type: utils\n\nOrchestrates animations and transitions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction Animator() {\n\t// Get the registered animation modules\n\tthis.animations = {};\n\t$tw.modules.applyMethods(\"animation\",this.animations);\n}\n\nAnimator.prototype.perform = function(type,domNode,options) {\n\toptions = options || {};\n\t// Find an animation that can handle this type\n\tvar chosenAnimation;\n\t$tw.utils.each(this.animations,function(animation,name) {\n\t\tif($tw.utils.hop(animation,type)) {\n\t\t\tchosenAnimation = animation[type];\n\t\t}\n\t});\n\tif(!chosenAnimation) {\n\t\tchosenAnimation = function(domNode,options) {\n\t\t\tif(options.callback) {\n\t\t\t\toptions.callback();\n\t\t\t}\n\t\t};\n\t}\n\t// Call the animation\n\tchosenAnimation(domNode,options);\n};\n\nexports.Animator = Animator;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom/browser.js": {
            "title": "$:/core/modules/utils/dom/browser.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/browser.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser feature detection\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSet style properties of an element\n\telement: dom node\n\tstyles: ordered array of {name: value} pairs\n*/\nexports.setStyle = function(element,styles) {\n\tif(element.nodeType === 1) { // Element.ELEMENT_NODE\n\t\tfor(var t=0; t<styles.length; t++) {\n\t\t\tfor(var styleName in styles[t]) {\n\t\t\t\telement.style[$tw.utils.convertStyleNameToPropertyName(styleName)] = styles[t][styleName];\n\t\t\t}\n\t\t}\n\t}\n};\n\n/*\nConverts a standard CSS property name into the local browser-specific equivalent. For example:\n\t\"background-color\" --> \"backgroundColor\"\n\t\"transition\" --> \"webkitTransition\"\n*/\n\nvar styleNameCache = {}; // We'll cache the style name conversions\n\nexports.convertStyleNameToPropertyName = function(styleName) {\n\t// Return from the cache if we can\n\tif(styleNameCache[styleName]) {\n\t\treturn styleNameCache[styleName];\n\t}\n\t// Convert it by first removing any hyphens\n\tvar propertyName = $tw.utils.unHyphenateCss(styleName);\n\t// Then check if it needs a prefix\n\tif($tw.browser && document.body.style[propertyName] === undefined) {\n\t\tvar prefixes = [\"O\",\"MS\",\"Moz\",\"webkit\"];\n\t\tfor(var t=0; t<prefixes.length; t++) {\n\t\t\tvar prefixedName = prefixes[t] + propertyName.substr(0,1).toUpperCase() + propertyName.substr(1);\n\t\t\tif(document.body.style[prefixedName] !== undefined) {\n\t\t\t\tpropertyName = prefixedName;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}\n\t// Put it in the cache too\n\tstyleNameCache[styleName] = propertyName;\n\treturn propertyName;\n};\n\n/*\nConverts a JS format CSS property name back into the dashed form used in CSS declarations. For example:\n\t\"backgroundColor\" --> \"background-color\"\n\t\"webkitTransform\" --> \"-webkit-transform\"\n*/\nexports.convertPropertyNameToStyleName = function(propertyName) {\n\t// Rehyphenate the name\n\tvar styleName = $tw.utils.hyphenateCss(propertyName);\n\t// If there's a webkit prefix, add a dash (other browsers have uppercase prefixes, and so get the dash automatically)\n\tif(styleName.indexOf(\"webkit\") === 0) {\n\t\tstyleName = \"-\" + styleName;\n\t} else if(styleName.indexOf(\"-m-s\") === 0) {\n\t\tstyleName = \"-ms\" + styleName.substr(4);\n\t}\n\treturn styleName;\n};\n\n/*\nRound trip a stylename to a property name and back again. For example:\n\t\"transform\" --> \"webkitTransform\" --> \"-webkit-transform\"\n*/\nexports.roundTripPropertyName = function(propertyName) {\n\treturn $tw.utils.convertPropertyNameToStyleName($tw.utils.convertStyleNameToPropertyName(propertyName));\n};\n\n/*\nConverts a standard event name into the local browser specific equivalent. For example:\n\t\"animationEnd\" --> \"webkitAnimationEnd\"\n*/\n\nvar eventNameCache = {}; // We'll cache the conversions\n\nvar eventNameMappings = {\n\t\"transitionEnd\": {\n\t\tcorrespondingCssProperty: \"transition\",\n\t\tmappings: {\n\t\t\ttransition: \"transitionend\",\n\t\t\tOTransition: \"oTransitionEnd\",\n\t\t\tMSTransition: \"msTransitionEnd\",\n\t\t\tMozTransition: \"transitionend\",\n\t\t\twebkitTransition: \"webkitTransitionEnd\"\n\t\t}\n\t},\n\t\"animationEnd\": {\n\t\tcorrespondingCssProperty: \"animation\",\n\t\tmappings: {\n\t\t\tanimation: \"animationend\",\n\t\t\tOAnimation: \"oAnimationEnd\",\n\t\t\tMSAnimation: \"msAnimationEnd\",\n\t\t\tMozAnimation: \"animationend\",\n\t\t\twebkitAnimation: \"webkitAnimationEnd\"\n\t\t}\n\t}\n};\n\nexports.convertEventName = function(eventName) {\n\tif(eventNameCache[eventName]) {\n\t\treturn eventNameCache[eventName];\n\t}\n\tvar newEventName = eventName,\n\t\tmappings = eventNameMappings[eventName];\n\tif(mappings) {\n\t\tvar convertedProperty = $tw.utils.convertStyleNameToPropertyName(mappings.correspondingCssProperty);\n\t\tif(mappings.mappings[convertedProperty]) {\n\t\t\tnewEventName = mappings.mappings[convertedProperty];\n\t\t}\n\t}\n\t// Put it in the cache too\n\teventNameCache[eventName] = newEventName;\n\treturn newEventName;\n};\n\n/*\nReturn the names of the fullscreen APIs\n*/\nexports.getFullScreenApis = function() {\n\tvar d = document,\n\t\tdb = d.body,\n\t\tresult = {\n\t\t\"_requestFullscreen\": db.webkitRequestFullscreen !== undefined ? \"webkitRequestFullscreen\" :\n\t\t\t\t\t\t\tdb.mozRequestFullScreen !== undefined ? \"mozRequestFullScreen\" :\n\t\t\t\t\t\t\tdb.msRequestFullscreen !== undefined ? \"msRequestFullscreen\" :\n\t\t\t\t\t\t\tdb.requestFullscreen !== undefined ? \"requestFullscreen\" : \"\",\n\t\t\"_exitFullscreen\": d.webkitExitFullscreen !== undefined ? \"webkitExitFullscreen\" :\n\t\t\t\t\t\t\td.mozCancelFullScreen !== undefined ? \"mozCancelFullScreen\" :\n\t\t\t\t\t\t\td.msExitFullscreen !== undefined ? \"msExitFullscreen\" :\n\t\t\t\t\t\t\td.exitFullscreen !== undefined ? \"exitFullscreen\" : \"\",\n\t\t\"_fullscreenElement\": d.webkitFullscreenElement !== undefined ? \"webkitFullscreenElement\" :\n\t\t\t\t\t\t\td.mozFullScreenElement !== undefined ? \"mozFullScreenElement\" :\n\t\t\t\t\t\t\td.msFullscreenElement !== undefined ? \"msFullscreenElement\" :\n\t\t\t\t\t\t\td.fullscreenElement !== undefined ? \"fullscreenElement\" : \"\",\n\t\t\"_fullscreenChange\": d.webkitFullscreenElement !== undefined ? \"webkitfullscreenchange\" :\n\t\t\t\t\t\t\td.mozFullScreenElement !== undefined ? \"mozfullscreenchange\" :\n\t\t\t\t\t\t\td.msFullscreenElement !== undefined ? \"MSFullscreenChange\" :\n\t\t\t\t\t\t\td.fullscreenElement !== undefined ? \"fullscreenchange\" : \"\"\n\t};\n\tif(!result._requestFullscreen || !result._exitFullscreen || !result._fullscreenElement || !result._fullscreenChange) {\n\t\treturn null;\n\t} else {\n\t\treturn result;\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom/csscolorparser.js": {
            "title": "$:/core/modules/utils/dom/csscolorparser.js",
            "text": "// (c) Dean McNamee <dean@gmail.com>, 2012.\n//\n// https://github.com/deanm/css-color-parser-js\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to\n// deal in the Software without restriction, including without limitation the\n// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n// sell copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n// IN THE SOFTWARE.\n\n// http://www.w3.org/TR/css3-color/\nvar kCSSColorTable = {\n  \"transparent\": [0,0,0,0], \"aliceblue\": [240,248,255,1],\n  \"antiquewhite\": [250,235,215,1], \"aqua\": [0,255,255,1],\n  \"aquamarine\": [127,255,212,1], \"azure\": [240,255,255,1],\n  \"beige\": [245,245,220,1], \"bisque\": [255,228,196,1],\n  \"black\": [0,0,0,1], \"blanchedalmond\": [255,235,205,1],\n  \"blue\": [0,0,255,1], \"blueviolet\": [138,43,226,1],\n  \"brown\": [165,42,42,1], \"burlywood\": [222,184,135,1],\n  \"cadetblue\": [95,158,160,1], \"chartreuse\": [127,255,0,1],\n  \"chocolate\": [210,105,30,1], \"coral\": [255,127,80,1],\n  \"cornflowerblue\": [100,149,237,1], \"cornsilk\": [255,248,220,1],\n  \"crimson\": [220,20,60,1], \"cyan\": [0,255,255,1],\n  \"darkblue\": [0,0,139,1], \"darkcyan\": [0,139,139,1],\n  \"darkgoldenrod\": [184,134,11,1], \"darkgray\": [169,169,169,1],\n  \"darkgreen\": [0,100,0,1], \"darkgrey\": [169,169,169,1],\n  \"darkkhaki\": [189,183,107,1], \"darkmagenta\": [139,0,139,1],\n  \"darkolivegreen\": [85,107,47,1], \"darkorange\": [255,140,0,1],\n  \"darkorchid\": [153,50,204,1], \"darkred\": [139,0,0,1],\n  \"darksalmon\": [233,150,122,1], \"darkseagreen\": [143,188,143,1],\n  \"darkslateblue\": [72,61,139,1], \"darkslategray\": [47,79,79,1],\n  \"darkslategrey\": [47,79,79,1], \"darkturquoise\": [0,206,209,1],\n  \"darkviolet\": [148,0,211,1], \"deeppink\": [255,20,147,1],\n  \"deepskyblue\": [0,191,255,1], \"dimgray\": [105,105,105,1],\n  \"dimgrey\": [105,105,105,1], \"dodgerblue\": [30,144,255,1],\n  \"firebrick\": [178,34,34,1], \"floralwhite\": [255,250,240,1],\n  \"forestgreen\": [34,139,34,1], \"fuchsia\": [255,0,255,1],\n  \"gainsboro\": [220,220,220,1], \"ghostwhite\": [248,248,255,1],\n  \"gold\": [255,215,0,1], \"goldenrod\": [218,165,32,1],\n  \"gray\": [128,128,128,1], \"green\": [0,128,0,1],\n  \"greenyellow\": [173,255,47,1], \"grey\": [128,128,128,1],\n  \"honeydew\": [240,255,240,1], \"hotpink\": [255,105,180,1],\n  \"indianred\": [205,92,92,1], \"indigo\": [75,0,130,1],\n  \"ivory\": [255,255,240,1], \"khaki\": [240,230,140,1],\n  \"lavender\": [230,230,250,1], \"lavenderblush\": [255,240,245,1],\n  \"lawngreen\": [124,252,0,1], \"lemonchiffon\": [255,250,205,1],\n  \"lightblue\": [173,216,230,1], \"lightcoral\": [240,128,128,1],\n  \"lightcyan\": [224,255,255,1], \"lightgoldenrodyellow\": [250,250,210,1],\n  \"lightgray\": [211,211,211,1], \"lightgreen\": [144,238,144,1],\n  \"lightgrey\": [211,211,211,1], \"lightpink\": [255,182,193,1],\n  \"lightsalmon\": [255,160,122,1], \"lightseagreen\": [32,178,170,1],\n  \"lightskyblue\": [135,206,250,1], \"lightslategray\": [119,136,153,1],\n  \"lightslategrey\": [119,136,153,1], \"lightsteelblue\": [176,196,222,1],\n  \"lightyellow\": [255,255,224,1], \"lime\": [0,255,0,1],\n  \"limegreen\": [50,205,50,1], \"linen\": [250,240,230,1],\n  \"magenta\": [255,0,255,1], \"maroon\": [128,0,0,1],\n  \"mediumaquamarine\": [102,205,170,1], \"mediumblue\": [0,0,205,1],\n  \"mediumorchid\": [186,85,211,1], \"mediumpurple\": [147,112,219,1],\n  \"mediumseagreen\": [60,179,113,1], \"mediumslateblue\": [123,104,238,1],\n  \"mediumspringgreen\": [0,250,154,1], \"mediumturquoise\": [72,209,204,1],\n  \"mediumvioletred\": [199,21,133,1], \"midnightblue\": [25,25,112,1],\n  \"mintcream\": [245,255,250,1], \"mistyrose\": [255,228,225,1],\n  \"moccasin\": [255,228,181,1], \"navajowhite\": [255,222,173,1],\n  \"navy\": [0,0,128,1], \"oldlace\": [253,245,230,1],\n  \"olive\": [128,128,0,1], \"olivedrab\": [107,142,35,1],\n  \"orange\": [255,165,0,1], \"orangered\": [255,69,0,1],\n  \"orchid\": [218,112,214,1], \"palegoldenrod\": [238,232,170,1],\n  \"palegreen\": [152,251,152,1], \"paleturquoise\": [175,238,238,1],\n  \"palevioletred\": [219,112,147,1], \"papayawhip\": [255,239,213,1],\n  \"peachpuff\": [255,218,185,1], \"peru\": [205,133,63,1],\n  \"pink\": [255,192,203,1], \"plum\": [221,160,221,1],\n  \"powderblue\": [176,224,230,1], \"purple\": [128,0,128,1],\n  \"red\": [255,0,0,1], \"rosybrown\": [188,143,143,1],\n  \"royalblue\": [65,105,225,1], \"saddlebrown\": [139,69,19,1],\n  \"salmon\": [250,128,114,1], \"sandybrown\": [244,164,96,1],\n  \"seagreen\": [46,139,87,1], \"seashell\": [255,245,238,1],\n  \"sienna\": [160,82,45,1], \"silver\": [192,192,192,1],\n  \"skyblue\": [135,206,235,1], \"slateblue\": [106,90,205,1],\n  \"slategray\": [112,128,144,1], \"slategrey\": [112,128,144,1],\n  \"snow\": [255,250,250,1], \"springgreen\": [0,255,127,1],\n  \"steelblue\": [70,130,180,1], \"tan\": [210,180,140,1],\n  \"teal\": [0,128,128,1], \"thistle\": [216,191,216,1],\n  \"tomato\": [255,99,71,1], \"turquoise\": [64,224,208,1],\n  \"violet\": [238,130,238,1], \"wheat\": [245,222,179,1],\n  \"white\": [255,255,255,1], \"whitesmoke\": [245,245,245,1],\n  \"yellow\": [255,255,0,1], \"yellowgreen\": [154,205,50,1]}\n\nfunction clamp_css_byte(i) {  // Clamp to integer 0 .. 255.\n  i = Math.round(i);  // Seems to be what Chrome does (vs truncation).\n  return i < 0 ? 0 : i > 255 ? 255 : i;\n}\n\nfunction clamp_css_float(f) {  // Clamp to float 0.0 .. 1.0.\n  return f < 0 ? 0 : f > 1 ? 1 : f;\n}\n\nfunction parse_css_int(str) {  // int or percentage.\n  if (str[str.length - 1] === '%')\n    return clamp_css_byte(parseFloat(str) / 100 * 255);\n  return clamp_css_byte(parseInt(str));\n}\n\nfunction parse_css_float(str) {  // float or percentage.\n  if (str[str.length - 1] === '%')\n    return clamp_css_float(parseFloat(str) / 100);\n  return clamp_css_float(parseFloat(str));\n}\n\nfunction css_hue_to_rgb(m1, m2, h) {\n  if (h < 0) h += 1;\n  else if (h > 1) h -= 1;\n\n  if (h * 6 < 1) return m1 + (m2 - m1) * h * 6;\n  if (h * 2 < 1) return m2;\n  if (h * 3 < 2) return m1 + (m2 - m1) * (2/3 - h) * 6;\n  return m1;\n}\n\nfunction parseCSSColor(css_str) {\n  // Remove all whitespace, not compliant, but should just be more accepting.\n  var str = css_str.replace(/ /g, '').toLowerCase();\n\n  // Color keywords (and transparent) lookup.\n  if (str in kCSSColorTable) return kCSSColorTable[str].slice();  // dup.\n\n  // #abc and #abc123 syntax.\n  if (str[0] === '#') {\n    if (str.length === 4) {\n      var iv = parseInt(str.substr(1), 16);  // TODO(deanm): Stricter parsing.\n      if (!(iv >= 0 && iv <= 0xfff)) return null;  // Covers NaN.\n      return [((iv & 0xf00) >> 4) | ((iv & 0xf00) >> 8),\n              (iv & 0xf0) | ((iv & 0xf0) >> 4),\n              (iv & 0xf) | ((iv & 0xf) << 4),\n              1];\n    } else if (str.length === 7) {\n      var iv = parseInt(str.substr(1), 16);  // TODO(deanm): Stricter parsing.\n      if (!(iv >= 0 && iv <= 0xffffff)) return null;  // Covers NaN.\n      return [(iv & 0xff0000) >> 16,\n              (iv & 0xff00) >> 8,\n              iv & 0xff,\n              1];\n    }\n\n    return null;\n  }\n\n  var op = str.indexOf('('), ep = str.indexOf(')');\n  if (op !== -1 && ep + 1 === str.length) {\n    var fname = str.substr(0, op);\n    var params = str.substr(op+1, ep-(op+1)).split(',');\n    var alpha = 1;  // To allow case fallthrough.\n    switch (fname) {\n      case 'rgba':\n        if (params.length !== 4) return null;\n        alpha = parse_css_float(params.pop());\n        // Fall through.\n      case 'rgb':\n        if (params.length !== 3) return null;\n        return [parse_css_int(params[0]),\n                parse_css_int(params[1]),\n                parse_css_int(params[2]),\n                alpha];\n      case 'hsla':\n        if (params.length !== 4) return null;\n        alpha = parse_css_float(params.pop());\n        // Fall through.\n      case 'hsl':\n        if (params.length !== 3) return null;\n        var h = (((parseFloat(params[0]) % 360) + 360) % 360) / 360;  // 0 .. 1\n        // NOTE(deanm): According to the CSS spec s/l should only be\n        // percentages, but we don't bother and let float or percentage.\n        var s = parse_css_float(params[1]);\n        var l = parse_css_float(params[2]);\n        var m2 = l <= 0.5 ? l * (s + 1) : l + s - l * s;\n        var m1 = l * 2 - m2;\n        return [clamp_css_byte(css_hue_to_rgb(m1, m2, h+1/3) * 255),\n                clamp_css_byte(css_hue_to_rgb(m1, m2, h) * 255),\n                clamp_css_byte(css_hue_to_rgb(m1, m2, h-1/3) * 255),\n                alpha];\n      default:\n        return null;\n    }\n  }\n\n  return null;\n}\n\ntry { exports.parseCSSColor = parseCSSColor } catch(e) { }\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom.js": {
            "title": "$:/core/modules/utils/dom.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom.js\ntype: application/javascript\nmodule-type: utils\n\nVarious static DOM-related utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nDetermines whether element 'a' contains element 'b'\nCode thanks to John Resig, http://ejohn.org/blog/comparing-document-position/\n*/\nexports.domContains = function(a,b) {\n\treturn a.contains ?\n\t\ta !== b && a.contains(b) :\n\t\t!!(a.compareDocumentPosition(b) & 16);\n};\n\nexports.removeChildren = function(node) {\n\twhile(node.hasChildNodes()) {\n\t\tnode.removeChild(node.firstChild);\n\t}\n};\n\nexports.hasClass = function(el,className) {\n\treturn el && el.hasAttribute && el.hasAttribute(\"class\") && el.getAttribute(\"class\").split(\" \").indexOf(className) !== -1;\n};\n\nexports.addClass = function(el,className) {\n\tvar c = (el.getAttribute(\"class\") || \"\").split(\" \");\n\tif(c.indexOf(className) === -1) {\n\t\tc.push(className);\n\t\tel.setAttribute(\"class\",c.join(\" \"));\n\t}\n};\n\nexports.removeClass = function(el,className) {\n\tvar c = (el.getAttribute(\"class\") || \"\").split(\" \"),\n\t\tp = c.indexOf(className);\n\tif(p !== -1) {\n\t\tc.splice(p,1);\n\t\tel.setAttribute(\"class\",c.join(\" \"));\n\t}\n};\n\nexports.toggleClass = function(el,className,status) {\n\tif(status === undefined) {\n\t\tstatus = !exports.hasClass(el,className);\n\t}\n\tif(status) {\n\t\texports.addClass(el,className);\n\t} else {\n\t\texports.removeClass(el,className);\n\t}\n};\n\n/*\nGet the first parent element that has scrollbars or use the body as fallback.\n*/\nexports.getScrollContainer = function(el) {\n\tvar doc = el.ownerDocument;\n\twhile(el.parentNode) {\t\n\t\tel = el.parentNode;\n\t\tif(el.scrollTop) {\n\t\t\treturn el;\n\t\t}\n\t}\n\treturn doc.body;\n};\n\n/*\nGet the scroll position of the viewport\nReturns:\n\t{\n\t\tx: horizontal scroll position in pixels,\n\t\ty: vertical scroll position in pixels\n\t}\n*/\nexports.getScrollPosition = function(srcWindow) {\n\tvar scrollWindow = srcWindow || window;\n\tif(\"scrollX\" in scrollWindow) {\n\t\treturn {x: scrollWindow.scrollX, y: scrollWindow.scrollY};\n\t} else {\n\t\treturn {x: scrollWindow.document.documentElement.scrollLeft, y: scrollWindow.document.documentElement.scrollTop};\n\t}\n};\n\n/*\nAdjust the height of a textarea to fit its content, preserving scroll position, and return the height\n*/\nexports.resizeTextAreaToFit = function(domNode,minHeight) {\n\t// Get the scroll container and register the current scroll position\n\tvar container = $tw.utils.getScrollContainer(domNode),\n\t\tscrollTop = container.scrollTop;\n    // Measure the specified minimum height\n\tdomNode.style.height = minHeight;\n\tvar measuredHeight = domNode.offsetHeight || parseInt(minHeight,10);\n\t// Set its height to auto so that it snaps to the correct height\n\tdomNode.style.height = \"auto\";\n\t// Calculate the revised height\n\tvar newHeight = Math.max(domNode.scrollHeight + domNode.offsetHeight - domNode.clientHeight,measuredHeight);\n\t// Only try to change the height if it has changed\n\tif(newHeight !== domNode.offsetHeight) {\n\t\tdomNode.style.height = newHeight + \"px\";\n\t\t// Make sure that the dimensions of the textarea are recalculated\n\t\t$tw.utils.forceLayout(domNode);\n\t\t// Set the container to the position we registered at the beginning\n\t\tcontainer.scrollTop = scrollTop;\n\t}\n\treturn newHeight;\n};\n\n/*\nGets the bounding rectangle of an element in absolute page coordinates\n*/\nexports.getBoundingPageRect = function(element) {\n\tvar scrollPos = $tw.utils.getScrollPosition(element.ownerDocument.defaultView),\n\t\tclientRect = element.getBoundingClientRect();\n\treturn {\n\t\tleft: clientRect.left + scrollPos.x,\n\t\twidth: clientRect.width,\n\t\tright: clientRect.right + scrollPos.x,\n\t\ttop: clientRect.top + scrollPos.y,\n\t\theight: clientRect.height,\n\t\tbottom: clientRect.bottom + scrollPos.y\n\t};\n};\n\n/*\nSaves a named password in the browser\n*/\nexports.savePassword = function(name,password) {\n\tvar done = false;\n\ttry {\n\t\twindow.localStorage.setItem(\"tw5-password-\" + name,password);\n\t\tdone = true;\n\t} catch(e) {\n\t}\n\tif(!done) {\n\t\t$tw.savedPasswords = $tw.savedPasswords || Object.create(null);\n\t\t$tw.savedPasswords[name] = password;\n\t}\n};\n\n/*\nRetrieve a named password from the browser\n*/\nexports.getPassword = function(name) {\n\tvar value;\n\ttry {\n\t\tvalue = window.localStorage.getItem(\"tw5-password-\" + name);\n\t} catch(e) {\n\t}\n\tif(value !== undefined) {\n\t\treturn value;\n\t} else {\n\t\treturn ($tw.savedPasswords || Object.create(null))[name] || \"\";\n\t}\n};\n\n/*\nForce layout of a dom node and its descendents\n*/\nexports.forceLayout = function(element) {\n\tvar dummy = element.offsetWidth;\n};\n\n/*\nPulse an element for debugging purposes\n*/\nexports.pulseElement = function(element) {\n\t// Event handler to remove the class at the end\n\telement.addEventListener($tw.browser.animationEnd,function handler(event) {\n\t\telement.removeEventListener($tw.browser.animationEnd,handler,false);\n\t\t$tw.utils.removeClass(element,\"pulse\");\n\t},false);\n\t// Apply the pulse class\n\t$tw.utils.removeClass(element,\"pulse\");\n\t$tw.utils.forceLayout(element);\n\t$tw.utils.addClass(element,\"pulse\");\n};\n\n/*\nAttach specified event handlers to a DOM node\ndomNode: where to attach the event handlers\nevents: array of event handlers to be added (see below)\nEach entry in the events array is an object with these properties:\nhandlerFunction: optional event handler function\nhandlerObject: optional event handler object\nhandlerMethod: optionally specifies object handler method name (defaults to `handleEvent`)\n*/\nexports.addEventListeners = function(domNode,events) {\n\t$tw.utils.each(events,function(eventInfo) {\n\t\tvar handler;\n\t\tif(eventInfo.handlerFunction) {\n\t\t\thandler = eventInfo.handlerFunction;\n\t\t} else if(eventInfo.handlerObject) {\n\t\t\tif(eventInfo.handlerMethod) {\n\t\t\t\thandler = function(event) {\n\t\t\t\t\teventInfo.handlerObject[eventInfo.handlerMethod].call(eventInfo.handlerObject,event);\n\t\t\t\t};\t\n\t\t\t} else {\n\t\t\t\thandler = eventInfo.handlerObject;\n\t\t\t}\n\t\t}\n\t\tdomNode.addEventListener(eventInfo.name,handler,false);\n\t});\n};\n\n/*\nGet the computed styles applied to an element as an array of strings of individual CSS properties\n*/\nexports.getComputedStyles = function(domNode) {\n\tvar textAreaStyles = window.getComputedStyle(domNode,null),\n\t\tstyleDefs = [],\n\t\tname;\n\tfor(var t=0; t<textAreaStyles.length; t++) {\n\t\tname = textAreaStyles[t];\n\t\tstyleDefs.push(name + \": \" + textAreaStyles.getPropertyValue(name) + \";\");\n\t}\n\treturn styleDefs;\n};\n\n/*\nApply a set of styles passed as an array of strings of individual CSS properties\n*/\nexports.setStyles = function(domNode,styleDefs) {\n\tdomNode.style.cssText = styleDefs.join(\"\");\n};\n\n/*\nCopy the computed styles from a source element to a destination element\n*/\nexports.copyStyles = function(srcDomNode,dstDomNode) {\n\t$tw.utils.setStyles(dstDomNode,$tw.utils.getComputedStyles(srcDomNode));\n};\n\n/*\nCopy plain text to the clipboard on browsers that support it\n*/\nexports.copyToClipboard = function(text,options) {\n\toptions = options || {};\n\tvar textArea = document.createElement(\"textarea\");\n\ttextArea.style.position = \"fixed\";\n\ttextArea.style.top = 0;\n\ttextArea.style.left = 0;\n\ttextArea.style.fontSize = \"12pt\";\n\ttextArea.style.width = \"2em\";\n\ttextArea.style.height = \"2em\";\n\ttextArea.style.padding = 0;\n\ttextArea.style.border = \"none\";\n\ttextArea.style.outline = \"none\";\n\ttextArea.style.boxShadow = \"none\";\n\ttextArea.style.background = \"transparent\";\n\ttextArea.value = text;\n\tdocument.body.appendChild(textArea);\n\ttextArea.select();\n\ttextArea.setSelectionRange(0,text.length);\n\tvar succeeded = false;\n\ttry {\n\t\tsucceeded = document.execCommand(\"copy\");\n\t} catch (err) {\n\t}\n\tif(!options.doNotNotify) {\n\t\t$tw.notifier.display(succeeded ? \"$:/language/Notifications/CopiedToClipboard/Succeeded\" : \"$:/language/Notifications/CopiedToClipboard/Failed\");\n\t}\n\tdocument.body.removeChild(textArea);\n};\n\nexports.getLocationPath = function() {\n\treturn window.location.toString().split(\"#\")[0];\n};\n\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom/dragndrop.js": {
            "title": "$:/core/modules/utils/dom/dragndrop.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/dragndrop.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser data transfer utilities, used with the clipboard and drag and drop\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOptions:\n\ndomNode: dom node to make draggable\ndragImageType: \"pill\" or \"dom\"\ndragTiddlerFn: optional function to retrieve the title of tiddler to drag\ndragFilterFn: optional function to retreive the filter defining a list of tiddlers to drag\nwidget: widget to use as the contect for the filter\n*/\nexports.makeDraggable = function(options) {\n\tvar dragImageType = options.dragImageType || \"dom\",\n\t\tdragImage,\n\t\tdomNode = options.domNode;\n\t// Make the dom node draggable (not necessary for anchor tags)\n\tif((domNode.tagName || \"\").toLowerCase() !== \"a\") {\n\t\tdomNode.setAttribute(\"draggable\",\"true\");\t\t\n\t}\n\t// Add event handlers\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"dragstart\", handlerFunction: function(event) {\n\t\t\tif(event.dataTransfer === undefined) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t\t// Collect the tiddlers being dragged\n\t\t\tvar dragTiddler = options.dragTiddlerFn && options.dragTiddlerFn(),\n\t\t\t\tdragFilter = options.dragFilterFn && options.dragFilterFn(),\n\t\t\t\ttitles = dragTiddler ? [dragTiddler] : [],\n\t\t\t    \tstartActions = options.startActions;\n\t\t\tif(dragFilter) {\n\t\t\t\ttitles.push.apply(titles,options.widget.wiki.filterTiddlers(dragFilter,options.widget));\n\t\t\t}\n\t\t\tvar titleString = $tw.utils.stringifyList(titles);\n\t\t\t// Check that we've something to drag\n\t\t\tif(titles.length > 0 && event.target === domNode) {\n\t\t\t\t// Mark the drag in progress\n\t\t\t\t$tw.dragInProgress = domNode;\n\t\t\t\t// Set the dragging class on the element being dragged\n\t\t\t\t$tw.utils.addClass(event.target,\"tc-dragging\");\n\t\t\t\t// Invoke drag-start actions if given\n\t\t\t\tif(startActions !== undefined) {\n\t\t\t\t\toptions.widget.invokeActionString(startActions,options.widget,event,{actionTiddler: titleString});\n\t\t\t\t}\n\t\t\t\t// Create the drag image elements\n\t\t\t\tdragImage = options.widget.document.createElement(\"div\");\n\t\t\t\tdragImage.className = \"tc-tiddler-dragger\";\n\t\t\t\tvar inner = options.widget.document.createElement(\"div\");\n\t\t\t\tinner.className = \"tc-tiddler-dragger-inner\";\n\t\t\t\tinner.appendChild(options.widget.document.createTextNode(\n\t\t\t\t\ttitles.length === 1 ? \n\t\t\t\t\t\ttitles[0] :\n\t\t\t\t\t\ttitles.length + \" tiddlers\"\n\t\t\t\t));\n\t\t\t\tdragImage.appendChild(inner);\n\t\t\t\toptions.widget.document.body.appendChild(dragImage);\n\t\t\t\t// Set the data transfer properties\n\t\t\t\tvar dataTransfer = event.dataTransfer;\n\t\t\t\t// Set up the image\n\t\t\t\tdataTransfer.effectAllowed = \"all\";\n\t\t\t\tif(dataTransfer.setDragImage) {\n\t\t\t\t\tif(dragImageType === \"pill\") {\n\t\t\t\t\t\tdataTransfer.setDragImage(dragImage.firstChild,-16,-16);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvar r = domNode.getBoundingClientRect();\n\t\t\t\t\t\tdataTransfer.setDragImage(domNode,event.clientX-r.left,event.clientY-r.top);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Set up the data transfer\n\t\t\t\tif(dataTransfer.clearData) {\n\t\t\t\t\tdataTransfer.clearData();\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\tvar jsonData = [];\n\t\t\t\tif(titles.length > 1) {\n\t\t\t\t\ttitles.forEach(function(title) {\n\t\t\t\t\t\tjsonData.push(options.widget.wiki.getTiddlerAsJson(title));\n\t\t\t\t\t});\n\t\t\t\t\tjsonData = \"[\" + jsonData.join(\",\") + \"]\";\n\t\t\t\t} else {\n\t\t\t\t\tjsonData = options.widget.wiki.getTiddlerAsJson(titles[0]);\n\t\t\t\t}\n\t\t\t\t// IE doesn't like these content types\n\t\t\t\tif(!$tw.browser.isIE) {\n\t\t\t\t\tdataTransfer.setData(\"text/vnd.tiddler\",jsonData);\n\t\t\t\t\tdataTransfer.setData(\"text/plain\",titleString);\n\t\t\t\t\tdataTransfer.setData(\"text/x-moz-url\",\"data:text/vnd.tiddler,\" + encodeURIComponent(jsonData));\n\t\t\t\t}\n\t\t\t\tdataTransfer.setData(\"URL\",\"data:text/vnd.tiddler,\" + encodeURIComponent(jsonData));\n\t\t\t\tdataTransfer.setData(\"Text\",titleString);\n\t\t\t\tevent.stopPropagation();\n\t\t\t}\n\t\t\treturn false;\n\t\t}},\n\t\t{name: \"dragend\", handlerFunction: function(event) {\n\t\t\tif(event.target === domNode) {\n\t\t\t\t// Collect the tiddlers being dragged\n\t\t\t\tvar dragTiddler = options.dragTiddlerFn && options.dragTiddlerFn(),\n\t\t\t\t\tdragFilter = options.dragFilterFn && options.dragFilterFn(),\n\t\t\t\t\ttitles = dragTiddler ? [dragTiddler] : [],\n\t\t\t    \t\tendActions = options.endActions;\n\t\t\t\tif(dragFilter) {\n\t\t\t\t\ttitles.push.apply(titles,options.widget.wiki.filterTiddlers(dragFilter,options.widget));\n\t\t\t\t}\n\t\t\t\tvar titleString = $tw.utils.stringifyList(titles);\n\t\t\t\t$tw.dragInProgress = null;\n\t\t\t\t// Invoke drag-end actions if given\n\t\t\t\tif(endActions !== undefined) {\n\t\t\t\t\toptions.widget.invokeActionString(endActions,options.widget,event,{actionTiddler: titleString});\n\t\t\t\t}\n\t\t\t\t// Remove the dragging class on the element being dragged\n\t\t\t\t$tw.utils.removeClass(event.target,\"tc-dragging\");\n\t\t\t\t// Delete the drag image element\n\t\t\t\tif(dragImage) {\n\t\t\t\t\tdragImage.parentNode.removeChild(dragImage);\n\t\t\t\t\tdragImage = null;\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn false;\n\t\t}}\n\t]);\n};\n\nexports.importDataTransfer = function(dataTransfer,fallbackTitle,callback) {\n\t// Try each provided data type in turn\n\tif($tw.log.IMPORT) {\n\t\tconsole.log(\"Available data types:\");\n\t\tfor(var type=0; type<dataTransfer.types.length; type++) {\n\t\t\tconsole.log(\"type\",dataTransfer.types[type],dataTransfer.getData(dataTransfer.types[type]))\n\t\t}\n\t}\n\tfor(var t=0; t<importDataTypes.length; t++) {\n\t\tif(!$tw.browser.isIE || importDataTypes[t].IECompatible) {\n\t\t\t// Get the data\n\t\t\tvar dataType = importDataTypes[t];\n\t\t\t\tvar data = dataTransfer.getData(dataType.type);\n\t\t\t// Import the tiddlers in the data\n\t\t\tif(data !== \"\" && data !== null) {\n\t\t\t\tif($tw.log.IMPORT) {\n\t\t\t\t\tconsole.log(\"Importing data type '\" + dataType.type + \"', data: '\" + data + \"'\")\n\t\t\t\t}\n\t\t\t\tvar tiddlerFields = dataType.toTiddlerFieldsArray(data,fallbackTitle);\n\t\t\t\tcallback(tiddlerFields);\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t}\n};\n\nvar importDataTypes = [\n\t{type: \"text/vnd.tiddler\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn parseJSONTiddlers(data,fallbackTitle);\n\t}},\n\t{type: \"URL\", IECompatible: true, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\t// Check for tiddler data URI\n\t\tvar match = decodeURIComponent(data).match(/^data\\:text\\/vnd\\.tiddler,(.*)/i);\n\t\tif(match) {\n\t\t\treturn parseJSONTiddlers(match[1],fallbackTitle);\n\t\t} else {\n\t\t\treturn [{title: fallbackTitle, text: data}]; // As URL string\n\t\t}\n\t}},\n\t{type: \"text/x-moz-url\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\t// Check for tiddler data URI\n\t\tvar match = decodeURIComponent(data).match(/^data\\:text\\/vnd\\.tiddler,(.*)/i);\n\t\tif(match) {\n\t\t\treturn parseJSONTiddlers(match[1],fallbackTitle);\n\t\t} else {\n\t\t\treturn [{title: fallbackTitle, text: data}]; // As URL string\n\t\t}\n\t}},\n\t{type: \"text/html\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"text/plain\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"Text\", IECompatible: true, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"text/uri-list\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}}\n];\n\nfunction parseJSONTiddlers(json,fallbackTitle) {\n\tvar data = JSON.parse(json);\n\tif(!$tw.utils.isArray(data)) {\n\t\tdata = [data];\n\t}\n\tdata.forEach(function(fields) {\n\t\tfields.title = fields.title || fallbackTitle;\n\t});\n\treturn data;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom/http.js": {
            "title": "$:/core/modules/utils/dom/http.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/http.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser HTTP support\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nA quick and dirty HTTP function; to be refactored later. Options are:\n\turl: URL to retrieve\n\theaders: hashmap of headers to send\n\ttype: GET, PUT, POST etc\n\tcallback: function invoked with (err,data,xhr)\n\treturnProp: string name of the property to return as first argument of callback\n*/\nexports.httpRequest = function(options) {\n\tvar type = options.type || \"GET\",\n\t\turl = options.url,\n\t\theaders = options.headers || {accept: \"application/json\"},\n\t\thasHeader = function(targetHeader) {\n\t\t\ttargetHeader = targetHeader.toLowerCase();\n\t\t\tvar result = false;\n\t\t\t$tw.utils.each(headers,function(header,headerTitle,object) {\n\t\t\t\tif(headerTitle.toLowerCase() === targetHeader) {\n\t\t\t\t\tresult = true;\n\t\t\t\t}\n\t\t\t});\n\t\t\treturn result;\n\t\t},\n\t\treturnProp = options.returnProp || \"responseText\",\n\t\trequest = new XMLHttpRequest(),\n\t\tdata = \"\",\n\t\tf,results;\n\t// Massage the data hashmap into a string\n\tif(options.data) {\n\t\tif(typeof options.data === \"string\") { // Already a string\n\t\t\tdata = options.data;\n\t\t} else { // A hashmap of strings\n\t\t\tresults = [];\n\t\t\t$tw.utils.each(options.data,function(dataItem,dataItemTitle) {\n\t\t\t\tresults.push(dataItemTitle + \"=\" + encodeURIComponent(dataItem));\n\t\t\t});\n\t\t\tif(type === \"GET\" || type === \"HEAD\") {\n\t\t\t\turl += \"?\" + results.join(\"&\");\n\t\t\t} else {\n\t\t\t\tdata = results.join(\"&\");\n\t\t\t}\n\t\t}\n\t}\n\t// Set up the state change handler\n\trequest.onreadystatechange = function() {\n\t\tif(this.readyState === 4) {\n\t\t\tif(this.status === 200 || this.status === 201 || this.status === 204) {\n\t\t\t\t// Success!\n\t\t\t\toptions.callback(null,this[returnProp],this);\n\t\t\t\treturn;\n\t\t\t}\n\t\t// Something went wrong\n\t\toptions.callback($tw.language.getString(\"Error/XMLHttpRequest\") + \": \" + this.status,null,this);\n\t\t}\n\t};\n\t// Make the request\n\trequest.open(type,url,true);\n\tif(headers) {\n\t\t$tw.utils.each(headers,function(header,headerTitle,object) {\n\t\t\trequest.setRequestHeader(headerTitle,header);\n\t\t});\n\t}\n\tif(data && !hasHeader(\"Content-Type\")) {\n\t\trequest.setRequestHeader(\"Content-Type\",\"application/x-www-form-urlencoded; charset=UTF-8\");\n\t}\n\tif(!hasHeader(\"X-Requested-With\")) {\n\t\trequest.setRequestHeader(\"X-Requested-With\",\"TiddlyWiki\");\n\t}\n\ttry {\n\t\trequest.send(data);\n\t} catch(e) {\n\t\toptions.callback(e,null,this);\n\t}\n\treturn request;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom/keyboard.js": {
            "title": "$:/core/modules/utils/dom/keyboard.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/keyboard.js\ntype: application/javascript\nmodule-type: utils\n\nKeyboard utilities; now deprecated. Instead, use $tw.keyboardManager\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n[\"parseKeyDescriptor\",\"checkKeyDescriptor\"].forEach(function(method) {\n\texports[method] = function() {\n\t\tif($tw.keyboardManager) {\n\t\t\treturn $tw.keyboardManager[method].apply($tw.keyboardManager,Array.prototype.slice.call(arguments,0));\n\t\t} else {\n\t\t\treturn null\n\t\t}\n\t};\n});\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom/modal.js": {
            "title": "$:/core/modules/utils/dom/modal.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/modal.js\ntype: application/javascript\nmodule-type: utils\n\nModal message mechanism\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\nvar navigator = require(\"$:/core/modules/widgets/navigator.js\");\n\nvar Modal = function(wiki) {\n\tthis.wiki = wiki;\n\tthis.modalCount = 0;\n};\n\n/*\nDisplay a modal dialogue\n\ttitle: Title of tiddler to display\n\toptions: see below\nOptions include:\n\tdownloadLink: Text of a big download link to include\n*/\nModal.prototype.display = function(title,options) {\n\toptions = options || {};\n\tthis.srcDocument = options.variables && (options.variables.rootwindow === \"true\" ||\n\t\t\t\toptions.variables.rootwindow === \"yes\") ? document :\n\t\t\t\t(options.event.event && options.event.event.target ? options.event.event.target.ownerDocument : document);\n\tthis.srcWindow = this.srcDocument.defaultView;\n\tvar self = this,\n\t\trefreshHandler,\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\ttiddler = this.wiki.getTiddler(title);\n\t// Don't do anything if the tiddler doesn't exist\n\tif(!tiddler) {\n\t\treturn;\n\t}\n\t// Create the variables\n\tvar variables = $tw.utils.extend({\n\t\t\tcurrentTiddler: title,\n\t\t\t\"tv-story-list\": (options.event && options.event.widget ? options.event.widget.getVariable(\"tv-story-list\") : \"\"),\n\t\t\t\"tv-history-list\": (options.event && options.event.widget ? options.event.widget.getVariable(\"tv-history-list\") : \"\")\n\t\t},options.variables);\n\n\t// Create the wrapper divs\n\tvar wrapper = this.srcDocument.createElement(\"div\"),\n\t\tmodalBackdrop = this.srcDocument.createElement(\"div\"),\n\t\tmodalWrapper = this.srcDocument.createElement(\"div\"),\n\t\tmodalHeader = this.srcDocument.createElement(\"div\"),\n\t\theaderTitle = this.srcDocument.createElement(\"h3\"),\n\t\tmodalBody = this.srcDocument.createElement(\"div\"),\n\t\tmodalLink = this.srcDocument.createElement(\"a\"),\n\t\tmodalFooter = this.srcDocument.createElement(\"div\"),\n\t\tmodalFooterHelp = this.srcDocument.createElement(\"span\"),\n\t\tmodalFooterButtons = this.srcDocument.createElement(\"span\");\n\t// Up the modal count and adjust the body class\n\tthis.modalCount++;\n\tthis.adjustPageClass();\n\t// Add classes\n\t$tw.utils.addClass(wrapper,\"tc-modal-wrapper\");\n\tif(tiddler.fields && tiddler.fields.class) {\n\t\t$tw.utils.addClass(wrapper,tiddler.fields.class);\n\t}\n\t$tw.utils.addClass(modalBackdrop,\"tc-modal-backdrop\");\n\t$tw.utils.addClass(modalWrapper,\"tc-modal\");\n\t$tw.utils.addClass(modalHeader,\"tc-modal-header\");\n\t$tw.utils.addClass(modalBody,\"tc-modal-body\");\n\t$tw.utils.addClass(modalFooter,\"tc-modal-footer\");\n\t// Join them together\n\twrapper.appendChild(modalBackdrop);\n\twrapper.appendChild(modalWrapper);\n\tmodalHeader.appendChild(headerTitle);\n\tmodalWrapper.appendChild(modalHeader);\n\tmodalWrapper.appendChild(modalBody);\n\tmodalFooter.appendChild(modalFooterHelp);\n\tmodalFooter.appendChild(modalFooterButtons);\n\tmodalWrapper.appendChild(modalFooter);\n\tvar navigatorTree = {\n\t\t\"type\": \"navigator\",\n\t\t\"attributes\": {\n\t\t\t\"story\": {\n\t\t\t\t\"name\": \"story\",\n\t\t\t\t\"type\": \"string\",\n\t\t\t\t\"value\": variables[\"tv-story-list\"]\n\t\t\t},\n\t\t\t\"history\": {\n\t\t\t\t\"name\": \"history\",\n\t\t\t\t\"type\": \"string\",\n\t\t\t\t\"value\": variables[\"tv-history-list\"]\n\t\t\t}\n\t\t},\n\t\t\"tag\": \"$navigator\",\n\t\t\"isBlock\": true,\n\t\t\"children\": []\n\t};\n\tvar navigatorWidgetNode = new navigator.navigator(navigatorTree, {\n\t\twiki: this.wiki,\n\t\tdocument : this.srcDocument,\n\t\tparentWidget: $tw.rootWidget\n\t});\n\tnavigatorWidgetNode.render(modalBody,null);\n\t\n\t// Render the title of the message\n\tvar headerWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tfield: \"subtitle\",\n\t\tmode: \"inline\",\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\tattributes: {\n\t\t\t\ttext: {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: title\n\t\t}}}],\n\t\tparentWidget: navigatorWidgetNode,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\theaderWidgetNode.render(headerTitle,null);\n\t// Render the body of the message\n\tvar bodyWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tparentWidget: navigatorWidgetNode,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\n\tbodyWidgetNode.render(modalBody,null);\n\t// Setup the link if present\n\tif(options.downloadLink) {\n\t\tmodalLink.href = options.downloadLink;\n\t\tmodalLink.appendChild(this.srcDocument.createTextNode(\"Right-click to save changes\"));\n\t\tmodalBody.appendChild(modalLink);\n\t}\n\t// Render the footer of the message\n\tif(tiddler.fields && tiddler.fields.help) {\n\t\tvar link = this.srcDocument.createElement(\"a\");\n\t\tlink.setAttribute(\"href\",tiddler.fields.help);\n\t\tlink.setAttribute(\"target\",\"_blank\");\n\t\tlink.setAttribute(\"rel\",\"noopener noreferrer\");\n\t\tlink.appendChild(this.srcDocument.createTextNode(\"Help\"));\n\t\tmodalFooterHelp.appendChild(link);\n\t\tmodalFooterHelp.style.float = \"left\";\n\t}\n\tvar footerWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tfield: \"footer\",\n\t\tmode: \"inline\",\n\t\tchildren: [{\n\t\t\ttype: \"button\",\n\t\t\tattributes: {\n\t\t\t\tmessage: {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: \"tm-close-tiddler\"\n\t\t\t\t}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\tattributes: {\n\t\t\t\t\ttext: {\n\t\t\t\t\t\ttype: \"string\",\n\t\t\t\t\t\tvalue: $tw.language.getString(\"Buttons/Close/Caption\")\n\t\t\t}}}\n\t\t]}],\n\t\tparentWidget: navigatorWidgetNode,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\tfooterWidgetNode.render(modalFooterButtons,null);\n\t// Set up the refresh handler\n\trefreshHandler = function(changes) {\n\t\theaderWidgetNode.refresh(changes,modalHeader,null);\n\t\tbodyWidgetNode.refresh(changes,modalBody,null);\n\t\tfooterWidgetNode.refresh(changes,modalFooterButtons,null);\n\t};\n\tthis.wiki.addEventListener(\"change\",refreshHandler);\n\t// Add the close event handler\n\tvar closeHandler = function(event) {\n\t\t// Remove our refresh handler\n\t\tself.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t// Decrease the modal count and adjust the body class\n\t\tself.modalCount--;\n\t\tself.adjustPageClass();\n\t\t// Force layout and animate the modal message away\n\t\t$tw.utils.forceLayout(modalBackdrop);\n\t\t$tw.utils.forceLayout(modalWrapper);\n\t\t$tw.utils.setStyle(modalBackdrop,[\n\t\t\t{opacity: \"0\"}\n\t\t]);\n\t\t$tw.utils.setStyle(modalWrapper,[\n\t\t\t{transform: \"translateY(\" + self.srcWindow.innerHeight + \"px)\"}\n\t\t]);\n\t\t// Set up an event for the transition end\n\t\tself.srcWindow.setTimeout(function() {\n\t\t\tif(wrapper.parentNode) {\n\t\t\t\t// Remove the modal message from the DOM\n\t\t\t\tself.srcDocument.body.removeChild(wrapper);\n\t\t\t}\n\t\t},duration);\n\t\t// Don't let anyone else handle the tm-close-tiddler message\n\t\treturn false;\n\t};\n\theaderWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\tbodyWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\tfooterWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\t// Set the initial styles for the message\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{opacity: \"0\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transformOrigin: \"0% 0%\"},\n\t\t{transform: \"translateY(\" + (-this.srcWindow.innerHeight) + \"px)\"}\n\t]);\n\t// Put the message into the document\n\tthis.srcDocument.body.appendChild(wrapper);\n\t// Set up animation for the styles\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{transition: \"opacity \" + duration + \"ms ease-out\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out\"}\n\t]);\n\t// Force layout\n\t$tw.utils.forceLayout(modalBackdrop);\n\t$tw.utils.forceLayout(modalWrapper);\n\t// Set final animated styles\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{opacity: \"0.7\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transform: \"translateY(0px)\"}\n\t]);\n};\n\nModal.prototype.adjustPageClass = function() {\n\tvar windowContainer = $tw.pageContainer ? ($tw.pageContainer === this.srcDocument.body.firstChild ? $tw.pageContainer : this.srcDocument.body.firstChild) : null;\n\tif(windowContainer) {\n\t\t$tw.utils.toggleClass(windowContainer,\"tc-modal-displayed\",this.modalCount > 0);\n\t}\n};\n\nexports.Modal = Modal;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom/notifier.js": {
            "title": "$:/core/modules/utils/dom/notifier.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/notifier.js\ntype: application/javascript\nmodule-type: utils\n\nNotifier mechanism\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar Notifier = function(wiki) {\n\tthis.wiki = wiki;\n};\n\n/*\nDisplay a notification\n\ttitle: Title of tiddler containing the notification text\n\toptions: see below\nOptions include:\n*/\nNotifier.prototype.display = function(title,options) {\n\toptions = options || {};\n\t// Create the wrapper divs\n\tvar self = this,\n\t\tnotification = document.createElement(\"div\"),\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\trefreshHandler;\n\t// Don't do anything if the tiddler doesn't exist\n\tif(!tiddler) {\n\t\treturn;\n\t}\n\t// Add classes\n\t$tw.utils.addClass(notification,\"tc-notification\");\n\t// Create the variables\n\tvar variables = $tw.utils.extend({currentTiddler: title},options.variables);\n\t// Render the body of the notification\n\tvar widgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: document,\n\t\tvariables: variables,\n\t\timportPageMacros: true});\n\twidgetNode.render(notification,null);\n\trefreshHandler = function(changes) {\n\t\twidgetNode.refresh(changes,notification,null);\n\t};\n\tthis.wiki.addEventListener(\"change\",refreshHandler);\n\t// Set the initial styles for the notification\n\t$tw.utils.setStyle(notification,[\n\t\t{opacity: \"0\"},\n\t\t{transformOrigin: \"0% 0%\"},\n\t\t{transform: \"translateY(\" + (-window.innerHeight) + \"px)\"},\n\t\t{transition: \"opacity \" + duration + \"ms ease-out, \" + $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out\"}\n\t]);\n\t// Add the notification to the DOM\n\tdocument.body.appendChild(notification);\n\t// Force layout\n\t$tw.utils.forceLayout(notification);\n\t// Set final animated styles\n\t$tw.utils.setStyle(notification,[\n\t\t{opacity: \"1.0\"},\n\t\t{transform: \"translateY(0px)\"}\n\t]);\n\t// Set a timer to remove the notification\n\twindow.setTimeout(function() {\n\t\t// Remove our change event handler\n\t\tself.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t// Force layout and animate the notification away\n\t\t$tw.utils.forceLayout(notification);\n\t\t$tw.utils.setStyle(notification,[\n\t\t\t{opacity: \"0.0\"},\n\t\t\t{transform: \"translateX(\" + (notification.offsetWidth) + \"px)\"}\n\t\t]);\n\t\t// Remove the modal message from the DOM once the transition ends\n\t\tsetTimeout(function() {\n\t\t\tif(notification.parentNode) {\n\t\t\t\tdocument.body.removeChild(notification);\n\t\t\t}\n\t\t},duration);\n\t},$tw.config.preferences.notificationDuration);\n};\n\nexports.Notifier = Notifier;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom/popup.js": {
            "title": "$:/core/modules/utils/dom/popup.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/popup.js\ntype: application/javascript\nmodule-type: utils\n\nModule that creates a $tw.utils.Popup object prototype that manages popups in the browser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreates a Popup object with these options:\n\trootElement: the DOM element to which the popup zapper should be attached\n*/\nvar Popup = function(options) {\n\toptions = options || {};\n\tthis.rootElement = options.rootElement || document.documentElement;\n\tthis.popups = []; // Array of {title:,wiki:,domNode:} objects\n};\n\n/*\nTrigger a popup open or closed. Parameters are in a hashmap:\n\ttitle: title of the tiddler where the popup details are stored\n\tdomNode: dom node to which the popup will be positioned (one of domNode or domNodeRect is required)\n\tdomNodeRect: rectangle to which the popup will be positioned\n\twiki: wiki\n\tforce: if specified, forces the popup state to true or false (instead of toggling it)\n\tfloating: if true, skips registering the popup, meaning that it will need manually clearing\n*/\nPopup.prototype.triggerPopup = function(options) {\n\t// Check if this popup is already active\n\tvar index = this.findPopup(options.title);\n\t// Compute the new state\n\tvar state = index === -1;\n\tif(options.force !== undefined) {\n\t\tstate = options.force;\n\t}\n\t// Show or cancel the popup according to the new state\n\tif(state) {\n\t\tthis.show(options);\n\t} else {\n\t\tthis.cancel(index);\n\t}\n};\n\nPopup.prototype.findPopup = function(title) {\n\tvar index = -1;\n\tfor(var t=0; t<this.popups.length; t++) {\n\t\tif(this.popups[t].title === title) {\n\t\t\tindex = t;\n\t\t}\n\t}\n\treturn index;\n};\n\nPopup.prototype.handleEvent = function(event) {\n\tif(event.type === \"click\") {\n\t\t// Find out what was clicked on\n\t\tvar info = this.popupInfo(event.target),\n\t\t\tcancelLevel = info.popupLevel - 1;\n\t\t// Don't remove the level that was clicked on if we clicked on a handle\n\t\tif(info.isHandle) {\n\t\t\tcancelLevel++;\n\t\t}\n\t\t// Cancel\n\t\tthis.cancel(cancelLevel);\n\t}\n};\n\n/*\nFind the popup level containing a DOM node. Returns:\npopupLevel: count of the number of nested popups containing the specified element\nisHandle: true if the specified element is within a popup handle\n*/\nPopup.prototype.popupInfo = function(domNode) {\n\tvar isHandle = false,\n\t\tpopupCount = 0,\n\t\tnode = domNode;\n\t// First check ancestors to see if we're within a popup handle\n\twhile(node) {\n\t\tif($tw.utils.hasClass(node,\"tc-popup-handle\")) {\n\t\t\tisHandle = true;\n\t\t\tpopupCount++;\n\t\t}\n\t\tif($tw.utils.hasClass(node,\"tc-popup-keep\")) {\n\t\t\tisHandle = true;\n\t\t}\n\t\tnode = node.parentNode;\n\t}\n\t// Then count the number of ancestor popups\n\tnode = domNode;\n\twhile(node) {\n\t\tif($tw.utils.hasClass(node,\"tc-popup\")) {\n\t\t\tpopupCount++;\n\t\t}\n\t\tnode = node.parentNode;\n\t}\n\tvar info = {\n\t\tpopupLevel: popupCount,\n\t\tisHandle: isHandle\n\t};\n\treturn info;\n};\n\n/*\nDisplay a popup by adding it to the stack\n*/\nPopup.prototype.show = function(options) {\n\t// Find out what was clicked on\n\tvar info = this.popupInfo(options.domNode);\n\t// Cancel any higher level popups\n\tthis.cancel(info.popupLevel);\n\n\t// Store the popup details if not already there\n\tif(!options.floating && this.findPopup(options.title) === -1) {\n\t\tthis.popups.push({\n\t\t\ttitle: options.title,\n\t\t\twiki: options.wiki,\n\t\t\tdomNode: options.domNode,\n\t\t\tnoStateReference: options.noStateReference\n\t\t});\n\t}\n\t// Set the state tiddler\n\tvar rect;\n\tif(options.domNodeRect) {\n\t\trect = options.domNodeRect;\n\t} else {\n\t\trect = {\n\t\t\tleft: options.domNode.offsetLeft,\n\t\t\ttop: options.domNode.offsetTop,\n\t\t\twidth: options.domNode.offsetWidth,\n\t\t\theight: options.domNode.offsetHeight\n\t\t};\n\t}\n\tvar popupRect = \"(\" + rect.left + \",\" + rect.top + \",\" + \n\t\t\t\trect.width + \",\" + rect.height + \")\";\n\tif(options.noStateReference) {\n\t\toptions.wiki.setText(options.title,\"text\",undefined,popupRect);\n\t} else {\n\t\toptions.wiki.setTextReference(options.title,popupRect);\n\t}\n\t// Add the click handler if we have any popups\n\tif(this.popups.length > 0) {\n\t\tthis.rootElement.addEventListener(\"click\",this,true);\t\t\n\t}\n};\n\n/*\nCancel all popups at or above a specified level or DOM node\nlevel: popup level to cancel (0 cancels all popups)\n*/\nPopup.prototype.cancel = function(level) {\n\tvar numPopups = this.popups.length;\n\tlevel = Math.max(0,Math.min(level,numPopups));\n\tfor(var t=level; t<numPopups; t++) {\n\t\tvar popup = this.popups.pop();\n\t\tif(popup.title) {\n\t\t\tif(popup.noStateReference) {\n\t\t\t\tpopup.wiki.deleteTiddler(popup.title);\n\t\t\t} else {\n\t\t\t\tpopup.wiki.deleteTiddler($tw.utils.parseTextReference(popup.title).title);\n        \t\t}\n\t\t}\n\t}\n\tif(this.popups.length === 0) {\n\t\tthis.rootElement.removeEventListener(\"click\",this,false);\n\t}\n};\n\n/*\nReturns true if the specified title and text identifies an active popup\n*/\nPopup.prototype.readPopupState = function(text) {\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/;\n\treturn popupLocationRegExp.test(text);\n};\n\nexports.Popup = Popup;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/dom/scroller.js": {
            "title": "$:/core/modules/utils/dom/scroller.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/dom/scroller.js\ntype: application/javascript\nmodule-type: utils\n\nModule that creates a $tw.utils.Scroller object prototype that manages scrolling in the browser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nEvent handler for when the `tm-scroll` event hits the document body\n*/\nvar PageScroller = function() {\n\tthis.idRequestFrame = null;\n\tthis.requestAnimationFrame = window.requestAnimationFrame ||\n\t\twindow.webkitRequestAnimationFrame ||\n\t\twindow.mozRequestAnimationFrame ||\n\t\tfunction(callback) {\n\t\t\treturn window.setTimeout(callback, 1000/60);\n\t\t};\n\tthis.cancelAnimationFrame = window.cancelAnimationFrame ||\n\t\twindow.webkitCancelAnimationFrame ||\n\t\twindow.webkitCancelRequestAnimationFrame ||\n\t\twindow.mozCancelAnimationFrame ||\n\t\twindow.mozCancelRequestAnimationFrame ||\n\t\tfunction(id) {\n\t\t\twindow.clearTimeout(id);\n\t\t};\n};\n\nPageScroller.prototype.isScrolling = function() {\n\treturn this.idRequestFrame !== null;\n}\n\nPageScroller.prototype.cancelScroll = function(srcWindow) {\n\tif(this.idRequestFrame) {\n\t\tthis.cancelAnimationFrame.call(srcWindow,this.idRequestFrame);\n\t\tthis.idRequestFrame = null;\n\t}\n};\n\n/*\nHandle an event\n*/\nPageScroller.prototype.handleEvent = function(event) {\n\tif(event.type === \"tm-scroll\") {\n\t\tif(event.paramObject && event.paramObject.selector) {\n\t\t\tthis.scrollSelectorIntoView(null,event.paramObject.selector);\n\t\t} else {\n\t\t\tthis.scrollIntoView(event.target);\t\t\t\n\t\t}\n\t\treturn false; // Event was handled\n\t}\n\treturn true;\n};\n\n/*\nHandle a scroll event hitting the page document\n*/\nPageScroller.prototype.scrollIntoView = function(element,callback) {\n\tvar self = this,\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t    srcWindow = element ? element.ownerDocument.defaultView : window;\n\t// Now get ready to scroll the body\n\tthis.cancelScroll(srcWindow);\n\tthis.startTime = Date.now();\n\t// Get the height of any position:fixed toolbars\n\tvar toolbar = srcWindow.document.querySelector(\".tc-adjust-top-of-scroll\"),\n\t\toffset = 0;\n\tif(toolbar) {\n\t\toffset = toolbar.offsetHeight;\n\t}\n\t// Get the client bounds of the element and adjust by the scroll position\n\tvar getBounds = function() {\n\t\t\tvar clientBounds = typeof callback === 'function' ? callback() : element.getBoundingClientRect(),\n\t\t\t\tscrollPosition = $tw.utils.getScrollPosition(srcWindow);\n\t\t\treturn {\n\t\t\t\tleft: clientBounds.left + scrollPosition.x,\n\t\t\t\ttop: clientBounds.top + scrollPosition.y - offset,\n\t\t\t\twidth: clientBounds.width,\n\t\t\t\theight: clientBounds.height\n\t\t\t};\n\t\t},\n\t\t// We'll consider the horizontal and vertical scroll directions separately via this function\n\t\t// targetPos/targetSize - position and size of the target element\n\t\t// currentPos/currentSize - position and size of the current scroll viewport\n\t\t// returns: new position of the scroll viewport\n\t\tgetEndPos = function(targetPos,targetSize,currentPos,currentSize) {\n\t\t\tvar newPos = targetPos;\n\t\t\t// If we are scrolling within 50 pixels of the top/left then snap to zero\n\t\t\tif(newPos < 50) {\n\t\t\t\tnewPos = 0;\n\t\t\t}\n\t\t\treturn newPos;\n\t\t},\n\t\tdrawFrame = function drawFrame() {\n\t\t\tvar t;\n\t\t\tif(duration <= 0) {\n\t\t\t\tt = 1;\n\t\t\t} else {\n\t\t\t\tt = ((Date.now()) - self.startTime) / duration;\t\n\t\t\t}\n\t\t\tif(t >= 1) {\n\t\t\t\tself.cancelScroll(srcWindow);\n\t\t\t\tt = 1;\n\t\t\t}\n\t\t\tt = $tw.utils.slowInSlowOut(t);\n\t\t\tvar scrollPosition = $tw.utils.getScrollPosition(srcWindow),\n\t\t\t\tbounds = getBounds(),\n\t\t\t\tendX = getEndPos(bounds.left,bounds.width,scrollPosition.x,srcWindow.innerWidth),\n\t\t\t\tendY = getEndPos(bounds.top,bounds.height,scrollPosition.y,srcWindow.innerHeight);\n\t\t\tsrcWindow.scrollTo(scrollPosition.x + (endX - scrollPosition.x) * t,scrollPosition.y + (endY - scrollPosition.y) * t);\n\t\t\tif(t < 1) {\n\t\t\t\tself.idRequestFrame = self.requestAnimationFrame.call(srcWindow,drawFrame);\n\t\t\t}\n\t\t};\n\tdrawFrame();\n};\n\nPageScroller.prototype.scrollSelectorIntoView = function(baseElement,selector,callback) {\n\tbaseElement = baseElement || document.body;\n\tvar element = baseElement.querySelector(selector);\n\tif(element) {\n\t\tthis.scrollIntoView(element,callback);\t\t\n\t}\n};\n\nexports.PageScroller = PageScroller;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/edition-info.js": {
            "title": "$:/core/modules/utils/edition-info.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/edition-info.js\ntype: application/javascript\nmodule-type: utils-node\n\nInformation about the available editions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar fs = require(\"fs\"),\n\tpath = require(\"path\");\n\nvar editionInfo;\n\nexports.getEditionInfo = function() {\n\tif(!editionInfo) {\n\t\t// Enumerate the edition paths\n\t\tvar editionPaths = $tw.getLibraryItemSearchPaths($tw.config.editionsPath,$tw.config.editionsEnvVar);\n\t\teditionInfo = {};\n\t\tfor(var editionIndex=0; editionIndex<editionPaths.length; editionIndex++) {\n\t\t\tvar editionPath = editionPaths[editionIndex];\n\t\t\t// Enumerate the folders\n\t\t\tvar entries = fs.readdirSync(editionPath);\n\t\t\tfor(var entryIndex=0; entryIndex<entries.length; entryIndex++) {\n\t\t\t\tvar entry = entries[entryIndex];\n\t\t\t\t// Check if directories have a valid tiddlywiki.info\n\t\t\t\tif(!editionInfo[entry] && $tw.utils.isDirectory(path.resolve(editionPath,entry))) {\n\t\t\t\t\tvar info;\n\t\t\t\t\ttry {\n\t\t\t\t\t\tinfo = JSON.parse(fs.readFileSync(path.resolve(editionPath,entry,\"tiddlywiki.info\"),\"utf8\"));\n\t\t\t\t\t} catch(ex) {\n\t\t\t\t\t}\n\t\t\t\t\tif(info) {\n\t\t\t\t\t\teditionInfo[entry] = info;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treturn editionInfo;\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils-node"
        },
        "$:/core/modules/utils/fakedom.js": {
            "title": "$:/core/modules/utils/fakedom.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/fakedom.js\ntype: application/javascript\nmodule-type: global\n\nA barebones implementation of DOM interfaces needed by the rendering mechanism.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Sequence number used to enable us to track objects for testing\nvar sequenceNumber = null;\n\nvar bumpSequenceNumber = function(object) {\n\tif(sequenceNumber !== null) {\n\t\tobject.sequenceNumber = sequenceNumber++;\n\t}\n};\n\nvar TW_Node = function (){\n\tthrow TypeError(\"Illegal constructor\");\n};\n\nObject.defineProperty(TW_Node.prototype, 'ELEMENT_NODE', {\n\tget: function() {\n\t\treturn 1;\n\t}\n});\n\nObject.defineProperty(TW_Node.prototype, 'TEXT_NODE', {\n\tget: function() {\n\t\treturn 3;\n\t}\n});\n\nvar TW_TextNode = function(text) {\n\tbumpSequenceNumber(this);\n\tthis.textContent = text + \"\";\n};\n\nTW_TextNode.prototype = Object.create(TW_Node.prototype);\n\nObject.defineProperty(TW_TextNode.prototype, \"nodeType\", {\n\tget: function() {\n\t\treturn this.TEXT_NODE;\n\t}\n});\n\nObject.defineProperty(TW_TextNode.prototype, \"formattedTextContent\", {\n\tget: function() {\n\t\treturn this.textContent.replace(/(\\r?\\n)/g,\"\");\n\t}\n});\n\nvar TW_Element = function(tag,namespace) {\n\tbumpSequenceNumber(this);\n\tthis.isTiddlyWikiFakeDom = true;\n\tthis.tag = tag;\n\tthis.attributes = {};\n\tthis.isRaw = false;\n\tthis.children = [];\n\tthis._style = {};\n\tthis.namespaceURI = namespace || \"http://www.w3.org/1999/xhtml\";\n};\n\nTW_Element.prototype = Object.create(TW_Node.prototype);\n\nObject.defineProperty(TW_Element.prototype, \"style\", {\n\tget: function() {\n\t\treturn this._style;\n\t},\n\tset: function(str) {\n\t\tvar self = this;\n\t\tstr = str || \"\";\n\t\t$tw.utils.each(str.split(\";\"),function(declaration) {\n\t\t\tvar parts = declaration.split(\":\"),\n\t\t\t\tname = $tw.utils.trim(parts[0]),\n\t\t\t\tvalue = $tw.utils.trim(parts[1]);\n\t\t\tif(name && value) {\n\t\t\t\tself._style[$tw.utils.convertStyleNameToPropertyName(name)] = value;\n\t\t\t}\n\t\t});\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"nodeType\", {\n\tget: function() {\n\t\treturn this.ELEMENT_NODE;\n\t}\n});\n\nTW_Element.prototype.getAttribute = function(name) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot getAttribute on a raw TW_Element\";\n\t}\n\treturn this.attributes[name];\n};\n\nTW_Element.prototype.setAttribute = function(name,value) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot setAttribute on a raw TW_Element\";\n\t}\n\tthis.attributes[name] = value + \"\";\n};\n\nTW_Element.prototype.setAttributeNS = function(namespace,name,value) {\n\tthis.setAttribute(name,value);\n};\n\nTW_Element.prototype.removeAttribute = function(name) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot removeAttribute on a raw TW_Element\";\n\t}\n\tif($tw.utils.hop(this.attributes,name)) {\n\t\tdelete this.attributes[name];\n\t}\n};\n\nTW_Element.prototype.appendChild = function(node) {\n\tthis.children.push(node);\n\tnode.parentNode = this;\n};\n\nTW_Element.prototype.insertBefore = function(node,nextSibling) {\n\tif(nextSibling) {\n\t\tvar p = this.children.indexOf(nextSibling);\n\t\tif(p !== -1) {\n\t\t\tthis.children.splice(p,0,node);\n\t\t\tnode.parentNode = this;\n\t\t} else {\n\t\t\tthis.appendChild(node);\n\t\t}\n\t} else {\n\t\tthis.appendChild(node);\n\t}\n};\n\nTW_Element.prototype.removeChild = function(node) {\n\tvar p = this.children.indexOf(node);\n\tif(p !== -1) {\n\t\tthis.children.splice(p,1);\n\t}\n};\n\nTW_Element.prototype.hasChildNodes = function() {\n\treturn !!this.children.length;\n};\n\nObject.defineProperty(TW_Element.prototype, \"childNodes\", {\n\tget: function() {\n\t\treturn this.children;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"firstChild\", {\n\tget: function() {\n\t\treturn this.children[0];\n\t}\n});\n\nTW_Element.prototype.addEventListener = function(type,listener,useCapture) {\n\t// Do nothing\n};\n\nObject.defineProperty(TW_Element.prototype, \"tagName\", {\n\tget: function() {\n\t\treturn this.tag || \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"className\", {\n\tget: function() {\n\t\treturn this.attributes[\"class\"] || \"\";\n\t},\n\tset: function(value) {\n\t\tthis.attributes[\"class\"] = value + \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"value\", {\n\tget: function() {\n\t\treturn this.attributes.value || \"\";\n\t},\n\tset: function(value) {\n\t\tthis.attributes.value = value + \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"outerHTML\", {\n\tget: function() {\n\t\tvar output = [],attr,a,v;\n\t\toutput.push(\"<\",this.tag);\n\t\tif(this.attributes) {\n\t\t\tattr = [];\n\t\t\tfor(a in this.attributes) {\n\t\t\t\tattr.push(a);\n\t\t\t}\n\t\t\tattr.sort();\n\t\t\tfor(a=0; a<attr.length; a++) {\n\t\t\t\tv = this.attributes[attr[a]];\n\t\t\t\tif(v !== undefined) {\n\t\t\t\t\toutput.push(\" \",attr[a],\"=\\\"\",$tw.utils.htmlEncode(v),\"\\\"\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif(this._style) {\n\t\t\tvar style = [];\n\t\t\tfor(var s in this._style) {\n\t\t\t\tstyle.push($tw.utils.convertPropertyNameToStyleName(s) + \":\" + this._style[s] + \";\");\n\t\t\t}\n\t\t\tif(style.length > 0) {\n\t\t\t\toutput.push(\" style=\\\"\",style.join(\"\"),\"\\\"\");\n\t\t\t}\n\t\t}\n\t\toutput.push(\">\");\n\t\tif($tw.config.htmlVoidElements.indexOf(this.tag) === -1) {\n\t\t\toutput.push(this.innerHTML);\n\t\t\toutput.push(\"</\",this.tag,\">\");\n\t\t}\n\t\treturn output.join(\"\");\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"innerHTML\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\treturn this.rawHTML;\n\t\t} else {\n\t\t\tvar b = [];\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tif(node instanceof TW_Element) {\n\t\t\t\t\tb.push(node.outerHTML);\n\t\t\t\t} else if(node instanceof TW_TextNode) {\n\t\t\t\t\tb.push($tw.utils.htmlEncode(node.textContent));\n\t\t\t\t}\n\t\t\t});\n\t\t\treturn b.join(\"\");\n\t\t}\n\t},\n\tset: function(value) {\n\t\tthis.isRaw = true;\n\t\tthis.rawHTML = value;\n\t\tthis.rawTextContent = null;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"textInnerHTML\", {\n\tset: function(value) {\n\t\tif(this.isRaw) {\n\t\t\tthis.rawTextContent = value;\n\t\t} else {\n\t\t\tthrow \"Cannot set textInnerHTML of a non-raw TW_Element\";\n\t\t}\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"textContent\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\tif(this.rawTextContent === null) {\n\t\t\t\treturn \"\";\n\t\t\t} else {\n\t\t\t\treturn this.rawTextContent;\n\t\t\t}\n\t\t} else {\n\t\t\tvar b = [];\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tb.push(node.textContent);\n\t\t\t});\n\t\t\treturn b.join(\"\");\n\t\t}\n\t},\n\tset: function(value) {\n\t\tthis.children = [new TW_TextNode(value)];\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"formattedTextContent\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\treturn \"\";\n\t\t} else {\n\t\t\tvar b = [],\n\t\t\t\tisBlock = $tw.config.htmlBlockElements.indexOf(this.tag) !== -1;\n\t\t\tif(isBlock) {\n\t\t\t\tb.push(\"\\n\");\n\t\t\t}\n\t\t\tif(this.tag === \"li\") {\n\t\t\t\tb.push(\"* \");\n\t\t\t}\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tb.push(node.formattedTextContent);\n\t\t\t});\n\t\t\tif(isBlock) {\n\t\t\t\tb.push(\"\\n\");\n\t\t\t}\n\t\t\treturn b.join(\"\");\n\t\t}\n\t}\n});\n\nvar document = {\n\tsetSequenceNumber: function(value) {\n\t\tsequenceNumber = value;\n\t},\n\tcreateElementNS: function(namespace,tag) {\n\t\treturn new TW_Element(tag,namespace);\n\t},\n\tcreateElement: function(tag) {\n\t\treturn new TW_Element(tag);\n\t},\n\tcreateTextNode: function(text) {\n\t\treturn new TW_TextNode(text);\n\t},\n\tcompatMode: \"CSS1Compat\", // For KaTeX to know that we're not a browser in quirks mode\n\tisTiddlyWikiFakeDom: true\n};\n\nexports.fakeDocument = document;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/utils/filesystem.js": {
            "title": "$:/core/modules/utils/filesystem.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/filesystem.js\ntype: application/javascript\nmodule-type: utils-node\n\nFile system utilities\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar fs = require(\"fs\"),\n\tpath = require(\"path\");\n\n/*\nReturn the subdirectories of a path\n*/\nexports.getSubdirectories = function(dirPath) {\n\tif(!$tw.utils.isDirectory(dirPath)) {\n\t\treturn null;\n\t}\n\tvar subdirs = [];\n\t$tw.utils.each(fs.readdirSync(dirPath),function(item) {\n\t\tif($tw.utils.isDirectory(path.resolve(dirPath,item))) {\n\t\t\tsubdirs.push(item);\n\t\t}\n\t});\n\treturn subdirs;\n}\n\n/*\nRecursively (and synchronously) copy a directory and all its content\n*/\nexports.copyDirectory = function(srcPath,dstPath) {\n\t// Remove any trailing path separators\n\tsrcPath = path.resolve($tw.utils.removeTrailingSeparator(srcPath));\n\tdstPath = path.resolve($tw.utils.removeTrailingSeparator(dstPath));\n\t// Check that neither director is within the other\n\tif(srcPath.substring(0,dstPath.length) === dstPath || dstPath.substring(0,srcPath.length) === srcPath) {\n\t\treturn \"Cannot copy nested directories\";\n\t}\n\t// Create the destination directory\n\tvar err = $tw.utils.createDirectory(dstPath);\n\tif(err) {\n\t\treturn err;\n\t}\n\t// Function to copy a folder full of files\n\tvar copy = function(srcPath,dstPath) {\n\t\tvar srcStats = fs.lstatSync(srcPath),\n\t\t\tdstExists = fs.existsSync(dstPath);\n\t\tif(srcStats.isFile()) {\n\t\t\t$tw.utils.copyFile(srcPath,dstPath);\n\t\t} else if(srcStats.isDirectory()) {\n\t\t\tvar items = fs.readdirSync(srcPath);\n\t\t\tfor(var t=0; t<items.length; t++) {\n\t\t\t\tvar item = items[t],\n\t\t\t\t\terr = copy(srcPath + path.sep + item,dstPath + path.sep + item);\n\t\t\t\tif(err) {\n\t\t\t\t\treturn err;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t};\n\tcopy(srcPath,dstPath);\n\treturn null;\n};\n\n/*\nCopy a file\n*/\nvar FILE_BUFFER_LENGTH = 64 * 1024,\n\tfileBuffer;\n\nexports.copyFile = function(srcPath,dstPath) {\n\t// Create buffer if required\n\tif(!fileBuffer) {\n\t\tfileBuffer = Buffer.alloc(FILE_BUFFER_LENGTH);\n\t}\n\t// Create any directories in the destination\n\t$tw.utils.createDirectory(path.dirname(dstPath));\n\t// Copy the file\n\tvar srcFile = fs.openSync(srcPath,\"r\"),\n\t\tdstFile = fs.openSync(dstPath,\"w\"),\n\t\tbytesRead = 1,\n\t\tpos = 0;\n\twhile (bytesRead > 0) {\n\t\tbytesRead = fs.readSync(srcFile,fileBuffer,0,FILE_BUFFER_LENGTH,pos);\n\t\tfs.writeSync(dstFile,fileBuffer,0,bytesRead);\n\t\tpos += bytesRead;\n\t}\n\tfs.closeSync(srcFile);\n\tfs.closeSync(dstFile);\n\treturn null;\n};\n\n/*\nRemove trailing path separator\n*/\nexports.removeTrailingSeparator = function(dirPath) {\n\tvar len = dirPath.length;\n\tif(dirPath.charAt(len-1) === path.sep) {\n\t\tdirPath = dirPath.substr(0,len-1);\n\t}\n\treturn dirPath;\n};\n\n/*\nRecursively create a directory\n*/\nexports.createDirectory = function(dirPath) {\n\tif(dirPath.substr(dirPath.length-1,1) !== path.sep) {\n\t\tdirPath = dirPath + path.sep;\n\t}\n\tvar pos = 1;\n\tpos = dirPath.indexOf(path.sep,pos);\n\twhile(pos !== -1) {\n\t\tvar subDirPath = dirPath.substr(0,pos);\n\t\tif(!$tw.utils.isDirectory(subDirPath)) {\n\t\t\ttry {\n\t\t\t\tfs.mkdirSync(subDirPath);\n\t\t\t} catch(e) {\n\t\t\t\treturn \"Error creating directory '\" + subDirPath + \"'\";\n\t\t\t}\n\t\t}\n\t\tpos = dirPath.indexOf(path.sep,pos + 1);\n\t}\n\treturn null;\n};\n\n/*\nRecursively create directories needed to contain a specified file\n*/\nexports.createFileDirectories = function(filePath) {\n\treturn $tw.utils.createDirectory(path.dirname(filePath));\n};\n\n/*\nRecursively delete a directory\n*/\nexports.deleteDirectory = function(dirPath) {\n\tif(fs.existsSync(dirPath)) {\n\t\tvar entries = fs.readdirSync(dirPath);\n\t\tfor(var entryIndex=0; entryIndex<entries.length; entryIndex++) {\n\t\t\tvar currPath = dirPath + path.sep + entries[entryIndex];\n\t\t\tif(fs.lstatSync(currPath).isDirectory()) {\n\t\t\t\t$tw.utils.deleteDirectory(currPath);\n\t\t\t} else {\n\t\t\t\tfs.unlinkSync(currPath);\n\t\t\t}\n\t\t}\n\tfs.rmdirSync(dirPath);\n\t}\n\treturn null;\n};\n\n/*\nCheck if a path identifies a directory\n*/\nexports.isDirectory = function(dirPath) {\n\treturn fs.existsSync(dirPath) && fs.statSync(dirPath).isDirectory();\n};\n\n/*\nCheck if a path identifies a directory that is empty\n*/\nexports.isDirectoryEmpty = function(dirPath) {\n\tif(!$tw.utils.isDirectory(dirPath)) {\n\t\treturn false;\n\t}\n\tvar files = fs.readdirSync(dirPath),\n\t\tempty = true;\n\t$tw.utils.each(files,function(file,index) {\n\t\tif(file.charAt(0) !== \".\") {\n\t\t\tempty = false;\n\t\t}\n\t});\n\treturn empty;\n};\n\n/*\nRecursively delete a tree of empty directories\n*/\nexports.deleteEmptyDirs = function(dirpath,callback) {\n\tvar self = this;\n\tfs.readdir(dirpath,function(err,files) {\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\tif(files.length > 0) {\n\t\t\treturn callback(null);\n\t\t}\n\t\tfs.rmdir(dirpath,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tself.deleteEmptyDirs(path.dirname(dirpath),callback);\n\t\t});\n\t});\n};\n\n/*\nCreate a fileInfo object for saving a tiddler:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file on disk (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\n\tisEditableFile: true if the tiddler was loaded via non-standard options & marked editable\nOptions include:\n\tdirectory: absolute path of root directory to which we are saving\n\tpathFilters: optional array of filters to be used to generate the base path\n\textFilters: optional array of filters to be used to generate the base path\n\twiki: optional wiki for evaluating the pathFilters,\n\tfileInfo: an existing fileInfo to check against\n\toriginalpath: a preferred filepath if no pathFilters match\n*/\nexports.generateTiddlerFileInfo = function(tiddler,options) {\n\tvar fileInfo = {}, metaExt;\n\t// Propagate the isEditableFile flag\n\tif(options.fileInfo) {\n\t\tfileInfo.isEditableFile = options.fileInfo.isEditableFile || false;\n\t}\n\t// Check if the tiddler has any unsafe fields that can't be expressed in a .tid or .meta file: containing control characters, or leading/trailing whitespace\n\tvar hasUnsafeFields = false;\n\t$tw.utils.each(tiddler.getFieldStrings(),function(value,fieldName) {\n\t\tif(fieldName !== \"text\") {\n\t\t\thasUnsafeFields = hasUnsafeFields || /[\\x00-\\x1F]/mg.test(value);\n\t\t\thasUnsafeFields = hasUnsafeFields || ($tw.utils.trim(value) !== value);\n\t\t}\n\t});\n\t// Check for field values \n\tif(hasUnsafeFields) {\n\t\t// Save as a JSON file\n\t\tfileInfo.type = \"application/json\";\n\t\tfileInfo.hasMetaFile = false;\n\t} else {\n\t\t// Save as a .tid or a text/binary file plus a .meta file\n\t\tvar tiddlerType = tiddler.fields.type || \"text/vnd.tiddlywiki\";\n\t\tif(tiddlerType === \"text/vnd.tiddlywiki\") {\n\t\t\t// Save as a .tid file\n\t\t\tfileInfo.type = \"application/x-tiddler\";\n\t\t\tfileInfo.hasMetaFile = false;\n\t\t} else {\n\t\t\t// Save as a text/binary file and a .meta file\n\t\t\tfileInfo.type = tiddlerType;\n\t\t\tfileInfo.hasMetaFile = true;\n\t\t}\n\t\tif(options.extFilters) {\n\t\t\t// Check for extension override\n\t\t\tmetaExt = $tw.utils.generateTiddlerExtension(tiddler.fields.title,{\n\t\t\t\textFilters: options.extFilters,\n\t\t\t\twiki: options.wiki\n\t\t\t});\n\t\t\tif(metaExt){\n\t\t\t\tif(metaExt === \".tid\") {\n\t\t\t\t\t// Overriding to the .tid extension needs special handling\n\t\t\t\t\tfileInfo.type = \"application/x-tiddler\";\n\t\t\t\t\tfileInfo.hasMetaFile = false;\n\t\t\t\t} else if (metaExt === \".json\") {\n\t\t\t\t\t// Overriding to the .json extension needs special handling\n\t\t\t\t\tfileInfo.type = \"application/json\";\n\t\t\t\t\tfileInfo.hasMetaFile = false;\n\t\t\t\t} else {\n\t\t\t\t\t//If the new type matches a known extention, use that MIME type's encoding\n\t\t\t\t\tvar extInfo = $tw.utils.getFileExtensionInfo(metaExt);\n\t\t\t\t\tfileInfo.type = extInfo ? extInfo.type : null;\n\t\t\t\t\tfileInfo.encoding = $tw.utils.getTypeEncoding(metaExt);\n\t\t\t\t\tfileInfo.hasMetaFile = true;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\t// Take the file extension from the tiddler content type or metaExt\n\tvar contentTypeInfo = $tw.config.contentTypeInfo[fileInfo.type] || {extension: \"\"};\n\t// Generate the filepath\n\tfileInfo.filepath = $tw.utils.generateTiddlerFilepath(tiddler.fields.title,{\n\t\textension: metaExt || contentTypeInfo.extension,\n\t\tdirectory: options.directory,\n\t\tpathFilters: options.pathFilters,\n\t\twiki: options.wiki,\n\t\tfileInfo: options.fileInfo,\n\t\toriginalpath: options.originalpath\n\t});\n\treturn fileInfo;\n};\n\n/*\nGenerate the file extension for saving a tiddler\nOptions include:\n\textFilters: optional array of filters to be used to generate the extention\n\twiki: optional wiki for evaluating the extFilters\n*/\nexports.generateTiddlerExtension = function(title,options) {\n\tvar self = this,\n\t\textension;\n\t// Check if any of the extFilters applies\n\tif(options.extFilters && options.wiki) { \n\t\t$tw.utils.each(options.extFilters,function(filter) {\n\t\t\tif(!extension) {\n\t\t\t\tvar source = options.wiki.makeTiddlerIterator([title]),\n\t\t\t\t\tresult = options.wiki.filterTiddlers(filter,null,source);\n\t\t\t\tif(result.length > 0) {\n\t\t\t\t\textension = result[0];\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn extension;\n};\n\n/*\nGenerate the filepath for saving a tiddler\nOptions include:\n\textension: file extension to be added the finished filepath\n\tdirectory: absolute path of root directory to which we are saving\n\tpathFilters: optional array of filters to be used to generate the base path\n\twiki: optional wiki for evaluating the pathFilters\n\tfileInfo: an existing fileInfo object to check against\n*/\nexports.generateTiddlerFilepath = function(title,options) {\n\tvar self = this,\n\t\tdirectory = options.directory || \"\",\n\t\textension = options.extension || \"\",\n\t\toriginalpath = options.originalpath || \"\",\n\t\tfilepath;\t\n\t// Check if any of the pathFilters applies\n\tif(options.pathFilters && options.wiki) {\n\t\t$tw.utils.each(options.pathFilters,function(filter) {\n\t\t\tif(!filepath) {\n\t\t\t\tvar source = options.wiki.makeTiddlerIterator([title]),\n\t\t\t\t\tresult = options.wiki.filterTiddlers(filter,null,source);\n\t\t\t\tif(result.length > 0) {\n\t\t\t\t\tfilepath = result[0];\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\tif(!filepath && originalpath !== \"\") {\n\t\t//Use the originalpath without the extension\n\t\tvar ext = path.extname(originalpath);\n\t\tfilepath = originalpath.substring(0,originalpath.length - ext.length);\n\t} else if(!filepath) {\n\t\tfilepath = title;\n\t\t// If the filepath already ends in the extension then remove it\n\t\tif(filepath.substring(filepath.length - extension.length) === extension) {\n\t\t\tfilepath = filepath.substring(0,filepath.length - extension.length);\n\t\t}\n\t\t// Remove any forward or backward slashes so we don't create directories\n\t\tfilepath = filepath.replace(/\\/|\\\\/g,\"_\");\n\t}\n\t//If the path does not start with \".\" or \"..\" and a path seperator, then\n\tif(!/^\\.{1,2}[/\\\\]/g.test(filepath)) {\n\t\t// Don't let the filename start with any dots because such files are invisible on *nix\n\t\tfilepath = filepath.replace(/^\\.+/g,\"_\");\n\t}\n\t// Remove any characters that can't be used in cross-platform filenames\n\tfilepath = $tw.utils.transliterate(filepath.replace(/<|>|~|\\:|\\\"|\\||\\?|\\*|\\^/g,\"_\"));\n\t// Truncate the filename if it is too long\n\tif(filepath.length > 200) {\n\t\tfilepath = filepath.substr(0,200);\n\t}\n\t// If the resulting filename is blank (eg because the title is just punctuation characters)\n\tif(!filepath) {\n\t\t// ...then just use the character codes of the title\n\t\tfilepath = \"\";\t\n\t\t$tw.utils.each(title.split(\"\"),function(char) {\n\t\t\tif(filepath) {\n\t\t\t\tfilepath += \"-\";\n\t\t\t}\n\t\t\tfilepath += char.charCodeAt(0).toString();\n\t\t});\n\t}\n\t// Add a uniquifier if the file already exists\n\tvar fullPath, oldPath = (options.fileInfo) ? options.fileInfo.filepath : undefined,\n\t\tcount = 0;\n\tdo {\n\t\tfullPath = path.resolve(directory,filepath + (count ? \"_\" + count : \"\") + extension);\n\t\tif(oldPath && oldPath == fullPath) {\n\t\t\tbreak;\n\t\t}\n\t\tcount++;\n\t} while(fs.existsSync(fullPath));\n\t// If the last write failed with an error, or if path does not start with:\n\t//\tthe resolved options.directory, the resolved wikiPath directory, or the wikiTiddlersPath directory, \n\t//\tthen encodeURIComponent() and resolve to tiddler directory\n\tvar newPath = fullPath,\n\t\tencode = (options.fileInfo || {writeError: false}).writeError == true;\n\tif(!encode){\n\t\tencode = !(fullPath.indexOf(path.resolve(directory)) == 0 ||\n\t\t\tfullPath.indexOf(path.resolve($tw.boot.wikiPath)) == 0 ||\n\t\t\tfullPath.indexOf($tw.boot.wikiTiddlersPath) == 0);\n\t\t}\n\tif(encode){\n\t\tfullPath = path.resolve(directory, encodeURIComponent(fullPath));\n\t}\n\t// Call hook to allow plugins to modify the final path\n\tfullPath = $tw.hooks.invokeHook(\"th-make-tiddler-path\", newPath, fullPath);\n\t// Return the full path to the file\n\treturn fullPath;\n};\n\n/*\nSave a tiddler to a file described by the fileInfo:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\n*/\nexports.saveTiddlerToFile = function(tiddler,fileInfo,callback) {\n\t$tw.utils.createDirectory(path.dirname(fileInfo.filepath));\n\tif(fileInfo.hasMetaFile) {\n\t\t// Save the tiddler as a separate body and meta file\n\t\tvar typeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/plain\"] || {encoding: \"utf8\"};\n\t\tfs.writeFile(fileInfo.filepath,tiddler.fields.text,typeInfo.encoding,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tfs.writeFile(fileInfo.filepath + \".meta\",tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}),\"utf8\",callback);\n\t\t});\n\t} else {\n\t\t// Save the tiddler as a self contained templated file\n\t\tif(fileInfo.type === \"application/x-tiddler\") {\n\t\t\tfs.writeFile(fileInfo.filepath,tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}) + (!!tiddler.fields.text ? \"\\n\\n\" + tiddler.fields.text : \"\"),\"utf8\",callback);\n\t\t} else {\n\t\t\tfs.writeFile(fileInfo.filepath,JSON.stringify([tiddler.getFieldStrings({exclude: [\"bag\"]})],null,$tw.config.preferences.jsonSpaces),\"utf8\",callback);\n\t\t}\n\t}\n};\n\n/*\nSave a tiddler to a file described by the fileInfo:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\n*/\nexports.saveTiddlerToFileSync = function(tiddler,fileInfo) {\n\t$tw.utils.createDirectory(path.dirname(fileInfo.filepath));\n\tif(fileInfo.hasMetaFile) {\n\t\t// Save the tiddler as a separate body and meta file\n\t\tvar typeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/plain\"] || {encoding: \"utf8\"};\n\t\tfs.writeFileSync(fileInfo.filepath,tiddler.fields.text,typeInfo.encoding);\n\t\tfs.writeFileSync(fileInfo.filepath + \".meta\",tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}),\"utf8\");\n\t} else {\n\t\t// Save the tiddler as a self contained templated file\n\t\tif(fileInfo.type === \"application/x-tiddler\") {\n\t\t\tfs.writeFileSync(fileInfo.filepath,tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}) + (!!tiddler.fields.text ? \"\\n\\n\" + tiddler.fields.text : \"\"),\"utf8\");\n\t\t} else {\n\t\t\tfs.writeFileSync(fileInfo.filepath,JSON.stringify([tiddler.getFieldStrings({exclude: [\"bag\"]})],null,$tw.config.preferences.jsonSpaces),\"utf8\");\n\t\t}\n\t}\n};\n\n/*\nDelete a file described by the fileInfo if it exits\n*/\nexports.deleteTiddlerFile = function(fileInfo, callback) {\n\t//Only attempt to delete files that exist on disk\n\tif(!fileInfo.filepath || !fs.existsSync(fileInfo.filepath)) {\n\t\treturn callback(null);\n\t}\n\t// Delete the file\n\tfs.unlink(fileInfo.filepath,function(err) {\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\t\n\t\t// Delete the metafile if present\n\t\tif(fileInfo.hasMetaFile && fs.existsSync(fileInfo.filepath + \".meta\")) {\n\t\t\tfs.unlink(fileInfo.filepath + \".meta\",function(err) {\n\t\t\t\tif(err) {\n\t\t\t\t\treturn callback(err);\n\t\t\t\t}\n\t\t\t\treturn $tw.utils.deleteEmptyDirs(path.dirname(fileInfo.filepath),callback);\n\t\t\t});\n\t\t} else {\n\t\t\treturn $tw.utils.deleteEmptyDirs(path.dirname(fileInfo.filepath),callback);\n\t\t}\n\t});\n};\n\n/*\nCleanup old files on disk, by comparing the options values:\n\tadaptorInfo from $tw.syncer.tiddlerInfo\n\tbootInfo from $tw.boot.files\n*/\nexports.cleanupTiddlerFiles = function(options, callback) {\n\tvar adaptorInfo = options.adaptorInfo || {},\n\tbootInfo = options.bootInfo || {},\n\ttitle = options.title || \"undefined\";\n\tif(adaptorInfo.filepath && bootInfo.filepath && adaptorInfo.filepath !== bootInfo.filepath) {\n\t\treturn $tw.utils.deleteTiddlerFile(adaptorInfo, function(err){\n\t\t\tif(err) {\n\t\t\t\tif ((err.code == \"EPERM\" || err.code == \"EACCES\") && err.syscall == \"unlink\") {\n\t\t\t\t\t// Error deleting the previous file on disk, should fail gracefully\n\t\t\t\t\t$tw.syncer.displayError(\"Server desynchronized. Error cleaning up previous file for tiddler: \"+title, err);\n\t\t\t\t\treturn callback(null);\n\t\t\t\t} else {\n\t\t\t\t\treturn callback(err);\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn callback(null);\n\t\t});\n\t} else {\n\t\treturn callback(null);\n\t}\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils-node"
        },
        "$:/core/modules/utils/linkedlist.js": {
            "title": "$:/core/modules/utils/linkedlist.js",
            "text": "/*\\\nmodule-type: utils\ntitle: $:/core/modules/utils/linkedlist.js\ntype: application/javascript\n\nThis is a doubly-linked indexed list intended for manipulation, particularly\npushTop, which it does with significantly better performance than an array.\n\n\\*/\n(function(){\n\nfunction LinkedList() {\n\tthis.clear();\n};\n\nLinkedList.prototype.clear = function() {\n\tthis.index = Object.create(null);\n\t// LinkedList performs the duty of both the head and tail node\n\tthis.next = this;\n\tthis.prev = this;\n\tthis.length = 0;\n};\n\nLinkedList.prototype.remove = function(value) {\n\tif($tw.utils.isArray(value)) {\n\t\tfor(var t=0; t<value.length; t++) {\n\t\t\t_removeOne(this,value[t]);\n\t\t}\n\t} else {\n\t\t_removeOne(this,value);\n\t}\n};\n\nLinkedList.prototype.push = function(/* values */) {\n\tfor(var i = 0; i < arguments.length; i++) {\n\t\tvar value = arguments[i];\n\t\tvar node = {value: value};\n\t\tvar preexistingNode = this.index[value];\n\t\t_linkToEnd(this,node);\n\t\tif(preexistingNode) {\n\t\t\t// We want to keep pointing to the first instance, but we want\n\t\t\t// to have that instance (or chain of instances) point to the\n\t\t\t// new one.\n\t\t\twhile (preexistingNode.copy) {\n\t\t\t\tpreexistingNode = preexistingNode.copy;\n\t\t\t}\n\t\t\tpreexistingNode.copy = node;\n\t\t} else {\n\t\t\tthis.index[value] = node;\n\t\t}\n\t}\n};\n\nLinkedList.prototype.pushTop = function(value) {\n\tif($tw.utils.isArray(value)) {\n\t\tfor(var t=0; t<value.length; t++) {\n\t\t\t_removeOne(this,value[t]);\n\t\t}\n\t\tthis.push.apply(this,value);\n\t} else {\n\t\tvar node = _removeOne(this,value);\n\t\tif(!node) {\n\t\t\tnode = {value: value};\n\t\t\tthis.index[value] = node;\n\t\t} else {\n\t\t\t// Put this node at the end of the copy chain.\n\t\t\tvar preexistingNode = node;\n\t\t\twhile(preexistingNode.copy) {\n\t\t\t\tpreexistingNode = preexistingNode.copy;\n\t\t\t}\n\t\t\t// The order of these three statements is important,\n\t\t\t// because sometimes preexistingNode == node.\n\t\t\tpreexistingNode.copy = node;\n\t\t\tthis.index[value] = node.copy;\n\t\t\tnode.copy = undefined;\n\t\t}\n\t\t_linkToEnd(this,node);\n\t}\n};\n\nLinkedList.prototype.each = function(callback) {\n\tfor(var ptr = this.next; ptr !== this; ptr = ptr.next) {\n\t\tcallback(ptr.value);\n\t}\n};\n\nLinkedList.prototype.toArray = function() {\n\tvar output = [];\n\tfor(var ptr = this.next; ptr !== this; ptr = ptr.next) {\n\t\toutput.push(ptr.value);\n\t}\n\treturn output;\n};\n\nfunction _removeOne(list,value) {\n\tvar node = list.index[value];\n\tif(node) {\n\t\tnode.prev.next = node.next;\n\t\tnode.next.prev = node.prev;\n\t\tlist.length -= 1;\n\t\t// Point index to the next instance of the same value, maybe nothing.\n\t\tlist.index[value] = node.copy;\n\t}\n\treturn node;\n};\n\nfunction _linkToEnd(list,node) {\n\t// Sticks the given node onto the end of the list.\n\tlist.prev.next = node;\n\tnode.prev = list.prev;\n\tlist.prev = node;\n\tnode.next = list;\n\tlist.length += 1;\n};\n\nexports.LinkedList = LinkedList;\n\n})();\n",
            "module-type": "utils",
            "type": "application/javascript"
        },
        "$:/core/modules/utils/logger.js": {
            "title": "$:/core/modules/utils/logger.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/logger.js\ntype: application/javascript\nmodule-type: utils\n\nA basic logging implementation\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ALERT_TAG = \"$:/tags/Alert\";\n\n/*\nMake a new logger\n*/\nfunction Logger(componentName,options) {\n\toptions = options || {};\n\tthis.componentName = componentName || \"\";\n\tthis.colour = options.colour || \"white\";\n\tthis.enable = \"enable\" in options ? options.enable : true;\n\tthis.save = \"save\" in options ? options.save : true;\n\tthis.saveLimit = options.saveLimit || 100 * 1024;\n\tthis.saveBufferLogger = this;\n\tthis.buffer = \"\";\n\tthis.alertCount = 0;\n}\n\nLogger.prototype.setSaveBuffer = function(logger) {\n\tthis.saveBufferLogger = logger;\n};\n\n/*\nLog a message\n*/\nLogger.prototype.log = function(/* args */) {\n\tvar self = this;\n\tif(this.enable) {\n\t\tif(this.saveBufferLogger.save) {\n\t\t\tthis.saveBufferLogger.buffer += $tw.utils.formatDateString(new Date(),\"YYYY MM DD 0hh:0mm:0ss.0XXX\") + \":\";\n\t\t\t$tw.utils.each(Array.prototype.slice.call(arguments,0),function(arg,index) {\n\t\t\t\tself.saveBufferLogger.buffer += \" \" + arg;\n\t\t\t});\n\t\t\tthis.saveBufferLogger.buffer += \"\\n\";\n\t\t\tthis.saveBufferLogger.buffer = this.saveBufferLogger.buffer.slice(-this.saveBufferLogger.saveLimit);\t\t\t\n\t\t}\n\t\tif(console !== undefined && console.log !== undefined) {\n\t\t\treturn Function.apply.call(console.log, console, [$tw.utils.terminalColour(this.colour),this.componentName + \":\"].concat(Array.prototype.slice.call(arguments,0)).concat($tw.utils.terminalColour()));\n\t\t}\n\t} \n};\n\n/*\nRead the message buffer\n*/\nLogger.prototype.getBuffer = function() {\n\treturn this.saveBufferLogger.buffer;\n};\n\n/*\nLog a structure as a table\n*/\nLogger.prototype.table = function(value) {\n\t(console.table || console.log)(value);\n};\n\n/*\nAlert a message\n*/\nLogger.prototype.alert = function(/* args */) {\n\tif(this.enable) {\n\t\t// Prepare the text of the alert\n\t\tvar text = Array.prototype.join.call(arguments,\" \");\n\t\t// Create alert tiddlers in the browser\n\t\tif($tw.browser) {\n\t\t\t// Check if there is an existing alert with the same text and the same component\n\t\t\tvar existingAlerts = $tw.wiki.getTiddlersWithTag(ALERT_TAG),\n\t\t\t\talertFields,\n\t\t\t\texistingCount,\n\t\t\t\tself = this;\n\t\t\t$tw.utils.each(existingAlerts,function(title) {\n\t\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\t\tif(tiddler.fields.text === text && tiddler.fields.component === self.componentName && tiddler.fields.modified && (!alertFields || tiddler.fields.modified < alertFields.modified)) {\n\t\t\t\t\t\talertFields = $tw.utils.extend({},tiddler.fields);\n\t\t\t\t}\n\t\t\t});\n\t\t\tif(alertFields) {\n\t\t\t\texistingCount = alertFields.count || 1;\n\t\t\t} else {\n\t\t\t\talertFields = {\n\t\t\t\t\ttitle: $tw.wiki.generateNewTitle(\"$:/temp/alerts/alert\",{prefix: \"\"}),\n\t\t\t\t\ttext: text,\n\t\t\t\t\ttags: [ALERT_TAG],\n\t\t\t\t\tcomponent: this.componentName\n\t\t\t\t};\n\t\t\t\texistingCount = 0;\n\t\t\t\tthis.alertCount += 1;\n\t\t\t}\n\t\t\talertFields.modified = new Date();\n\t\t\tif(++existingCount > 1) {\n\t\t\t\talertFields.count = existingCount;\n\t\t\t} else {\n\t\t\t\talertFields.count = undefined;\n\t\t\t}\n\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler(alertFields));\n\t\t\t// Log the alert as well\n\t\t\tthis.log.apply(this,Array.prototype.slice.call(arguments,0));\n\t\t} else {\n\t\t\t// Print an orange message to the console if not in the browser\n\t\t\tconsole.error(\"\\x1b[1;33m\" + text + \"\\x1b[0m\");\n\t\t}\t\t\n\t}\n};\n\n/*\nClear outstanding alerts\n*/\nLogger.prototype.clearAlerts = function() {\n\tvar self = this;\n\tif($tw.browser && this.alertCount > 0) {\n\t\t$tw.utils.each($tw.wiki.getTiddlersWithTag(ALERT_TAG),function(title) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\tif(tiddler.fields.component === self.componentName) {\n\t\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t\t}\n\t\t});\n\t\tthis.alertCount = 0;\n\t}\n};\n\nexports.Logger = Logger;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/parsetree.js": {
            "title": "$:/core/modules/utils/parsetree.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/parsetree.js\ntype: application/javascript\nmodule-type: utils\n\nParse tree utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.addAttributeToParseTreeNode = function(node,name,value) {\n\tnode.attributes = node.attributes || {};\n\tnode.attributes[name] = {type: \"string\", value: value};\n};\n\nexports.getAttributeValueFromParseTreeNode = function(node,name,defaultValue) {\n\tif(node.attributes && node.attributes[name] && node.attributes[name].value !== undefined) {\n\t\treturn node.attributes[name].value;\n\t}\n\treturn defaultValue;\n};\n\nexports.addClassToParseTreeNode = function(node,classString) {\n\tvar classes = [];\n\tnode.attributes = node.attributes || {};\n\tnode.attributes[\"class\"] = node.attributes[\"class\"] || {type: \"string\", value: \"\"};\n\tif(node.attributes[\"class\"].type === \"string\") {\n\t\tif(node.attributes[\"class\"].value !== \"\") {\n\t\t\tclasses = node.attributes[\"class\"].value.split(\" \");\n\t\t}\n\t\tif(classString !== \"\") {\n\t\t\t$tw.utils.pushTop(classes,classString.split(\" \"));\n\t\t}\n\t\tnode.attributes[\"class\"].value = classes.join(\" \");\n\t}\n};\n\nexports.addStyleToParseTreeNode = function(node,name,value) {\n\t\tnode.attributes = node.attributes || {};\n\t\tnode.attributes.style = node.attributes.style || {type: \"string\", value: \"\"};\n\t\tif(node.attributes.style.type === \"string\") {\n\t\t\tnode.attributes.style.value += name + \":\" + value + \";\";\n\t\t}\n};\n\nexports.findParseTreeNode = function(nodeArray,search) {\n\tfor(var t=0; t<nodeArray.length; t++) {\n\t\tif(nodeArray[t].type === search.type && nodeArray[t].tag === search.tag) {\n\t\t\treturn nodeArray[t];\n\t\t}\n\t}\n\treturn undefined;\n};\n\n/*\nHelper to get the text of a parse tree node or array of nodes\n*/\nexports.getParseTreeText = function getParseTreeText(tree) {\n\tvar output = [];\n\tif($tw.utils.isArray(tree)) {\n\t\t$tw.utils.each(tree,function(node) {\n\t\t\toutput.push(getParseTreeText(node));\n\t\t});\n\t} else {\n\t\tif(tree.type === \"text\") {\n\t\t\toutput.push(tree.text);\n\t\t}\n\t\tif(tree.children) {\n\t\t\treturn getParseTreeText(tree.children);\n\t\t}\n\t}\n\treturn output.join(\"\");\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/performance.js": {
            "title": "$:/core/modules/utils/performance.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/performance.js\ntype: application/javascript\nmodule-type: global\n\nPerformance measurement.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction Performance(enabled) {\n\tthis.enabled = !!enabled;\n\tthis.measures = {}; // Hashmap by measurement name of {time:, invocations:}\n\tthis.logger = new $tw.utils.Logger(\"performance\");\n\tthis.showGreeting();\n}\n\nPerformance.prototype.showGreeting = function() {\n\tif($tw.browser) {\n\t\tthis.logger.log(\"Execute $tw.perf.log(); to see filter execution timings\");\t\t\n\t}\n};\n\n/*\nWrap performance reporting around a top level function\n*/\nPerformance.prototype.report = function(name,fn) {\n\tvar self = this;\n\tif(this.enabled) {\n\t\treturn function() {\n\t\t\tvar startTime = $tw.utils.timer(),\n\t\t\t\tresult = fn.apply(this,arguments);\n\t\t\tself.logger.log(name + \": \" + $tw.utils.timer(startTime).toFixed(2) + \"ms\");\n\t\t\treturn result;\n\t\t};\n\t} else {\n\t\treturn fn;\n\t}\n};\n\nPerformance.prototype.log = function() {\n\tvar self = this,\n\t\ttotalTime = 0,\n\t\torderedMeasures = Object.keys(this.measures).sort(function(a,b) {\n\t\t\tif(self.measures[a].time > self.measures[b].time) {\n\t\t\t\treturn -1;\n\t\t\t} else if (self.measures[a].time < self.measures[b].time) {\n\t\t\t\treturn + 1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t});\n\t$tw.utils.each(orderedMeasures,function(name) {\n\t\ttotalTime += self.measures[name].time;\n\t});\n\tvar results = []\n\t$tw.utils.each(orderedMeasures,function(name) {\n\t\tvar measure = self.measures[name];\n\t\tresults.push({name: name,invocations: measure.invocations, avgTime: measure.time / measure.invocations, totalTime: measure.time, percentTime: (measure.time / totalTime) * 100})\n\t});\n\tself.logger.table(results);\n};\n\n/*\nWrap performance measurements around a subfunction\n*/\nPerformance.prototype.measure = function(name,fn) {\n\tvar self = this;\n\tif(this.enabled) {\n\t\treturn function() {\n\t\t\tvar startTime = $tw.utils.timer(),\n\t\t\t\tresult = fn.apply(this,arguments);\n\t\t\tif(!(name in self.measures)) {\n\t\t\t\tself.measures[name] = {time: 0, invocations: 0};\n\t\t\t}\n\t\t\tself.measures[name].time += $tw.utils.timer(startTime);\n\t\t\tself.measures[name].invocations++;\n\t\t\treturn result;\n\t\t};\n\t} else {\n\t\treturn fn;\n\t}\n};\n\nexports.Performance = Performance;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "global"
        },
        "$:/core/modules/utils/pluginmaker.js": {
            "title": "$:/core/modules/utils/pluginmaker.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/pluginmaker.js\ntype: application/javascript\nmodule-type: utils\n\nA quick and dirty way to pack up plugins within the browser.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRepack a plugin, and then delete any non-shadow payload tiddlers\n*/\nexports.repackPlugin = function(title,additionalTiddlers,excludeTiddlers) {\n\tadditionalTiddlers = additionalTiddlers || [];\n\texcludeTiddlers = excludeTiddlers || [];\n\t// Get the plugin tiddler\n\tvar pluginTiddler = $tw.wiki.getTiddler(title);\n\tif(!pluginTiddler) {\n\t\tthrow \"No such tiddler as \" + title;\n\t}\n\t// Extract the JSON\n\tvar jsonPluginTiddler;\n\ttry {\n\t\tjsonPluginTiddler = JSON.parse(pluginTiddler.fields.text);\n\t} catch(e) {\n\t\tthrow \"Cannot parse plugin tiddler \" + title + \"\\n\" + $tw.language.getString(\"Error/Caption\") + \": \" + e;\n\t}\n\t// Get the list of tiddlers\n\tvar tiddlers = Object.keys(jsonPluginTiddler.tiddlers);\n\t// Add the additional tiddlers\n\t$tw.utils.pushTop(tiddlers,additionalTiddlers);\n\t// Remove any excluded tiddlers\n\tfor(var t=tiddlers.length-1; t>=0; t--) {\n\t\tif(excludeTiddlers.indexOf(tiddlers[t]) !== -1) {\n\t\t\ttiddlers.splice(t,1);\n\t\t}\n\t}\n\t// Pack up the tiddlers into a block of JSON\n\tvar plugins = {};\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = $tw.wiki.getTiddler(title),\n\t\t\tfields = {};\n\t\t$tw.utils.each(tiddler.fields,function (value,name) {\n\t\t\tfields[name] = tiddler.getFieldString(name);\n\t\t});\n\t\tplugins[title] = fields;\n\t});\n\t// Retrieve and bump the version number\n\tvar pluginVersion = $tw.utils.parseVersion(pluginTiddler.getFieldString(\"version\") || \"0.0.0\") || {\n\t\t\tmajor: \"0\",\n\t\t\tminor: \"0\",\n\t\t\tpatch: \"0\"\n\t\t};\n\tpluginVersion.patch++;\n\tvar version = pluginVersion.major + \".\" + pluginVersion.minor + \".\" + pluginVersion.patch;\n\tif(pluginVersion.prerelease) {\n\t\tversion += \"-\" + pluginVersion.prerelease;\n\t}\n\tif(pluginVersion.build) {\n\t\tversion += \"+\" + pluginVersion.build;\n\t}\n\t// Save the tiddler\n\t$tw.wiki.addTiddler(new $tw.Tiddler(pluginTiddler,{text: JSON.stringify({tiddlers: plugins},null,4), version: version}));\n\t// Delete any non-shadow constituent tiddlers\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tif($tw.wiki.tiddlerExists(title)) {\n\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t}\n\t});\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\t// Return a heartwarming confirmation\n\treturn \"Plugin \" + title + \" successfully saved\";\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/transliterate.js": {
            "title": "$:/core/modules/utils/transliterate.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/transliterate.js\ntype: application/javascript\nmodule-type: utils\n\nTransliteration static utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nTransliterate string to ASCII\n\n(Some pairs taken from http://semplicewebsites.com/removing-accents-javascript)\n*/\nexports.transliterationPairs = 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= function(str) {\n\treturn str.replace(/[^A-Za-z0-9\\[\\] ]/g,function(ch) {\n\t\treturn exports.transliterationPairs[ch] || ch\n\t});\n};\n\nexports.transliterateToSafeASCII = function(str) {\n\treturn str.replace(/[^\\x00-\\x7F]/g,function(ch) {\n\t\treturn exports.transliterationPairs[ch] || \"\"\n\t});\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/utils/utils.js": {
            "title": "$:/core/modules/utils/utils.js",
            "text": "/*\\\ntitle: $:/core/modules/utils/utils.js\ntype: application/javascript\nmodule-type: utils\n\nVarious static utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar base64utf8 = require(\"$:/core/modules/utils/base64-utf8/base64-utf8.module.js\");\n\n/*\nDisplay a message, in colour if we're on a terminal\n*/\nexports.log = function(text,colour) {\n\tconsole.log($tw.node ? exports.terminalColour(colour) + text + exports.terminalColour() : text);\n};\n\nexports.terminalColour = function(colour) {\n\tif(!$tw.browser && $tw.node && process.stdout.isTTY) {\n\t\tif(colour) {\n\t\t\tvar code = exports.terminalColourLookup[colour];\n\t\t\tif(code) {\n\t\t\t\treturn \"\\x1b[\" + code + \"m\";\n\t\t\t}\n\t\t} else {\n\t\t\treturn \"\\x1b[0m\"; // Cancel colour\n\t\t}\n\t}\n\treturn \"\";\n};\n\nexports.terminalColourLookup = {\n\t\"black\": \"0;30\",\n\t\"red\": \"0;31\",\n\t\"green\": \"0;32\",\n\t\"brown/orange\": \"0;33\",\n\t\"blue\": \"0;34\",\n\t\"purple\": \"0;35\",\n\t\"cyan\": \"0;36\",\n\t\"light gray\": \"0;37\"\n};\n\n/*\nDisplay a warning, in colour if we're on a terminal\n*/\nexports.warning = function(text) {\n\texports.log(text,\"brown/orange\");\n};\n\n/*\nLog a table of name: value pairs\n*/\nexports.logTable = function(data) {\n\tif(console.table) {\n\t\tconsole.table(data);\n\t} else {\n\t\t$tw.utils.each(data,function(value,name) {\n\t\t\tconsole.log(name + \": \" + value);\n\t\t});\n\t}\n}\n\n/*\nReturn the integer represented by the str (string).\nReturn the dflt (default) parameter if str is not a base-10 number.\n*/\nexports.getInt = function(str,deflt) {\n\tvar i = parseInt(str,10);\n\treturn isNaN(i) ? deflt : i;\n}\n\n/*\nRepeatedly replaces a substring within a string. Like String.prototype.replace, but without any of the default special handling of $ sequences in the replace string\n*/\nexports.replaceString = function(text,search,replace) {\n\treturn text.replace(search,function() {\n\t\treturn replace;\n\t});\n};\n\n/*\nRepeats a string\n*/\nexports.repeat = function(str,count) {\n\tvar result = \"\";\n\tfor(var t=0;t<count;t++) {\n\t\tresult += str;\n\t}\n\treturn result;\n};\n\n/*\nTrim whitespace from the start and end of a string\nThanks to Steven Levithan, http://blog.stevenlevithan.com/archives/faster-trim-javascript\n*/\nexports.trim = function(str) {\n\tif(typeof str === \"string\") {\n\t\treturn str.replace(/^\\s\\s*/, '').replace(/\\s\\s*$/, '');\n\t} else {\n\t\treturn str;\n\t}\n};\n\nexports.trimPrefix = function(str,unwanted) {\n\tif(typeof str === \"string\" && typeof unwanted === \"string\") {\n\t\tif(unwanted === \"\") {\n\t\t\treturn str.replace(/^\\s\\s*/, '');\n\t\t} else {\n\t\t\t// Safely regexp-escape the unwanted text\n\t\t\tunwanted = unwanted.replace(/[\\\\^$*+?.()|[\\]{}]/g, '\\\\$&');\n\t\t\tvar regex = new RegExp('^(' + unwanted + ')+');\n\t\t\treturn str.replace(regex, '');\n\t\t}\n\t} else {\n\t\treturn str;\n\t}\n};\n\nexports.trimSuffix = function(str,unwanted) {\n\tif(typeof str === \"string\" && typeof unwanted === \"string\") {\n\t\tif(unwanted === \"\") {\n\t\t\treturn str.replace(/\\s\\s*$/, '');\n\t\t} else {\n\t\t\t// Safely regexp-escape the unwanted text\n\t\t\tunwanted = unwanted.replace(/[\\\\^$*+?.()|[\\]{}]/g, '\\\\$&');\n\t\t\tvar regex = new RegExp('(' + unwanted + ')+$');\n\t\t\treturn str.replace(regex, '');\n\t\t}\n\t} else {\n\t\treturn str;\n\t}\n};\n\n/*\nConvert a string to sentence case (ie capitalise first letter)\n*/\nexports.toSentenceCase = function(str) {\n\treturn (str || \"\").replace(/^\\S/, function(c) {return c.toUpperCase();});\n}\n\n/*\nConvert a string to title case (ie capitalise each initial letter)\n*/\nexports.toTitleCase = function(str) {\n\treturn (str || \"\").replace(/(^|\\s)\\S/g, function(c) {return c.toUpperCase();});\n}\n\t\n/*\nFind the line break preceding a given position in a string\nReturns position immediately after that line break, or the start of the string\n*/\nexports.findPrecedingLineBreak = function(text,pos) {\n\tvar result = text.lastIndexOf(\"\\n\",pos - 1);\n\tif(result === -1) {\n\t\tresult = 0;\n\t} else {\n\t\tresult++;\n\t\tif(text.charAt(result) === \"\\r\") {\n\t\t\tresult++;\n\t\t}\n\t}\n\treturn result;\n};\n\n/*\nFind the line break following a given position in a string\n*/\nexports.findFollowingLineBreak = function(text,pos) {\n\t// Cut to just past the following line break, or to the end of the text\n\tvar result = text.indexOf(\"\\n\",pos);\n\tif(result === -1) {\n\t\tresult = text.length;\n\t} else {\n\t\tif(text.charAt(result) === \"\\r\") {\n\t\t\tresult++;\n\t\t}\n\t}\n\treturn result;\n};\n\n/*\nReturn the number of keys in an object\n*/\nexports.count = function(object) {\n\treturn Object.keys(object || {}).length;\n};\n\n/*\nDetermine whether an array-item is an object-property\n*/\nexports.hopArray = function(object,array) {\n\tfor(var i=0; i<array.length; i++) {\n\t\tif($tw.utils.hop(object,array[i])) {\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nRemove entries from an array\n\tarray: array to modify\n\tvalue: a single value to remove, or an array of values to remove\n*/\nexports.removeArrayEntries = function(array,value) {\n\tvar t,p;\n\tif($tw.utils.isArray(value)) {\n\t\tfor(t=0; t<value.length; t++) {\n\t\t\tp = array.indexOf(value[t]);\n\t\t\tif(p !== -1) {\n\t\t\t\tarray.splice(p,1);\n\t\t\t}\n\t\t}\n\t} else {\n\t\tp = array.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tarray.splice(p,1);\n\t\t}\n\t}\n};\n\n/*\nCheck whether any members of a hashmap are present in another hashmap\n*/\nexports.checkDependencies = function(dependencies,changes) {\n\tvar hit = false;\n\t$tw.utils.each(changes,function(change,title) {\n\t\tif($tw.utils.hop(dependencies,title)) {\n\t\t\thit = true;\n\t\t}\n\t});\n\treturn hit;\n};\n\nexports.extend = function(object /* [, src] */) {\n\t$tw.utils.each(Array.prototype.slice.call(arguments, 1), function(source) {\n\t\tif(source) {\n\t\t\tfor(var property in source) {\n\t\t\t\tobject[property] = source[property];\n\t\t\t}\n\t\t}\n\t});\n\treturn object;\n};\n\nexports.deepCopy = function(object) {\n\tvar result,t;\n\tif($tw.utils.isArray(object)) {\n\t\t// Copy arrays\n\t\tresult = object.slice(0);\n\t} else if(typeof object === \"object\") {\n\t\tresult = {};\n\t\tfor(t in object) {\n\t\t\tif(object[t] !== undefined) {\n\t\t\t\tresult[t] = $tw.utils.deepCopy(object[t]);\n\t\t\t}\n\t\t}\n\t} else {\n\t\tresult = object;\n\t}\n\treturn result;\n};\n\nexports.extendDeepCopy = function(object,extendedProperties) {\n\tvar result = $tw.utils.deepCopy(object),t;\n\tfor(t in extendedProperties) {\n\t\tif(extendedProperties[t] !== undefined) {\n\t\t\tresult[t] = $tw.utils.deepCopy(extendedProperties[t]);\n\t\t}\n\t}\n\treturn result;\n};\n\nexports.deepFreeze = function deepFreeze(object) {\n\tvar property, key;\n\tif(object) {\n\t\tObject.freeze(object);\n\t\tfor(key in object) {\n\t\t\tproperty = object[key];\n\t\t\tif($tw.utils.hop(object,key) && (typeof property === \"object\") && !Object.isFrozen(property)) {\n\t\t\t\tdeepFreeze(property);\n\t\t\t}\n\t\t}\n\t}\n};\n\nexports.slowInSlowOut = function(t) {\n\treturn (1 - ((Math.cos(t * Math.PI) + 1) / 2));\n};\n\nexports.formatDateString = function(date,template) {\n\tvar result = \"\",\n\t\tt = template,\n\t\tmatches = [\n\t\t\t[/^0hh12/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getHours12(date));\n\t\t\t}],\n\t\t\t[/^wYYYY/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getYearForWeekNo(date),4);\n\t\t\t}],\n\t\t\t[/^hh12/, function() {\n\t\t\t\treturn $tw.utils.getHours12(date);\n\t\t\t}],\n\t\t\t[/^DDth/, function() {\n\t\t\t\treturn date.getDate() + $tw.utils.getDaySuffix(date);\n\t\t\t}],\n\t\t\t[/^YYYY/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getFullYear(),4);\n\t\t\t}],\n\t\t\t[/^aYYYY/, function() {\n\t\t\t\treturn $tw.utils.pad(Math.abs(date.getFullYear()),4);\n\t\t\t}],\n\t\t\t[/^\\{era:([^,\\|}]*)\\|([^}\\|]*)\\|([^}]*)\\}/, function(match) {\n\t\t\t\tvar year = date.getFullYear();\n\t\t\t\treturn year === 0 ? match[2] : (year < 0 ? match[1] : match[3]);\n\t\t\t}],\n\t\t\t[/^0hh/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getHours());\n\t\t\t}],\n\t\t\t[/^0mm/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMinutes());\n\t\t\t}],\n\t\t\t[/^0ss/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getSeconds());\n\t\t\t}],\n\t\t\t[/^0XXX/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMilliseconds(),3);\n\t\t\t}],\n\t\t\t[/^0DD/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getDate());\n\t\t\t}],\n\t\t\t[/^0MM/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMonth()+1);\n\t\t\t}],\n\t\t\t[/^0WW/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getWeek(date));\n\t\t\t}],\n\t\t\t[/^ddd/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Short/Day/\" + date.getDay());\n\t\t\t}],\n\t\t\t[/^mmm/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Short/Month/\" + (date.getMonth() + 1));\n\t\t\t}],\n\t\t\t[/^DDD/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Long/Day/\" + date.getDay());\n\t\t\t}],\n\t\t\t[/^MMM/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Long/Month/\" + (date.getMonth() + 1));\n\t\t\t}],\n\t\t\t[/^TZD/, function() {\n\t\t\t\tvar tz = date.getTimezoneOffset(),\n\t\t\t\tatz = Math.abs(tz);\n\t\t\t\treturn (tz < 0 ? '+' : '-') + $tw.utils.pad(Math.floor(atz / 60)) + ':' + $tw.utils.pad(atz % 60);\n\t\t\t}],\n\t\t\t[/^wYY/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getYearForWeekNo(date) - 2000);\n\t\t\t}],\n\t\t\t[/^[ap]m/, function() {\n\t\t\t\treturn $tw.utils.getAmPm(date).toLowerCase();\n\t\t\t}],\n\t\t\t[/^hh/, function() {\n\t\t\t\treturn date.getHours();\n\t\t\t}],\n\t\t\t[/^mm/, function() {\n\t\t\t\treturn date.getMinutes();\n\t\t\t}],\n\t\t\t[/^ss/, function() {\n\t\t\t\treturn date.getSeconds();\n\t\t\t}],\n\t\t\t[/^XXX/, function() {\n\t\t\t\treturn date.getMilliseconds();\n\t\t\t}],\n\t\t\t[/^[AP]M/, function() {\n\t\t\t\treturn $tw.utils.getAmPm(date).toUpperCase();\n\t\t\t}],\n\t\t\t[/^DD/, function() {\n\t\t\t\treturn date.getDate();\n\t\t\t}],\n\t\t\t[/^MM/, function() {\n\t\t\t\treturn date.getMonth() + 1;\n\t\t\t}],\n\t\t\t[/^WW/, function() {\n\t\t\t\treturn $tw.utils.getWeek(date);\n\t\t\t}],\n\t\t\t[/^YY/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getFullYear() - 2000);\n\t\t\t}]\n\t\t];\n\t// If the user wants everything in UTC, shift the datestamp\n\t// Optimize for format string that essentially means\n\t// 'return raw UTC (tiddlywiki style) date string.'\n\tif(t.indexOf(\"[UTC]\") == 0 ) {\n\t\tif(t == \"[UTC]YYYY0MM0DD0hh0mm0ssXXX\")\n\t\t\treturn $tw.utils.stringifyDate(new Date());\n\t\tvar offset = date.getTimezoneOffset() ; // in minutes\n\t\tdate = new Date(date.getTime()+offset*60*1000) ;\n\t\tt = t.substr(5) ;\n\t}\n\twhile(t.length){\n\t\tvar matchString = \"\";\n\t\t$tw.utils.each(matches, function(m) {\n\t\t\tvar match = m[0].exec(t);\n\t\t\tif(match) {\n\t\t\t\tmatchString = m[1].call(null,match);\n\t\t\t\tt = t.substr(match[0].length);\n\t\t\t\treturn false;\n\t\t\t}\n\t\t});\n\t\tif(matchString) {\n\t\t\tresult += matchString;\n\t\t} else {\n\t\t\tresult += t.charAt(0);\n\t\t\tt = t.substr(1);\n\t\t}\n\t}\n\tresult = result.replace(/\\\\(.)/g,\"$1\");\n\treturn result;\n};\n\nexports.getAmPm = function(date) {\n\treturn $tw.language.getString(\"Date/Period/\" + (date.getHours() >= 12 ? \"pm\" : \"am\"));\n};\n\nexports.getDaySuffix = function(date) {\n\treturn $tw.language.getString(\"Date/DaySuffix/\" + date.getDate());\n};\n\nexports.getWeek = function(date) {\n\tvar dt = new Date(date.getTime());\n\tvar d = dt.getDay();\n\tif(d === 0) {\n\t\td = 7; // JavaScript Sun=0, ISO Sun=7\n\t}\n\tdt.setTime(dt.getTime() + (4 - d) * 86400000);// shift day to Thurs of same week to calculate weekNo\n\tvar x = new Date(dt.getFullYear(),0,1);\n\tvar n = Math.floor((dt.getTime() - x.getTime()) / 86400000);\n\treturn Math.floor(n / 7) + 1;\n};\n\nexports.getYearForWeekNo = function(date) {\n\tvar dt = new Date(date.getTime());\n\tvar d = dt.getDay();\n\tif(d === 0) {\n\t\td = 7; // JavaScript Sun=0, ISO Sun=7\n\t}\n\tdt.setTime(dt.getTime() + (4 - d) * 86400000);// shift day to Thurs of same week\n\treturn dt.getFullYear();\n};\n\nexports.getHours12 = function(date) {\n\tvar h = date.getHours();\n\treturn h > 12 ? h-12 : ( h > 0 ? h : 12 );\n};\n\n/*\nConvert a date delta in milliseconds into a string representation of \"23 seconds ago\", \"27 minutes ago\" etc.\n\tdelta: delta in milliseconds\nReturns an object with these members:\n\tdescription: string describing the delta period\n\tupdatePeriod: time in millisecond until the string will be inaccurate\n*/\nexports.getRelativeDate = function(delta) {\n\tvar futurep = false;\n\tif(delta < 0) {\n\t\tdelta = -1 * delta;\n\t\tfuturep = true;\n\t}\n\tvar units = [\n\t\t{name: \"Years\",   duration:      365 * 24 * 60 * 60 * 1000},\n\t\t{name: \"Months\",  duration: (365/12) * 24 * 60 * 60 * 1000},\n\t\t{name: \"Days\",    duration:            24 * 60 * 60 * 1000},\n\t\t{name: \"Hours\",   duration:                 60 * 60 * 1000},\n\t\t{name: \"Minutes\", duration:                      60 * 1000},\n\t\t{name: \"Seconds\", duration:                           1000}\n\t];\n\tfor(var t=0; t<units.length; t++) {\n\t\tvar result = Math.floor(delta / units[t].duration);\n\t\tif(result >= 2) {\n\t\t\treturn {\n\t\t\t\tdelta: delta,\n\t\t\t\tdescription: $tw.language.getString(\n\t\t\t\t\t\"RelativeDate/\" + (futurep ? \"Future\" : \"Past\") + \"/\" + units[t].name,\n\t\t\t\t\t{variables:\n\t\t\t\t\t\t{period: result.toString()}\n\t\t\t\t\t}\n\t\t\t\t),\n\t\t\t\tupdatePeriod: units[t].duration\n\t\t\t};\n\t\t}\n\t}\n\treturn {\n\t\tdelta: delta,\n\t\tdescription: $tw.language.getString(\n\t\t\t\"RelativeDate/\" + (futurep ? \"Future\" : \"Past\") + \"/Second\",\n\t\t\t{variables:\n\t\t\t\t{period: \"1\"}\n\t\t\t}\n\t\t),\n\t\tupdatePeriod: 1000\n\t};\n};\n\n// Convert & to \"&amp;\", < to \"&lt;\", > to \"&gt;\", \" to \"&quot;\"\nexports.htmlEncode = function(s) {\n\tif(s) {\n\t\treturn s.toString().replace(/&/mg,\"&amp;\").replace(/</mg,\"&lt;\").replace(/>/mg,\"&gt;\").replace(/\\\"/mg,\"&quot;\");\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n// Converts all HTML entities to their character equivalents\nexports.entityDecode = function(s) {\n\tvar converter = String.fromCodePoint || String.fromCharCode,\n\t\te = s.substr(1,s.length-2), // Strip the & and the ;\n\t\tc;\n\tif(e.charAt(0) === \"#\") {\n\t\tif(e.charAt(1) === \"x\" || e.charAt(1) === \"X\") {\n\t\t\tc = parseInt(e.substr(2),16);\n\t\t} else {\n\t\t\tc = parseInt(e.substr(1),10);\n\t\t}\n\t\tif(isNaN(c)) {\n\t\t\treturn s;\n\t\t} else {\n\t\t\treturn converter(c);\n\t\t}\n\t} else {\n\t\tc = $tw.config.htmlEntities[e];\n\t\tif(c) {\n\t\t\treturn converter(c);\n\t\t} else {\n\t\t\treturn s; // Couldn't convert it as an entity, just return it raw\n\t\t}\n\t}\n};\n\nexports.unescapeLineBreaks = function(s) {\n\treturn s.replace(/\\\\n/mg,\"\\n\").replace(/\\\\b/mg,\" \").replace(/\\\\s/mg,\"\\\\\").replace(/\\r/mg,\"\");\n};\n\n/*\n * Returns an escape sequence for given character. Uses \\x for characters <=\n * 0xFF to save space, \\u for the rest.\n *\n * The code needs to be in sync with th code template in the compilation\n * function for \"action\" nodes.\n */\n// Copied from peg.js, thanks to David Majda\nexports.escape = function(ch) {\n\tvar charCode = ch.charCodeAt(0);\n\tif(charCode <= 0xFF) {\n\t\treturn '\\\\x' + $tw.utils.pad(charCode.toString(16).toUpperCase());\n\t} else {\n\t\treturn '\\\\u' + $tw.utils.pad(charCode.toString(16).toUpperCase(),4);\n\t}\n};\n\n// Turns a string into a legal JavaScript string\n// Copied from peg.js, thanks to David Majda\nexports.stringify = function(s, rawUnicode) {\n\t/*\n\t* ECMA-262, 5th ed., 7.8.4: All characters may appear literally in a string\n\t* literal except for the closing quote character, backslash, carriage return,\n\t* line separator, paragraph separator, and line feed. Any character may\n\t* appear in the form of an escape sequence.\n\t*\n\t* For portability, we also escape all non-ASCII characters.\n\t*/\n\tvar regex = rawUnicode ? /[\\x00-\\x1f]/g : /[\\x00-\\x1f\\x80-\\uFFFF]/g;\n\treturn (s || \"\")\n\t\t.replace(/\\\\/g, '\\\\\\\\')            // backslash\n\t\t.replace(/\"/g, '\\\\\"')              // double quote character\n\t\t.replace(/'/g, \"\\\\'\")              // single quote character\n\t\t.replace(/\\r/g, '\\\\r')             // carriage return\n\t\t.replace(/\\n/g, '\\\\n')             // line feed\n\t\t.replace(regex, exports.escape);   // non-ASCII characters\n};\n\n// Turns a string into a legal JSON string\n// Derived from peg.js, thanks to David Majda\nexports.jsonStringify = function(s, rawUnicode) {\n\t// See http://www.json.org/\n\tvar regex = rawUnicode ? /[\\x00-\\x1f]/g : /[\\x00-\\x1f\\x80-\\uFFFF]/g;\n\treturn (s || \"\")\n\t\t.replace(/\\\\/g, '\\\\\\\\')            // backslash\n\t\t.replace(/\"/g, '\\\\\"')              // double quote character\n\t\t.replace(/\\r/g, '\\\\r')             // carriage return\n\t\t.replace(/\\n/g, '\\\\n')             // line feed\n\t\t.replace(/\\x08/g, '\\\\b')           // backspace\n\t\t.replace(/\\x0c/g, '\\\\f')           // formfeed\n\t\t.replace(/\\t/g, '\\\\t')             // tab\n\t\t.replace(regex,function(s) {\n\t\t\treturn '\\\\u' + $tw.utils.pad(s.charCodeAt(0).toString(16).toUpperCase(),4);\n\t\t}); // non-ASCII characters\n};\n\n/*\nEscape the RegExp special characters with a preceding backslash\n*/\nexports.escapeRegExp = function(s) {\n    return s.replace(/[\\-\\/\\\\\\^\\$\\*\\+\\?\\.\\(\\)\\|\\[\\]\\{\\}]/g, '\\\\$&');\n};\n\n// Checks whether a link target is external, i.e. not a tiddler title\nexports.isLinkExternal = function(to) {\n\tvar externalRegExp = /^(?:file|http|https|mailto|ftp|irc|news|data|skype):[^\\s<>{}\\[\\]`|\"\\\\^]+(?:\\/|\\b)/i;\n\treturn externalRegExp.test(to);\n};\n\nexports.nextTick = function(fn) {\n/*global window: false */\n\tif(typeof process === \"undefined\") {\n\t\t// Apparently it would be faster to use postMessage - http://dbaron.org/log/20100309-faster-timeouts\n\t\twindow.setTimeout(fn,4);\n\t} else {\n\t\tprocess.nextTick(fn);\n\t}\n};\n\n/*\nConvert a hyphenated CSS property name into a camel case one\n*/\nexports.unHyphenateCss = function(propName) {\n\treturn propName.replace(/-([a-z])/gi, function(match0,match1) {\n\t\treturn match1.toUpperCase();\n\t});\n};\n\n/*\nConvert a camelcase CSS property name into a dashed one (\"backgroundColor\" --> \"background-color\")\n*/\nexports.hyphenateCss = function(propName) {\n\treturn propName.replace(/([A-Z])/g, function(match0,match1) {\n\t\treturn \"-\" + match1.toLowerCase();\n\t});\n};\n\n/*\nParse a text reference of one of these forms:\n* title\n* !!field\n* title!!field\n* title##index\n* etc\nReturns an object with the following fields, all optional:\n* title: tiddler title\n* field: tiddler field name\n* index: JSON property index\n*/\nexports.parseTextReference = function(textRef) {\n\t// Separate out the title, field name and/or JSON indices\n\tvar reTextRef = /(?:(.*?)!!(.+))|(?:(.*?)##(.+))|(.*)/mg,\n\t\tmatch = reTextRef.exec(textRef),\n\t\tresult = {};\n\tif(match && reTextRef.lastIndex === textRef.length) {\n\t\t// Return the parts\n\t\tif(match[1]) {\n\t\t\tresult.title = match[1];\n\t\t}\n\t\tif(match[2]) {\n\t\t\tresult.field = match[2];\n\t\t}\n\t\tif(match[3]) {\n\t\t\tresult.title = match[3];\n\t\t}\n\t\tif(match[4]) {\n\t\t\tresult.index = match[4];\n\t\t}\n\t\tif(match[5]) {\n\t\t\tresult.title = match[5];\n\t\t}\n\t} else {\n\t\t// If we couldn't parse it\n\t\tresult.title = textRef\n\t}\n\treturn result;\n};\n\n/*\nChecks whether a string is a valid fieldname\n*/\nexports.isValidFieldName = function(name) {\n\tif(!name || typeof name !== \"string\") {\n\t\treturn false;\n\t}\n\tname = name.toLowerCase().trim();\n\tvar fieldValidatorRegEx = /^[a-z0-9\\-\\._]+$/mg;\n\treturn fieldValidatorRegEx.test(name);\n};\n\n/*\nExtract the version number from the meta tag or from the boot file\n*/\n\n// Browser version\nexports.extractVersionInfo = function() {\n\tif($tw.packageInfo) {\n\t\treturn $tw.packageInfo.version;\n\t} else {\n\t\tvar metatags = document.getElementsByTagName(\"meta\");\n\t\tfor(var t=0; t<metatags.length; t++) {\n\t\t\tvar m = metatags[t];\n\t\t\tif(m.name === \"tiddlywiki-version\") {\n\t\t\t\treturn m.content;\n\t\t\t}\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nGet the animation duration in ms\n*/\nexports.getAnimationDuration = function() {\n\treturn parseInt($tw.wiki.getTiddlerText(\"$:/config/AnimationDuration\",\"400\"),10) || 0;\n};\n\n/*\nHash a string to a number\nDerived from http://stackoverflow.com/a/15710692\n*/\nexports.hashString = function(str) {\n\treturn str.split(\"\").reduce(function(a,b) {\n\t\ta = ((a << 5) - a) + b.charCodeAt(0);\n\t\treturn a & a;\n\t},0);\n};\n\n/*\nDecode a base64 string\n*/\nexports.base64Decode = function(string64) {\n\treturn base64utf8.base64.decode.call(base64utf8,string64);\n};\n\n/*\nEncode a string to base64\n*/\nexports.base64Encode = function(string64) {\n\treturn base64utf8.base64.encode.call(base64utf8,string64);\n};\n\n/*\nConvert a hashmap into a tiddler dictionary format sequence of name:value pairs\n*/\nexports.makeTiddlerDictionary = function(data) {\n\tvar output = [];\n\tfor(var name in data) {\n\t\toutput.push(name + \": \" + data[name]);\n\t}\n\treturn output.join(\"\\n\");\n};\n\n/*\nHigh resolution microsecond timer for profiling\n*/\nexports.timer = function(base) {\n\tvar m;\n\tif($tw.node) {\n\t\tvar r = process.hrtime();\n\t\tm =  r[0] * 1e3 + (r[1] / 1e6);\n\t} else if(window.performance) {\n\t\tm = performance.now();\n\t} else {\n\t\tm = Date.now();\n\t}\n\tif(typeof base !== \"undefined\") {\n\t\tm = m - base;\n\t}\n\treturn m;\n};\n\n/*\nConvert text and content type to a data URI\n*/\nexports.makeDataUri = function(text,type,_canonical_uri) {\n\ttype = type || \"text/vnd.tiddlywiki\";\n\tvar typeInfo = $tw.config.contentTypeInfo[type] || $tw.config.contentTypeInfo[\"text/plain\"],\n\t\tisBase64 = typeInfo.encoding === \"base64\",\n\t\tparts = [];\n\tif(_canonical_uri) {\n\t\tparts.push(_canonical_uri);\n\t} else {\n\t\tparts.push(\"data:\");\n\t\tparts.push(type);\n\t\tparts.push(isBase64 ? \";base64\" : \"\");\n\t\tparts.push(\",\");\n\t\tparts.push(isBase64 ? text : encodeURIComponent(text));\t\t\n\t}\n\treturn parts.join(\"\");\n};\n\n/*\nUseful for finding out the fully escaped CSS selector equivalent to a given tag. For example:\n\n$tw.utils.tagToCssSelector(\"$:/tags/Stylesheet\") --> tc-tagged-\\%24\\%3A\\%2Ftags\\%2FStylesheet\n*/\nexports.tagToCssSelector = function(tagName) {\n\treturn \"tc-tagged-\" + encodeURIComponent(tagName).replace(/[!\"#$%&'()*+,\\-./:;<=>?@[\\\\\\]^`{\\|}~,]/mg,function(c) {\n\t\treturn \"\\\\\" + c;\n\t});\n};\n\n/*\nIE does not have sign function\n*/\nexports.sign = Math.sign || function(x) {\n\tx = +x; // convert to a number\n\tif (x === 0 || isNaN(x)) {\n\t\treturn x;\n\t}\n\treturn x > 0 ? 1 : -1;\n};\n\n/*\nIE does not have an endsWith function\n*/\nexports.strEndsWith = function(str,ending,position) {\n\tif(str.endsWith) {\n\t\treturn str.endsWith(ending,position);\n\t} else {\n\t\tif (typeof position !== 'number' || !isFinite(position) || Math.floor(position) !== position || position > str.length) {\n\t\t\tposition = str.length;\n\t\t}\n\t\tposition -= ending.length;\n\t\tvar lastIndex = str.indexOf(ending, position);\n\t\treturn lastIndex !== -1 && lastIndex === position;\n\t}\n};\n\n/*\nReturn system information useful for debugging\n*/\nexports.getSystemInfo = function(str,ending,position) {\n\tvar results = [],\n\t\tsave = function(desc,value) {\n\t\t\tresults.push(desc + \": \" + value);\n\t\t};\n\tif($tw.browser) {\n\t\tsave(\"User Agent\",navigator.userAgent);\n\t\tsave(\"Online Status\",window.navigator.onLine);\n\t}\n\tif($tw.node) {\n\t\tsave(\"Node Version\",process.version);\n\t}\n\treturn results.join(\"\\n\");\n};\n\nexports.parseNumber = function(str) {\n\treturn parseFloat(str) || 0;\n};\n\nexports.parseInt = function(str) {\n\treturn parseInt(str,10) || 0;\n};\n\nexports.stringifyNumber = function(num) {\n\treturn num + \"\";\n};\n\nexports.makeCompareFunction = function(type,options) {\n\toptions = options || {};\n\tvar gt = options.invert ? -1 : +1,\n\t\tlt = options.invert ? +1 : -1,\n\t\tcompare = function(a,b) {\n\t\t\tif(a > b) {\n\t\t\t\treturn gt ;\n\t\t\t} else if(a < b) {\n\t\t\t\treturn lt;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t},\n\t\ttypes = {\n\t\t\t\"number\": function(a,b) {\n\t\t\t\treturn compare($tw.utils.parseNumber(a),$tw.utils.parseNumber(b));\n\t\t\t},\n\t\t\t\"integer\": function(a,b) {\n\t\t\t\treturn compare($tw.utils.parseInt(a),$tw.utils.parseInt(b));\n\t\t\t},\n\t\t\t\"string\": function(a,b) {\n\t\t\t\treturn compare(\"\" + a,\"\" +b);\n\t\t\t},\n\t\t\t\"date\": function(a,b) {\n\t\t\t\tvar dateA = $tw.utils.parseDate(a),\n\t\t\t\t\tdateB = $tw.utils.parseDate(b);\n\t\t\t\tif(!isFinite(dateA)) {\n\t\t\t\t\tdateA = new Date(0);\n\t\t\t\t}\n\t\t\t\tif(!isFinite(dateB)) {\n\t\t\t\t\tdateB = new Date(0);\n\t\t\t\t}\n\t\t\t\treturn compare(dateA,dateB);\n\t\t\t},\n\t\t\t\"version\": function(a,b) {\n\t\t\t\treturn $tw.utils.compareVersions(a,b);\n\t\t\t}\n\t\t};\n\treturn (types[type] || types[options.defaultType] || types.number);\n};\n\n})();\n",
            "type": "application/javascript",
            "module-type": "utils"
        },
        "$:/core/modules/widgets/action-confirm.js": {
            "title": "$:/core/modules/widgets/action-confirm.js",
            "text": "/*\\\n\ntitle: $:/core/modules/widgets/action-confirm.js\ntype: application/javascript\nmodule-type: widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ConfirmWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nConfirmWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nConfirmWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.parentDomNode = parent;\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nConfirmWidget.prototype.execute = function() {\n\tthis.message = this.getAttribute(\"$message\",$tw.language.getString(\"ConfirmAction\"));\n\tthis.prompt = (this.getAttribute(\"$prompt\",\"yes\") == \"no\" ? false : true);\n\tthis.makeChildWidgets();\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nConfirmWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$message\"] || changedAttributes[\"$prompt\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nConfirmWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar invokeActions = true,\n\t\thandled = true;\n\tif(this.prompt) {\n\t\tinvokeActions = confirm(this.message);\n\t}\n\tif(invokeActions) {\n\t\thandled = this.invokeActions(triggeringWidget,event);\n\t}\n\treturn handled;\n};\n\nConfirmWidget.prototype.allowActionPropagation = function() {\n\treturn false;\n};\n\nexports[\"action-confirm\"] = ConfirmWidget;\n\n})();",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/action-createtiddler.js": {
            "title": "$:/core/modules/widgets/action-createtiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/action-createtiddler.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to create a new tiddler with a unique name and specified fields.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw:false, require:false, exports:false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CreateTiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCreateTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCreateTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nCreateTiddlerWidget.prototype.execute = function() {\n\tthis.actionBaseTitle = this.getAttribute(\"$basetitle\");\n\tthis.hasBase = !!this.actionBaseTitle;\n\tthis.actionSaveTitle = this.getAttribute(\"$savetitle\");\n\tthis.actionSaveDraftTitle = this.getAttribute(\"$savedrafttitle\");\n\tthis.actionTimestamp = this.getAttribute(\"$timestamp\",\"yes\") === \"yes\";\n\t//Following params are new since 5.1.22\n\tthis.actionTemplate = this.getAttribute(\"$template\");\n\tthis.useTemplate = !!this.actionTemplate;\n\tthis.actionOverwrite = this.getAttribute(\"$overwrite\",\"no\");\n\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nCreateTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nCreateTiddlerWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar title = this.wiki.getTiddlerText(\"$:/language/DefaultNewTiddlerTitle\"), // Get the initial new-tiddler title\n\t\tfields = {},\n\t\tcreationFields,\n\t\tmodificationFields;\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tfields[name] = attribute;\n\t\t}\n\t});\n\tif(this.actionTimestamp) {\n\t\tcreationFields = this.wiki.getCreationFields();\n\t\tmodificationFields = this.wiki.getModificationFields();\n\t}\n\tif(this.hasBase && this.actionOverwrite === \"no\") {\n\t\ttitle = this.wiki.generateNewTitle(this.actionBaseTitle);\n\t} else if (this.hasBase && this.actionOverwrite === \"yes\") {\n\t\ttitle = this.actionBaseTitle\n\t}\n\t// NO $basetitle BUT $template parameter is available\n\t// the title MUST be unique, otherwise the template would be overwritten\n\tif (!this.hasBase && this.useTemplate) {\n\t\ttitle = this.wiki.generateNewTitle(this.actionTemplate);\n\t} else if (!this.hasBase && !this.useTemplate) {\n\t\t// If NO $basetitle AND NO $template use initial title\n\t\t// DON'T overwrite any stuff\n\t\ttitle = this.wiki.generateNewTitle(title);\n\t}\n\tvar templateTiddler = this.wiki.getTiddler(this.actionTemplate) || {};\n\tvar tiddler = this.wiki.addTiddler(new $tw.Tiddler(templateTiddler.fields,creationFields,fields,modificationFields,{title: title}));\n\tif(this.actionSaveTitle) {\n\t\tthis.wiki.setTextReference(this.actionSaveTitle,title,this.getVariable(\"currentTiddler\"));\n\t}\n\tif(this.actionSaveDraftTitle) {\n\t\tthis.wiki.setTextReference(this.actionSaveDraftTitle,this.wiki.generateDraftTitle(title),this.getVariable(\"currentTiddler\"));\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-createtiddler\"] = CreateTiddlerWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/action-deletefield.js": {
            "title": "$:/core/modules/widgets/action-deletefield.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/action-deletefield.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to delete fields of a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DeleteFieldWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDeleteFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDeleteFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nDeleteFieldWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nDeleteFieldWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nDeleteFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar self = this,\n\t\ttiddler = this.wiki.getTiddler(self.actionTiddler),\n\t\tremoveFields = {},\n\t\thasChanged = false;\n\tif(this.actionField && tiddler) {\n\t\tremoveFields[this.actionField] = undefined;\n\t\tif(this.actionField in tiddler.fields) {\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\tif(tiddler) {\n\t\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\t\tif(name.charAt(0) !== \"$\" && name !== \"title\") {\n\t\t\t\tremoveFields[name] = undefined;\n\t\t\t\thasChanged = true;\n\t\t\t}\n\t\t});\n\t\tif(hasChanged) {\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),tiddler,removeFields,this.wiki.getModificationFields()));\t\t\t\n\t\t}\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-deletefield\"] = DeleteFieldWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/action-deletetiddler.js": {
            "title": "$:/core/modules/widgets/action-deletetiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/action-deletetiddler.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to delete a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DeleteTiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDeleteTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDeleteTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nDeleteTiddlerWidget.prototype.execute = function() {\n\tthis.actionFilter = this.getAttribute(\"$filter\");\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nDeleteTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$filter\"] || changedAttributes[\"$tiddler\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nDeleteTiddlerWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar tiddlers = [];\n\tif(this.actionFilter) {\n\t\ttiddlers = this.wiki.filterTiddlers(this.actionFilter,this);\n\t}\n\tif(this.actionTiddler) {\n\t\ttiddlers.push(this.actionTiddler);\n\t}\n\tfor(var t=0; t<tiddlers.length; t++) {\n\t\tthis.wiki.deleteTiddler(tiddlers[t]);\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-deletetiddler\"] = DeleteTiddlerWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/action-listops.js": {
            "title": "$:/core/modules/widgets/action-listops.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/action-listops.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to apply list operations to any tiddler field (defaults to the 'list' field of the current tiddler)\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\nvar ActionListopsWidget = function(parseTreeNode, options) {\n\tthis.initialise(parseTreeNode, options);\n};\n/**\n * Inherit from the base widget class\n */\nActionListopsWidget.prototype = new Widget();\n/**\n * Render this widget into the DOM\n */\nActionListopsWidget.prototype.render = function(parent, nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n/**\n * Compute the internal state of the widget\n */\nActionListopsWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.target = this.getAttribute(\"$tiddler\", this.getVariable(\n\t\t\"currentTiddler\"));\n\tthis.filter = this.getAttribute(\"$filter\");\n\tthis.subfilter = this.getAttribute(\"$subfilter\");\n\tthis.listField = this.getAttribute(\"$field\", \"list\");\n\tthis.listIndex = this.getAttribute(\"$index\");\n\tthis.filtertags = this.getAttribute(\"$tags\");\n};\n/**\n * \tRefresh the widget by ensuring our attributes are up to date\n */\nActionListopsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.$tiddler || changedAttributes.$filter ||\n\t\tchangedAttributes.$subfilter || changedAttributes.$field ||\n\t\tchangedAttributes.$index || changedAttributes.$tags) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n/**\n * \tInvoke the action associated with this widget\n */\nActionListopsWidget.prototype.invokeAction = function(triggeringWidget,\n\tevent) {\n\t//Apply the specified filters to the lists\n\tvar field = this.listField,\n\t\tindex,\n\t\ttype = \"!!\",\n\t\tlist = this.listField;\n\tif(this.listIndex) {\n\t\tfield = undefined;\n\t\tindex = this.listIndex;\n\t\ttype = \"##\";\n\t\tlist = this.listIndex;\n\t}\n\tif(this.filter) {\n\t\tthis.wiki.setText(this.target, field, index, $tw.utils.stringifyList(\n\t\t\tthis.wiki\n\t\t\t.filterTiddlers(this.filter, this)));\n\t}\n\tif(this.subfilter) {\n\t\tvar subfilter = \"[list[\" + this.target + type + list + \"]] \" + this.subfilter;\n\t\tthis.wiki.setText(this.target, field, index, $tw.utils.stringifyList(\n\t\t\tthis.wiki\n\t\t\t.filterTiddlers(subfilter, this)));\n\t}\n\tif(this.filtertags) {\n\t\tvar tiddler = this.wiki.getTiddler(this.target),\n\t\t\toldtags = tiddler ? (tiddler.fields.tags || []).slice(0) : [],\n\t\t\ttagfilter = \"[list[\" + this.target + \"!!tags]] \" + this.filtertags,\n\t\t\tnewtags = this.wiki.filterTiddlers(tagfilter,this);\n\t\tif($tw.utils.stringifyList(oldtags.sort()) !== $tw.utils.stringifyList(newtags.sort())) {\n\t\t\tthis.wiki.setText(this.target,\"tags\",undefined,$tw.utils.stringifyList(newtags));\t\t\t\n\t\t}\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-listops\"] = ActionListopsWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/action-log.js": {
            "title": "$:/core/modules/widgets/action-log.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/action-log.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to log debug messages\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LogWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nLogWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLogWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\nLogWidget.prototype.execute = function(){\n\tthis.message = this.getAttribute(\"$$message\",\"debug\");\n\tthis.logAll = this.getAttribute(\"$$all\",\"no\") === \"yes\" ? true : false;\n\tthis.filter = this.getAttribute(\"$$filter\");\n}\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nLogWidget.prototype.refresh = function(changedTiddlers) {\n\tthis.refreshSelf();\n\treturn true;\n};\n\n/*\nInvoke the action associated with this widget\n*/\nLogWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tthis.log();\n\treturn true; // Action was invoked\n};\n\nLogWidget.prototype.log = function() {\n\tvar data = {},\n\t\tdataCount,\n\t\tallVars = {},\n\t\tfilteredVars;\n\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.substring(0,2) !== \"$$\") {\n\t\t\tdata[name] = attribute;\n\t\t}\t\t\n\t});\n\n\tfor(var v in this.variables) {\n\t\tallVars[v] = this.getVariable(v,{defaultValue:\"\"});\n\t}\t\n\tif(this.filter) {\n\t\tfilteredVars = this.wiki.compileFilter(this.filter).call(this.wiki,this.wiki.makeTiddlerIterator(allVars));\n\t\t$tw.utils.each(filteredVars,function(name) {\n\t\t\tdata[name] = allVars[name];\n\t\t});\t\t\n\t}\n\tdataCount = $tw.utils.count(data);\n\n\tconsole.group(this.message);\n\tif(dataCount > 0) {\n\t\t$tw.utils.logTable(data);\n\t}\n\tif(this.logAll || !dataCount) {\n\t\tconsole.groupCollapsed(\"All variables\");\n\t\t$tw.utils.logTable(allVars);\n\t\tconsole.groupEnd();\n\t}\n\tconsole.groupEnd();\n}\n\nexports[\"action-log\"] = LogWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/action-navigate.js": {
            "title": "$:/core/modules/widgets/action-navigate.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/action-navigate.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to navigate to a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar NavigateWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nNavigateWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nNavigateWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nNavigateWidget.prototype.execute = function() {\n\tthis.actionTo = this.getAttribute(\"$to\");\n\tthis.actionScroll = this.getAttribute(\"$scroll\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nNavigateWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$to\"] || changedAttributes[\"$scroll\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nNavigateWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tevent = event || {};\n\tvar bounds = triggeringWidget && triggeringWidget.getBoundingClientRect && triggeringWidget.getBoundingClientRect(),\n\t\tsuppressNavigation = event.metaKey || event.ctrlKey || (event.button === 1);\n\tif(this.actionScroll === \"yes\") {\n\t\tsuppressNavigation = false;\n\t} else if(this.actionScroll === \"no\") {\n\t\tsuppressNavigation = true;\n\t}\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.actionTo === undefined ? this.getVariable(\"currentTiddler\") : this.actionTo,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: triggeringWidget,\n\t\tnavigateFromClientRect: bounds && { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: suppressNavigation\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-navigate\"] = NavigateWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/action-popup.js": {
            "title": "$:/core/modules/widgets/action-popup.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/action-popup.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to trigger a popup.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ActionPopupWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nActionPopupWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nActionPopupWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nActionPopupWidget.prototype.execute = function() {\n\tthis.actionState = this.getAttribute(\"$state\");\n\tthis.actionCoords = this.getAttribute(\"$coords\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nActionPopupWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$state\"] || changedAttributes[\"$coords\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nActionPopupWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\t// Trigger the popup\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/,\n\t\tmatch = popupLocationRegExp.exec(this.actionCoords || \"\");\n\tif(match) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: null,\n\t\t\tdomNodeRect: {\n\t\t\t\tleft: parseFloat(match[1]),\n\t\t\t\ttop: parseFloat(match[2]),\n\t\t\t\twidth: parseFloat(match[3]),\n\t\t\t\theight: parseFloat(match[4])\n\t\t\t},\n\t\t\ttitle: this.actionState,\n\t\t\twiki: this.wiki\n\t\t});\n\t} else {\n\t\t$tw.popup.cancel(0);\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-popup\"] = ActionPopupWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/action-sendmessage.js": {
            "title": "$:/core/modules/widgets/action-sendmessage.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/action-sendmessage.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to send a message\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SendMessageWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSendMessageWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSendMessageWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nSendMessageWidget.prototype.execute = function() {\n\tthis.actionMessage = this.getAttribute(\"$message\");\n\tthis.actionParam = this.getAttribute(\"$param\");\n\tthis.actionName = this.getAttribute(\"$name\");\n\tthis.actionValue = this.getAttribute(\"$value\",\"\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSendMessageWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(Object.keys(changedAttributes).length) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nSendMessageWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\t// Get the string parameter\n\tvar param = this.actionParam;\n\t// Assemble the attributes as a hashmap\n\tvar paramObject = Object.create(null);\n\tvar count = 0;\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tparamObject[name] = attribute;\n\t\t\tcount++;\n\t\t}\n\t});\n\t// Add name/value pair if present\n\tif(this.actionName) {\n\t\tparamObject[this.actionName] = this.actionValue;\n\t}\n\t// Dispatch the message\n\tthis.dispatchEvent({\n\t\ttype: this.actionMessage,\n\t\tparam: param,\n\t\tparamObject: paramObject,\n\t\ttiddlerTitle: this.getVariable(\"currentTiddler\"),\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tevent: event\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-sendmessage\"] = SendMessageWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/action-setfield.js": {
            "title": "$:/core/modules/widgets/action-setfield.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/action-setfield.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to set a single field or index on a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetFieldWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetFieldWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\");\n\tthis.actionIndex = this.getAttribute(\"$index\");\n\tthis.actionValue = this.getAttribute(\"$value\");\n\tthis.actionTimestamp = this.getAttribute(\"$timestamp\",\"yes\") === \"yes\";\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSetFieldWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"] || changedAttributes[\"$field\"] || changedAttributes[\"$index\"] || changedAttributes[\"$value\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nSetFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar self = this,\n\t\toptions = {};\n\toptions.suppressTimestamp = !this.actionTimestamp;\n\tif((typeof this.actionField == \"string\") || (typeof this.actionIndex == \"string\")  || (typeof this.actionValue == \"string\")) {\n\t\tthis.wiki.setText(this.actionTiddler,this.actionField,this.actionIndex,this.actionValue,options);\n\t}\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tself.wiki.setText(self.actionTiddler,name,undefined,attribute,options);\n\t\t}\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-setfield\"] = SetFieldWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/browse.js": {
            "title": "$:/core/modules/widgets/browse.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/browse.js\ntype: application/javascript\nmodule-type: widget\n\nBrowse widget for browsing for files to import\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar BrowseWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nBrowseWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nBrowseWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar domNode = this.document.createElement(\"input\");\n\tdomNode.setAttribute(\"type\",\"file\");\n\tif(this.browseMultiple) {\n\t\tdomNode.setAttribute(\"multiple\",\"multiple\");\n\t}\n\tif(this.tooltip) {\n\t\tdomNode.setAttribute(\"title\",this.tooltip);\n\t}\n\t// Nw.js supports \"nwsaveas\" to force a \"save as\" dialogue that allows a new or existing file to be selected\n\tif(this.nwsaveas) {\n\t\tdomNode.setAttribute(\"nwsaveas\",this.nwsaveas);\n\t}\n\tif(this.accept) {\n\t\tdomNode.setAttribute(\"accept\",this.accept);\n\t}\n\t// Nw.js supports \"webkitdirectory\" and \"nwdirectory\" to allow a directory to be selected\n\tif(this.webkitdirectory) {\n\t\tdomNode.setAttribute(\"webkitdirectory\",this.webkitdirectory);\n\t}\n\tif(this.nwdirectory) {\n\t\tdomNode.setAttribute(\"nwdirectory\",this.nwdirectory);\n\t}\n\t// Add a click event handler\n\tdomNode.addEventListener(\"change\",function (event) {\n\t\tif(self.message) {\n\t\t\tself.dispatchEvent({type: self.message, param: self.param, files: event.target.files});\n\t\t} else {\n\t\t\tself.wiki.readFiles(event.target.files,{\n\t\t\t\tcallback: function(tiddlerFieldsArray) {\n\t\t\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t\t\t},\n\t\t\t\tdeserializer: self.deserializer\n\t\t\t});\n\t\t}\n\t\treturn false;\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nBrowseWidget.prototype.execute = function() {\n\tthis.browseMultiple = this.getAttribute(\"multiple\");\n\tthis.deserializer = this.getAttribute(\"deserializer\");\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis.nwsaveas = this.getAttribute(\"nwsaveas\");\n\tthis.accept = this.getAttribute(\"accept\");\n\tthis.webkitdirectory = this.getAttribute(\"webkitdirectory\");\n\tthis.nwdirectory = this.getAttribute(\"nwdirectory\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nBrowseWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.browse = BrowseWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/button.js": {
            "title": "$:/core/modules/widgets/button.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/button.js\ntype: application/javascript\nmodule-type: widget\n\nButton widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ButtonWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nButtonWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nButtonWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this,\n\t\ttag = \"button\",\n\t\tdomNode;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tif(this.buttonTag && $tw.config.htmlUnsafeElements.indexOf(this.buttonTag) === -1) {\n\t\ttag = this.buttonTag;\n\t}\n\tdomNode = this.document.createElement(tag);\n\tthis.domNode = domNode;\n\t// Assign classes\n\tvar classes = this[\"class\"].split(\" \") || [],\n\t\tisPoppedUp = (this.popup || this.popupTitle) && this.isPoppedUp();\n\tif(this.selectedClass) {\n\t\tif((this.set || this.setTitle) && this.setTo && this.isSelected()) {\n\t\t\t$tw.utils.pushTop(classes,this.selectedClass.split(\" \"));\n\t\t}\n\t\tif(isPoppedUp) {\n\t\t\t$tw.utils.pushTop(classes,this.selectedClass.split(\" \"));\n\t\t}\n\t}\n\tif(isPoppedUp) {\n\t\t$tw.utils.pushTop(classes,\"tc-popup-handle\");\n\t}\n\tdomNode.className = classes.join(\" \");\n\t// Assign other attributes\n\tif(this.style) {\n\t\tdomNode.setAttribute(\"style\",this.style);\n\t}\n\tif(this.tooltip) {\n\t\tdomNode.setAttribute(\"title\",this.tooltip);\n\t}\n\tif(this[\"aria-label\"]) {\n\t\tdomNode.setAttribute(\"aria-label\",this[\"aria-label\"]);\n\t}\n\t// Set the tabindex\n\tif(this.tabIndex) {\n\t\tdomNode.setAttribute(\"tabindex\",this.tabIndex);\n\t}\n\tif(this.isDisabled === \"yes\") {\n\t\tdomNode.setAttribute(\"disabled\",true);\n\t}\n\t// Add a click event handler\n\tdomNode.addEventListener(\"click\",function (event) {\n\t\tvar handled = false;\n\t\tif(self.invokeActions(self,event)) {\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.to) {\n\t\t\tself.navigateTo(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.message) {\n\t\t\tself.dispatchMessage(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.popup || self.popupTitle) {\n\t\t\tself.triggerPopup(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.set || self.setTitle) {\n\t\t\tself.setTiddler();\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.actions) {\n\t\t\tvar modifierKey = $tw.keyboardManager.getEventModifierKeyDescriptor(event);\n\t\t\tself.invokeActionString(self.actions,self,event,{modifier: modifierKey});\n\t\t}\n\t\tif(handled) {\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t}\n\t\treturn handled;\n\t},false);\n\t// Make it draggable if required\n\tif(this.dragTiddler || this.dragFilter) {\n\t\t$tw.utils.makeDraggable({\n\t\t\tdomNode: domNode,\n\t\t\tdragTiddlerFn: function() {return self.dragTiddler;},\n\t\t\tdragFilterFn: function() {return self.dragFilter;},\n\t\t\twidget: this\n\t\t});\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nWe don't allow actions to propagate because we trigger actions ourselves\n*/\nButtonWidget.prototype.allowActionPropagation = function() {\n\treturn false;\n};\n\nButtonWidget.prototype.getBoundingClientRect = function() {\n\treturn this.domNodes[0].getBoundingClientRect();\n};\n\nButtonWidget.prototype.isSelected = function() {\n    return this.setTitle ? (this.setField ? this.wiki.getTiddler(this.setTitle).getFieldString(this.setField) === this.setTo :\n\t\t(this.setIndex ? this.wiki.extractTiddlerDataItem(this.setTitle,this.setIndex) === this.setTo :\n\t\t\tthis.wiki.getTiddlerText(this.setTitle))) || this.defaultSetValue || this.getVariable(\"currentTiddler\") :\n\t\tthis.wiki.getTextReference(this.set,this.defaultSetValue,this.getVariable(\"currentTiddler\")) === this.setTo;\n};\n\nButtonWidget.prototype.isPoppedUp = function() {\n\tvar tiddler = this.popupTitle ? this.wiki.getTiddler(this.popupTitle) : this.wiki.getTiddler(this.popup);\n\tvar result = tiddler && tiddler.fields.text ? $tw.popup.readPopupState(tiddler.fields.text) : false;\n\treturn result;\n};\n\nButtonWidget.prototype.navigateTo = function(event) {\n\tvar bounds = this.getBoundingClientRect();\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.to,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: this,\n\t\tnavigateFromClientRect: { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: event.metaKey || event.ctrlKey || (event.button === 1),\n\t\tevent: event\n\t});\n};\n\nButtonWidget.prototype.dispatchMessage = function(event) {\n\tthis.dispatchEvent({type: this.message, param: this.param, tiddlerTitle: this.getVariable(\"currentTiddler\"), event: event});\n};\n\nButtonWidget.prototype.triggerPopup = function(event) {\n\tif(this.popupTitle) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNodes[0],\n\t\t\ttitle: this.popupTitle,\n\t\t\twiki: this.wiki,\n\t\t\tnoStateReference: true\n\t\t});\n\t} else {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNodes[0],\n\t\t\ttitle: this.popup,\n\t\t\twiki: this.wiki\n\t\t});\n\t}\n};\n\nButtonWidget.prototype.setTiddler = function() {\n\tif(this.setTitle) {\n\t\tthis.setField ? this.wiki.setText(this.setTitle,this.setField,undefined,this.setTo) :\n\t\t\t\t(this.setIndex ? this.wiki.setText(this.setTitle,undefined,this.setIndex,this.setTo) :\n\t\t\t\tthis.wiki.setText(this.setTitle,\"text\",undefined,this.setTo));\n\t} else {\n\t\tthis.wiki.setTextReference(this.set,this.setTo,this.getVariable(\"currentTiddler\"));\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nButtonWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.actions = this.getAttribute(\"actions\");\n\tthis.to = this.getAttribute(\"to\");\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.set = this.getAttribute(\"set\");\n\tthis.setTo = this.getAttribute(\"setTo\");\n\tthis.popup = this.getAttribute(\"popup\");\n\tthis.hover = this.getAttribute(\"hover\");\n\tthis[\"aria-label\"] = this.getAttribute(\"aria-label\");\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis.style = this.getAttribute(\"style\");\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tthis.selectedClass = this.getAttribute(\"selectedClass\");\n\tthis.defaultSetValue = this.getAttribute(\"default\",\"\");\n\tthis.buttonTag = this.getAttribute(\"tag\");\n\tthis.dragTiddler = this.getAttribute(\"dragTiddler\");\n\tthis.dragFilter = this.getAttribute(\"dragFilter\");\n\tthis.setTitle = this.getAttribute(\"setTitle\");\n\tthis.setField = this.getAttribute(\"setField\");\n\tthis.setIndex = this.getAttribute(\"setIndex\");\n\tthis.popupTitle = this.getAttribute(\"popupTitle\");\n\tthis.tabIndex = this.getAttribute(\"tabindex\");\n\tthis.isDisabled = this.getAttribute(\"disabled\",\"no\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\nButtonWidget.prototype.updateDomNodeClasses = function() {\n\tvar domNodeClasses = this.domNode.className.split(\" \"),\n\t\toldClasses = this.class.split(\" \"),\n\t\tnewClasses;\t\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tnewClasses = this.class.split(\" \");\n\t//Remove classes assigned from the old value of class attribute\n\t$tw.utils.each(oldClasses,function(oldClass){\n\t\tvar i = domNodeClasses.indexOf(oldClass);\n\t\tif(i !== -1) {\n\t\t\tdomNodeClasses.splice(i,1);\n\t\t}\n\t});\n\t//Add new classes from updated class attribute.\n\t$tw.utils.pushTop(domNodeClasses,newClasses);\n\tthis.domNode.className = domNodeClasses.join(\" \");\n}\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nButtonWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.actions || changedAttributes.to || changedAttributes.message || changedAttributes.param || changedAttributes.set || changedAttributes.setTo || changedAttributes.popup || changedAttributes.hover || changedAttributes.selectedClass || changedAttributes.style || changedAttributes.dragFilter || changedAttributes.dragTiddler || (this.set && changedTiddlers[this.set]) || (this.popup && changedTiddlers[this.popup]) || (this.popupTitle && changedTiddlers[this.popupTitle]) || changedAttributes.setTitle || changedAttributes.setField || changedAttributes.setIndex || changedAttributes.popupTitle || changedAttributes.disabled) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else if(changedAttributes[\"class\"]) {\n\t\tthis.updateDomNodeClasses();\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.button = ButtonWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/checkbox.js": {
            "title": "$:/core/modules/widgets/checkbox.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/checkbox.js\ntype: application/javascript\nmodule-type: widget\n\nCheckbox widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CheckboxWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCheckboxWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCheckboxWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our elements\n\tthis.labelDomNode = this.document.createElement(\"label\");\n\tthis.labelDomNode.setAttribute(\"class\",this.checkboxClass);\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"checkbox\");\n\tif(this.getValue()) {\n\t\tthis.inputDomNode.setAttribute(\"checked\",\"true\");\n\t}\n\tif(this.isDisabled === \"yes\") {\n\t\tthis.inputDomNode.setAttribute(\"disabled\",true);\n\t}\n\tthis.labelDomNode.appendChild(this.inputDomNode);\n\tthis.spanDomNode = this.document.createElement(\"span\");\n\tthis.labelDomNode.appendChild(this.spanDomNode);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.labelDomNode,nextSibling);\n\tthis.renderChildren(this.spanDomNode,null);\n\tthis.domNodes.push(this.labelDomNode);\n};\n\nCheckboxWidget.prototype.getValue = function() {\n\tvar tiddler = this.wiki.getTiddler(this.checkboxTitle);\n\tif(tiddler) {\n\t\tif(this.checkboxTag) {\n\t\t\tif(this.checkboxInvertTag) {\n\t\t\t\treturn !tiddler.hasTag(this.checkboxTag);\n\t\t\t} else {\n\t\t\t\treturn tiddler.hasTag(this.checkboxTag);\n\t\t\t}\n\t\t}\n\t\tif(this.checkboxField) {\n\t\t\tvar value;\n\t\t\tif($tw.utils.hop(tiddler.fields,this.checkboxField)) {\n\t\t\t\tvalue = tiddler.fields[this.checkboxField] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = this.checkboxDefault || \"\";\n\t\t\t}\n\t\t\tif(value === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(value === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t\tif(this.checkboxIndex) {\n\t\t\tvar value = this.wiki.extractTiddlerDataItem(tiddler,this.checkboxIndex,this.checkboxDefault || \"\");\n\t\t\tif(value === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(value === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t} else {\n\t\tif(this.checkboxTag) {\n\t\t\treturn false;\n\t\t}\n\t\tif(this.checkboxField) {\n\t\t\tif(this.checkboxDefault === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(this.checkboxDefault === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\nCheckboxWidget.prototype.handleChangeEvent = function(event) {\n\tvar checked = this.inputDomNode.checked,\n\t\ttiddler = this.wiki.getTiddler(this.checkboxTitle),\n\t\tfallbackFields = {text: \"\"},\n\t\tnewFields = {title: this.checkboxTitle},\n\t\thasChanged = false,\n\t\ttagCheck = false,\n\t\thasTag = tiddler && tiddler.hasTag(this.checkboxTag),\n\t\tvalue = checked ? this.checkboxChecked : this.checkboxUnchecked;\n\tif(this.checkboxTag && this.checkboxInvertTag === \"yes\") {\n\t\ttagCheck = hasTag === checked;\n\t} else {\n\t\ttagCheck = hasTag !== checked;\n\t}\n\t// Set the tag if specified\n\tif(this.checkboxTag && (!tiddler || tagCheck)) {\n\t\tnewFields.tags = tiddler ? (tiddler.fields.tags || []).slice(0) : [];\n\t\tvar pos = newFields.tags.indexOf(this.checkboxTag);\n\t\tif(pos !== -1) {\n\t\t\tnewFields.tags.splice(pos,1);\n\t\t}\n\t\tif(this.checkboxInvertTag === \"yes\" && !checked) {\n\t\t\tnewFields.tags.push(this.checkboxTag);\n\t\t} else if(this.checkboxInvertTag !== \"yes\" && checked) {\n\t\t\tnewFields.tags.push(this.checkboxTag);\n\t\t}\n\t\thasChanged = true;\n\t}\n\t// Set the field if specified\n\tif(this.checkboxField) {\n\t\tif(!tiddler || tiddler.fields[this.checkboxField] !== value) {\n\t\t\tnewFields[this.checkboxField] = value;\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\t// Set the index if specified\n\tif(this.checkboxIndex) {\n\t\tvar indexValue = this.wiki.extractTiddlerDataItem(this.checkboxTitle,this.checkboxIndex);\n\t\tif(!tiddler || indexValue !== value) {\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\tif(hasChanged) {\n\t\tif(this.checkboxIndex) {\n\t\t\tthis.wiki.setText(this.checkboxTitle,\"\",this.checkboxIndex,value);\n\t\t} else {\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),fallbackFields,tiddler,newFields,this.wiki.getModificationFields()));\n\t\t}\n\t}\n\t// Trigger actions\n\tif(this.checkboxActions) {\n\t\tthis.invokeActionString(this.checkboxActions,this,event);\n\t}\n\tif(this.checkboxCheckActions && checked) {\n\t\tthis.invokeActionString(this.checkboxCheckActions,this,event);\n\t}\n\tif(this.checkboxUncheckActions && !checked) {\n\t\tthis.invokeActionString(this.checkboxUncheckActions,this,event);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nCheckboxWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.checkboxActions = this.getAttribute(\"actions\");\n\tthis.checkboxCheckActions = this.getAttribute(\"checkactions\");\n\tthis.checkboxUncheckActions = this.getAttribute(\"uncheckactions\");\n\tthis.checkboxTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.checkboxTag = this.getAttribute(\"tag\");\n\tthis.checkboxField = this.getAttribute(\"field\");\n\tthis.checkboxIndex = this.getAttribute(\"index\");\n\tthis.checkboxChecked = this.getAttribute(\"checked\");\n\tthis.checkboxUnchecked = this.getAttribute(\"unchecked\");\n\tthis.checkboxDefault = this.getAttribute(\"default\");\n\tthis.checkboxClass = this.getAttribute(\"class\",\"\");\n\tthis.checkboxInvertTag = this.getAttribute(\"invertTag\",\"\");\n\tthis.isDisabled = this.getAttribute(\"disabled\",\"no\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCheckboxWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.tag || changedAttributes.invertTag || changedAttributes.field || changedAttributes.index || changedAttributes.checked || changedAttributes.unchecked || changedAttributes[\"default\"] || changedAttributes[\"class\"] || changedAttributes.disabled) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.checkboxTitle]) {\n\t\t\tthis.inputDomNode.checked = this.getValue();\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.checkbox = CheckboxWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/codeblock.js": {
            "title": "$:/core/modules/widgets/codeblock.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/codeblock.js\ntype: application/javascript\nmodule-type: widget\n\nCode block node widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CodeBlockWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCodeBlockWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCodeBlockWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar codeNode = this.document.createElement(\"code\"),\n\t\tdomNode = this.document.createElement(\"pre\");\n\tcodeNode.appendChild(this.document.createTextNode(this.getAttribute(\"code\")));\n\tdomNode.appendChild(codeNode);\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n\tif(this.postRender) {\n\t\tthis.postRender();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nCodeBlockWidget.prototype.execute = function() {\n\tthis.language = this.getAttribute(\"language\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCodeBlockWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.codeblock = CodeBlockWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/count.js": {
            "title": "$:/core/modules/widgets/count.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/count.js\ntype: application/javascript\nmodule-type: widget\n\nCount widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CountWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCountWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCountWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.currentCount);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nCountWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.filter = this.getAttribute(\"filter\");\n\t// Execute the filter\n\tif(this.filter) {\n\t\tthis.currentCount = this.wiki.filterTiddlers(this.filter,this).length;\n\t} else {\n\t\tthis.currentCount = \"0\";\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCountWidget.prototype.refresh = function(changedTiddlers) {\n\t// Re-execute the filter to get the count\n\tthis.computeAttributes();\n\tvar oldCount = this.currentCount;\n\tthis.execute();\n\tif(this.currentCount !== oldCount) {\n\t\t// Regenerate and rerender the widget and replace the existing DOM node\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n\n};\n\nexports.count = CountWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/diff-text.js": {
            "title": "$:/core/modules/widgets/diff-text.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/diff-text.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to display a diff between two texts\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget,\n\tdmp = require(\"$:/core/modules/utils/diff-match-patch/diff_match_patch.js\");\n\nvar DiffTextWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDiffTextWidget.prototype = new Widget();\n\nDiffTextWidget.prototype.invisibleCharacters = {\n\t\"\\n\": \"↩︎\\n\",\n\t\"\\r\": \"⇠\",\n\t\"\\t\": \"⇥\\t\"\n};\n\n/*\nRender this widget into the DOM\n*/\nDiffTextWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create the diff\n\tvar dmpObject = new dmp.diff_match_patch(),\n\t\tdiffs = dmpObject.diff_main(this.getAttribute(\"source\"),this.getAttribute(\"dest\"));\n\t// Apply required cleanup\n\tswitch(this.getAttribute(\"cleanup\",\"semantic\")) {\n\t\tcase \"none\":\n\t\t\t// No cleanup\n\t\t\tbreak;\n\t\tcase \"efficiency\":\n\t\t\tdmpObject.diff_cleanupEfficiency(diffs);\n\t\t\tbreak;\n\t\tdefault: // case \"semantic\"\n\t\t\tdmpObject.diff_cleanupSemantic(diffs);\n\t\t\tbreak;\n\t}\n\t// Create the elements\n\tvar domContainer = this.document.createElement(\"div\"), \n\t\tdomDiff = this.createDiffDom(diffs);\n\tparent.insertBefore(domContainer,nextSibling);\n\t// Set variables\n\tthis.setVariable(\"diff-count\",diffs.reduce(function(acc,diff) {\n\t\tif(diff[0] !== dmp.DIFF_EQUAL) {\n\t\t\tacc++;\n\t\t}\n\t\treturn acc;\n\t},0).toString());\n\t// Render child widgets\n\tthis.renderChildren(domContainer,null);\n\t// Render the diff\n\tdomContainer.appendChild(domDiff);\n\t// Save our container\n\tthis.domNodes.push(domContainer);\n};\n\n/*\nCreate DOM elements representing a list of diffs\n*/\nDiffTextWidget.prototype.createDiffDom = function(diffs) {\n\tvar self = this;\n\t// Create the element and assign the attributes\n\tvar domPre = this.document.createElement(\"pre\"),\n\t\tdomCode = this.document.createElement(\"code\");\n\t$tw.utils.each(diffs,function(diff) {\n\t\tvar tag = diff[0] === dmp.DIFF_INSERT ? \"ins\" : (diff[0] === dmp.DIFF_DELETE ? \"del\" : \"span\"),\n\t\t\tclassName = diff[0] === dmp.DIFF_INSERT ? \"tc-diff-insert\" : (diff[0] === dmp.DIFF_DELETE ? \"tc-diff-delete\" : \"tc-diff-equal\"),\n\t\t\tdom = self.document.createElement(tag),\n\t\t\ttext = diff[1],\n\t\t\tcurrPos = 0,\n\t\t\tre = /([\\x00-\\x1F])/mg,\n\t\t\tmatch = re.exec(text),\n\t\t\tspan,\n\t\t\tprintable;\n\t\tdom.className = className;\n\t\twhile(match) {\n\t\t\tif(currPos < match.index) {\n\t\t\t\tdom.appendChild(self.document.createTextNode(text.slice(currPos,match.index)));\n\t\t\t}\n\t\t\tspan = self.document.createElement(\"span\");\n\t\t\tspan.className = \"tc-diff-invisible\";\n\t\t\tprintable = self.invisibleCharacters[match[0]] || (\"[0x\" + match[0].charCodeAt(0).toString(16) + \"]\");\n\t\t\tspan.appendChild(self.document.createTextNode(printable));\n\t\t\tdom.appendChild(span);\n\t\t\tcurrPos = match.index + match[0].length;\n\t\t\tmatch = re.exec(text);\n\t\t}\n\t\tif(currPos < text.length) {\n\t\t\tdom.appendChild(self.document.createTextNode(text.slice(currPos)));\n\t\t}\n\t\tdomCode.appendChild(dom);\n\t});\n\tdomPre.appendChild(domCode);\n\treturn domPre;\n};\n\n/*\nCompute the internal state of the widget\n*/\nDiffTextWidget.prototype.execute = function() {\n\t// Make child widgets\n\tvar parseTreeNodes;\n\tif(this.parseTreeNode && this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\tparseTreeNodes = this.parseTreeNode.children;\n\t} else {\n\t\tparseTreeNodes = [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: \"$:/language/Diffs/CountMessage\"}\n\t\t\t}\n\t\t}];\n\t}\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDiffTextWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.source || changedAttributes.dest || changedAttributes.cleanup) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports[\"diff-text\"] = DiffTextWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/draggable.js": {
            "title": "$:/core/modules/widgets/draggable.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/draggable.js\ntype: application/javascript\nmodule-type: widget\n\nDraggable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DraggableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDraggableWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDraggableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Sanitise the specified tag\n\tvar tag = this.draggableTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"div\";\n\t}\n\t// Create our element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = [\"tc-draggable\"];\n\tif(this.draggableClasses) {\n\t\tclasses.push(this.draggableClasses);\n\t}\n\tdomNode.setAttribute(\"class\",classes.join(\" \"));\n\t// Add event handlers\n\t$tw.utils.makeDraggable({\n\t\tdomNode: domNode,\n\t\tdragTiddlerFn: function() {return self.getAttribute(\"tiddler\");},\n\t\tdragFilterFn: function() {return self.getAttribute(\"filter\");},\n\t\tstartActions: self.startActions,\n\t\tendActions: self.endActions,\n\t\twidget: this\n\t});\n\t// Insert the link into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nDraggableWidget.prototype.execute = function() {\n\t// Pick up our attributes\n\tthis.draggableTag = this.getAttribute(\"tag\",\"div\");\n\tthis.draggableClasses = this.getAttribute(\"class\");\n\tthis.startActions = this.getAttribute(\"startactions\");\n\tthis.endActions = this.getAttribute(\"endactions\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDraggableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tag || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.draggable = DraggableWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/droppable.js": {
            "title": "$:/core/modules/widgets/droppable.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/droppable.js\ntype: application/javascript\nmodule-type: widget\n\nDroppable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DroppableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDroppableWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDroppableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this,\n\t\ttag = this.parseTreeNode.isBlock ? \"div\" : \"span\",\n\t\tdomNode;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\tif(this.droppableTag && $tw.config.htmlUnsafeElements.indexOf(this.droppableTag) === -1) {\n\t\ttag = this.droppableTag;\n\t}\n\t// Create element and assign classes\n\tdomNode = this.document.createElement(tag);\n\tthis.domNode = domNode;\n\tthis.assignDomNodeClasses();\n\t// Add event handlers\n\tif(this.droppableEnable) {\n\t\t$tw.utils.addEventListeners(domNode,[\n\t\t\t{name: \"dragenter\", handlerObject: this, handlerMethod: \"handleDragEnterEvent\"},\n\t\t\t{name: \"dragover\", handlerObject: this, handlerMethod: \"handleDragOverEvent\"},\n\t\t\t{name: \"dragleave\", handlerObject: this, handlerMethod: \"handleDragLeaveEvent\"},\n\t\t\t{name: \"drop\", handlerObject: this, handlerMethod: \"handleDropEvent\"}\n\t\t]);\t\t\n\t} else {\n\t\t$tw.utils.addClass(this.domNode,this.disabledClass);\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n\t// Stack of outstanding enter/leave events\n\tthis.currentlyEntered = [];\n};\n\nDroppableWidget.prototype.enterDrag = function(event) {\n\tif(this.currentlyEntered.indexOf(event.target) === -1) {\n\t\tthis.currentlyEntered.push(event.target);\n\t}\n\t// If we're entering for the first time we need to apply highlighting\n\t$tw.utils.addClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDroppableWidget.prototype.leaveDrag = function(event) {\n\tvar pos = this.currentlyEntered.indexOf(event.target);\n\tif(pos !== -1) {\n\t\tthis.currentlyEntered.splice(pos,1);\n\t}\n\t// Remove highlighting if we're leaving externally. The hacky second condition is to resolve a problem with Firefox whereby there is an erroneous dragenter event if the node being dragged is within the dropzone\n\tif(this.currentlyEntered.length === 0 || (this.currentlyEntered.length === 1 && this.currentlyEntered[0] === $tw.dragInProgress)) {\n\t\tthis.currentlyEntered = [];\n\t\tif(this.domNodes[0]) {\n\t\t\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t\t}\n\t}\n};\n\nDroppableWidget.prototype.handleDragEnterEvent  = function(event) {\n\tthis.enterDrag(event);\n\t// Tell the browser that we're ready to handle the drop\n\tevent.preventDefault();\n\t// Tell the browser not to ripple the drag up to any parent drop handlers\n\tevent.stopPropagation();\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDragOverEvent  = function(event) {\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Tell the browser that we're still interested in the drop\n\tevent.preventDefault();\n\t// Set the drop effect\n\tevent.dataTransfer.dropEffect = this.droppableEffect;\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDragLeaveEvent  = function(event) {\n\tthis.leaveDrag(event);\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDropEvent  = function(event) {\n\tvar self = this;\n\tthis.leaveDrag(event);\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\tvar dataTransfer = event.dataTransfer;\n\t// Remove highlighting\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t// Try to import the various data types we understand\n\t$tw.utils.importDataTransfer(dataTransfer,null,function(fieldsArray) {\n\t\tfieldsArray.forEach(function(fields) {\n\t\t\tself.performActions(fields.title || fields.text,event);\n\t\t});\n\t});\n\t// Tell the browser that we handled the drop\n\tevent.preventDefault();\n\t// Stop the drop ripple up to any parent handlers\n\tevent.stopPropagation();\n\treturn false;\n};\n\nDroppableWidget.prototype.performActions = function(title,event) {\n\tif(this.droppableActions) {\n\t\tvar modifierKey = $tw.keyboardManager.getEventModifierKeyDescriptor(event);\n\t\tthis.invokeActionString(this.droppableActions,this,event,{actionTiddler: title, modifier: modifierKey});\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nDroppableWidget.prototype.execute = function() {\n\tthis.droppableActions = this.getAttribute(\"actions\");\n\tthis.droppableEffect = this.getAttribute(\"effect\",\"copy\");\n\tthis.droppableTag = this.getAttribute(\"tag\");\n\tthis.droppableEnable = (this.getAttribute(\"enable\") || \"yes\") === \"yes\";\n\tthis.disabledClass = this.getAttribute(\"disabledClass\",\"\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\nDroppableWidget.prototype.assignDomNodeClasses = function() {\n\tvar classes = this.getAttribute(\"class\",\"\").split(\" \");\n\tclasses.push(\"tc-droppable\");\n\tthis.domNode.className = classes.join(\" \");\t\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDroppableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tag || changedAttributes.enable || changedAttributes.disabledClass || changedAttributes.actions || changedAttributes.effect) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else if(changedAttributes[\"class\"]) {\n\t\tthis.assignDomNodeClasses();\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.droppable = DroppableWidget;\n\n})();",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/dropzone.js": {
            "title": "$:/core/modules/widgets/dropzone.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/dropzone.js\ntype: application/javascript\nmodule-type: widget\n\nDropzone widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DropZoneWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDropZoneWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDropZoneWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar domNode = this.document.createElement(\"div\");\n\tdomNode.className = this.dropzoneClass || \"tc-dropzone\";\n\t// Add event handlers\n\tif(this.dropzoneEnable) {\n\t\t$tw.utils.addEventListeners(domNode,[\n\t\t\t{name: \"dragenter\", handlerObject: this, handlerMethod: \"handleDragEnterEvent\"},\n\t\t\t{name: \"dragover\", handlerObject: this, handlerMethod: \"handleDragOverEvent\"},\n\t\t\t{name: \"dragleave\", handlerObject: this, handlerMethod: \"handleDragLeaveEvent\"},\n\t\t\t{name: \"drop\", handlerObject: this, handlerMethod: \"handleDropEvent\"},\n\t\t\t{name: \"paste\", handlerObject: this, handlerMethod: \"handlePasteEvent\"},\n\t\t\t{name: \"dragend\", handlerObject: this, handlerMethod: \"handleDragEndEvent\"}\n\t\t]);\t\t\n\t}\n\tdomNode.addEventListener(\"click\",function (event) {\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n\t// Stack of outstanding enter/leave events\n\tthis.currentlyEntered = [];\n};\n\nDropZoneWidget.prototype.enterDrag = function(event) {\n\tif(this.currentlyEntered.indexOf(event.target) === -1) {\n\t\tthis.currentlyEntered.push(event.target);\n\t}\n\t// If we're entering for the first time we need to apply highlighting\n\t$tw.utils.addClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDropZoneWidget.prototype.leaveDrag = function(event) {\n\tvar pos = this.currentlyEntered.indexOf(event.target);\n\tif(pos !== -1) {\n\t\tthis.currentlyEntered.splice(pos,1);\n\t}\n\t// Remove highlighting if we're leaving externally\n\tif(this.currentlyEntered.length === 0) {\n\t\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t}\n};\n\nDropZoneWidget.prototype.handleDragEnterEvent  = function(event) {\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\tthis.enterDrag(event);\n\t// Tell the browser that we're ready to handle the drop\n\tevent.preventDefault();\n\t// Tell the browser not to ripple the drag up to any parent drop handlers\n\tevent.stopPropagation();\n};\n\nDropZoneWidget.prototype.handleDragOverEvent  = function(event) {\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\t// Tell the browser that we're still interested in the drop\n\tevent.preventDefault();\n\tevent.dataTransfer.dropEffect = \"copy\"; // Explicitly show this is a copy\n};\n\nDropZoneWidget.prototype.handleDragLeaveEvent  = function(event) {\n\tthis.leaveDrag(event);\n};\n\nDropZoneWidget.prototype.handleDragEndEvent = function(event) {\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDropZoneWidget.prototype.handleDropEvent  = function(event) {\n\tvar self = this,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray), autoOpenOnImport: self.autoOpenOnImport, importTitle: self.importTitle});\n\t\t};\n\tthis.leaveDrag(event);\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\tvar self = this,\n\t\tdataTransfer = event.dataTransfer;\n\t// Remove highlighting\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t// Import any files in the drop\n\tvar numFiles = 0;\n\tif(dataTransfer.files) {\n\t\tnumFiles = this.wiki.readFiles(dataTransfer.files,{\n\t\t\tcallback: readFileCallback,\n\t\t\tdeserializer: this.dropzoneDeserializer\n\t\t});\n\t}\n\t// Try to import the various data types we understand\n\tif(numFiles === 0) {\n\t\t$tw.utils.importDataTransfer(dataTransfer,this.wiki.generateNewTitle(\"Untitled\"),readFileCallback);\n\t}\n\t// Tell the browser that we handled the drop\n\tevent.preventDefault();\n\t// Stop the drop ripple up to any parent handlers\n\tevent.stopPropagation();\n};\n\nDropZoneWidget.prototype.handlePasteEvent  = function(event) {\n\tvar self = this,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray), autoOpenOnImport: self.autoOpenOnImport, importTitle: self.importTitle});\n\t\t};\n\t// Let the browser handle it if we're in a textarea or input box\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) == -1 && !event.target.isContentEditable) {\n\t\tvar self = this,\n\t\t\titems = event.clipboardData.items;\n\t\t// Enumerate the clipboard items\n\t\tfor(var t = 0; t<items.length; t++) {\n\t\t\tvar item = items[t];\n\t\t\tif(item.kind === \"file\") {\n\t\t\t\t// Import any files\n\t\t\t\tthis.wiki.readFile(item.getAsFile(),{\n\t\t\t\t\tcallback: readFileCallback,\n\t\t\t\t\tdeserializer: this.dropzoneDeserializer\n\t\t\t\t});\n\t\t\t} else if(item.kind === \"string\") {\n\t\t\t\t// Create tiddlers from string items\n\t\t\t\tvar type = item.type;\n\t\t\t\titem.getAsString(function(str) {\n\t\t\t\t\tvar tiddlerFields = {\n\t\t\t\t\t\ttitle: self.wiki.generateNewTitle(\"Untitled\"),\n\t\t\t\t\t\ttext: str,\n\t\t\t\t\t\ttype: type\n\t\t\t\t\t};\n\t\t\t\t\tif($tw.log.IMPORT) {\n\t\t\t\t\t\tconsole.log(\"Importing string '\" + str + \"', type: '\" + type + \"'\");\n\t\t\t\t\t}\n\t\t\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify([tiddlerFields]), autoOpenOnImport: self.autoOpenOnImport, importTitle: self.importTitle});\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\t\t// Tell the browser that we've handled the paste\n\t\tevent.stopPropagation();\n\t\tevent.preventDefault();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nDropZoneWidget.prototype.execute = function() {\n\tthis.dropzoneClass = this.getAttribute(\"class\");\n\tthis.dropzoneDeserializer = this.getAttribute(\"deserializer\");\n\tthis.dropzoneEnable = (this.getAttribute(\"enable\") || \"yes\") === \"yes\";\n\tthis.autoOpenOnImport = this.getAttribute(\"autoOpenOnImport\");\n\tthis.importTitle = this.getAttribute(\"importTitle\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDropZoneWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.enable || changedAttributes.autoOpenOnImport || changedAttributes.importTitle || changedAttributes.deserializer || changedAttributes.class) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.dropzone = DropZoneWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/edit-binary.js": {
            "title": "$:/core/modules/widgets/edit-binary.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/edit-binary.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-binary widget; placeholder for editing binary tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar BINARY_WARNING_MESSAGE = \"$:/core/ui/BinaryWarning\";\nvar EXPORT_BUTTON_IMAGE = \"$:/core/images/export-button\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditBinaryWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditBinaryWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditBinaryWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditBinaryWidget.prototype.execute = function() {\n\t// Get our parameters\n\tvar editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tvar tiddler = this.wiki.getTiddler(editTitle);\n\tvar type = tiddler.fields.type;\n\tvar text = tiddler.fields.text;\n\t// Transclude the binary data tiddler warning message\n\tvar warn = {\n\t\ttype: \"element\",\n\t\ttag: \"p\",\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: BINARY_WARNING_MESSAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Create download link based on draft tiddler title\n\tvar link = {\n\t\ttype: \"element\",\n\t\ttag: \"a\",\n\t\tattributes: {\n\t\t\ttitle: {type: \"indirect\", textReference: \"!!draft.title\"},\n\t\t\tdownload: {type: \"indirect\", textReference: \"!!draft.title\"}\n\t\t},\n\t\tchildren: [{\n\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: EXPORT_BUTTON_IMAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Set the link href to internal data URI (no external)\n\tif(text) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: \"data:\" + type + \";base64,\" + text\n\t\t};\n\t}\n\t// Combine warning message and download link in a div\n\tvar element = {\n\t\ttype: \"element\",\n\t\ttag: \"div\",\n\t\tattributes: {\n\t\t\tclass: {type: \"string\", value: \"tc-binary-warning\"}\n\t\t},\n\t\tchildren: [warn, link]\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets([element]);\n};\n\n/*\nRefresh by refreshing our child widget\n*/\nEditBinaryWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports[\"edit-binary\"] = EditBinaryWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/edit-bitmap.js": {
            "title": "$:/core/modules/widgets/edit-bitmap.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/edit-bitmap.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-bitmap widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Default image sizes\nvar DEFAULT_IMAGE_WIDTH = 600,\n\tDEFAULT_IMAGE_HEIGHT = 370,\n\tDEFAULT_IMAGE_TYPE = \"image/png\";\n\n// Configuration tiddlers\nvar LINE_WIDTH_TITLE = \"$:/config/BitmapEditor/LineWidth\",\n\tLINE_COLOUR_TITLE = \"$:/config/BitmapEditor/Colour\",\n\tLINE_OPACITY_TITLE = \"$:/config/BitmapEditor/Opacity\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditBitmapWidget = function(parseTreeNode,options) {\n\t// Initialise the editor operations if they've not been done already\n\tif(!this.editorOperations) {\n\t\tEditBitmapWidget.prototype.editorOperations = {};\n\t\t$tw.modules.applyMethods(\"bitmapeditoroperation\",this.editorOperations);\n\t}\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditBitmapWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditBitmapWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create the wrapper for the toolbar and render its content\n\tthis.toolbarNode = this.document.createElement(\"div\");\n\tthis.toolbarNode.className = \"tc-editor-toolbar\";\n\tparent.insertBefore(this.toolbarNode,nextSibling);\n\tthis.domNodes.push(this.toolbarNode);\n\t// Create the on-screen canvas\n\tthis.canvasDomNode = $tw.utils.domMaker(\"canvas\",{\n\t\tdocument: this.document,\n\t\t\"class\":\"tc-edit-bitmapeditor\",\n\t\teventListeners: [{\n\t\t\tname: \"touchstart\", handlerObject: this, handlerMethod: \"handleTouchStartEvent\"\n\t\t},{\n\t\t\tname: \"touchmove\", handlerObject: this, handlerMethod: \"handleTouchMoveEvent\"\n\t\t},{\n\t\t\tname: \"touchend\", handlerObject: this, handlerMethod: \"handleTouchEndEvent\"\n\t\t},{\n\t\t\tname: \"mousedown\", handlerObject: this, handlerMethod: \"handleMouseDownEvent\"\n\t\t},{\n\t\t\tname: \"mousemove\", handlerObject: this, handlerMethod: \"handleMouseMoveEvent\"\n\t\t},{\n\t\t\tname: \"mouseup\", handlerObject: this, handlerMethod: \"handleMouseUpEvent\"\n\t\t}]\n\t});\n\t// Set the width and height variables\n\tthis.setVariable(\"tv-bitmap-editor-width\",this.canvasDomNode.width + \"px\");\n\tthis.setVariable(\"tv-bitmap-editor-height\",this.canvasDomNode.height + \"px\");\n\t// Render toolbar child widgets\n\tthis.renderChildren(this.toolbarNode,null);\n\t// // Insert the elements into the DOM\n\tparent.insertBefore(this.canvasDomNode,nextSibling);\n\tthis.domNodes.push(this.canvasDomNode);\n\t// Load the image into the canvas\n\tif($tw.browser) {\n\t\tthis.loadCanvas();\n\t}\n\t// Add widget message listeners\n\tthis.addEventListeners([\n\t\t{type: \"tm-edit-bitmap-operation\", handler: \"handleEditBitmapOperationMessage\"}\n\t]);\n};\n\n/*\nHandle an edit bitmap operation message from the toolbar\n*/\nEditBitmapWidget.prototype.handleEditBitmapOperationMessage = function(event) {\n\t// Invoke the handler\n\tvar handler = this.editorOperations[event.param];\n\tif(handler) {\n\t\thandler.call(this,event);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditBitmapWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nJust refresh the toolbar\n*/\nEditBitmapWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nSet the bitmap size variables and refresh the toolbar\n*/\nEditBitmapWidget.prototype.refreshToolbar = function() {\n\t// Set the width and height variables\n\tthis.setVariable(\"tv-bitmap-editor-width\",this.canvasDomNode.width + \"px\");\n\tthis.setVariable(\"tv-bitmap-editor-height\",this.canvasDomNode.height + \"px\");\n\t// Refresh each of our child widgets\n\t$tw.utils.each(this.children,function(childWidget) {\n\t\tchildWidget.refreshSelf();\n\t});\n};\n\nEditBitmapWidget.prototype.loadCanvas = function() {\n\tvar tiddler = this.wiki.getTiddler(this.editTitle),\n\t\tcurrImage = new Image();\n\t// Set up event handlers for loading the image\n\tvar self = this;\n\tcurrImage.onload = function() {\n\t\t// Copy the image to the on-screen canvas\n\t\tself.initCanvas(self.canvasDomNode,currImage.width,currImage.height,currImage);\n\t\t// And also copy the current bitmap to the off-screen canvas\n\t\tself.currCanvas = self.document.createElement(\"canvas\");\n\t\tself.initCanvas(self.currCanvas,currImage.width,currImage.height,currImage);\n\t\t// Set the width and height input boxes\n\t\tself.refreshToolbar();\n\t};\n\tcurrImage.onerror = function() {\n\t\t// Set the on-screen canvas size and clear it\n\t\tself.initCanvas(self.canvasDomNode,DEFAULT_IMAGE_WIDTH,DEFAULT_IMAGE_HEIGHT);\n\t\t// Set the off-screen canvas size and clear it\n\t\tself.currCanvas = self.document.createElement(\"canvas\");\n\t\tself.initCanvas(self.currCanvas,DEFAULT_IMAGE_WIDTH,DEFAULT_IMAGE_HEIGHT);\n\t\t// Set the width and height input boxes\n\t\tself.refreshToolbar();\n\t};\n\t// Get the current bitmap into an image object\n\tif(tiddler && tiddler.fields.type && tiddler.fields.text) {\n\t\tcurrImage.src = \"data:\" + tiddler.fields.type + \";base64,\" + tiddler.fields.text;\t\t\n\t} else {\n\t\tcurrImage.width = DEFAULT_IMAGE_WIDTH;\n\t\tcurrImage.height = DEFAULT_IMAGE_HEIGHT;\n\t\tcurrImage.onerror();\n\t}\n};\n\nEditBitmapWidget.prototype.initCanvas = function(canvas,width,height,image) {\n\tcanvas.width = width;\n\tcanvas.height = height;\n\tvar ctx = canvas.getContext(\"2d\");\n\tif(image) {\n\t\tctx.drawImage(image,0,0);\n\t} else {\n\t\tctx.fillStyle = \"#fff\";\n\t\tctx.fillRect(0,0,canvas.width,canvas.height);\n\t}\n};\n\n/*\n** Change the size of the canvas, preserving the current image\n*/\nEditBitmapWidget.prototype.changeCanvasSize = function(newWidth,newHeight) {\n\t// Create and size a new canvas\n\tvar newCanvas = this.document.createElement(\"canvas\");\n\tthis.initCanvas(newCanvas,newWidth,newHeight);\n\t// Copy the old image\n\tvar ctx = newCanvas.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n\t// Set the new canvas as the current one\n\tthis.currCanvas = newCanvas;\n\t// Set the size of the onscreen canvas\n\tthis.canvasDomNode.width = newWidth;\n\tthis.canvasDomNode.height = newHeight;\n\t// Paint the onscreen canvas with the offscreen canvas\n\tctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n};\n\n/*\n** Rotate the canvas left by 90 degrees\n*/\nEditBitmapWidget.prototype.rotateCanvasLeft = function() {\n\t// Get the current size of the image\n\tvar origWidth = this.currCanvas.width,\n\t\torigHeight = this.currCanvas.height;\n\t// Create and size a new canvas\n\tvar newCanvas = this.document.createElement(\"canvas\"),\n\t\tnewWidth = origHeight,\n\t\tnewHeight = origWidth;\n\tthis.initCanvas(newCanvas,newWidth,newHeight);\n\t// Copy the old image\n\tvar ctx = newCanvas.getContext(\"2d\");\n\tctx.save();\n\tctx.translate(newWidth / 2,newHeight / 2);\n\tctx.rotate(-Math.PI / 2);\n\tctx.drawImage(this.currCanvas,-origWidth / 2,-origHeight / 2);\n\tctx.restore();\n\t// Set the new canvas as the current one\n\tthis.currCanvas = newCanvas;\n\t// Set the size of the onscreen canvas\n\tthis.canvasDomNode.width = newWidth;\n\tthis.canvasDomNode.height = newHeight;\n\t// Paint the onscreen canvas with the offscreen canvas\n\tctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n};\n\nEditBitmapWidget.prototype.handleTouchStartEvent = function(event) {\n\tthis.brushDown = true;\n\tthis.strokeStart(event.touches[0].clientX,event.touches[0].clientY);\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleTouchMoveEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.strokeMove(event.touches[0].clientX,event.touches[0].clientY);\n\t}\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleTouchEndEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.brushDown = false;\n\t\tthis.strokeEnd();\n\t}\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleMouseDownEvent = function(event) {\n\tthis.strokeStart(event.clientX,event.clientY);\n\tthis.brushDown = true;\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleMouseMoveEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.strokeMove(event.clientX,event.clientY);\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn false;\n\t}\n\treturn true;\n};\n\nEditBitmapWidget.prototype.handleMouseUpEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.brushDown = false;\n\t\tthis.strokeEnd();\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn false;\n\t}\n\treturn true;\n};\n\nEditBitmapWidget.prototype.adjustCoordinates = function(x,y) {\n\tvar canvasRect = this.canvasDomNode.getBoundingClientRect(),\n\t\tscale = this.canvasDomNode.width/canvasRect.width;\n\treturn {x: (x - canvasRect.left) * scale, y: (y - canvasRect.top) * scale};\n};\n\nEditBitmapWidget.prototype.strokeStart = function(x,y) {\n\t// Start off a new stroke\n\tthis.stroke = [this.adjustCoordinates(x,y)];\n};\n\nEditBitmapWidget.prototype.strokeMove = function(x,y) {\n\tvar ctx = this.canvasDomNode.getContext(\"2d\"),\n\t\tt;\n\t// Add the new position to the end of the stroke\n\tthis.stroke.push(this.adjustCoordinates(x,y));\n\t// Redraw the previous image\n\tctx.drawImage(this.currCanvas,0,0);\n\t// Render the stroke\n\tctx.globalAlpha = parseFloat(this.wiki.getTiddlerText(LINE_OPACITY_TITLE,\"1.0\"));\n\tctx.strokeStyle = this.wiki.getTiddlerText(LINE_COLOUR_TITLE,\"#ff0\");\n\tctx.lineWidth = parseFloat(this.wiki.getTiddlerText(LINE_WIDTH_TITLE,\"3\"));\n\tctx.lineCap = \"round\";\n\tctx.lineJoin = \"round\";\n\tctx.beginPath();\n\tctx.moveTo(this.stroke[0].x,this.stroke[0].y);\n\tfor(t=1; t<this.stroke.length-1; t++) {\n\t\tvar s1 = this.stroke[t],\n\t\t\ts2 = this.stroke[t-1],\n\t\t\ttx = (s1.x + s2.x)/2,\n\t\t\tty = (s1.y + s2.y)/2;\n\t\tctx.quadraticCurveTo(s2.x,s2.y,tx,ty);\n\t}\n\tctx.stroke();\n};\n\nEditBitmapWidget.prototype.strokeEnd = function() {\n\t// Copy the bitmap to the off-screen canvas\n\tvar ctx = this.currCanvas.getContext(\"2d\");\n\tctx.drawImage(this.canvasDomNode,0,0);\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\nEditBitmapWidget.prototype.saveChanges = function() {\n\tvar tiddler = this.wiki.getTiddler(this.editTitle) || new $tw.Tiddler({title: this.editTitle,type: DEFAULT_IMAGE_TYPE});\n\t// data URIs look like \"data:<type>;base64,<text>\"\n\tvar dataURL = this.canvasDomNode.toDataURL(tiddler.fields.type),\n\t\tposColon = dataURL.indexOf(\":\"),\n\t\tposSemiColon = dataURL.indexOf(\";\"),\n\t\tposComma = dataURL.indexOf(\",\"),\n\t\ttype = dataURL.substring(posColon+1,posSemiColon),\n\t\ttext = dataURL.substring(posComma+1);\n\tvar update = {type: type, text: text};\n\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getModificationFields(),tiddler,update,this.wiki.getCreationFields()));\n};\n\nexports[\"edit-bitmap\"] = EditBitmapWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/edit-shortcut.js": {
            "title": "$:/core/modules/widgets/edit-shortcut.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/edit-shortcut.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to display an editable keyboard shortcut\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditShortcutWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditShortcutWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditShortcutWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.inputNode = this.document.createElement(\"input\");\n\t// Assign classes\n\tif(this.shortcutClass) {\n\t\tthis.inputNode.className = this.shortcutClass;\t\t\n\t}\n\t// Assign other attributes\n\tif(this.shortcutStyle) {\n\t\tthis.inputNode.setAttribute(\"style\",this.shortcutStyle);\n\t}\n\tif(this.shortcutTooltip) {\n\t\tthis.inputNode.setAttribute(\"title\",this.shortcutTooltip);\n\t}\n\tif(this.shortcutPlaceholder) {\n\t\tthis.inputNode.setAttribute(\"placeholder\",this.shortcutPlaceholder);\n\t}\n\tif(this.shortcutAriaLabel) {\n\t\tthis.inputNode.setAttribute(\"aria-label\",this.shortcutAriaLabel);\n\t}\n\t// Assign the current shortcut\n\tthis.updateInputNode();\n\t// Add event handlers\n\t$tw.utils.addEventListeners(this.inputNode,[\n\t\t{name: \"keydown\", handlerObject: this, handlerMethod: \"handleKeydownEvent\"}\n\t]);\n\t// Link into the DOM\n\tparent.insertBefore(this.inputNode,nextSibling);\n\tthis.domNodes.push(this.inputNode);\n\t// Focus the input Node if focus === \"yes\" or focus === \"true\"\n\tif(this.shortcutFocus === \"yes\" || this.shortcutFocus === \"true\") {\n\t\tthis.focus();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditShortcutWidget.prototype.execute = function() {\n\tthis.shortcutTiddler = this.getAttribute(\"tiddler\");\n\tthis.shortcutField = this.getAttribute(\"field\");\n\tthis.shortcutIndex = this.getAttribute(\"index\");\n\tthis.shortcutPlaceholder = this.getAttribute(\"placeholder\");\n\tthis.shortcutDefault = this.getAttribute(\"default\",\"\");\n\tthis.shortcutClass = this.getAttribute(\"class\");\n\tthis.shortcutStyle = this.getAttribute(\"style\");\n\tthis.shortcutTooltip = this.getAttribute(\"tooltip\");\n\tthis.shortcutAriaLabel = this.getAttribute(\"aria-label\");\n\tthis.shortcutFocus = this.getAttribute(\"focus\");\n};\n\n/*\nUpdate the value of the input node\n*/\nEditShortcutWidget.prototype.updateInputNode = function() {\n\tif(this.shortcutField) {\n\t\tvar tiddler = this.wiki.getTiddler(this.shortcutTiddler);\n\t\tif(tiddler && $tw.utils.hop(tiddler.fields,this.shortcutField)) {\n\t\t\tthis.inputNode.value = tiddler.getFieldString(this.shortcutField);\n\t\t} else {\n\t\t\tthis.inputNode.value = this.shortcutDefault;\n\t\t}\n\t} else if(this.shortcutIndex) {\n\t\tthis.inputNode.value = this.wiki.extractTiddlerDataItem(this.shortcutTiddler,this.shortcutIndex,this.shortcutDefault);\n\t} else {\n\t\tthis.inputNode.value = this.wiki.getTiddlerText(this.shortcutTiddler,this.shortcutDefault);\n\t}\n};\n\n/*\nHandle a dom \"keydown\" event\n*/\nEditShortcutWidget.prototype.handleKeydownEvent = function(event) {\n\t// Ignore shift, ctrl, meta, alt\n\tif(event.keyCode && $tw.keyboardManager.getModifierKeys().indexOf(event.keyCode) === -1) {\n\t\t// Get the shortcut text representation\n\t\tvar value = $tw.keyboardManager.getPrintableShortcuts([{\n\t\t\tctrlKey: event.ctrlKey,\n\t\t\tshiftKey: event.shiftKey,\n\t\t\taltKey: event.altKey,\n\t\t\tmetaKey: event.metaKey,\n\t\t\tkeyCode: event.keyCode\n\t\t}]);\n\t\tif(value.length > 0) {\n\t\t\tthis.wiki.setText(this.shortcutTiddler,this.shortcutField,this.shortcutIndex,value[0]);\n\t\t}\n\t\t// Ignore the keydown if it was already handled\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn true;\t\t\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nfocus the input node\n*/\nEditShortcutWidget.prototype.focus = function() {\n\tif(this.inputNode.focus && this.inputNode.select) {\n\t\tthis.inputNode.focus();\n\t\tthis.inputNode.select();\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget needed re-rendering\n*/\nEditShortcutWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.placeholder || changedAttributes[\"default\"] || changedAttributes[\"class\"] || changedAttributes.style || changedAttributes.tooltip || changedAttributes[\"aria-label\"] || changedAttributes.focus) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else if(changedTiddlers[this.shortcutTiddler]) {\n\t\tthis.updateInputNode();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports[\"edit-shortcut\"] = EditShortcutWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/edit-text.js": {
            "title": "$:/core/modules/widgets/edit-text.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/edit-text.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-text widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar editTextWidgetFactory = require(\"$:/core/modules/editor/factory.js\").editTextWidgetFactory,\n\tFramedEngine = require(\"$:/core/modules/editor/engines/framed.js\").FramedEngine,\n\tSimpleEngine = require(\"$:/core/modules/editor/engines/simple.js\").SimpleEngine;\n\nexports[\"edit-text\"] = editTextWidgetFactory(FramedEngine,SimpleEngine);\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/edit.js": {
            "title": "$:/core/modules/widgets/edit.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/edit.js\ntype: application/javascript\nmodule-type: widget\n\nEdit widget is a meta-widget chooses the appropriate actual editting widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n// Mappings from content type to editor type are stored in tiddlers with this prefix\nvar EDITOR_MAPPING_PREFIX = \"$:/config/EditorTypeMappings/\";\n\n/*\nCompute the internal state of the widget\n*/\nEditWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.editField = this.getAttribute(\"field\",\"text\");\n\tthis.editIndex = this.getAttribute(\"index\");\n\tthis.editClass = this.getAttribute(\"class\");\n\tthis.editPlaceholder = this.getAttribute(\"placeholder\");\n\tthis.editTabIndex = this.getAttribute(\"tabindex\");\n\tthis.editFocus = this.getAttribute(\"focus\",\"\");\n\tthis.editCancelPopups = this.getAttribute(\"cancelPopups\",\"\");\n\tthis.editInputActions = this.getAttribute(\"inputActions\");\n\tthis.editRefreshTitle = this.getAttribute(\"refreshTitle\");\n\tthis.editAutoComplete = this.getAttribute(\"autocomplete\");\n\t// Choose the appropriate edit widget\n\tthis.editorType = this.getEditorType();\n\t// Make the child widgets\n\tthis.makeChildWidgets([{\n\t\ttype: \"edit-\" + this.editorType,\n\t\tattributes: this.parseTreeNode.attributes,\n\t\tchildren: this.parseTreeNode.children\n\t}]);\n};\n\nEditWidget.prototype.getEditorType = function() {\n\t// Get the content type of the thing we're editing\n\tvar type;\n\tif(this.editField === \"text\") {\n\t\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\t\tif(tiddler) {\n\t\t\ttype = tiddler.fields.type;\n\t\t}\n\t}\n\ttype = type || \"text/vnd.tiddlywiki\";\n\tvar editorType = this.wiki.getTiddlerText(EDITOR_MAPPING_PREFIX + type);\n\tif(!editorType) {\n\t\tvar typeInfo = $tw.config.contentTypeInfo[type];\n\t\tif(typeInfo && typeInfo.encoding === \"base64\") {\n\t\t\teditorType = \"binary\";\n\t\t} else {\n\t\t\teditorType = \"text\";\n\t\t}\n\t}\n\treturn editorType;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEditWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// Refresh if an attribute has changed, or the type associated with the target tiddler has changed\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.tabindex || changedAttributes.cancelPopups || changedAttributes.inputActions || changedAttributes.refreshTitle || changedAttributes.autocomplete || (changedTiddlers[this.editTitle] && this.getEditorType() !== this.editorType)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.edit = EditWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/element.js": {
            "title": "$:/core/modules/widgets/element.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/element.js\ntype: application/javascript\nmodule-type: widget\n\nElement widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ElementWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nElementWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nElementWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\t// Neuter blacklisted elements\n\tthis.tag = this.parseTreeNode.tag;\n\tif($tw.config.htmlUnsafeElements.indexOf(this.tag) !== -1) {\n\t\tthis.tag = \"safe-\" + this.tag;\n\t}\n\t// Adjust headings by the current base level\n\tvar headingLevel = [\"h1\",\"h2\",\"h3\",\"h4\",\"h5\",\"h6\"].indexOf(this.tag);\n\tif(headingLevel !== -1) {\n\t\tvar baseLevel = parseInt(this.getVariable(\"tv-adjust-heading-level\",\"0\"),10) || 0;\n\t\theadingLevel = Math.min(Math.max(headingLevel + 1 + baseLevel,1),6);\n\t\tthis.tag = \"h\" + headingLevel;\n\t}\n\t// Select the namespace for the tag\n\tvar tagNamespaces = {\n\t\t\tsvg: \"http://www.w3.org/2000/svg\",\n\t\t\tmath: \"http://www.w3.org/1998/Math/MathML\",\n\t\t\tbody: \"http://www.w3.org/1999/xhtml\"\n\t\t};\n\tthis.namespace = tagNamespaces[this.tag];\n\tif(this.namespace) {\n\t\tthis.setVariable(\"namespace\",this.namespace);\n\t} else {\n\t\tthis.namespace = this.getVariable(\"namespace\",{defaultValue: \"http://www.w3.org/1999/xhtml\"});\n\t}\n\t// Invoke the th-rendering-element hook\n\tvar parseTreeNodes = $tw.hooks.invokeHook(\"th-rendering-element\",null,this);\n\tthis.isReplaced = !!parseTreeNodes;\n\tif(parseTreeNodes) {\n\t\t// Use the parse tree nodes provided by the hook\n\t\tthis.makeChildWidgets(parseTreeNodes);\n\t\tthis.renderChildren(this.parentDomNode,null);\n\t\treturn;\n\t}\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n\t// Create the DOM node and render children\n\tvar domNode = this.document.createElementNS(this.namespace,this.tag);\n\tthis.assignAttributes(domNode,{excludeEventAttributes: true});\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nElementWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\thasChangedAttributes = $tw.utils.count(changedAttributes) > 0;\n\tif(hasChangedAttributes) {\n\t\tif(!this.isReplaced) {\n\t\t\t// Update our attributes\n\t\t\tthis.assignAttributes(this.domNodes[0],{excludeEventAttributes: true});\t\t\t\n\t\t} else {\n\t\t\t// If we were replaced then completely refresh ourselves\n\t\t\treturn this.refreshSelf();\n\t\t}\n\t}\n\treturn this.refreshChildren(changedTiddlers) || hasChangedAttributes;\n};\n\nexports.element = ElementWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/encrypt.js": {
            "title": "$:/core/modules/widgets/encrypt.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/encrypt.js\ntype: application/javascript\nmodule-type: widget\n\nEncrypt widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EncryptWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEncryptWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEncryptWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.encryptedText);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEncryptWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.filter = this.getAttribute(\"filter\",\"[!is[system]]\");\n\t// Encrypt the filtered tiddlers\n\tvar tiddlers = this.wiki.filterTiddlers(this.filter),\n\t\tjson = {},\n\t\tself = this;\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title),\n\t\t\tjsonTiddler = {};\n\t\tfor(var f in tiddler.fields) {\n\t\t\tjsonTiddler[f] = tiddler.getFieldString(f);\n\t\t}\n\t\tjson[title] = jsonTiddler;\n\t});\n\tthis.encryptedText = $tw.utils.htmlEncode($tw.crypto.encrypt(JSON.stringify(json)));\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEncryptWidget.prototype.refresh = function(changedTiddlers) {\n\t// We don't need to worry about refreshing because the encrypt widget isn't for interactive use\n\treturn false;\n};\n\nexports.encrypt = EncryptWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/entity.js": {
            "title": "$:/core/modules/widgets/entity.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/entity.js\ntype: application/javascript\nmodule-type: widget\n\nHTML entity widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EntityWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEntityWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEntityWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar entityString = this.getAttribute(\"entity\",this.parseTreeNode.entity || \"\"),\n\t\ttextNode = this.document.createTextNode($tw.utils.entityDecode(entityString));\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEntityWidget.prototype.execute = function() {\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEntityWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.entity) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.entity = EntityWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/eventcatcher.js": {
            "title": "$:/core/modules/widgets/eventcatcher.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/eventcatcher.js\ntype: application/javascript\nmodule-type: widget\n\nEvent handler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EventWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEventWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEventWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.elementTag && $tw.config.htmlUnsafeElements.indexOf(this.elementTag) === -1) {\n\t\ttag = this.elementTag;\n\t}\t\n\tvar domNode = this.document.createElement(tag);\n\tthis.domNode = domNode;\n\t// Assign classes\n\tthis.assignDomNodeClasses();\t\n\t// Add our event handler\n\t$tw.utils.each(this.types,function(type) {\n\t\tdomNode.addEventListener(type,function(event) {\n\t\t\tvar selector = self.getAttribute(\"selector\"),\n\t\t\t\tactions = self.getAttribute(\"actions-\"+type),\n\t\t\t\tselectedNode = event.target,\n\t\t\t\tselectedNodeRect,\n\t\t\t\tcatcherNodeRect,\n\t\t\t\tvariables = {};\n\t\t\tif(selector) {\n\t\t\t\t// Search ancestors for a node that matches the selector\n\t\t\t\twhile(!selectedNode.matches(selector) && selectedNode !== domNode) {\n\t\t\t\t\tselectedNode = selectedNode.parentNode;\n\t\t\t\t}\n\t\t\t\t// If we found one, copy the attributes as variables, otherwise exit\n\t\t\t\tif(selectedNode.matches(selector)) {\n\t\t\t\t\t$tw.utils.each(selectedNode.attributes,function(attribute) {\n\t\t\t\t\t\tvariables[\"dom-\" + attribute.name] = attribute.value.toString();\n\t\t\t\t\t});\n\t\t\t\t\t//Add a variable with a popup coordinate string for the selected node\n\t\t\t\t\tvariables[\"tv-popup-coords\"] = \"(\" + selectedNode.offsetLeft + \",\" + selectedNode.offsetTop +\",\" + selectedNode.offsetWidth + \",\" + selectedNode.offsetHeight + \")\";\n\t\t\t\t\t\n\t\t\t\t\t//Add variables for offset of selected node\n\t\t\t\t\tvariables[\"tv-selectednode-posx\"] = selectedNode.offsetLeft.toString();\n\t\t\t\t\tvariables[\"tv-selectednode-posy\"] = selectedNode.offsetTop.toString();\n\t\t\t\t\tvariables[\"tv-selectednode-width\"] = selectedNode.offsetWidth.toString();\n\t\t\t\t\tvariables[\"tv-selectednode-height\"] = selectedNode.offsetHeight.toString();\n\n\t\t\t\t\t//Add variables for event X and Y position relative to selected node\n\t\t\t\t\tselectedNodeRect = selectedNode.getBoundingClientRect();\t\t\t\t\n\t\t\t\t\tvariables[\"event-fromselected-posx\"] = (event.clientX - selectedNodeRect.left).toString();\n\t\t\t\t\tvariables[\"event-fromselected-posy\"] = (event.clientY - selectedNodeRect.top).toString();\n\n\t\t\t\t\t//Add variables for event X and Y position relative to event catcher node\n\t\t\t\t\tcatcherNodeRect = self.domNode.getBoundingClientRect();\n\t\t\t\t\tvariables[\"event-fromcatcher-posx\"] = (event.clientX - catcherNodeRect.left).toString();\n\t\t\t\t\tvariables[\"event-fromcatcher-posy\"] = (event.clientY - catcherNodeRect.top).toString();\n\t\t\t\t} else {\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Execute our actions with the variables\n\t\t\tif(actions) {\n\t\t\t\t// Add a variable for the modifier key\n\t\t\t\tvariables.modifier = $tw.keyboardManager.getEventModifierKeyDescriptor(event);\n\t\t\t\t// Add a variable for the mouse button\n\t\t\t\tif(\"button\" in event) {\n\t\t\t\t\tif(event.button === 0) {\n\t\t\t\t\t\tvariables[\"event-mousebutton\"] = \"left\";\n\t\t\t\t\t} else if(event.button === 1) {\n\t\t\t\t\t\tvariables[\"event-mousebutton\"] = \"middle\";\n\t\t\t\t\t} else if(event.button === 2) {\n\t\t\t\t\t\tvariables[\"event-mousebutton\"] = \"right\";\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tvariables[\"event-type\"] = event.type.toString();\n\t\t\t\tif(typeof event.detail === \"object\" && !!event.detail) {\n\t\t\t\t\t$tw.utils.each(event.detail,function(detailValue,detail) {\n\t\t\t\t\t\tvariables[\"event-detail-\" + detail] = detailValue.toString();\n\t\t\t\t\t});\n\t\t\t\t} else if(!!event.detail) {\n\t\t\t\t\tvariables[\"event-detail\"] = event.detail.toString();\n\t\t\t\t}\n\t\t\t\tself.invokeActionString(actions,self,event,variables);\n\t\t\t\tevent.preventDefault();\n\t\t\t\tevent.stopPropagation();\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\treturn false;\n\t\t},false);\n\t});\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEventWidget.prototype.execute = function() {\n\tvar self = this;\n\t// Get attributes that require a refresh on change\n\tthis.types = this.getAttribute(\"events\",\"\").split(\" \");\n\tthis.elementTag = this.getAttribute(\"tag\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\nEventWidget.prototype.assignDomNodeClasses = function() {\n\tvar classes = this.getAttribute(\"class\",\"\").split(\" \");\n\tclasses.push(\"tc-eventcatcher\");\n\tthis.domNode.className = classes.join(\" \");\t\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEventWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"events\"] || changedAttributes[\"tag\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else if(changedAttributes[\"class\"]) {\n\t\tthis.assignDomNodeClasses();\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.eventcatcher = EventWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/fieldmangler.js": {
            "title": "$:/core/modules/widgets/fieldmangler.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/fieldmangler.js\ntype: application/javascript\nmodule-type: widget\n\nField mangler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar FieldManglerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-remove-field\", handler: \"handleRemoveFieldEvent\"},\n\t\t{type: \"tm-add-field\", handler: \"handleAddFieldEvent\"},\n\t\t{type: \"tm-remove-tag\", handler: \"handleRemoveTagEvent\"},\n\t\t{type: \"tm-add-tag\", handler: \"handleAddTagEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nFieldManglerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nFieldManglerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nFieldManglerWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.mangleTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nFieldManglerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nFieldManglerWidget.prototype.handleRemoveFieldEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tdeletion = {};\n\tdeletion[event.param] = undefined;\n\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,deletion));\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleAddFieldEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\taddition = this.wiki.getModificationFields(),\n\t\thadInvalidFieldName = false,\n\t\taddField = function(name,value) {\n\t\t\tvar trimmedName = name.toLowerCase().trim();\n\t\t\tif(!$tw.utils.isValidFieldName(trimmedName)) {\n\t\t\t\tif(!hadInvalidFieldName) {\n\t\t\t\t\talert($tw.language.getString(\n\t\t\t\t\t\t\"InvalidFieldName\",\n\t\t\t\t\t\t{variables:\n\t\t\t\t\t\t\t{fieldName: trimmedName}\n\t\t\t\t\t\t}\n\t\t\t\t\t));\n\t\t\t\t\thadInvalidFieldName = true;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif(!value && tiddler) {\n\t\t\t\t\tvalue = tiddler.fields[trimmedName];\n\t\t\t\t}\n\t\t\t\taddition[trimmedName] = value || \"\";\n\t\t\t}\n\t\t\treturn;\n\t\t};\n\taddition.title = this.mangleTitle;\n\tif(typeof event.param === \"string\") {\n\t\taddField(event.param,\"\");\n\t}\n\tif(typeof event.paramObject === \"object\") {\n\t\tfor(var name in event.paramObject) {\n\t\t\taddField(name,event.paramObject[name]);\n\t\t}\n\t}\n\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,addition));\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleRemoveTagEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tmodification = this.wiki.getModificationFields();\n\tif(tiddler && tiddler.fields.tags) {\n\t\tvar p = tiddler.fields.tags.indexOf(event.param);\n\t\tif(p !== -1) {\n\t\t\tmodification.tags = (tiddler.fields.tags || []).slice(0);\n\t\t\tmodification.tags.splice(p,1);\n\t\t\tif(modification.tags.length === 0) {\n\t\t\t\tmodification.tags = undefined;\n\t\t\t}\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,modification));\n\t\t}\n\t}\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleAddTagEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tmodification = this.wiki.getModificationFields();\n\tif(tiddler && typeof event.param === \"string\") {\n\t\tvar tag = event.param.trim();\n\t\tif(tag !== \"\") {\n\t\t\tmodification.tags = (tiddler.fields.tags || []).slice(0);\n\t\t\t$tw.utils.pushTop(modification.tags,tag);\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,modification));\t\t\t\n\t\t}\n\t} else if(typeof event.param === \"string\" && event.param.trim() !== \"\" && this.mangleTitle.trim() !== \"\") {\n\t\tvar tag = [];\n\t\ttag.push(event.param.trim());\n\t\tthis.wiki.addTiddler(new $tw.Tiddler({title: this.mangleTitle, tags: tag},modification));\n\t}\n\treturn true;\n};\n\nexports.fieldmangler = FieldManglerWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/fields.js": {
            "title": "$:/core/modules/widgets/fields.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/fields.js\ntype: application/javascript\nmodule-type: widget\n\nFields widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar FieldsWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nFieldsWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nFieldsWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.text);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nFieldsWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.template = this.getAttribute(\"template\");\n\tthis.sort = this.getAttribute(\"sort\",\"yes\") === \"yes\";\n\tthis.sortReverse = this.getAttribute(\"sortReverse\",\"no\") === \"yes\";\n\tthis.exclude = this.getAttribute(\"exclude\");\n\tthis.include = this.getAttribute(\"include\",null);\n\tthis.stripTitlePrefix = this.getAttribute(\"stripTitlePrefix\",\"no\") === \"yes\";\n\t// Get the value to display\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle);\n\n\t// Get the inclusion and exclusion list\n\tvar excludeArr = (this.exclude) ? this.exclude.split(\" \") : [\"text\"];\n\t// Include takes precedence\n\tvar includeArr = (this.include) ? this.include.split(\" \") : null;\n\n\t// Compose the template\n\tvar text = [];\n\tif(this.template && tiddler) {\n\t\tvar fields = [];\n\t\tif (includeArr) { // Include takes precedence\n\t\t\tfor(var i=0; i<includeArr.length; i++) {\n\t\t\t\tif(tiddler.fields[includeArr[i]]) {\n\t\t\t\t\tfields.push(includeArr[i]);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tfor(var fieldName in tiddler.fields) {\n\t\t\t\tif(excludeArr.indexOf(fieldName) === -1) {\n\t\t\t\t\tfields.push(fieldName);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif (this.sort) fields.sort();\n\t\tif (this.sortReverse) fields.reverse();\n\t\tfor(var f=0, fmax=fields.length; f<fmax; f++) {\n\t\t\tfieldName = fields[f];\n\t\t\tvar row = this.template,\n\t\t\t\tvalue = tiddler.getFieldString(fieldName);\n\t\t\tif(this.stripTitlePrefix && fieldName === \"title\") {\n\t\t\t\tvar reStrip = /^\\{[^\\}]+\\}(.+)/mg,\n\t\t\t\t\treMatch = reStrip.exec(value);\n\t\t\t\tif(reMatch) {\n\t\t\t\t\tvalue = reMatch[1];\n\t\t\t\t}\n\t\t\t}\n\t\t\trow = $tw.utils.replaceString(row,\"$name$\",fieldName);\n\t\t\trow = $tw.utils.replaceString(row,\"$value$\",value);\n\t\t\trow = $tw.utils.replaceString(row,\"$encoded_value$\",$tw.utils.htmlEncode(value));\n\t\t\ttext.push(row);\n\t\t}\n\t}\n\tthis.text = text.join(\"\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nFieldsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif( changedAttributes.tiddler || changedAttributes.template || changedAttributes.exclude ||\n\t\tchangedAttributes.include || changedAttributes.sort || changedAttributes.sortReverse ||\n\t\tchangedTiddlers[this.tiddlerTitle] || changedAttributes.stripTitlePrefix) {\n\t\t\tthis.refreshSelf();\n\t\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\nexports.fields = FieldsWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/image.js": {
            "title": "$:/core/modules/widgets/image.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/image.js\ntype: application/javascript\nmodule-type: widget\n\nThe image widget displays an image referenced with an external URI or with a local tiddler title.\n\n```\n<$image src=\"TiddlerTitle\" width=\"320\" height=\"400\" class=\"classnames\">\n```\n\nThe image source can be the title of an existing tiddler or the URL of an external image.\n\nExternal images always generate an HTML `<img>` tag.\n\nTiddlers that have a _canonical_uri field generate an HTML `<img>` tag with the src attribute containing the URI.\n\nTiddlers that contain image data generate an HTML `<img>` tag with the src attribute containing a base64 representation of the image.\n\nTiddlers that contain wikitext could be rendered to a DIV of the usual size of a tiddler, and then transformed to the size requested.\n\nThe width and height attributes are interpreted as a number of pixels, and do not need to include the \"px\" suffix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ImageWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nImageWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nImageWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\t// Determine what type of image it is\n\tvar tag = \"img\", src = \"\",\n\t\ttiddler = this.wiki.getTiddler(this.imageSource);\n\tif(!tiddler) {\n\t\t// The source isn't the title of a tiddler, so we'll assume it's a URL\n\t\tsrc = this.getVariable(\"tv-get-export-image-link\",{params: [{name: \"src\",value: this.imageSource}],defaultValue: this.imageSource});\n\t} else {\n\t\t// Check if it is an image tiddler\n\t\tif(this.wiki.isImageTiddler(this.imageSource)) {\n\t\t\tvar type = tiddler.fields.type,\n\t\t\t\ttext = tiddler.fields.text,\n\t\t\t\t_canonical_uri = tiddler.fields._canonical_uri;\n\t\t\t// If the tiddler has body text then it doesn't need to be lazily loaded\n\t\t\tif(text) {\n\t\t\t\t// Render the appropriate element for the image type\n\t\t\t\tswitch(type) {\n\t\t\t\t\tcase \"application/pdf\":\n\t\t\t\t\t\ttag = \"embed\";\n\t\t\t\t\t\tsrc = \"data:application/pdf;base64,\" + text;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"image/svg+xml\":\n\t\t\t\t\t\tsrc = \"data:image/svg+xml,\" + encodeURIComponent(text);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tsrc = \"data:\" + type + \";base64,\" + text;\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t} else if(_canonical_uri) {\n\t\t\t\tswitch(type) {\n\t\t\t\t\tcase \"application/pdf\":\n\t\t\t\t\t\ttag = \"embed\";\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"image/svg+xml\":\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\t\n\t\t\t} else {\n\t\t\t\t// Just trigger loading of the tiddler\n\t\t\t\tthis.wiki.getTiddlerText(this.imageSource);\n\t\t\t}\n\t\t}\n\t}\n\t// Create the element and assign the attributes\n\tvar domNode = this.document.createElement(tag);\n\tdomNode.setAttribute(\"src\",src);\n\tif(this.imageClass) {\n\t\tdomNode.setAttribute(\"class\",this.imageClass);\t\t\n\t}\n\tif(this.imageWidth) {\n\t\tdomNode.setAttribute(\"width\",this.imageWidth);\n\t}\n\tif(this.imageHeight) {\n\t\tdomNode.setAttribute(\"height\",this.imageHeight);\n\t}\n\tif(this.imageTooltip) {\n\t\tdomNode.setAttribute(\"title\",this.imageTooltip);\t\t\n\t}\n\tif(this.imageAlt) {\n\t\tdomNode.setAttribute(\"alt\",this.imageAlt);\t\t\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nImageWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.imageSource = this.getAttribute(\"source\");\n\tthis.imageWidth = this.getAttribute(\"width\");\n\tthis.imageHeight = this.getAttribute(\"height\");\n\tthis.imageClass = this.getAttribute(\"class\");\n\tthis.imageTooltip = this.getAttribute(\"tooltip\");\n\tthis.imageAlt = this.getAttribute(\"alt\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nImageWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.source || changedAttributes.width || changedAttributes.height || changedAttributes[\"class\"] || changedAttributes.tooltip || changedTiddlers[this.imageSource]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\t\n\t}\n};\n\nexports.image = ImageWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/importvariables.js": {
            "title": "$:/core/modules/widgets/importvariables.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/importvariables.js\ntype: application/javascript\nmodule-type: widget\n\nImport variable definitions from other tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ImportVariablesWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nImportVariablesWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nImportVariablesWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nImportVariablesWidget.prototype.execute = function(tiddlerList) {\n\tvar widgetPointer = this;\n\t// Got to flush all the accumulated variables\n\tthis.variables = new this.variablesConstructor();\n\t// Get our parameters\n\tthis.filter = this.getAttribute(\"filter\");\n\t// Compute the filter\n\tthis.tiddlerList = tiddlerList || this.wiki.filterTiddlers(this.filter,this);\n\t// Accumulate the <$set> widgets from each tiddler\n\t$tw.utils.each(this.tiddlerList,function(title) {\n\t\tvar parser = widgetPointer.wiki.parseTiddler(title);\n\t\tif(parser) {\n\t\t\tvar parseTreeNode = parser.tree[0];\n\t\t\twhile(parseTreeNode && parseTreeNode.type === \"set\") {\n\t\t\t\tvar node = {\n\t\t\t\t\ttype: \"set\",\n\t\t\t\t\tattributes: parseTreeNode.attributes,\n\t\t\t\t\tparams: parseTreeNode.params,\n\t\t\t\t\tisMacroDefinition: parseTreeNode.isMacroDefinition\n\t\t\t\t};\n\t\t\t\tif (parseTreeNode.isMacroDefinition) {\n\t\t\t\t\t// Macro definitions can be folded into\n\t\t\t\t\t// current widget instead of adding\n\t\t\t\t\t// another link to the chain.\n\t\t\t\t\tvar widget = widgetPointer.makeChildWidget(node);\n\t\t\t\t\twidget.computeAttributes();\n\t\t\t\t\twidget.execute();\n\t\t\t\t\t// We SHALLOW copy over all variables\n\t\t\t\t\t// in widget. We can't use\n\t\t\t\t\t// $tw.utils.assign, because that copies\n\t\t\t\t\t// up the prototype chain, which we\n\t\t\t\t\t// don't want.\n\t\t\t\t\t$tw.utils.each(Object.keys(widget.variables), function(key) {\n\t\t\t\t\t\twidgetPointer.variables[key] = widget.variables[key];\n\t\t\t\t\t});\n\t\t\t\t} else {\n\t\t\t\t\twidgetPointer.children = [widgetPointer.makeChildWidget(node)];\n\t\t\t\t\t// No more regenerating children for\n\t\t\t\t\t// this widget. If it needs to refresh,\n\t\t\t\t\t// it'll do so along with the the whole\n\t\t\t\t\t// importvariable tree.\n\t\t\t\t\tif (widgetPointer != this) {\n\t\t\t\t\t\twidgetPointer.makeChildWidgets = function(){};\n\t\t\t\t\t}\n\t\t\t\t\twidgetPointer = widgetPointer.children[0];\n\t\t\t\t}\n\t\t\t\tparseTreeNode = parseTreeNode.children && parseTreeNode.children[0];\n\t\t\t}\n\t\t} \n\t});\n\n\tif (widgetPointer != this) {\n\t\twidgetPointer.parseTreeNode.children = this.parseTreeNode.children;\n\t} else {\n\t\twidgetPointer.makeChildWidgets();\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nImportVariablesWidget.prototype.refresh = function(changedTiddlers) {\n\t// Recompute our attributes and the filter list\n\tvar changedAttributes = this.computeAttributes(),\n\t\ttiddlerList = this.wiki.filterTiddlers(this.getAttribute(\"filter\"),this);\n\t// Refresh if the filter has changed, or the list of tiddlers has changed, or any of the tiddlers in the list has changed\n\tfunction haveListedTiddlersChanged() {\n\t\tvar changed = false;\n\t\ttiddlerList.forEach(function(title) {\n\t\t\tif(changedTiddlers[title]) {\n\t\t\t\tchanged = true;\n\t\t\t}\n\t\t});\n\t\treturn changed;\n\t}\n\tif(changedAttributes.filter || !$tw.utils.isArrayEqual(this.tiddlerList,tiddlerList) || haveListedTiddlersChanged()) {\n\t\t// Compute the filter\n\t\tthis.removeChildDomNodes();\n\t\tthis.execute(tiddlerList);\n\t\tthis.renderChildren(this.parentDomNode,this.findNextSiblingDomNode());\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.importvariables = ImportVariablesWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/keyboard.js": {
            "title": "$:/core/modules/widgets/keyboard.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/keyboard.js\ntype: application/javascript\nmodule-type: widget\n\nKeyboard shortcut widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar KeyboardWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nKeyboardWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nKeyboardWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.tag && $tw.config.htmlUnsafeElements.indexOf(this.tag) === -1) {\n\t\ttag = this.tag;\n\t}\n\t// Create element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = (this[\"class\"] || \"\").split(\" \");\n\tclasses.push(\"tc-keyboard\");\n\tdomNode.className = classes.join(\" \");\n\t// Add a keyboard event handler\n\tdomNode.addEventListener(\"keydown\",function (event) {\n\t\tif($tw.keyboardManager.checkKeyDescriptors(event,self.keyInfoArray)) {\n\t\t\tvar handled = self.invokeActions(self,event);\n\t\t\tif(self.actions) {\n\t\t\t\tself.invokeActionString(self.actions,self,event);\n\t\t\t}\n\t\t\tself.dispatchMessage(event);\n\t\t\tif(handled || self.actions || self.message) {\n\t\t\t\tevent.preventDefault();\n\t\t\t\tevent.stopPropagation();\n\t\t\t}\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nKeyboardWidget.prototype.dispatchMessage = function(event) {\n\tthis.dispatchEvent({type: this.message, param: this.param, tiddlerTitle: this.getVariable(\"currentTiddler\")});\n};\n\n/*\nCompute the internal state of the widget\n*/\nKeyboardWidget.prototype.execute = function() {\n\tvar self = this;\n\t// Get attributes\n\tthis.actions = this.getAttribute(\"actions\",\"\");\n\tthis.message = this.getAttribute(\"message\",\"\");\n\tthis.param = this.getAttribute(\"param\",\"\");\n\tthis.key = this.getAttribute(\"key\",\"\");\n\tthis.tag = this.getAttribute(\"tag\",\"\");\n\tthis.keyInfoArray = $tw.keyboardManager.parseKeyDescriptors(this.key);\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tif(this.key.substr(0,2) === \"((\" && this.key.substr(-2,2) === \"))\") {\n\t\tthis.shortcutTiddlers = [];\n\t\tvar name = this.key.substring(2,this.key.length -2);\n\t\t$tw.utils.each($tw.keyboardManager.lookupNames,function(platformDescriptor) {\n\t\t\tself.shortcutTiddlers.push(\"$:/config/\" + platformDescriptor + \"/\" + name);\n\t\t});\n\t}\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nKeyboardWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.message || changedAttributes.param || changedAttributes.key || changedAttributes[\"class\"] || changedAttributes.tag) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\t// Update the keyInfoArray if one of its shortcut-config-tiddlers has changed\n\tif(this.shortcutTiddlers && $tw.utils.hopArray(changedTiddlers,this.shortcutTiddlers)) {\n\t\tthis.keyInfoArray = $tw.keyboardManager.parseKeyDescriptors(this.key);\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.keyboard = KeyboardWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/link.js": {
            "title": "$:/core/modules/widgets/link.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/link.js\ntype: application/javascript\nmodule-type: widget\n\nLink widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LinkWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nLinkWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLinkWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Get the value of the tv-wikilinks configuration macro\n\tvar wikiLinksMacro = this.getVariable(\"tv-wikilinks\"),\n\t\tuseWikiLinks = wikiLinksMacro ? (wikiLinksMacro.trim() !== \"no\") : true,\n\t\tmissingLinksEnabled = !(this.hideMissingLinks && this.isMissing && !this.isShadow);\n\t// Render the link if required\n\tif(useWikiLinks && missingLinksEnabled) {\n\t\tthis.renderLink(parent,nextSibling);\n\t} else {\n\t\t// Just insert the link text\n\t\tvar domNode = this.document.createElement(\"span\");\n\t\tparent.insertBefore(domNode,nextSibling);\n\t\tthis.renderChildren(domNode,null);\n\t\tthis.domNodes.push(domNode);\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nLinkWidget.prototype.renderLink = function(parent,nextSibling) {\n\tvar self = this;\n\t// Sanitise the specified tag\n\tvar tag = this.linkTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"a\";\n\t}\n\t// Create our element\n\tvar namespace = this.getVariable(\"namespace\",{defaultValue: \"http://www.w3.org/1999/xhtml\"}),\n\t\tdomNode = this.document.createElementNS(namespace,tag);\n\t// Assign classes\n\tvar classes = [];\n\tif(this.overrideClasses === undefined) {\n\t\tclasses.push(\"tc-tiddlylink\");\n\t\tif(this.isShadow) {\n\t\t\tclasses.push(\"tc-tiddlylink-shadow\");\n\t\t}\n\t\tif(this.isMissing && !this.isShadow) {\n\t\t\tclasses.push(\"tc-tiddlylink-missing\");\n\t\t} else {\n\t\t\tif(!this.isMissing) {\n\t\t\t\tclasses.push(\"tc-tiddlylink-resolves\");\n\t\t\t}\n\t\t}\n\t\tif(this.linkClasses) {\n\t\t\tclasses.push(this.linkClasses);\t\t\t\n\t\t}\n\t} else if(this.overrideClasses !== \"\") {\n\t\tclasses.push(this.overrideClasses)\n\t}\n\tif(classes.length > 0) {\n\t\tdomNode.setAttribute(\"class\",classes.join(\" \"));\n\t}\n\t// Set an href\n\tvar wikilinkTransformFilter = this.getVariable(\"tv-filter-export-link\"),\n\t\twikiLinkText;\n\tif(wikilinkTransformFilter) {\n\t\t// Use the filter to construct the href\n\t\twikiLinkText = this.wiki.filterTiddlers(wikilinkTransformFilter,this,function(iterator) {\n\t\t\titerator(self.wiki.getTiddler(self.to),self.to)\n\t\t})[0];\n\t} else {\n\t\t// Expand the tv-wikilink-template variable to construct the href\n\t\tvar wikiLinkTemplateMacro = this.getVariable(\"tv-wikilink-template\"),\n\t\t\twikiLinkTemplate = wikiLinkTemplateMacro ? wikiLinkTemplateMacro.trim() : \"#$uri_encoded$\";\n\t\twikiLinkText = $tw.utils.replaceString(wikiLinkTemplate,\"$uri_encoded$\",encodeURIComponent(this.to));\n\t\twikiLinkText = $tw.utils.replaceString(wikiLinkText,\"$uri_doubleencoded$\",encodeURIComponent(encodeURIComponent(this.to)));\n\t}\n\t// Override with the value of tv-get-export-link if defined\n\twikiLinkText = this.getVariable(\"tv-get-export-link\",{params: [{name: \"to\",value: this.to}],defaultValue: wikiLinkText});\n\tif(tag === \"a\") {\n\t\tvar namespaceHref = (namespace === \"http://www.w3.org/2000/svg\") ? \"http://www.w3.org/1999/xlink\" : undefined;\n\t\tdomNode.setAttributeNS(namespaceHref,\"href\",wikiLinkText);\n\t}\n\t// Set the tabindex\n\tif(this.tabIndex) {\n\t\tdomNode.setAttribute(\"tabindex\",this.tabIndex);\n\t}\n\t// Set the tooltip\n\t// HACK: Performance issues with re-parsing the tooltip prevent us defaulting the tooltip to \"<$transclude field='tooltip'><$transclude field='title'/></$transclude>\"\n\tvar tooltipWikiText = this.tooltip || this.getVariable(\"tv-wikilink-tooltip\");\n\tif(tooltipWikiText) {\n\t\tvar tooltipText = this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",tooltipWikiText,{\n\t\t\t\tparseAsInline: true,\n\t\t\t\tvariables: {\n\t\t\t\t\tcurrentTiddler: this.to\n\t\t\t\t},\n\t\t\t\tparentWidget: this\n\t\t\t});\n\t\tdomNode.setAttribute(\"title\",tooltipText);\n\t}\n\tif(this[\"aria-label\"]) {\n\t\tdomNode.setAttribute(\"aria-label\",this[\"aria-label\"]);\n\t}\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"click\", handlerObject: this, handlerMethod: \"handleClickEvent\"},\n\t]);\n\t// Make the link draggable if required\n\tif(this.draggable === \"yes\") {\n\t\t$tw.utils.makeDraggable({\n\t\t\tdomNode: domNode,\n\t\t\tdragTiddlerFn: function() {return self.to;},\n\t\t\twidget: this\n\t\t});\n\t}\n\t// Insert the link into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nLinkWidget.prototype.handleClickEvent = function(event) {\n\t// Send the click on its way as a navigate event\n\tvar bounds = this.domNodes[0].getBoundingClientRect();\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.to,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: this,\n\t\tnavigateFromClientRect: { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: event.metaKey || event.ctrlKey || (event.button === 1),\n\t\tmetaKey: event.metaKey,\n\t\tctrlKey: event.ctrlKey,\n\t\taltKey: event.altKey,\n\t\tshiftKey: event.shiftKey,\n\t\tevent: event\n\t});\n\tif(this.domNodes[0].hasAttribute(\"href\")) {\n\t\tevent.preventDefault();\n\t}\n\tevent.stopPropagation();\n\treturn false;\n};\n\n/*\nCompute the internal state of the widget\n*/\nLinkWidget.prototype.execute = function() {\n\t// Pick up our attributes\n\tthis.to = this.getAttribute(\"to\",this.getVariable(\"currentTiddler\"));\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis[\"aria-label\"] = this.getAttribute(\"aria-label\");\n\tthis.linkClasses = this.getAttribute(\"class\");\n\tthis.overrideClasses = this.getAttribute(\"overrideClass\");\n\tthis.tabIndex = this.getAttribute(\"tabindex\");\n\tthis.draggable = this.getAttribute(\"draggable\",\"yes\");\n\tthis.linkTag = this.getAttribute(\"tag\",\"a\");\n\t// Determine the link characteristics\n\tthis.isMissing = !this.wiki.tiddlerExists(this.to);\n\tthis.isShadow = this.wiki.isShadowTiddler(this.to);\n\tthis.hideMissingLinks = (this.getVariable(\"tv-show-missing-links\") || \"yes\") === \"no\";\n\t// Make the child widgets\n\tvar templateTree;\n\tif(this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\ttemplateTree = this.parseTreeNode.children;\n\t} else {\n\t\t// Default template is a link to the title\n\t\ttemplateTree = [{type: \"text\", text: this.to}];\n\t}\n\tthis.makeChildWidgets(templateTree);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nLinkWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.to || changedTiddlers[this.to] || changedAttributes[\"aria-label\"] || changedAttributes.tooltip) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.link = LinkWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/linkcatcher.js": {
            "title": "$:/core/modules/widgets/linkcatcher.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/linkcatcher.js\ntype: application/javascript\nmodule-type: widget\n\nLinkcatcher widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LinkCatcherWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-navigate\", handler: \"handleNavigateEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nLinkCatcherWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLinkCatcherWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nLinkCatcherWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.catchTo = this.getAttribute(\"to\");\n\tthis.catchMessage = this.getAttribute(\"message\");\n\tthis.catchSet = this.getAttribute(\"set\");\n\tthis.catchSetTo = this.getAttribute(\"setTo\");\n\tthis.catchActions = this.getAttribute(\"actions\");\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n\t// When executing actions we avoid trapping navigate events, so that we don't trigger ourselves recursively\n\tthis.executingActions = false;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nLinkCatcherWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.to || changedAttributes.message || changedAttributes.set || changedAttributes.setTo) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\n/*\nHandle a tm-navigate event\n*/\nLinkCatcherWidget.prototype.handleNavigateEvent = function(event) {\n\tif(!this.executingActions) {\n\t\t// Execute the actions\n\t\tif(this.catchTo) {\n\t\t\tthis.wiki.setTextReference(this.catchTo,event.navigateTo,this.getVariable(\"currentTiddler\"));\n\t\t}\n\t\tif(this.catchMessage && this.parentWidget) {\n\t\t\tthis.parentWidget.dispatchEvent({\n\t\t\t\ttype: this.catchMessage,\n\t\t\t\tparam: event.navigateTo,\n\t\t\t\tnavigateTo: event.navigateTo\n\t\t\t});\n\t\t}\n\t\tif(this.catchSet) {\n\t\t\tvar tiddler = this.wiki.getTiddler(this.catchSet);\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,{title: this.catchSet, text: this.catchSetTo}));\n\t\t}\n\t\tif(this.catchActions) {\n\t\t\tthis.executingActions = true;\n\t\t\tvar modifierKey = $tw.keyboardManager.getEventModifierKeyDescriptor(event);\n\t\t\tthis.invokeActionString(this.catchActions,this,event,{navigateTo: event.navigateTo, modifier: modifierKey});\n\t\t\tthis.executingActions = false;\n\t\t}\n\t} else {\n\t\t// This is a navigate event generated by the actions of this linkcatcher, so we don't trap it again, but just pass it to the parent\n\t\tthis.parentWidget.dispatchEvent({\n\t\t\ttype: \"tm-navigate\",\n\t\t\tparam: event.navigateTo,\n\t\t\tnavigateTo: event.navigateTo\n\t\t});\n\t}\n\treturn false;\n};\n\nexports.linkcatcher = LinkCatcherWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/list.js": {
            "title": "$:/core/modules/widgets/list.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/list.js\ntype: application/javascript\nmodule-type: widget\n\nList and list item widgets\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\n/*\nThe list widget creates list element sub-widgets that reach back into the list widget for their configuration\n*/\n\nvar ListWidget = function(parseTreeNode,options) {\n\t// Initialise the storyviews if they've not been done already\n\tif(!this.storyViews) {\n\t\tListWidget.prototype.storyViews = {};\n\t\t$tw.modules.applyMethods(\"storyview\",this.storyViews);\n\t}\n\t// Main initialisation inherited from widget.js\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nListWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nListWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n\t// Construct the storyview\n\tvar StoryView = this.storyViews[this.storyViewName];\n\tif(this.storyViewName && !StoryView) {\n\t\tStoryView = this.storyViews[\"classic\"];\n\t}\n\tif(StoryView && !this.document.isTiddlyWikiFakeDom) {\n\t\tthis.storyview = new StoryView(this);\n\t} else {\n\t\tthis.storyview = null;\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nListWidget.prototype.execute = function() {\n\t// Get our attributes\n\tthis.template = this.getAttribute(\"template\");\n\tthis.editTemplate = this.getAttribute(\"editTemplate\");\n\tthis.variableName = this.getAttribute(\"variable\",\"currentTiddler\");\n\tthis.storyViewName = this.getAttribute(\"storyview\");\n\tthis.historyTitle = this.getAttribute(\"history\");\n\t// Compose the list elements\n\tthis.list = this.getTiddlerList();\n\tvar members = [],\n\t\tself = this;\n\t// Check for an empty list\n\tif(this.list.length === 0) {\n\t\tmembers = this.getEmptyMessage();\n\t} else {\n\t\t$tw.utils.each(this.list,function(title,index) {\n\t\t\tmembers.push(self.makeItemTemplate(title));\n\t\t});\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(members);\n\t// Clear the last history\n\tthis.history = [];\n};\n\nListWidget.prototype.getTiddlerList = function() {\n\tvar defaultFilter = \"[!is[system]sort[title]]\";\n\treturn this.wiki.filterTiddlers(this.getAttribute(\"filter\",defaultFilter),this);\n};\n\nListWidget.prototype.getEmptyMessage = function() {\n\tvar parser,\n\t\temptyMessage = this.getAttribute(\"emptyMessage\",\"\");\n\t// this.wiki.parseText() calls \n\t// new Parser(..), which should only be done, if needed, because it's heavy!\n\tif (emptyMessage === \"\") {\n\t\treturn [];\n\t}\n\tparser = this.wiki.parseText(\"text/vnd.tiddlywiki\",emptyMessage,{parseAsInline: true});\n\tif(parser) {\n\t\treturn parser.tree;\n\t} else {\n\t\treturn [];\n\t}\n};\n\n/*\nCompose the template for a list item\n*/\nListWidget.prototype.makeItemTemplate = function(title) {\n\t// Check if the tiddler is a draft\n\tvar tiddler = this.wiki.getTiddler(title),\n\t\tisDraft = tiddler && tiddler.hasField(\"draft.of\"),\n\t\ttemplate = this.template,\n\t\ttemplateTree;\n\tif(isDraft && this.editTemplate) {\n\t\ttemplate = this.editTemplate;\n\t}\n\t// Compose the transclusion of the template\n\tif(template) {\n\t\ttemplateTree = [{type: \"transclude\", attributes: {tiddler: {type: \"string\", value: template}}}];\n\t} else {\n\t\tif(this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\t\ttemplateTree = this.parseTreeNode.children;\n\t\t} else {\n\t\t\t// Default template is a link to the title\n\t\t\ttemplateTree = [{type: \"element\", tag: this.parseTreeNode.isBlock ? \"div\" : \"span\", children: [{type: \"link\", attributes: {to: {type: \"string\", value: title}}, children: [\n\t\t\t\t\t{type: \"text\", text: title}\n\t\t\t]}]}];\n\t\t}\n\t}\n\t// Return the list item\n\treturn {type: \"listitem\", itemTitle: title, variableName: this.variableName, children: templateTree};\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nListWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tresult;\n\t// Call the storyview\n\tif(this.storyview && this.storyview.refreshStart) {\n\t\tthis.storyview.refreshStart(changedTiddlers,changedAttributes);\n\t}\n\t// Completely refresh if any of our attributes have changed\n\tif(changedAttributes.filter || changedAttributes.template || changedAttributes.editTemplate || changedAttributes.emptyMessage || changedAttributes.storyview || changedAttributes.history) {\n\t\tthis.refreshSelf();\n\t\tresult = true;\n\t} else {\n\t\t// Handle any changes to the list\n\t\tresult = this.handleListChanges(changedTiddlers);\n\t\t// Handle any changes to the history stack\n\t\tif(this.historyTitle && changedTiddlers[this.historyTitle]) {\n\t\t\tthis.handleHistoryChanges();\n\t\t}\n\t}\n\t// Call the storyview\n\tif(this.storyview && this.storyview.refreshEnd) {\n\t\tthis.storyview.refreshEnd(changedTiddlers,changedAttributes);\n\t}\n\treturn result;\n};\n\n/*\nHandle any changes to the history list\n*/\nListWidget.prototype.handleHistoryChanges = function() {\n\t// Get the history data\n\tvar newHistory = this.wiki.getTiddlerDataCached(this.historyTitle,[]);\n\t// Ignore any entries of the history that match the previous history\n\tvar entry = 0;\n\twhile(entry < newHistory.length && entry < this.history.length && newHistory[entry].title === this.history[entry].title) {\n\t\tentry++;\n\t}\n\t// Navigate forwards to each of the new tiddlers\n\twhile(entry < newHistory.length) {\n\t\tif(this.storyview && this.storyview.navigateTo) {\n\t\t\tthis.storyview.navigateTo(newHistory[entry]);\n\t\t}\n\t\tentry++;\n\t}\n\t// Update the history\n\tthis.history = newHistory;\n};\n\n/*\nProcess any changes to the list\n*/\nListWidget.prototype.handleListChanges = function(changedTiddlers) {\n\t// Get the new list\n\tvar prevList = this.list;\n\tthis.list = this.getTiddlerList();\n\t// Check for an empty list\n\tif(this.list.length === 0) {\n\t\t// Check if it was empty before\n\t\tif(prevList.length === 0) {\n\t\t\t// If so, just refresh the empty message\n\t\t\treturn this.refreshChildren(changedTiddlers);\n\t\t} else {\n\t\t\t// Replace the previous content with the empty message\n\t\t\tfor(t=this.children.length-1; t>=0; t--) {\n\t\t\t\tthis.removeListItem(t);\n\t\t\t}\n\t\t\tvar nextSibling = this.findNextSiblingDomNode();\n\t\t\tthis.makeChildWidgets(this.getEmptyMessage());\n\t\t\tthis.renderChildren(this.parentDomNode,nextSibling);\n\t\t\treturn true;\n\t\t}\n\t} else {\n\t\t// If the list was empty then we need to remove the empty message\n\t\tif(prevList.length === 0) {\n\t\t\tthis.removeChildDomNodes();\n\t\t\tthis.children = [];\n\t\t}\n\t\t// Cycle through the list, inserting and removing list items as needed\n\t\tvar hasRefreshed = false;\n\t\tfor(var t=0; t<this.list.length; t++) {\n\t\t\tvar index = this.findListItem(t,this.list[t]);\n\t\t\tif(index === undefined) {\n\t\t\t\t// The list item must be inserted\n\t\t\t\tthis.insertListItem(t,this.list[t]);\n\t\t\t\thasRefreshed = true;\n\t\t\t} else {\n\t\t\t\t// There are intervening list items that must be removed\n\t\t\t\tfor(var n=index-1; n>=t; n--) {\n\t\t\t\t\tthis.removeListItem(n);\n\t\t\t\t\thasRefreshed = true;\n\t\t\t\t}\n\t\t\t\t// Refresh the item we're reusing\n\t\t\t\tvar refreshed = this.children[t].refresh(changedTiddlers);\n\t\t\t\thasRefreshed = hasRefreshed || refreshed;\n\t\t\t}\n\t\t}\n\t\t// Remove any left over items\n\t\tfor(t=this.children.length-1; t>=this.list.length; t--) {\n\t\t\tthis.removeListItem(t);\n\t\t\thasRefreshed = true;\n\t\t}\n\t\treturn hasRefreshed;\n\t}\n};\n\n/*\nFind the list item with a given title, starting from a specified position\n*/\nListWidget.prototype.findListItem = function(startIndex,title) {\n\twhile(startIndex < this.children.length) {\n\t\tif(this.children[startIndex].parseTreeNode.itemTitle === title) {\n\t\t\treturn startIndex;\n\t\t}\n\t\tstartIndex++;\n\t}\n\treturn undefined;\n};\n\n/*\nInsert a new list item at the specified index\n*/\nListWidget.prototype.insertListItem = function(index,title) {\n\t// Create, insert and render the new child widgets\n\tvar widget = this.makeChildWidget(this.makeItemTemplate(title));\n\twidget.parentDomNode = this.parentDomNode; // Hack to enable findNextSiblingDomNode() to work\n\tthis.children.splice(index,0,widget);\n\tvar nextSibling = widget.findNextSiblingDomNode();\n\twidget.render(this.parentDomNode,nextSibling);\n\t// Animate the insertion if required\n\tif(this.storyview && this.storyview.insert) {\n\t\tthis.storyview.insert(widget);\n\t}\n\treturn true;\n};\n\n/*\nRemove the specified list item\n*/\nListWidget.prototype.removeListItem = function(index) {\n\tvar widget = this.children[index];\n\t// Animate the removal if required\n\tif(this.storyview && this.storyview.remove) {\n\t\tthis.storyview.remove(widget);\n\t} else {\n\t\twidget.removeChildDomNodes();\n\t}\n\t// Remove the child widget\n\tthis.children.splice(index,1);\n};\n\nexports.list = ListWidget;\n\nvar ListItemWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nListItemWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nListItemWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nListItemWidget.prototype.execute = function() {\n\t// Set the current list item title\n\tthis.setVariable(this.parseTreeNode.variableName,this.parseTreeNode.itemTitle);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nListItemWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.listitem = ListItemWidget;\n\n})();",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/log.js": {
            "title": "$:/core/modules/widgets/log.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/log.js\ntype: application/javascript\nmodule-type: widget-subclass\n\nWidget to log debug messages\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.baseClass = \"action-log\";\n\nexports.name = \"log\";\n\nexports.constructor = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n}\n\nexports.prototype = {};\n\nexports.prototype.render = function(event) {\n\tObject.getPrototypeOf(Object.getPrototypeOf(this)).render.call(this,event);\t\n\tObject.getPrototypeOf(Object.getPrototypeOf(this)).log.call(this);\n}\n\n})();",
            "type": "application/javascript",
            "module-type": "widget-subclass"
        },
        "$:/core/modules/widgets/macrocall.js": {
            "title": "$:/core/modules/widgets/macrocall.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/macrocall.js\ntype: application/javascript\nmodule-type: widget\n\nMacrocall widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar MacroCallWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nMacroCallWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nMacroCallWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nMacroCallWidget.prototype.execute = function() {\n\t// Get the parse type if specified\n\tthis.parseType = this.getAttribute(\"$type\",\"text/vnd.tiddlywiki\");\n\tthis.renderOutput = this.getAttribute(\"$output\",\"text/html\");\n\t// Merge together the parameters specified in the parse tree with the specified attributes\n\tvar params = this.parseTreeNode.params ? this.parseTreeNode.params.slice(0) : [];\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tparams.push({name: name, value: attribute});\t\t\t\n\t\t}\n\t});\n\t// Get the macro value\n\tvar macroName = this.parseTreeNode.name || this.getAttribute(\"$name\"),\n\t\tvariableInfo = this.getVariableInfo(macroName,{params: params}),\n\t\ttext = variableInfo.text,\n\t\tparseTreeNodes;\n\t// Are we rendering to HTML?\n\tif(this.renderOutput === \"text/html\") {\n\t\t// If so we'll return the parsed macro\n\t\t// Check if we've already cached parsing this macro\n\t\tvar mode = this.parseTreeNode.isBlock ? \"blockParser\" : \"inlineParser\",\n\t\t\tparser;\n\t\tif(variableInfo.srcVariable && variableInfo.srcVariable[mode]) {\n\t\t\tparser = variableInfo.srcVariable[mode];\n\t\t} else {\n\t\t\tparser = this.wiki.parseText(this.parseType,text,\n\t\t\t\t\t\t\t\t{parseAsInline: !this.parseTreeNode.isBlock});\n\t\t\tif(variableInfo.isCacheable && variableInfo.srcVariable) {\n\t\t\t\tvariableInfo.srcVariable[mode] = parser;\n\t\t\t}\n\t\t}\n\t\tvar parseTreeNodes = parser ? parser.tree : [];\n\t\t// Wrap the parse tree in a vars widget assigning the parameters to variables named \"__paramname__\"\n\t\tvar attributes = {};\n\t\t$tw.utils.each(variableInfo.params,function(param) {\n\t\t\tvar name = \"__\" + param.name + \"__\";\n\t\t\tattributes[name] = {\n\t\t\t\tname: name,\n\t\t\t\ttype: \"string\",\n\t\t\t\tvalue: param.value\n\t\t\t};\n\t\t});\n\t\tparseTreeNodes = [{\n\t\t\ttype: \"vars\",\n\t\t\tattributes: attributes,\n\t\t\tchildren: parseTreeNodes\n\t\t}];\n\t} else if(this.renderOutput === \"text/raw\") {\n\t\tparseTreeNodes = [{type: \"text\", text: text}];\n\t} else {\n\t\t// Otherwise, we'll render the text\n\t\tvar plainText = this.wiki.renderText(\"text/plain\",this.parseType,text,{parentWidget: this});\n\t\tparseTreeNodes = [{type: \"text\", text: plainText}];\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nMacroCallWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\t// Rerender ourselves\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.macrocall = MacroCallWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/navigator.js": {
            "title": "$:/core/modules/widgets/navigator.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/navigator.js\ntype: application/javascript\nmodule-type: widget\n\nNavigator widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar IMPORT_TITLE = \"$:/Import\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar NavigatorWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-navigate\", handler: \"handleNavigateEvent\"},\n\t\t{type: \"tm-edit-tiddler\", handler: \"handleEditTiddlerEvent\"},\n\t\t{type: \"tm-delete-tiddler\", handler: \"handleDeleteTiddlerEvent\"},\n\t\t{type: \"tm-save-tiddler\", handler: \"handleSaveTiddlerEvent\"},\n\t\t{type: \"tm-cancel-tiddler\", handler: \"handleCancelTiddlerEvent\"},\n\t\t{type: \"tm-close-tiddler\", handler: \"handleCloseTiddlerEvent\"},\n\t\t{type: \"tm-close-all-tiddlers\", handler: \"handleCloseAllTiddlersEvent\"},\n\t\t{type: \"tm-close-other-tiddlers\", handler: \"handleCloseOtherTiddlersEvent\"},\n\t\t{type: \"tm-new-tiddler\", handler: \"handleNewTiddlerEvent\"},\n\t\t{type: \"tm-import-tiddlers\", handler: \"handleImportTiddlersEvent\"},\n\t\t{type: \"tm-perform-import\", handler: \"handlePerformImportEvent\"},\n\t\t{type: \"tm-fold-tiddler\", handler: \"handleFoldTiddlerEvent\"},\n\t\t{type: \"tm-fold-other-tiddlers\", handler: \"handleFoldOtherTiddlersEvent\"},\n\t\t{type: \"tm-fold-all-tiddlers\", handler: \"handleFoldAllTiddlersEvent\"},\n\t\t{type: \"tm-unfold-all-tiddlers\", handler: \"handleUnfoldAllTiddlersEvent\"},\n\t\t{type: \"tm-rename-tiddler\", handler: \"handleRenameTiddlerEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nNavigatorWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nNavigatorWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nNavigatorWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.storyTitle = this.getAttribute(\"story\");\n\tthis.historyTitle = this.getAttribute(\"history\");\n\tthis.setVariable(\"tv-story-list\",this.storyTitle);\n\tthis.setVariable(\"tv-history-list\",this.historyTitle);\n\tthis.story = new $tw.Story({\n\t\twiki: this.wiki,\n\t\tstoryTitle: this.storyTitle,\n\t\thistoryTitle: this.historyTitle\n\t});\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nNavigatorWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.story || changedAttributes.history) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nNavigatorWidget.prototype.getStoryList = function() {\n\treturn this.storyTitle ? this.wiki.getTiddlerList(this.storyTitle) : null;\n};\n\nNavigatorWidget.prototype.saveStoryList = function(storyList) {\n\tif(this.storyTitle) {\n\t\tvar storyTiddler = this.wiki.getTiddler(this.storyTitle);\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\t\t{title: this.storyTitle},\n\t\t\tstoryTiddler,\n\t\t\t{list: storyList}\n\t\t));\t\t\n\t}\n};\n\nNavigatorWidget.prototype.removeTitleFromStory = function(storyList,title) {\n\tif(storyList) {\n\t\tvar p = storyList.indexOf(title);\n\t\twhile(p !== -1) {\n\t\t\tstoryList.splice(p,1);\n\t\t\tp = storyList.indexOf(title);\n\t\t}\t\t\n\t}\n};\n\nNavigatorWidget.prototype.replaceFirstTitleInStory = function(storyList,oldTitle,newTitle) {\n\tif(storyList) {\n\t\tvar pos = storyList.indexOf(oldTitle);\n\t\tif(pos !== -1) {\n\t\t\tstoryList[pos] = newTitle;\n\t\t\tdo {\n\t\t\t\tpos = storyList.indexOf(oldTitle,pos + 1);\n\t\t\t\tif(pos !== -1) {\n\t\t\t\t\tstoryList.splice(pos,1);\n\t\t\t\t}\n\t\t\t} while(pos !== -1);\n\t\t} else {\n\t\t\tstoryList.splice(0,0,newTitle);\n\t\t}\t\t\n\t}\n};\n\nNavigatorWidget.prototype.addToStory = function(title,fromTitle) {\n\tif(this.storyTitle) {\n\t\tthis.story.addToStory(title,fromTitle,{\n\t\t\topenLinkFromInsideRiver: this.getAttribute(\"openLinkFromInsideRiver\",\"top\"),\n\t\t\topenLinkFromOutsideRiver: this.getAttribute(\"openLinkFromOutsideRiver\",\"top\")\n\t\t});\n\t}\n};\n\n/*\nAdd a new record to the top of the history stack\ntitle: a title string or an array of title strings\nfromPageRect: page coordinates of the origin of the navigation\n*/\nNavigatorWidget.prototype.addToHistory = function(title,fromPageRect) {\n\tthis.story.addToHistory(title,fromPageRect,this.historyTitle);\n};\n\n/*\nHandle a tm-navigate event\n*/\nNavigatorWidget.prototype.handleNavigateEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-navigating\",event);\n\tif(event.navigateTo) {\n\t\tthis.addToStory(event.navigateTo,event.navigateFromTitle);\n\t\tif(!event.navigateSuppressNavigation) {\n\t\t\tthis.addToHistory(event.navigateTo,event.navigateFromClientRect);\n\t\t}\n\t}\n\treturn false;\n};\n\n// Close a specified tiddler\nNavigatorWidget.prototype.handleCloseTiddlerEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle,\n\t\tstoryList = this.getStoryList();\n\t// Look for tiddlers with this title to close\n\tthis.removeTitleFromStory(storyList,title);\n\tthis.saveStoryList(storyList);\n\treturn false;\n};\n\n// Close all tiddlers\nNavigatorWidget.prototype.handleCloseAllTiddlersEvent = function(event) {\n\tthis.saveStoryList([]);\n\treturn false;\n};\n\n// Close other tiddlers\nNavigatorWidget.prototype.handleCloseOtherTiddlersEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle;\n\tthis.saveStoryList([title]);\n\treturn false;\n};\n\n// Place a tiddler in edit mode\nNavigatorWidget.prototype.handleEditTiddlerEvent = function(event) {\n\tvar editTiddler = $tw.hooks.invokeHook(\"th-editing-tiddler\",event);\n\tif(!editTiddler) {\n\t\treturn false;\n\t}\n\tvar self = this;\n\tfunction isUnmodifiedShadow(title) {\n\t\treturn self.wiki.isShadowTiddler(title) && !self.wiki.tiddlerExists(title);\n\t}\n\tfunction confirmEditShadow(title) {\n\t\treturn confirm($tw.language.getString(\n\t\t\t\"ConfirmEditShadowTiddler\",\n\t\t\t{variables:\n\t\t\t\t{title: title}\n\t\t\t}\n\t\t));\n\t}\n\tvar title = event.param || event.tiddlerTitle;\n\tif(isUnmodifiedShadow(title) && !confirmEditShadow(title)) {\n\t\treturn false;\n\t}\n\t// Replace the specified tiddler with a draft in edit mode\n\tvar draftTiddler = this.makeDraftTiddler(title);\n\t// Update the story and history if required\n\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\tvar draftTitle = draftTiddler.fields.title,\n\t\t\tstoryList = this.getStoryList();\n\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\tthis.replaceFirstTitleInStory(storyList,title,draftTitle);\n\t\tthis.addToHistory(draftTitle,event.navigateFromClientRect);\n\t\tthis.saveStoryList(storyList);\n\t\treturn false;\n\t}\n};\n\n// Delete a tiddler\nNavigatorWidget.prototype.handleDeleteTiddlerEvent = function(event) {\n\t// Get the tiddler we're deleting\n\tvar title = event.param || event.tiddlerTitle,\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tstoryList = this.getStoryList(),\n\t\toriginalTitle = tiddler ? tiddler.fields[\"draft.of\"] : \"\",\n\t\toriginalTiddler = originalTitle ? this.wiki.getTiddler(originalTitle) : undefined,\n\t\tconfirmationTitle;\n\tif(!tiddler) {\n\t\treturn false;\n\t}\n\t// Check if the tiddler we're deleting is in draft mode\n\tif(originalTitle) {\n\t\t// If so, we'll prompt for confirmation referencing the original tiddler\n\t\tconfirmationTitle = originalTitle;\n\t} else {\n\t\t// If not a draft, then prompt for confirmation referencing the specified tiddler\n\t\tconfirmationTitle = title;\n\t}\n\t// Seek confirmation\n\tif((this.wiki.getTiddler(originalTitle) || (tiddler.fields.text || \"\") !== \"\") && !confirm($tw.language.getString(\n\t\t\t\t\"ConfirmDeleteTiddler\",\n\t\t\t\t{variables:\n\t\t\t\t\t{title: confirmationTitle}\n\t\t\t\t}\n\t\t\t))) {\n\t\treturn false;\n\t}\n\t// Delete the original tiddler\n\tif(originalTitle) {\n\t\tif(originalTiddler) {\n\t\t\t$tw.hooks.invokeHook(\"th-deleting-tiddler\",originalTiddler);\n\t\t}\n\t\tthis.wiki.deleteTiddler(originalTitle);\n\t\tthis.removeTitleFromStory(storyList,originalTitle);\n\t}\n\t// Invoke the hook function and delete this tiddler\n\t$tw.hooks.invokeHook(\"th-deleting-tiddler\",tiddler);\n\tthis.wiki.deleteTiddler(title);\n\t// Remove the closed tiddler from the story\n\tthis.removeTitleFromStory(storyList,title);\n\tthis.saveStoryList(storyList);\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\treturn false;\n};\n\n/*\nCreate/reuse the draft tiddler for a given title\n*/\nNavigatorWidget.prototype.makeDraftTiddler = function(targetTitle) {\n\t// See if there is already a draft tiddler for this tiddler\n\tvar draftTitle = this.wiki.findDraft(targetTitle);\n\tif(draftTitle) {\n\t\treturn this.wiki.getTiddler(draftTitle);\n\t}\n\t// Get the current value of the tiddler we're editing\n\tvar tiddler = this.wiki.getTiddler(targetTitle);\n\t// Save the initial value of the draft tiddler\n\tdraftTitle = this.generateDraftTitle(targetTitle);\n\tvar draftTiddler = new $tw.Tiddler({\n\t\t\t\ttext: \"\",\n\t\t\t},\n\t\t\ttiddler,\n\t\t\t{\n\t\t\t\ttitle: draftTitle,\n\t\t\t\t\"draft.title\": targetTitle,\n\t\t\t\t\"draft.of\": targetTitle\n\t\t\t},\n\t\t\tthis.wiki.getModificationFields()\n\t\t);\n\tthis.wiki.addTiddler(draftTiddler);\n\treturn draftTiddler;\n};\n\n/*\nGenerate a title for the draft of a given tiddler\n*/\nNavigatorWidget.prototype.generateDraftTitle = function(title) {\n\treturn this.wiki.generateDraftTitle(title);\n};\n\n// Take a tiddler out of edit mode, saving the changes\nNavigatorWidget.prototype.handleSaveTiddlerEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle,\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tstoryList = this.getStoryList();\n\t// Replace the original tiddler with the draft\n\tif(tiddler) {\n\t\tvar draftTitle = (tiddler.fields[\"draft.title\"] || \"\").trim(),\n\t\t\tdraftOf = (tiddler.fields[\"draft.of\"] || \"\").trim();\n\t\tif(draftTitle) {\n\t\t\tvar isRename = draftOf !== draftTitle,\n\t\t\t\tisConfirmed = true;\n\t\t\tif(isRename && this.wiki.tiddlerExists(draftTitle)) {\n\t\t\t\tisConfirmed = confirm($tw.language.getString(\n\t\t\t\t\t\"ConfirmOverwriteTiddler\",\n\t\t\t\t\t{variables:\n\t\t\t\t\t\t{title: draftTitle}\n\t\t\t\t\t}\n\t\t\t\t));\n\t\t\t}\n\t\t\tif(isConfirmed) {\n\t\t\t\t// Create the new tiddler and pass it through the th-saving-tiddler hook\n\t\t\t\tvar newTiddler = new $tw.Tiddler(this.wiki.getCreationFields(),tiddler,{\n\t\t\t\t\ttitle: draftTitle,\n\t\t\t\t\t\"draft.title\": undefined,\n\t\t\t\t\t\"draft.of\": undefined\n\t\t\t\t},this.wiki.getModificationFields());\n\t\t\t\tnewTiddler = $tw.hooks.invokeHook(\"th-saving-tiddler\",newTiddler,tiddler);\n\t\t\t\tthis.wiki.addTiddler(newTiddler);\n\t\t\t\t// If enabled, relink references to renamed tiddler\n\t\t\t\tvar shouldRelink = this.getAttribute(\"relinkOnRename\",\"no\").toLowerCase().trim() === \"yes\";\n\t\t\t\tif(isRename && shouldRelink && this.wiki.tiddlerExists(draftOf)) {\n\t\t\t\t\tthis.wiki.relinkTiddler(draftOf,draftTitle);\n\t\t\t\t}\n\t\t\t\t// Remove the draft tiddler\n\t\t\t\tthis.wiki.deleteTiddler(title);\n\t\t\t\t// Remove the original tiddler if we're renaming it\n\t\t\t\tif(isRename) {\n\t\t\t\t\tthis.wiki.deleteTiddler(draftOf);\n\t\t\t\t}\n\t\t\t\t// #2381 always remove new title & old\n\t\t\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\t\t\tthis.removeTitleFromStory(storyList,draftOf);\n\t\t\t\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\t\t\t\t// Replace the draft in the story with the original\n\t\t\t\t\tthis.replaceFirstTitleInStory(storyList,title,draftTitle);\n\t\t\t\t\tthis.addToHistory(draftTitle,event.navigateFromClientRect);\n\t\t\t\t\tif(draftTitle !== this.storyTitle) {\n\t\t\t\t\t\tthis.saveStoryList(storyList);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Trigger an autosave\n\t\t\t\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\n// Take a tiddler out of edit mode without saving the changes\nNavigatorWidget.prototype.handleCancelTiddlerEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-cancelling-tiddler\", event);\n\t// Flip the specified tiddler from draft back to the original\n\tvar draftTitle = event.param || event.tiddlerTitle,\n\t\tdraftTiddler = this.wiki.getTiddler(draftTitle),\n\t\toriginalTitle = draftTiddler && draftTiddler.fields[\"draft.of\"];\n\tif(draftTiddler && originalTitle) {\n\t\t// Ask for confirmation if the tiddler text has changed\n\t\tvar isConfirmed = true,\n\t\t\toriginalTiddler = this.wiki.getTiddler(originalTitle),\n\t\t\tstoryList = this.getStoryList();\n\t\tif(this.wiki.isDraftModified(draftTitle)) {\n\t\t\tisConfirmed = confirm($tw.language.getString(\n\t\t\t\t\"ConfirmCancelTiddler\",\n\t\t\t\t{variables:\n\t\t\t\t\t{title: draftTitle}\n\t\t\t\t}\n\t\t\t));\n\t\t}\n\t\t// Remove the draft tiddler\n\t\tif(isConfirmed) {\n\t\t\tthis.wiki.deleteTiddler(draftTitle);\n\t\t\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\t\t\tif(originalTiddler) {\n\t\t\t\t\tthis.replaceFirstTitleInStory(storyList,draftTitle,originalTitle);\n\t\t\t\t\tthis.addToHistory(originalTitle,event.navigateFromClientRect);\n\t\t\t\t} else {\n\t\t\t\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\t\t\t}\n\t\t\t\tthis.saveStoryList(storyList);\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\n// Create a new draft tiddler\n// event.param can either be the title of a template tiddler, or a hashmap of fields.\n//\n// The title of the newly created tiddler follows these rules:\n// * If a hashmap was used and a title field was specified, use that title\n// * If a hashmap was used without a title field, use a default title, if necessary making it unique with a numeric suffix\n// * If a template tiddler was used, use the title of the template, if necessary making it unique with a numeric suffix\n//\n// If a draft of the target tiddler already exists then it is reused\nNavigatorWidget.prototype.handleNewTiddlerEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-new-tiddler\", event);\n\t// Get the story details\n\tvar storyList = this.getStoryList(),\n\t\ttemplateTiddler, additionalFields, title, draftTitle, existingTiddler;\n\t// Get the template tiddler (if any)\n\tif(typeof event.param === \"string\") {\n\t\t// Get the template tiddler\n\t\ttemplateTiddler = this.wiki.getTiddler(event.param);\n\t\t// Generate a new title\n\t\ttitle = this.wiki.generateNewTitle(event.param || $tw.language.getString(\"DefaultNewTiddlerTitle\"));\n\t}\n\t// Get the specified additional fields\n\tif(typeof event.paramObject === \"object\") {\n\t\tadditionalFields = event.paramObject;\n\t}\n\tif(typeof event.param === \"object\") { // Backwards compatibility with 5.1.3\n\t\tadditionalFields = event.param;\n\t}\n\tif(additionalFields && additionalFields.title) {\n\t\ttitle = additionalFields.title;\n\t}\n\t// Make a copy of the additional fields excluding any blank ones\n\tvar filteredAdditionalFields = $tw.utils.extend({},additionalFields);\n\tObject.keys(filteredAdditionalFields).forEach(function(fieldName) {\n\t\tif(filteredAdditionalFields[fieldName] === \"\") {\n\t\t\tdelete filteredAdditionalFields[fieldName];\n\t\t}\n\t});\n\t// Generate a title if we don't have one\n\ttitle = title || this.wiki.generateNewTitle($tw.language.getString(\"DefaultNewTiddlerTitle\"));\n\t// Find any existing draft for this tiddler\n\tdraftTitle = this.wiki.findDraft(title);\n\t// Pull in any existing tiddler\n\tif(draftTitle) {\n\t\texistingTiddler = this.wiki.getTiddler(draftTitle);\n\t} else {\n\t\tdraftTitle = this.generateDraftTitle(title);\n\t\texistingTiddler = this.wiki.getTiddler(title);\n\t}\n\t// Merge the tags\n\tvar mergedTags = [];\n\tif(existingTiddler && existingTiddler.fields.tags) {\n\t\t$tw.utils.pushTop(mergedTags,existingTiddler.fields.tags);\n\t}\n\tif(additionalFields && additionalFields.tags) {\n\t\t// Merge tags\n\t\tmergedTags = $tw.utils.pushTop(mergedTags,$tw.utils.parseStringArray(additionalFields.tags));\n\t}\n\tif(templateTiddler && templateTiddler.fields.tags) {\n\t\t// Merge tags\n\t\tmergedTags = $tw.utils.pushTop(mergedTags,templateTiddler.fields.tags);\n\t}\n\t// Save the draft tiddler\n\tvar draftTiddler = new $tw.Tiddler({\n\t\t\ttext: \"\",\n\t\t\t\"draft.title\": title\n\t\t},\n\t\ttemplateTiddler,\n\t\tadditionalFields,\n\t\tthis.wiki.getCreationFields(),\n\t\texistingTiddler,\n\t\tfilteredAdditionalFields,\n\t\t{\n\t\t\ttitle: draftTitle,\n\t\t\t\"draft.of\": title,\n\t\t\ttags: mergedTags\n\t\t},this.wiki.getModificationFields());\n\tthis.wiki.addTiddler(draftTiddler);\n\t// Update the story to insert the new draft at the top and remove any existing tiddler\n\tif(storyList && storyList.indexOf(draftTitle) === -1) {\n\t\tvar slot = storyList.indexOf(event.navigateFromTitle);\n\t\tif(slot === -1) {\n\t\t\tslot = this.getAttribute(\"openLinkFromOutsideRiver\",\"top\") === \"bottom\" ? storyList.length - 1 : slot;\n\t\t}\n\t\tstoryList.splice(slot + 1,0,draftTitle);\n\t}\n\tif(storyList && storyList.indexOf(title) !== -1) {\n\t\tstoryList.splice(storyList.indexOf(title),1);\n\t}\n\tthis.saveStoryList(storyList);\n\t// Add a new record to the top of the history stack\n\tthis.addToHistory(draftTitle);\n\treturn false;\n};\n\n// Import JSON tiddlers into a pending import tiddler\nNavigatorWidget.prototype.handleImportTiddlersEvent = function(event) {\n\t// Get the tiddlers\n\tvar tiddlers = [];\n\ttry {\n\t\ttiddlers = JSON.parse(event.param);\n\t} catch(e) {\n\t}\n\t// Get the current $:/Import tiddler\n\tvar importTitle = event.importTitle ? event.importTitle : IMPORT_TITLE,\n\t\timportTiddler = this.wiki.getTiddler(importTitle),\n\t\timportData = this.wiki.getTiddlerData(importTitle,{}),\n\t\tnewFields = new Object({\n\t\t\ttitle: importTitle,\n\t\t\ttype: \"application/json\",\n\t\t\t\"plugin-type\": \"import\",\n\t\t\t\"status\": \"pending\"\n\t\t}),\n\t\tincomingTiddlers = [];\n\t// Process each tiddler\n\timportData.tiddlers = importData.tiddlers || {};\n\t$tw.utils.each(tiddlers,function(tiddlerFields) {\n\t\ttiddlerFields.title = $tw.utils.trim(tiddlerFields.title);\n\t\tvar title = tiddlerFields.title;\n\t\tif(title) {\n\t\t\tincomingTiddlers.push(title);\n\t\t\timportData.tiddlers[title] = tiddlerFields;\n\t\t}\n\t});\n\t// Give the active upgrader modules a chance to process the incoming tiddlers\n\tvar messages = this.wiki.invokeUpgraders(incomingTiddlers,importData.tiddlers);\n\t$tw.utils.each(messages,function(message,title) {\n\t\tnewFields[\"message-\" + title] = message;\n\t});\n\t// Deselect any suppressed tiddlers\n\t$tw.utils.each(importData.tiddlers,function(tiddler,title) {\n\t\tif($tw.utils.count(tiddler) === 0) {\n\t\t\tnewFields[\"selection-\" + title] = \"unchecked\";\n\t\t\tnewFields[\"suppressed-\" + title] = \"yes\";\n\t\t}\n\t});\n\t// Save the $:/Import tiddler\n\tnewFields.text = JSON.stringify(importData,null,$tw.config.preferences.jsonSpaces);\n\tthis.wiki.addTiddler(new $tw.Tiddler(importTiddler,newFields));\n\t// Update the story and history details\n\tvar autoOpenOnImport = event.autoOpenOnImport ? event.autoOpenOnImport : this.getVariable(\"tv-auto-open-on-import\");  \n\tif(autoOpenOnImport !== \"no\") {\n\t\tvar storyList = this.getStoryList(),\n\t\t\thistory = [];\n\t\t// Add it to the story\n\t\tif(storyList && storyList.indexOf(importTitle) === -1) {\n\t\t\tstoryList.unshift(importTitle);\n\t\t}\n\t\t// And to history\n\t\thistory.push(importTitle);\n\t\t// Save the updated story and history\n\t\tthis.saveStoryList(storyList);\n\t\tthis.addToHistory(history);\n\t}\n\treturn false;\n};\n\n//\nNavigatorWidget.prototype.handlePerformImportEvent = function(event) {\n\tvar self = this,\n\t\timportTiddler = this.wiki.getTiddler(event.param),\n\t\timportData = this.wiki.getTiddlerDataCached(event.param,{tiddlers: {}}),\n\t\timportReport = [];\n\t// Add the tiddlers to the store\n\timportReport.push($tw.language.getString(\"Import/Imported/Hint\") + \"\\n\");\n\t$tw.utils.each(importData.tiddlers,function(tiddlerFields) {\n\t\tvar title = tiddlerFields.title;\n\t\tif(title && importTiddler && importTiddler.fields[\"selection-\" + title] !== \"unchecked\") {\n\t\t\tif($tw.utils.hop(importTiddler.fields,[\"rename-\" + title])) {\n\t\t\t\tvar tiddler = new $tw.Tiddler(tiddlerFields,{title : importTiddler.fields[\"rename-\" + title]});\n\t\t\t} else {\n\t\t\t\tvar tiddler = new $tw.Tiddler(tiddlerFields);\n\t\t\t}\n\t\t\ttiddler = $tw.hooks.invokeHook(\"th-importing-tiddler\",tiddler);\n\t\t\tself.wiki.addTiddler(tiddler);\n\t\t\timportReport.push(\"# [[\" + tiddler.fields.title + \"]]\");\n\t\t}\n\t});\n\t// Replace the $:/Import tiddler with an import report\n\tthis.wiki.addTiddler(new $tw.Tiddler({\n\t\ttitle: event.param,\n\t\ttext: importReport.join(\"\\n\"),\n\t\t\"status\": \"complete\"\n\t}));\n\t// Navigate to the $:/Import tiddler\n\tthis.addToHistory([event.param]);\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n};\n\nNavigatorWidget.prototype.handleFoldTiddlerEvent = function(event) {\n\tvar paramObject = event.paramObject || {};\n\tif(paramObject.foldedState) {\n\t\tvar foldedState = this.wiki.getTiddlerText(paramObject.foldedState,\"show\") === \"show\" ? \"hide\" : \"show\";\n\t\tthis.wiki.setText(paramObject.foldedState,\"text\",null,foldedState);\n\t}\n};\n\nNavigatorWidget.prototype.handleFoldOtherTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,event.param === title ? \"show\" : \"hide\");\n\t});\n};\n\nNavigatorWidget.prototype.handleFoldAllTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix || \"$:/state/folded/\";\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,\"hide\");\n\t});\n};\n\nNavigatorWidget.prototype.handleUnfoldAllTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,\"show\");\n\t});\n};\n\nNavigatorWidget.prototype.handleRenameTiddlerEvent = function(event) {\n\tvar options = {},\n\t\tparamObject = event.paramObject || {},\n\t\tfrom = paramObject.from || event.tiddlerTitle,\n\t\tto = paramObject.to;\n\toptions.dontRenameInTags = (paramObject.renameInTags === \"false\" || paramObject.renameInTags === \"no\") ? true : false;\n\toptions.dontRenameInLists = (paramObject.renameInLists === \"false\" || paramObject.renameInLists === \"no\") ? true : false;\n\tthis.wiki.renameTiddler(from,to,options);\n};\n\nexports.navigator = NavigatorWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/password.js": {
            "title": "$:/core/modules/widgets/password.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/password.js\ntype: application/javascript\nmodule-type: widget\n\nPassword widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar PasswordWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nPasswordWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nPasswordWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Get the current password\n\tvar password = $tw.browser ? $tw.utils.getPassword(this.passwordName) || \"\" : \"\";\n\t// Create our element\n\tvar domNode = this.document.createElement(\"input\");\n\tdomNode.setAttribute(\"type\",\"password\");\n\tdomNode.setAttribute(\"value\",password);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nPasswordWidget.prototype.handleChangeEvent = function(event) {\n\tvar password = this.domNodes[0].value;\n\treturn $tw.utils.savePassword(this.passwordName,password);\n};\n\n/*\nCompute the internal state of the widget\n*/\nPasswordWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.passwordName = this.getAttribute(\"name\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nPasswordWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.password = PasswordWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/qualify.js": {
            "title": "$:/core/modules/widgets/qualify.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/qualify.js\ntype: application/javascript\nmodule-type: widget\n\nQualify text to a variable \n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar QualifyWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nQualifyWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nQualifyWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nQualifyWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.qualifyName = this.getAttribute(\"name\");\n\tthis.qualifyTitle = this.getAttribute(\"title\");\n\t// Set context variable\n\tif(this.qualifyName) {\n\t\tthis.setVariable(this.qualifyName,this.qualifyTitle + \"-\" + this.getStateQualifier());\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nQualifyWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name || changedAttributes.title) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.qualify = QualifyWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/radio.js": {
            "title": "$:/core/modules/widgets/radio.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/radio.js\ntype: application/javascript\nmodule-type: widget\n\nSet a field or index at a given tiddler via radio buttons\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\nvar RadioWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRadioWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRadioWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\tvar isChecked = this.getValue() === this.radioValue;\n\t// Create our elements\n\tthis.labelDomNode = this.document.createElement(\"label\");\n\tthis.labelDomNode.setAttribute(\"class\",\n\t\t\"tc-radio \" + this.radioClass + (isChecked ? \" tc-radio-selected\" : \"\")\n\t);\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"radio\");\n\tif(isChecked) {\n\t\tthis.inputDomNode.setAttribute(\"checked\",\"true\");\n\t}\n\tif(this.isDisabled === \"yes\") {\n\t\tthis.inputDomNode.setAttribute(\"disabled\",true);\n\t}\n\tthis.labelDomNode.appendChild(this.inputDomNode);\n\tthis.spanDomNode = this.document.createElement(\"span\");\n\tthis.labelDomNode.appendChild(this.spanDomNode);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.labelDomNode,nextSibling);\n\tthis.renderChildren(this.spanDomNode,null);\n\tthis.domNodes.push(this.labelDomNode);\n};\n\nRadioWidget.prototype.getValue = function() {\n\tvar value,\n\t\ttiddler = this.wiki.getTiddler(this.radioTitle);\n\tif (this.radioIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.radioTitle,this.radioIndex);\n\t} else {\n\t\tvalue = tiddler && tiddler.getFieldString(this.radioField);\n\t}\n\treturn value;\n};\n\nRadioWidget.prototype.setValue = function() {\n\tif(this.radioIndex) {\n\t\tthis.wiki.setText(this.radioTitle,\"\",this.radioIndex,this.radioValue);\n\t} else {\n\t\tvar tiddler = this.wiki.getTiddler(this.radioTitle),\n\t\t\taddition = {};\n\t\taddition[this.radioField] = this.radioValue;\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),{title: this.radioTitle},tiddler,addition,this.wiki.getModificationFields()));\n\t}\n};\n\nRadioWidget.prototype.handleChangeEvent = function(event) {\n\tif(this.inputDomNode.checked) {\n\t\tthis.setValue();\n\t}\n\t// Trigger actions\n\tif(this.radioActions) {\n\t\tthis.invokeActionString(this.radioActions,this,event,{\"actionValue\": this.radioValue});\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nRadioWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.radioTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.radioField = this.getAttribute(\"field\",\"text\");\n\tthis.radioIndex = this.getAttribute(\"index\");\n\tthis.radioValue = this.getAttribute(\"value\");\n\tthis.radioClass = this.getAttribute(\"class\",\"\");\n\tthis.isDisabled = this.getAttribute(\"disabled\",\"no\");\n\tthis.radioActions = this.getAttribute(\"actions\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRadioWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(($tw.utils.count(changedAttributes) > 0) || changedTiddlers[this.radioTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.radio = RadioWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/range.js": {
            "title": "$:/core/modules/widgets/range.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/range.js\ntype: application/javascript\nmodule-type: widget\n\nRange widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RangeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRangeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRangeWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our elements\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"range\");\n\tthis.inputDomNode.setAttribute(\"class\",this.elementClass);\n\tif(this.minValue){\n\t\tthis.inputDomNode.setAttribute(\"min\", this.minValue);\n\t}\n\tif(this.maxValue){\n\t\tthis.inputDomNode.setAttribute(\"max\", this.maxValue);\n\t}\n\tif(this.increment){\n\t\tthis.inputDomNode.setAttribute(\"step\", this.increment);\n\t}\n\tif(this.isDisabled === \"yes\") {\n\t\tthis.inputDomNode.setAttribute(\"disabled\",true);\n\t}\n\tthis.inputDomNode.value = this.getValue();\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name:\"mousedown\", handlerObject:this, handlerMethod:\"handleMouseDownEvent\"},\n\t\t{name:\"mouseup\",   handlerObject:this, handlerMethod:\"handleMouseUpEvent\"},\n\t\t{name:\"change\",    handlerObject:this, handlerMethod:\"handleChangeEvent\"},\n\t\t{name:\"input\",     handlerObject:this, handlerMethod:\"handleInputEvent\"},\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.inputDomNode,nextSibling);\n\tthis.domNodes.push(this.inputDomNode);\n};\n\nRangeWidget.prototype.getValue = function() {\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle),\n\t\tfieldName = this.tiddlerField,\n\t\tvalue = this.defaultValue;\n\tif(tiddler) {\n\t\tif(this.tiddlerIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(tiddler,this.tiddlerIndex,this.defaultValue);\n\t\t} else {\n\t\t\tif($tw.utils.hop(tiddler.fields,fieldName)) {\n\t\t\t\tvalue = tiddler.fields[fieldName] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = this.defaultValue;\n\t\t\t}\n\t\t}\n\t}\n\treturn value;\n};\n\nRangeWidget.prototype.getActionVariables = function(options) {\n\toptions = options || {};\n\tvar hasChanged = (this.startValue !== this.inputDomNode.value) ? \"yes\" : \"no\";\n\t// Trigger actions. Use variables = {key:value, key:value ...}\n\t// the \"value\" is needed.\n\treturn $tw.utils.extend({\"actionValue\": this.inputDomNode.value, \"actionValueHasChanged\": hasChanged}, options);\n}\n\n// actionsStart\nRangeWidget.prototype.handleMouseDownEvent = function(event) {\n\tthis.mouseDown = true; // TODO remove once IE is gone.\n\tthis.startValue = this.inputDomNode.value; // TODO remove this line once IE is gone!\n\tthis.handleEvent(event);\n\t// Trigger actions\n\tif(this.actionsMouseDown) {\n\t\tvar variables = this.getActionVariables() // TODO this line will go into the function call below.\n\t\tthis.invokeActionString(this.actionsMouseDown,this,event,variables);\n\t}\n}\n\n// actionsStop\nRangeWidget.prototype.handleMouseUpEvent = function(event) {\n\tthis.mouseDown = false; // TODO remove once IE is gone.\n\tthis.handleEvent(event);\n\t// Trigger actions\n\tif(this.actionsMouseUp) {\n\t\tvar variables = this.getActionVariables()\n\t\tthis.invokeActionString(this.actionsMouseUp,this,event,variables);\n\t}\n\t// TODO remove the following if() once IE is gone!\n\tif ($tw.browser.isIE) {\n\t\tif (this.startValue !== this.inputDomNode.value) {\n\t\t\tthis.handleChangeEvent(event);\n\t\t\tthis.startValue = this.inputDomNode.value;\n\t\t}\n\t}\n}\n\nRangeWidget.prototype.handleChangeEvent = function(event) {\n\tif (this.mouseDown) {  // TODO refactor this function once IE is gone.\n\t\tthis.handleInputEvent(event);\n\t}\n};\n\nRangeWidget.prototype.handleInputEvent = function(event) {\n\tthis.handleEvent(event);\n\t// Trigger actions\n\tif(this.actionsInput) {\n\t\t// \"tiddler\" parameter may be missing. See .execute() below\n\t\tvar variables = this.getActionVariables({\"actionValueHasChanged\": \"yes\"}) // TODO this line will go into the function call below.\n\t\tthis.invokeActionString(this.actionsInput,this,event,variables);\n\t}\n};\n\nRangeWidget.prototype.handleEvent = function(event) {\n\tif(this.getValue() !== this.inputDomNode.value) {\n\t\tif(this.tiddlerIndex) {\n\t\t\tthis.wiki.setText(this.tiddlerTitle,\"\",this.tiddlerIndex,this.inputDomNode.value);\n\t\t} else {\n\t\t\tthis.wiki.setText(this.tiddlerTitle,this.tiddlerField,null,this.inputDomNode.value);\n\t\t}\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nRangeWidget.prototype.execute = function() {\n\t// TODO remove the next 1 lines once IE is gone!\n\tthis.mouseUp = true; // Needed for IE10\n\t// Get the parameters from the attributes\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.tiddlerField = this.getAttribute(\"field\",\"text\");\n\tthis.tiddlerIndex = this.getAttribute(\"index\");\n\tthis.minValue = this.getAttribute(\"min\");\n\tthis.maxValue = this.getAttribute(\"max\");\n\tthis.increment = this.getAttribute(\"increment\");\n\tthis.defaultValue = this.getAttribute(\"default\",\"\");\n\tthis.elementClass = this.getAttribute(\"class\",\"\");\n\tthis.isDisabled = this.getAttribute(\"disabled\",\"no\");\n\t// Actions since 5.1.23\n\t// Next 2 only fire once!\n\tthis.actionsMouseDown = this.getAttribute(\"actionsStart\",\"\");\n\tthis.actionsMouseUp = this.getAttribute(\"actionsStop\",\"\");\n\t// Input fires very often!\n\tthis.actionsInput = this.getAttribute(\"actions\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRangeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.tiddlerTitle]) {\n\t\t\tvar value = this.getValue();\n\t\t\tif(this.inputDomNode.value !== value) {\n\t\t\t\tthis.inputDomNode.value = value;\n\t\t\t}\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.range = RangeWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/raw.js": {
            "title": "$:/core/modules/widgets/raw.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/raw.js\ntype: application/javascript\nmodule-type: widget\n\nRaw widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RawWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRawWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRawWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tvar div = this.document.createElement(\"div\");\n\tdiv.innerHTML=this.parseTreeNode.html;\n\tparent.insertBefore(div,nextSibling);\n\tthis.domNodes.push(div);\t\n};\n\n/*\nCompute the internal state of the widget\n*/\nRawWidget.prototype.execute = function() {\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRawWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.raw = RawWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/reveal.js": {
            "title": "$:/core/modules/widgets/reveal.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/reveal.js\ntype: application/javascript\nmodule-type: widget\n\nReveal widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RevealWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRevealWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRevealWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.revealTag && $tw.config.htmlUnsafeElements.indexOf(this.revealTag) === -1) {\n\t\ttag = this.revealTag;\n\t}\n\tvar domNode = this.document.createElement(tag);\n\tthis.domNode = domNode;\n\tthis.assignDomNodeClasses();\n\tif(this.style) {\n\t\tdomNode.setAttribute(\"style\",this.style);\n\t}\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tif(!domNode.isTiddlyWikiFakeDom && this.type === \"popup\" && this.isOpen) {\n\t\tthis.positionPopup(domNode);\n\t\t$tw.utils.addClass(domNode,\"tc-popup\"); // Make sure that clicks don't dismiss popups within the revealed content\n\t}\n\tif(!this.isOpen) {\n\t\tdomNode.setAttribute(\"hidden\",\"true\");\n\t}\n\tthis.domNodes.push(domNode);\n};\n\nRevealWidget.prototype.positionPopup = function(domNode) {\n\tdomNode.style.position = \"absolute\";\n\tdomNode.style.zIndex = \"1000\";\n\tvar left,top;\n\tswitch(this.position) {\n\t\tcase \"left\":\n\t\t\tleft = this.popup.left - domNode.offsetWidth;\n\t\t\ttop = this.popup.top;\n\t\t\tbreak;\n\t\tcase \"above\":\n\t\t\tleft = this.popup.left;\n\t\t\ttop = this.popup.top - domNode.offsetHeight;\n\t\t\tbreak;\n\t\tcase \"aboveright\":\n\t\t\tleft = this.popup.left + this.popup.width;\n\t\t\ttop = this.popup.top + this.popup.height - domNode.offsetHeight;\n\t\t\tbreak;\n\t\tcase \"belowright\":\n\t\t\tleft = this.popup.left + this.popup.width;\n\t\t\ttop = this.popup.top + this.popup.height;\n\t\t\tbreak;\t\t\t\n\t\tcase \"right\":\n\t\t\tleft = this.popup.left + this.popup.width;\n\t\t\ttop = this.popup.top;\n\t\t\tbreak;\n\t\tcase \"belowleft\":\n\t\t\tleft = this.popup.left + this.popup.width - domNode.offsetWidth;\n\t\t\ttop = this.popup.top + this.popup.height;\n\t\t\tbreak;\n\t\tcase \"aboveleft\":\n\t\t\tleft = this.popup.left - domNode.offsetWidth;\n\t\t\ttop = this.popup.top - domNode.offsetHeight;\n\t\t\tbreak;\t\t\t\n\t\tdefault: // Below\n\t\t\tleft = this.popup.left;\n\t\t\ttop = this.popup.top + this.popup.height;\n\t\t\tbreak;\n\t}\n\tif(!this.positionAllowNegative) {\n\t\tleft = Math.max(0,left);\n\t\ttop = Math.max(0,top);\n\t}\n\tdomNode.style.left = left + \"px\";\n\tdomNode.style.top = top + \"px\";\n};\n\n/*\nCompute the internal state of the widget\n*/\nRevealWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.state = this.getAttribute(\"state\");\n\tthis.revealTag = this.getAttribute(\"tag\");\n\tthis.type = this.getAttribute(\"type\");\n\tthis.text = this.getAttribute(\"text\");\n\tthis.position = this.getAttribute(\"position\");\n\tthis.positionAllowNegative = this.getAttribute(\"positionAllowNegative\") === \"yes\";\n\t// class attribute handled in assignDomNodeClasses()\n\tthis.style = this.getAttribute(\"style\",\"\");\n\tthis[\"default\"] = this.getAttribute(\"default\",\"\");\n\tthis.animate = this.getAttribute(\"animate\",\"no\");\n\tthis.retain = this.getAttribute(\"retain\",\"no\");\n\tthis.openAnimation = this.animate === \"no\" ? undefined : \"open\";\n\tthis.closeAnimation = this.animate === \"no\" ? undefined : \"close\";\n\tthis.updatePopupPosition = this.getAttribute(\"updatePopupPosition\",\"no\") === \"yes\";\n\t// Compute the title of the state tiddler and read it\n\tthis.stateTiddlerTitle = this.state;\n\tthis.stateTitle = this.getAttribute(\"stateTitle\");\n\tthis.stateField = this.getAttribute(\"stateField\");\n\tthis.stateIndex = this.getAttribute(\"stateIndex\");\n\tthis.readState();\n\t// Construct the child widgets\n\tvar childNodes = this.isOpen ? this.parseTreeNode.children : [];\n\tthis.hasChildNodes = this.isOpen;\n\tthis.makeChildWidgets(childNodes);\n};\n\n/*\nRead the state tiddler\n*/\nRevealWidget.prototype.readState = function() {\n\t// Read the information from the state tiddler\n\tvar state,\n\t    defaultState = this[\"default\"];\n\tif(this.stateTitle) {\n\t\tvar stateTitleTiddler = this.wiki.getTiddler(this.stateTitle);\n\t\tif(this.stateField) {\n\t\t\tstate = stateTitleTiddler ? stateTitleTiddler.getFieldString(this.stateField) || defaultState : defaultState;\n\t\t} else if(this.stateIndex) {\n\t\t\tstate = stateTitleTiddler ? this.wiki.extractTiddlerDataItem(this.stateTitle,this.stateIndex) || defaultState : defaultState;\n\t\t} else if(stateTitleTiddler) {\n\t\t\tstate = this.wiki.getTiddlerText(this.stateTitle) || defaultState;\n\t\t} else {\n\t\t\tstate = defaultState;\n\t\t}\n\t} else {\n\t\tstate = this.stateTiddlerTitle ? this.wiki.getTextReference(this.state,this[\"default\"],this.getVariable(\"currentTiddler\")) : this[\"default\"];\n\t}\n\tif(state === null) {\n\t\tstate = this[\"default\"];\n\t}\n\tswitch(this.type) {\n\t\tcase \"popup\":\n\t\t\tthis.readPopupState(state);\n\t\t\tbreak;\n\t\tcase \"match\":\n\t\t\tthis.isOpen = this.text === state;\n\t\t\tbreak;\n\t\tcase \"nomatch\":\n\t\t\tthis.isOpen = this.text !== state;\n\t\t\tbreak;\n\t\tcase \"lt\":\n\t\t\tthis.isOpen = !!(this.compareStateText(state) < 0);\n\t\t\tbreak;\n\t\tcase \"gt\":\n\t\t\tthis.isOpen = !!(this.compareStateText(state) > 0);\n\t\t\tbreak;\n\t\tcase \"lteq\":\n\t\t\tthis.isOpen = !(this.compareStateText(state) > 0);\n\t\t\tbreak;\n\t\tcase \"gteq\":\n\t\t\tthis.isOpen = !(this.compareStateText(state) < 0);\n\t\t\tbreak;\n\t}\n};\n\nRevealWidget.prototype.compareStateText = function(state) {\n\treturn state.localeCompare(this.text,undefined,{numeric: true,sensitivity: \"case\"});\n};\n\nRevealWidget.prototype.readPopupState = function(state) {\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/,\n\t\tmatch = popupLocationRegExp.exec(state);\n\t// Check if the state matches the location regexp\n\tif(match) {\n\t\t// If so, we're open\n\t\tthis.isOpen = true;\n\t\t// Get the location\n\t\tthis.popup = {\n\t\t\tleft: parseFloat(match[1]),\n\t\t\ttop: parseFloat(match[2]),\n\t\t\twidth: parseFloat(match[3]),\n\t\t\theight: parseFloat(match[4])\n\t\t};\n\t} else {\n\t\t// If not, we're closed\n\t\tthis.isOpen = false;\n\t}\n};\n\nRevealWidget.prototype.assignDomNodeClasses = function() {\n\tvar classes = this.getAttribute(\"class\",\"\").split(\" \");\n\tclasses.push(\"tc-reveal\");\n\tthis.domNode.className = classes.join(\" \");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRevealWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.state || changedAttributes.type || changedAttributes.text || changedAttributes.position || changedAttributes.positionAllowNegative || changedAttributes[\"default\"] || changedAttributes.animate || changedAttributes.stateTitle || changedAttributes.stateField || changedAttributes.stateIndex) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar currentlyOpen = this.isOpen;\n\t\tthis.readState();\n\t\tif(this.isOpen !== currentlyOpen) {\n\t\t\tif(this.retain === \"yes\") {\n\t\t\t\tthis.updateState();\n\t\t\t} else {\n\t\t\t\tthis.refreshSelf();\n\t\t\t\treturn true;\n\t\t\t}\n\t\t} else if(this.type === \"popup\" && this.updatePopupPosition && (changedTiddlers[this.state] || changedTiddlers[this.stateTitle])) {\n\t\t\tthis.positionPopup(this.domNode);\n\t\t}\n\t\tif(changedAttributes.style) {\n\t\t\tthis.domNode.style = this.getAttribute(\"style\",\"\");\n\t\t}\n\t\tif(changedAttributes[\"class\"]) {\n\t\t\tthis.assignDomNodeClasses();\n\t\t}\t\t\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\n/*\nCalled by refresh() to dynamically show or hide the content\n*/\nRevealWidget.prototype.updateState = function() {\n\tvar self = this;\n\t// Read the current state\n\tthis.readState();\n\t// Construct the child nodes if needed\n\tvar domNode = this.domNodes[0];\n\tif(this.isOpen && !this.hasChildNodes) {\n\t\tthis.hasChildNodes = true;\n\t\tthis.makeChildWidgets(this.parseTreeNode.children);\n\t\tthis.renderChildren(domNode,null);\n\t}\n\t// Animate our DOM node\n\tif(!domNode.isTiddlyWikiFakeDom && this.type === \"popup\" && this.isOpen) {\n\t\tthis.positionPopup(domNode);\n\t\t$tw.utils.addClass(domNode,\"tc-popup\"); // Make sure that clicks don't dismiss popups within the revealed content\n\n\t}\n\tif(this.isOpen) {\n\t\tdomNode.removeAttribute(\"hidden\");\n        $tw.anim.perform(this.openAnimation,domNode);\n\t} else {\n\t\t$tw.anim.perform(this.closeAnimation,domNode,{callback: function() {\n\t\t\t//make sure that the state hasn't changed during the close animation\n\t\t\tself.readState()\n\t\t\tif(!self.isOpen) {\n\t\t\t\tdomNode.setAttribute(\"hidden\",\"true\");\n\t\t\t}\n\t\t}});\n\t}\n};\n\nexports.reveal = RevealWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/scrollable.js": {
            "title": "$:/core/modules/widgets/scrollable.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/scrollable.js\ntype: application/javascript\nmodule-type: widget\n\nScrollable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ScrollableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.scaleFactor = 1;\n\tthis.addEventListeners([\n\t\t{type: \"tm-scroll\", handler: \"handleScrollEvent\"}\n\t]);\n\tif($tw.browser) {\n\t\tthis.requestAnimationFrame = window.requestAnimationFrame ||\n\t\t\twindow.webkitRequestAnimationFrame ||\n\t\t\twindow.mozRequestAnimationFrame ||\n\t\t\tfunction(callback) {\n\t\t\t\treturn window.setTimeout(callback, 1000/60);\n\t\t\t};\n\t\tthis.cancelAnimationFrame = window.cancelAnimationFrame ||\n\t\t\twindow.webkitCancelAnimationFrame ||\n\t\t\twindow.webkitCancelRequestAnimationFrame ||\n\t\t\twindow.mozCancelAnimationFrame ||\n\t\t\twindow.mozCancelRequestAnimationFrame ||\n\t\t\tfunction(id) {\n\t\t\t\twindow.clearTimeout(id);\n\t\t\t};\n\t}\n};\n\n/*\nInherit from the base widget class\n*/\nScrollableWidget.prototype = new Widget();\n\nScrollableWidget.prototype.cancelScroll = function() {\n\tif(this.idRequestFrame) {\n\t\tthis.cancelAnimationFrame.call(window,this.idRequestFrame);\n\t\tthis.idRequestFrame = null;\n\t}\n};\n\n/*\nHandle a scroll event\n*/\nScrollableWidget.prototype.handleScrollEvent = function(event) {\n\t// Pass the scroll event through if our offsetsize is larger than our scrollsize\n\tif(this.outerDomNode.scrollWidth <= this.outerDomNode.offsetWidth && this.outerDomNode.scrollHeight <= this.outerDomNode.offsetHeight && this.fallthrough === \"yes\") {\n\t\treturn true;\n\t}\n\tif(event.paramObject && event.paramObject.selector) {\n\t\tthis.scrollSelectorIntoView(null,event.paramObject.selector);\n\t} else {\n\t\tthis.scrollIntoView(event.target);\t\t\t\n\t}\n\treturn false; // Handled event\n};\n\n/*\nScroll an element into view\n*/\nScrollableWidget.prototype.scrollIntoView = function(element) {\n\tvar duration = $tw.utils.getAnimationDuration(),\n\tsrcWindow = element ? element.ownerDocument.defaultView : window;\n\tthis.cancelScroll();\n\tthis.startTime = Date.now();\n\tvar scrollPosition = {\n\t\tx: this.outerDomNode.scrollLeft,\n\t\ty: this.outerDomNode.scrollTop\n\t};\n\t// Get the client bounds of the element and adjust by the scroll position\n\tvar scrollableBounds = this.outerDomNode.getBoundingClientRect(),\n\t\tclientTargetBounds = element.getBoundingClientRect(),\n\t\tbounds = {\n\t\t\tleft: clientTargetBounds.left + scrollPosition.x - scrollableBounds.left,\n\t\t\ttop: clientTargetBounds.top + scrollPosition.y - scrollableBounds.top,\n\t\t\twidth: clientTargetBounds.width,\n\t\t\theight: clientTargetBounds.height\n\t\t};\n\t// We'll consider the horizontal and vertical scroll directions separately via this function\n\tvar getEndPos = function(targetPos,targetSize,currentPos,currentSize) {\n\t\t\t// If the target is already visible then stay where we are\n\t\t\tif(targetPos >= currentPos && (targetPos + targetSize) <= (currentPos + currentSize)) {\n\t\t\t\treturn currentPos;\n\t\t\t// If the target is above/left of the current view, then scroll to its top/left\n\t\t\t} else if(targetPos <= currentPos) {\n\t\t\t\treturn targetPos;\n\t\t\t// If the target is smaller than the window and the scroll position is too far up, then scroll till the target is at the bottom of the window\n\t\t\t} else if(targetSize < currentSize && currentPos < (targetPos + targetSize - currentSize)) {\n\t\t\t\treturn targetPos + targetSize - currentSize;\n\t\t\t// If the target is big, then just scroll to the top\n\t\t\t} else if(currentPos < targetPos) {\n\t\t\t\treturn targetPos;\n\t\t\t// Otherwise, stay where we are\n\t\t\t} else {\n\t\t\t\treturn currentPos;\n\t\t\t}\n\t\t},\n\t\tendX = getEndPos(bounds.left,bounds.width,scrollPosition.x,this.outerDomNode.offsetWidth),\n\t\tendY = getEndPos(bounds.top,bounds.height,scrollPosition.y,this.outerDomNode.offsetHeight);\n\t// Only scroll if necessary\n\tif(endX !== scrollPosition.x || endY !== scrollPosition.y) {\n\t\tvar self = this,\n\t\t\tdrawFrame;\n\t\tdrawFrame = function () {\n\t\t\tvar t;\n\t\t\tif(duration <= 0) {\n\t\t\t\tt = 1;\n\t\t\t} else {\n\t\t\t\tt = ((Date.now()) - self.startTime) / duration;\t\n\t\t\t}\n\t\t\tif(t >= 1) {\n\t\t\t\tself.cancelScroll();\n\t\t\t\tt = 1;\n\t\t\t}\n\t\t\tt = $tw.utils.slowInSlowOut(t);\n\t\t\tself.outerDomNode.scrollLeft = scrollPosition.x + (endX - scrollPosition.x) * t;\n\t\t\tself.outerDomNode.scrollTop = scrollPosition.y + (endY - scrollPosition.y) * t;\n\t\t\tif(t < 1) {\n\t\t\t\tself.idRequestFrame = self.requestAnimationFrame.call(srcWindow,drawFrame);\n\t\t\t}\n\t\t};\n\t\tdrawFrame();\n\t}\n};\n\nScrollableWidget.prototype.scrollSelectorIntoView = function(baseElement,selector,callback) {\n\tbaseElement = baseElement || document.body;\n\tvar element = baseElement.querySelector(selector);\n\tif(element) {\n\t\tthis.scrollIntoView(element,callback);\t\t\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nScrollableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create elements\n\tthis.outerDomNode = this.document.createElement(\"div\");\n\t$tw.utils.setStyle(this.outerDomNode,[\n\t\t{overflowY: \"auto\"},\n\t\t{overflowX: \"auto\"},\n\t\t{webkitOverflowScrolling: \"touch\"}\n\t]);\n\tthis.innerDomNode = this.document.createElement(\"div\");\n\tthis.outerDomNode.appendChild(this.innerDomNode);\n\t// Assign classes\n\tthis.outerDomNode.className = this[\"class\"] || \"\";\n\t// Insert element\n\tparent.insertBefore(this.outerDomNode,nextSibling);\n\tthis.renderChildren(this.innerDomNode,null);\n\tthis.domNodes.push(this.outerDomNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nScrollableWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.fallthrough = this.getAttribute(\"fallthrough\",\"yes\");\n\tthis[\"class\"] = this.getAttribute(\"class\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nScrollableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.scrollable = ScrollableWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/select.js": {
            "title": "$:/core/modules/widgets/select.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/select.js\ntype: application/javascript\nmodule-type: widget\n\nSelect widget:\n\n```\n<$select tiddler=\"MyTiddler\" field=\"text\">\n<$list filter=\"[tag[chapter]]\">\n<option value=<<currentTiddler>>>\n<$view field=\"description\"/>\n</option>\n</$list>\n</$select>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SelectWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSelectWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSelectWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n\tthis.setSelectValue();\n\t$tw.utils.addEventListeners(this.getSelectDomNode(),[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n};\n\n/*\nHandle a change event\n*/\nSelectWidget.prototype.handleChangeEvent = function(event) {\n\t// Get the new value and assign it to the tiddler\n\tif(this.selectMultiple == false) {\n\t\tvar value = this.getSelectDomNode().value;\n\t} else {\n\t\tvar value = this.getSelectValues()\n\t\t\t\tvalue = $tw.utils.stringifyList(value);\n\t}\n\tthis.wiki.setText(this.selectTitle,this.selectField,this.selectIndex,value);\n\t// Trigger actions\n\tif(this.selectActions) {\n\t\tthis.invokeActionString(this.selectActions,this,event);\n\t}\n};\n\n/*\nIf necessary, set the value of the select element to the current value\n*/\nSelectWidget.prototype.setSelectValue = function() {\n\tvar value = this.selectDefault;\n\t// Get the value\n\tif(this.selectIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.selectTitle,this.selectIndex,value);\n\t} else {\n\t\tvar tiddler = this.wiki.getTiddler(this.selectTitle);\n\t\tif(tiddler) {\n\t\t\tif(this.selectField === \"text\") {\n\t\t\t\t// Calling getTiddlerText() triggers lazy loading of skinny tiddlers\n\t\t\t\tvalue = this.wiki.getTiddlerText(this.selectTitle);\n\t\t\t} else {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.selectField)) {\n\t\t\t\t\tvalue = tiddler.getFieldString(this.selectField);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tif(this.selectField === \"title\") {\n\t\t\t\tvalue = this.selectTitle;\n\t\t\t}\n\t\t}\n\t}\n\t// Assign it to the select element if it's different than the current value\n\tif (this.selectMultiple) {\n\t\tvalue = value === undefined ? \"\" : value;\n\t\tvar select = this.getSelectDomNode();\n\t\tvar values = Array.isArray(value) ? value : $tw.utils.parseStringArray(value);\n\t\tfor(var i=0; i < select.children.length; i++){\n\t\t\tselect.children[i].selected = values.indexOf(select.children[i].value) !== -1\n\t\t}\n\t} else {\n\t\tvar domNode = this.getSelectDomNode();\n\t\tif(domNode.value !== value) {\n\t\t\tdomNode.value = value;\n\t\t}\n\t}\n};\n\n/*\nGet the DOM node of the select element\n*/\nSelectWidget.prototype.getSelectDomNode = function() {\n\treturn this.children[0].domNodes[0];\n};\n\n// Return an array of the selected opion values\n// select is an HTML select element\nSelectWidget.prototype.getSelectValues = function() {\n\tvar select, result, options, opt;\n\tselect = this.getSelectDomNode();\n\tresult = [];\n\toptions = select && select.options;\n\tfor (var i=0; i<options.length; i++) {\n\t\topt = options[i];\n\t\tif (opt.selected) {\n\t\t\tresult.push(opt.value || opt.text);\n\t\t}\n\t}\n\treturn result;\n}\n\n/*\nCompute the internal state of the widget\n*/\nSelectWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.selectActions = this.getAttribute(\"actions\");\n\tthis.selectTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.selectField = this.getAttribute(\"field\",\"text\");\n\tthis.selectIndex = this.getAttribute(\"index\");\n\tthis.selectClass = this.getAttribute(\"class\");\n\tthis.selectDefault = this.getAttribute(\"default\");\n\tthis.selectMultiple = this.getAttribute(\"multiple\", false);\n\tthis.selectSize = this.getAttribute(\"size\");\n\tthis.selectTooltip = this.getAttribute(\"tooltip\");\n\t// Make the child widgets\n\tvar selectNode = {\n\t\ttype: \"element\",\n\t\ttag: \"select\",\n\t\tchildren: this.parseTreeNode.children\n\t};\n\tif(this.selectClass) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"class\",this.selectClass);\n\t}\n\tif(this.selectMultiple) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"multiple\",\"multiple\");\n\t}\n\tif(this.selectSize) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"size\",this.selectSize);\n\t}\n\tif(this.selectTooltip) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"title\",this.selectTooltip);\n\t}\n\tthis.makeChildWidgets([selectNode]);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nSelectWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// If we're using a different tiddler/field/index then completely refresh ourselves\n\tif(changedAttributes.selectTitle || changedAttributes.selectField || changedAttributes.selectIndex || changedAttributes.selectTooltip) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t// If the target tiddler value has changed, just update setting and refresh the children\n\t} else {\n\t\tvar childrenRefreshed = this.refreshChildren(changedTiddlers);\n\t\tif(changedTiddlers[this.selectTitle] || childrenRefreshed) {\n\t\t\tthis.setSelectValue();\n\t\t} \n\t\treturn childrenRefreshed;\n\t}\n};\n\nexports.select = SelectWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/set.js": {
            "title": "$:/core/modules/widgets/set.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/set.js\ntype: application/javascript\nmodule-type: widget\n\nSet variable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.setName = this.getAttribute(\"name\",\"currentTiddler\");\n\tthis.setFilter = this.getAttribute(\"filter\");\n\tthis.setSelect = this.getAttribute(\"select\");\n\tthis.setTiddler = this.getAttribute(\"tiddler\");\n\tthis.setSubTiddler = this.getAttribute(\"subtiddler\");\n\tthis.setField = this.getAttribute(\"field\");\n\tthis.setIndex = this.getAttribute(\"index\");\n\tthis.setValue = this.getAttribute(\"value\");\n\tthis.setEmptyValue = this.getAttribute(\"emptyValue\");\n\t// Set context variable\n\tthis.setVariable(this.setName,this.getValue(),this.parseTreeNode.params,!!this.parseTreeNode.isMacroDefinition);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nGet the value to be assigned\n*/\nSetWidget.prototype.getValue = function() {\n\tvar value = this.setValue;\n\tif(this.setTiddler) {\n\t\tvar tiddler;\n\t\tif(this.setSubTiddler) {\n\t\t\ttiddler = this.wiki.getSubTiddler(this.setTiddler,this.setSubTiddler);\n\t\t} else {\n\t\t\ttiddler = this.wiki.getTiddler(this.setTiddler);\t\t\t\n\t\t}\n\t\tif(!tiddler) {\n\t\t\tvalue = this.setEmptyValue;\n\t\t} else if(this.setField) {\n\t\t\tvalue = tiddler.getFieldString(this.setField) || this.setEmptyValue;\n\t\t} else if(this.setIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(this.setTiddler,this.setIndex,this.setEmptyValue);\n\t\t} else {\n\t\t\tvalue = tiddler.fields.text || this.setEmptyValue ;\n\t\t}\n\t} else if(this.setFilter) {\n\t\tvar results = this.wiki.filterTiddlers(this.setFilter,this);\n\t\tif(this.setValue == null) {\n\t\t\tvar select;\n\t\t\tif(this.setSelect) {\n\t\t\t\tselect = parseInt(this.setSelect,10);\n\t\t\t}\n\t\t\tif(select !== undefined) {\n\t\t\t\tvalue = results[select] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = $tw.utils.stringifyList(results);\t\t\t\n\t\t\t}\n\t\t}\n\t\tif(results.length === 0 && this.setEmptyValue !== undefined) {\n\t\t\tvalue = this.setEmptyValue;\n\t\t}\n\t} else if(!value && this.setEmptyValue) {\n\t\tvalue = this.setEmptyValue;\n\t}\n\treturn value || \"\";\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nSetWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name || changedAttributes.filter || changedAttributes.select || changedAttributes.tiddler || (this.setTiddler && changedTiddlers[this.setTiddler]) || changedAttributes.field || changedAttributes.index || changedAttributes.value || changedAttributes.emptyValue ||\n\t   (this.setFilter && this.getValue() != this.variables[this.setName].value)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.setvariable = SetWidget;\nexports.set = SetWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/text.js": {
            "title": "$:/core/modules/widgets/text.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/text.js\ntype: application/javascript\nmodule-type: widget\n\nText node widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TextNodeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTextNodeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTextNodeWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar text = this.getAttribute(\"text\",this.parseTreeNode.text || \"\");\n\ttext = text.replace(/\\r/mg,\"\");\n\tvar textNode = this.document.createTextNode(text);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTextNodeWidget.prototype.execute = function() {\n\t// Nothing to do for a text node\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTextNodeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.text) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.text = TextNodeWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/tiddler.js": {
            "title": "$:/core/modules/widgets/tiddler.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/tiddler.js\ntype: application/javascript\nmodule-type: widget\n\nTiddler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTiddlerWidget.prototype.execute = function() {\n\tthis.tiddlerState = this.computeTiddlerState();\n\tthis.setVariable(\"currentTiddler\",this.tiddlerState.currentTiddler);\n\tthis.setVariable(\"missingTiddlerClass\",this.tiddlerState.missingTiddlerClass);\n\tthis.setVariable(\"shadowTiddlerClass\",this.tiddlerState.shadowTiddlerClass);\n\tthis.setVariable(\"systemTiddlerClass\",this.tiddlerState.systemTiddlerClass);\n\tthis.setVariable(\"tiddlerTagClasses\",this.tiddlerState.tiddlerTagClasses);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nCompute the tiddler state flags\n*/\nTiddlerWidget.prototype.computeTiddlerState = function() {\n\t// Get our parameters\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Compute the state\n\tvar state = {\n\t\tcurrentTiddler: this.tiddlerTitle || \"\",\n\t\tmissingTiddlerClass: (this.wiki.tiddlerExists(this.tiddlerTitle) || this.wiki.isShadowTiddler(this.tiddlerTitle)) ? \"tc-tiddler-exists\" : \"tc-tiddler-missing\",\n\t\tshadowTiddlerClass: this.wiki.isShadowTiddler(this.tiddlerTitle) ? \"tc-tiddler-shadow\" : \"\",\n\t\tsystemTiddlerClass: this.wiki.isSystemTiddler(this.tiddlerTitle) ? \"tc-tiddler-system\" : \"\",\n\t\ttiddlerTagClasses: this.getTagClasses()\n\t};\n\t// Compute a simple hash to make it easier to detect changes\n\tstate.hash = state.currentTiddler + state.missingTiddlerClass + state.shadowTiddlerClass + state.systemTiddlerClass + state.tiddlerTagClasses;\n\treturn state;\n};\n\n/*\nCreate a string of CSS classes derived from the tags of the current tiddler\n*/\nTiddlerWidget.prototype.getTagClasses = function() {\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle);\n\tif(tiddler) {\n\t\tvar tags = [];\n\t\t$tw.utils.each(tiddler.fields.tags,function(tag) {\n\t\t\ttags.push(\"tc-tagged-\" + encodeURIComponent(tag));\n\t\t});\n\t\treturn tags.join(\" \");\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tnewTiddlerState = this.computeTiddlerState();\n\tif(changedAttributes.tiddler || newTiddlerState.hash !== this.tiddlerState.hash) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.tiddler = TiddlerWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/transclude.js": {
            "title": "$:/core/modules/widgets/transclude.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/transclude.js\ntype: application/javascript\nmodule-type: widget\n\nTransclude widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TranscludeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTranscludeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTranscludeWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTranscludeWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.transcludeTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.transcludeSubTiddler = this.getAttribute(\"subtiddler\");\n\tthis.transcludeField = this.getAttribute(\"field\");\n\tthis.transcludeIndex = this.getAttribute(\"index\");\n\tthis.transcludeMode = this.getAttribute(\"mode\");\n\tthis.recursionMarker = this.getAttribute(\"recursionMarker\",\"yes\");\n\t// Parse the text reference\n\tvar parseAsInline = !this.parseTreeNode.isBlock;\n\tif(this.transcludeMode === \"inline\") {\n\t\tparseAsInline = true;\n\t} else if(this.transcludeMode === \"block\") {\n\t\tparseAsInline = false;\n\t}\n\tvar parser = this.wiki.parseTextReference(\n\t\t\t\t\t\tthis.transcludeTitle,\n\t\t\t\t\t\tthis.transcludeField,\n\t\t\t\t\t\tthis.transcludeIndex,\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tparseAsInline: parseAsInline,\n\t\t\t\t\t\t\tsubTiddler: this.transcludeSubTiddler\n\t\t\t\t\t\t}),\n\t\tparseTreeNodes = parser ? parser.tree : this.parseTreeNode.children;\n\t// Set context variables for recursion detection\n\tvar recursionMarker = this.makeRecursionMarker();\n\tif(this.recursionMarker === \"yes\") {\n\t\tthis.setVariable(\"transclusion\",recursionMarker);\n\t}\n\t// Check for recursion\n\tif(parser) {\n\t\tif(this.parentWidget && this.parentWidget.hasVariable(\"transclusion\",recursionMarker)) {\n\t\t\tparseTreeNodes = [{type: \"element\", tag: \"span\", attributes: {\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-error\"}\n\t\t\t}, children: [\n\t\t\t\t{type: \"text\", text: $tw.language.getString(\"Error/RecursiveTransclusion\")}\n\t\t\t]}];\n\t\t}\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nCompose a string comprising the title, field and/or index to identify this transclusion for recursion detection\n*/\nTranscludeWidget.prototype.makeRecursionMarker = function() {\n\tvar output = [];\n\toutput.push(\"{\");\n\toutput.push(this.getVariable(\"currentTiddler\",{defaultValue: \"\"}));\n\toutput.push(\"|\");\n\toutput.push(this.transcludeTitle || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeField || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeIndex || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeSubTiddler || \"\");\n\toutput.push(\"}\");\n\treturn output.join(\"\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTranscludeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedTiddlers[this.transcludeTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.transclude = TranscludeWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/vars.js": {
            "title": "$:/core/modules/widgets/vars.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/vars.js\ntype: application/javascript\nmodule-type: widget\n\nThis widget allows multiple variables to be set in one go:\n\n```\n\\define helloworld() Hello world!\n<$vars greeting=\"Hi\" me={{!!title}} sentence=<<helloworld>>>\n  <<greeting>>! I am <<me>> and I say: <<sentence>>\n</$vars>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar VarsWidget = function(parseTreeNode,options) {\n\t// Call the constructor\n\tWidget.call(this);\n\t// Initialise\t\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nVarsWidget.prototype = Object.create(Widget.prototype);\n\n/*\nRender this widget into the DOM\n*/\nVarsWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nVarsWidget.prototype.execute = function() {\n\t// Parse variables\n\tvar self = this;\n\t$tw.utils.each(this.attributes,function(val,key) {\n\t\tif(key.charAt(0) !== \"$\") {\n\t\t\tself.setVariable(key,val);\n\t\t}\n\t});\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nVarsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(Object.keys(changedAttributes).length) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports[\"vars\"] = VarsWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/view.js": {
            "title": "$:/core/modules/widgets/view.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/view.js\ntype: application/javascript\nmodule-type: widget\n\nView widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ViewWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nViewWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nViewWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tif(this.text) {\n\t\tvar textNode = this.document.createTextNode(this.text);\n\t\tparent.insertBefore(textNode,nextSibling);\n\t\tthis.domNodes.push(textNode);\n\t} else {\n\t\tthis.makeChildWidgets();\n\t\tthis.renderChildren(parent,nextSibling);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nViewWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.viewTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.viewSubtiddler = this.getAttribute(\"subtiddler\");\n\tthis.viewField = this.getAttribute(\"field\",\"text\");\n\tthis.viewIndex = this.getAttribute(\"index\");\n\tthis.viewFormat = this.getAttribute(\"format\",\"text\");\n\tthis.viewTemplate = this.getAttribute(\"template\",\"\");\n\tthis.viewMode = this.getAttribute(\"mode\",\"block\");\n\tswitch(this.viewFormat) {\n\t\tcase \"htmlwikified\":\n\t\t\tthis.text = this.getValueAsHtmlWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"plainwikified\":\n\t\t\tthis.text = this.getValueAsPlainWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"htmlencodedplainwikified\":\n\t\t\tthis.text = this.getValueAsHtmlEncodedPlainWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"htmlencoded\":\n\t\t\tthis.text = this.getValueAsHtmlEncoded();\n\t\t\tbreak;\n\t\tcase \"urlencoded\":\n\t\t\tthis.text = this.getValueAsUrlEncoded();\n\t\t\tbreak;\n\t\tcase \"doubleurlencoded\":\n\t\t\tthis.text = this.getValueAsDoubleUrlEncoded();\n\t\t\tbreak;\n\t\tcase \"date\":\n\t\t\tthis.text = this.getValueAsDate(this.viewTemplate);\n\t\t\tbreak;\n\t\tcase \"relativedate\":\n\t\t\tthis.text = this.getValueAsRelativeDate();\n\t\t\tbreak;\n\t\tcase \"stripcomments\":\n\t\t\tthis.text = this.getValueAsStrippedComments();\n\t\t\tbreak;\n\t\tcase \"jsencoded\":\n\t\t\tthis.text = this.getValueAsJsEncoded();\n\t\t\tbreak;\n\t\tdefault: // \"text\"\n\t\t\tthis.text = this.getValueAsText();\n\t\t\tbreak;\n\t}\n};\n\n/*\nThe various formatter functions are baked into this widget for the moment. Eventually they will be replaced by macro functions\n*/\n\n/*\nRetrieve the value of the widget. Options are:\nasString: Optionally return the value as a string\n*/\nViewWidget.prototype.getValue = function(options) {\n\toptions = options || {};\n\tvar value = options.asString ? \"\" : undefined;\n\tif(this.viewIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.viewTitle,this.viewIndex);\n\t} else {\n\t\tvar tiddler;\n\t\tif(this.viewSubtiddler) {\n\t\t\ttiddler = this.wiki.getSubTiddler(this.viewTitle,this.viewSubtiddler);\t\n\t\t} else {\n\t\t\ttiddler = this.wiki.getTiddler(this.viewTitle);\n\t\t}\n\t\tif(tiddler) {\n\t\t\tif(this.viewField === \"text\" && !this.viewSubtiddler) {\n\t\t\t\t// Calling getTiddlerText() triggers lazy loading of skinny tiddlers\n\t\t\t\tvalue = this.wiki.getTiddlerText(this.viewTitle);\n\t\t\t} else {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.viewField)) {\n\t\t\t\t\tif(options.asString) {\n\t\t\t\t\t\tvalue = tiddler.getFieldString(this.viewField);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvalue = tiddler.fields[this.viewField];\t\t\t\t\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tif(this.viewField === \"title\") {\n\t\t\t\tvalue = this.viewTitle;\n\t\t\t}\n\t\t}\n\t}\n\treturn value;\n};\n\nViewWidget.prototype.getValueAsText = function() {\n\treturn this.getValue({asString: true});\n};\n\nViewWidget.prototype.getValueAsHtmlWikified = function(mode) {\n\treturn this.wiki.renderText(\"text/html\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t});\n};\n\nViewWidget.prototype.getValueAsPlainWikified = function(mode) {\n\treturn this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t});\n};\n\nViewWidget.prototype.getValueAsHtmlEncodedPlainWikified = function(mode) {\n\treturn $tw.utils.htmlEncode(this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t}));\n};\n\nViewWidget.prototype.getValueAsHtmlEncoded = function() {\n\treturn $tw.utils.htmlEncode(this.getValueAsText());\n};\n\nViewWidget.prototype.getValueAsUrlEncoded = function() {\n\treturn encodeURIComponent(this.getValueAsText());\n};\n\nViewWidget.prototype.getValueAsDoubleUrlEncoded = function() {\n\treturn encodeURIComponent(encodeURIComponent(this.getValueAsText()));\n};\n\nViewWidget.prototype.getValueAsDate = function(format) {\n\tformat = format || \"YYYY MM DD 0hh:0mm\";\n\tvar value = $tw.utils.parseDate(this.getValue());\n\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\treturn $tw.utils.formatDateString(value,format);\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\nViewWidget.prototype.getValueAsRelativeDate = function(format) {\n\tvar value = $tw.utils.parseDate(this.getValue());\n\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\treturn $tw.utils.getRelativeDate((new Date()) - (new Date(value))).description;\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\nViewWidget.prototype.getValueAsStrippedComments = function() {\n\tvar lines = this.getValueAsText().split(\"\\n\"),\n\t\tout = [];\n\tfor(var line=0; line<lines.length; line++) {\n\t\tvar text = lines[line];\n\t\tif(!/^\\s*\\/\\/#/.test(text)) {\n\t\t\tout.push(text);\n\t\t}\n\t}\n\treturn out.join(\"\\n\");\n};\n\nViewWidget.prototype.getValueAsJsEncoded = function() {\n\treturn $tw.utils.stringify(this.getValueAsText());\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nViewWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.template || changedAttributes.format || changedTiddlers[this.viewTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.view = ViewWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/widget.js": {
            "title": "$:/core/modules/widgets/widget.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/widget.js\ntype: application/javascript\nmodule-type: widget\n\nWidget base class\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreate a widget object for a parse tree node\n\tparseTreeNode: reference to the parse tree node to be rendered\n\toptions: see below\nOptions include:\n\twiki: mandatory reference to wiki associated with this render tree\n\tparentWidget: optional reference to a parent renderer node for the context chain\n\tdocument: optional document object to use instead of global document\n*/\nvar Widget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInitialise widget properties. These steps are pulled out of the constructor so that we can reuse them in subclasses\n*/\nWidget.prototype.initialise = function(parseTreeNode,options) {\n\t// Bail if parseTreeNode is undefined, meaning  that the widget constructor was called without any arguments so that it can be subclassed\n\tif(parseTreeNode === undefined) {\n\t\treturn;\n\t}\n\toptions = options || {};\n\t// Save widget info\n\tthis.parseTreeNode = parseTreeNode;\n\tthis.wiki = options.wiki;\n\tthis.parentWidget = options.parentWidget;\n\tthis.variablesConstructor = function() {};\n\tthis.variablesConstructor.prototype = this.parentWidget ? this.parentWidget.variables : {};\n\tthis.variables = new this.variablesConstructor();\n\tthis.document = options.document;\n\tthis.attributes = {};\n\tthis.children = [];\n\tthis.domNodes = [];\n\tthis.eventListeners = {};\n\t// Hashmap of the widget classes\n\tif(!this.widgetClasses) {\n\t\t// Get widget classes\n\t\tWidget.prototype.widgetClasses = $tw.modules.applyMethods(\"widget\");\n\t\t// Process any subclasses\n\t\t$tw.modules.forEachModuleOfType(\"widget-subclass\",function(title,module) {\n\t\t\tif(module.baseClass) {\n\t\t\t\tvar baseClass = Widget.prototype.widgetClasses[module.baseClass];\n\t\t\t\tif(!baseClass) {\n\t\t\t\t\tthrow \"Module '\" + title + \"' is attemping to extend a non-existent base class '\" + module.baseClass + \"'\";\n\t\t\t\t}\n\t\t\t\tvar subClass = module.constructor;\n\t\t\t\tsubClass.prototype = new baseClass();\n\t\t\t\t$tw.utils.extend(subClass.prototype,module.prototype);\n\t\t\t\tWidget.prototype.widgetClasses[module.name || module.baseClass] = subClass;\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nWidget.prototype.execute = function() {\n\tthis.makeChildWidgets();\n};\n\n/*\nSet the value of a context variable\nname: name of the variable\nvalue: value of the variable\nparams: array of {name:, default:} for each parameter\nisMacroDefinition: true if the variable is set via a \\define macro pragma (and hence should have variable substitution performed)\n*/\nWidget.prototype.setVariable = function(name,value,params,isMacroDefinition) {\n\tthis.variables[name] = {value: value, params: params, isMacroDefinition: !!isMacroDefinition};\n};\n\n/*\nGet the prevailing value of a context variable\nname: name of variable\noptions: see below\nOptions include\nparams: array of {name:, value:} for each parameter\ndefaultValue: default value if the variable is not defined\n\nReturns an object with the following fields:\n\nparams: array of {name:,value:} of parameters passed to wikitext variables\ntext: text of variable, with parameters properly substituted\n*/\nWidget.prototype.getVariableInfo = function(name,options) {\n\toptions = options || {};\n\tvar actualParams = options.params || [],\n\t\tparentWidget = this.parentWidget;\n\t// Check for the variable defined in the parent widget (or an ancestor in the prototype chain)\n\tif(parentWidget && name in parentWidget.variables) {\n\t\tvar variable = parentWidget.variables[name],\n\t\t\toriginalValue = variable.value,\n\t\t\tvalue = originalValue,\n\t\t\tparams = this.resolveVariableParameters(variable.params,actualParams);\n\t\t// Substitute any parameters specified in the definition\n\t\t$tw.utils.each(params,function(param) {\n\t\t\tvalue = $tw.utils.replaceString(value,new RegExp(\"\\\\$\" + $tw.utils.escapeRegExp(param.name) + \"\\\\$\",\"mg\"),param.value);\n\t\t});\n\t\t// Only substitute variable references if this variable was defined with the \\define pragma\n\t\tif(variable.isMacroDefinition) {\n\t\t\tvalue = this.substituteVariableReferences(value);\t\t\t\n\t\t}\n\t\treturn {\n\t\t\ttext: value,\n\t\t\tparams: params,\n\t\t\tsrcVariable: variable,\n\t\t\tisCacheable: originalValue === value\n\t\t};\n\t}\n\t// If the variable doesn't exist in the parent widget then look for a macro module\n\treturn {\n\t\ttext: this.evaluateMacroModule(name,actualParams,options.defaultValue)\n\t};\n};\n\n/*\nSimplified version of getVariableInfo() that just returns the text\n*/\nWidget.prototype.getVariable = function(name,options) {\n\treturn this.getVariableInfo(name,options).text;\n};\n\nWidget.prototype.resolveVariableParameters = function(formalParams,actualParams) {\n\tformalParams = formalParams || [];\n\tactualParams = actualParams || [];\n\tvar nextAnonParameter = 0, // Next candidate anonymous parameter in macro call\n\t\tparamInfo, paramValue,\n\t\tresults = [];\n\t// Step through each of the parameters in the macro definition\n\tfor(var p=0; p<formalParams.length; p++) {\n\t\t// Check if we've got a macro call parameter with the same name\n\t\tparamInfo = formalParams[p];\n\t\tparamValue = undefined;\n\t\tfor(var m=0; m<actualParams.length; m++) {\n\t\t\tif(actualParams[m].name === paramInfo.name) {\n\t\t\t\tparamValue = actualParams[m].value;\n\t\t\t}\n\t\t}\n\t\t// If not, use the next available anonymous macro call parameter\n\t\twhile(nextAnonParameter < actualParams.length && actualParams[nextAnonParameter].name) {\n\t\t\tnextAnonParameter++;\n\t\t}\n\t\tif(paramValue === undefined && nextAnonParameter < actualParams.length) {\n\t\t\tparamValue = actualParams[nextAnonParameter++].value;\n\t\t}\n\t\t// If we've still not got a value, use the default, if any\n\t\tparamValue = paramValue || paramInfo[\"default\"] || \"\";\n\t\t// Store the parameter name and value\n\t\tresults.push({name: paramInfo.name, value: paramValue});\n\t}\n\treturn results;\n};\n\nWidget.prototype.substituteVariableReferences = function(text) {\n\tvar self = this;\n\treturn (text || \"\").replace(/\\$\\(([^\\)\\$]+)\\)\\$/g,function(match,p1,offset,string) {\n\t\treturn self.getVariable(p1,{defaultValue: \"\"});\n\t});\n};\n\nWidget.prototype.evaluateMacroModule = function(name,actualParams,defaultValue) {\n\tif($tw.utils.hop($tw.macros,name)) {\n\t\tvar macro = $tw.macros[name],\n\t\t\targs = [];\n\t\tif(macro.params.length > 0) {\n\t\t\tvar nextAnonParameter = 0, // Next candidate anonymous parameter in macro call\n\t\t\t\tparamInfo, paramValue;\n\t\t\t// Step through each of the parameters in the macro definition\n\t\t\tfor(var p=0; p<macro.params.length; p++) {\n\t\t\t\t// Check if we've got a macro call parameter with the same name\n\t\t\t\tparamInfo = macro.params[p];\n\t\t\t\tparamValue = undefined;\n\t\t\t\tfor(var m=0; m<actualParams.length; m++) {\n\t\t\t\t\tif(actualParams[m].name === paramInfo.name) {\n\t\t\t\t\t\tparamValue = actualParams[m].value;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// If not, use the next available anonymous macro call parameter\n\t\t\t\twhile(nextAnonParameter < actualParams.length && actualParams[nextAnonParameter].name) {\n\t\t\t\t\tnextAnonParameter++;\n\t\t\t\t}\n\t\t\t\tif(paramValue === undefined && nextAnonParameter < actualParams.length) {\n\t\t\t\t\tparamValue = actualParams[nextAnonParameter++].value;\n\t\t\t\t}\n\t\t\t\t// If we've still not got a value, use the default, if any\n\t\t\t\tparamValue = paramValue || paramInfo[\"default\"] || \"\";\n\t\t\t\t// Save the parameter\n\t\t\t\targs.push(paramValue);\n\t\t\t}\n\t\t}\n\t\telse for(var i=0; i<actualParams.length; ++i) {\n\t\t\targs.push(actualParams[i].value);\n\t\t}\n\t\treturn (macro.run.apply(this,args) || \"\").toString();\n\t} else {\n\t\treturn defaultValue;\n\t}\n};\n\n/*\nCheck whether a given context variable value exists in the parent chain\n*/\nWidget.prototype.hasVariable = function(name,value) {\n\tvar node = this;\n\twhile(node) {\n\t\tif($tw.utils.hop(node.variables,name) && node.variables[name].value === value) {\n\t\t\treturn true;\n\t\t}\n\t\tnode = node.parentWidget;\n\t}\n\treturn false;\n};\n\n/*\nConstruct a qualifying string based on a hash of concatenating the values of a given variable in the parent chain\n*/\nWidget.prototype.getStateQualifier = function(name) {\n\tthis.qualifiers = this.qualifiers || Object.create(null);\n\tname = name || \"transclusion\";\n\tif(this.qualifiers[name]) {\n\t\treturn this.qualifiers[name];\n\t} else {\n\t\tvar output = [],\n\t\t\tnode = this;\n\t\twhile(node && node.parentWidget) {\n\t\t\tif($tw.utils.hop(node.parentWidget.variables,name)) {\n\t\t\t\toutput.push(node.getVariable(name));\n\t\t\t}\n\t\t\tnode = node.parentWidget;\n\t\t}\n\t\tvar value = $tw.utils.hashString(output.join(\"\"));\n\t\tthis.qualifiers[name] = value;\n\t\treturn value;\n\t}\n};\n\n/*\nCompute the current values of the attributes of the widget. Returns a hashmap of the names of the attributes that have changed\n*/\nWidget.prototype.computeAttributes = function() {\n\tvar changedAttributes = {},\n\t\tself = this,\n\t\tvalue;\n\t$tw.utils.each(this.parseTreeNode.attributes,function(attribute,name) {\n\t\tif(attribute.type === \"filtered\") {\n\t\t\tvalue = self.wiki.filterTiddlers(attribute.filter,self)[0] || \"\";\n\t\t} else if(attribute.type === \"indirect\") {\n\t\t\tvalue = self.wiki.getTextReference(attribute.textReference,\"\",self.getVariable(\"currentTiddler\"));\n\t\t} else if(attribute.type === \"macro\") {\n\t\t\tvalue = self.getVariable(attribute.value.name,{params: attribute.value.params});\n\t\t} else { // String attribute\n\t\t\tvalue = attribute.value;\n\t\t}\n\t\t// Check whether the attribute has changed\n\t\tif(self.attributes[name] !== value) {\n\t\t\tself.attributes[name] = value;\n\t\t\tchangedAttributes[name] = true;\n\t\t}\n\t});\n\treturn changedAttributes;\n};\n\n/*\nCheck for the presence of an attribute\n*/\nWidget.prototype.hasAttribute = function(name) {\n\treturn $tw.utils.hop(this.attributes,name);\n};\n\n/*\nGet the value of an attribute\n*/\nWidget.prototype.getAttribute = function(name,defaultText) {\n\tif($tw.utils.hop(this.attributes,name)) {\n\t\treturn this.attributes[name];\n\t} else {\n\t\treturn defaultText;\n\t}\n};\n\n/*\nAssign the computed attributes of the widget to a domNode\noptions include:\nexcludeEventAttributes: ignores attributes whose name begins with \"on\"\n*/\nWidget.prototype.assignAttributes = function(domNode,options) {\n\toptions = options || {};\n\tvar self = this;\n\t$tw.utils.each(this.attributes,function(v,a) {\n\t\t// Check exclusions\n\t\tif(options.excludeEventAttributes && a.substr(0,2) === \"on\") {\n\t\t\tv = undefined;\n\t\t}\n\t\tif(v !== undefined) {\n\t\t\tvar b = a.split(\":\");\n\t\t\t// Setting certain attributes can cause a DOM error (eg xmlns on the svg element)\n\t\t\ttry {\n\t\t\t\tif (b.length == 2 && b[0] == \"xlink\"){\n\t\t\t\t\tdomNode.setAttributeNS(\"http://www.w3.org/1999/xlink\",b[1],v);\n\t\t\t\t} else {\n\t\t\t\t\tdomNode.setAttributeNS(null,a,v);\n\t\t\t\t}\n\t\t\t} catch(e) {\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nMake child widgets correspondng to specified parseTreeNodes\n*/\nWidget.prototype.makeChildWidgets = function(parseTreeNodes) {\n\tthis.children = [];\n\tvar self = this;\n\t$tw.utils.each(parseTreeNodes || (this.parseTreeNode && this.parseTreeNode.children),function(childNode) {\n\t\tself.children.push(self.makeChildWidget(childNode));\n\t});\n};\n\n/*\nConstruct the widget object for a parse tree node\n*/\nWidget.prototype.makeChildWidget = function(parseTreeNode) {\n\tvar WidgetClass = this.widgetClasses[parseTreeNode.type];\n\tif(!WidgetClass) {\n\t\tWidgetClass = this.widgetClasses.text;\n\t\tparseTreeNode = {type: \"text\", text: \"Undefined widget '\" + parseTreeNode.type + \"'\"};\n\t}\n\treturn new WidgetClass(parseTreeNode,{\n\t\twiki: this.wiki,\n\t\tvariables: {},\n\t\tparentWidget: this,\n\t\tdocument: this.document\n\t});\n};\n\n/*\nGet the next sibling of this widget\n*/\nWidget.prototype.nextSibling = function() {\n\tif(this.parentWidget) {\n\t\tvar index = this.parentWidget.children.indexOf(this);\n\t\tif(index !== -1 && index < this.parentWidget.children.length-1) {\n\t\t\treturn this.parentWidget.children[index+1];\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nGet the previous sibling of this widget\n*/\nWidget.prototype.previousSibling = function() {\n\tif(this.parentWidget) {\n\t\tvar index = this.parentWidget.children.indexOf(this);\n\t\tif(index !== -1 && index > 0) {\n\t\t\treturn this.parentWidget.children[index-1];\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRender the children of this widget into the DOM\n*/\nWidget.prototype.renderChildren = function(parent,nextSibling) {\n\tvar children = this.children;\n\tfor(var i = 0; i < children.length; i++) {\n\t\tchildren[i].render(parent,nextSibling);\n\t};\n};\n\n/*\nAdd a list of event listeners from an array [{type:,handler:},...]\n*/\nWidget.prototype.addEventListeners = function(listeners) {\n\tvar self = this;\n\t$tw.utils.each(listeners,function(listenerInfo) {\n\t\tself.addEventListener(listenerInfo.type,listenerInfo.handler);\n\t});\n};\n\n/*\nAdd an event listener\n*/\nWidget.prototype.addEventListener = function(type,handler) {\n\tvar self = this;\n\tif(typeof handler === \"string\") { // The handler is a method name on this widget\n\t\tthis.eventListeners[type] = function(event) {\n\t\t\treturn self[handler].call(self,event);\n\t\t};\n\t} else { // The handler is a function\n\t\tthis.eventListeners[type] = function(event) {\n\t\t\treturn handler.call(self,event);\n\t\t};\n\t}\n};\n\n/*\nDispatch an event to a widget. If the widget doesn't handle the event then it is also dispatched to the parent widget\n*/\nWidget.prototype.dispatchEvent = function(event) {\n\tevent.widget = event.widget || this;\n\t// Dispatch the event if this widget handles it\n\tvar listener = this.eventListeners[event.type];\n\tif(listener) {\n\t\t// Don't propagate the event if the listener returned false\n\t\tif(!listener(event)) {\n\t\t\treturn false;\n\t\t}\n\t}\n\t// Dispatch the event to the parent widget\n\tif(this.parentWidget) {\n\t\treturn this.parentWidget.dispatchEvent(event);\n\t}\n\treturn true;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nRebuild a previously rendered widget\n*/\nWidget.prototype.refreshSelf = function() {\n\tvar nextSibling = this.findNextSiblingDomNode();\n\tthis.removeChildDomNodes();\n\tthis.render(this.parentDomNode,nextSibling);\n};\n\n/*\nRefresh all the children of a widget\n*/\nWidget.prototype.refreshChildren = function(changedTiddlers) {\n\tvar children = this.children,\n\t\trefreshed = false;\n\tfor (var i = 0; i < children.length; i++) {\n\t\trefreshed = children[i].refresh(changedTiddlers) || refreshed;\n\t}\n\treturn refreshed;\n};\n\n/*\nFind the next sibling in the DOM to this widget. This is done by scanning the widget tree through all next siblings and their descendents that share the same parent DOM node\n*/\nWidget.prototype.findNextSiblingDomNode = function(startIndex) {\n\t// Refer to this widget by its index within its parents children\n\tvar parent = this.parentWidget,\n\t\tindex = startIndex !== undefined ? startIndex : parent.children.indexOf(this);\nif(index === -1) {\n\tthrow \"node not found in parents children\";\n}\n\t// Look for a DOM node in the later siblings\n\twhile(++index < parent.children.length) {\n\t\tvar domNode = parent.children[index].findFirstDomNode();\n\t\tif(domNode) {\n\t\t\treturn domNode;\n\t\t}\n\t}\n\t// Go back and look for later siblings of our parent if it has the same parent dom node\n\tvar grandParent = parent.parentWidget;\n\tif(grandParent && parent.parentDomNode === this.parentDomNode) {\n\t\tindex = grandParent.children.indexOf(parent);\n\t\tif(index !== -1) {\n\t\t\treturn parent.findNextSiblingDomNode(index);\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nFind the first DOM node generated by a widget or its children\n*/\nWidget.prototype.findFirstDomNode = function() {\n\t// Return the first dom node of this widget, if we've got one\n\tif(this.domNodes.length > 0) {\n\t\treturn this.domNodes[0];\n\t}\n\t// Otherwise, recursively call our children\n\tfor(var t=0; t<this.children.length; t++) {\n\t\tvar domNode = this.children[t].findFirstDomNode();\n\t\tif(domNode) {\n\t\t\treturn domNode;\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRemove any DOM nodes created by this widget or its children\n*/\nWidget.prototype.removeChildDomNodes = function() {\n\t// If this widget has directly created DOM nodes, delete them and exit. This assumes that any child widgets are contained within the created DOM nodes, which would normally be the case\n\tif(this.domNodes.length > 0) {\n\t\t$tw.utils.each(this.domNodes,function(domNode) {\n\t\t\tdomNode.parentNode.removeChild(domNode);\n\t\t});\n\t\tthis.domNodes = [];\n\t} else {\n\t\t// Otherwise, ask the child widgets to delete their DOM nodes\n\t\t$tw.utils.each(this.children,function(childWidget) {\n\t\t\tchildWidget.removeChildDomNodes();\n\t\t});\n\t}\n};\n\n/*\nInvoke the action widgets that are descendents of the current widget.\n*/\nWidget.prototype.invokeActions = function(triggeringWidget,event) {\n\tvar handled = false;\n\t// For each child widget\n\tfor(var t=0; t<this.children.length; t++) {\n\t\tvar child = this.children[t];\n\t\t// Invoke the child if it is an action widget\n\t\tif(child.invokeAction) {\n\t\t\tchild.refreshSelf();\n\t\t\tif(child.invokeAction(triggeringWidget,event)) {\n\t\t\t\thandled = true;\n\t\t\t}\n\t\t}\n\t\t// Propagate through through the child if it permits it\n\t\tif(child.allowActionPropagation() && child.invokeActions(triggeringWidget,event)) {\n\t\t\thandled = true;\n\t\t}\n\t}\n\treturn handled;\n};\n\n/*\nInvoke the action widgets defined in a string\n*/\nWidget.prototype.invokeActionString = function(actions,triggeringWidget,event,variables) {\n\tactions = actions || \"\";\n\tvar parser = this.wiki.parseText(\"text/vnd.tiddlywiki\",actions,{\n\t\t\tparentWidget: this,\n\t\t\tdocument: this.document\n\t\t}),\n\t\twidgetNode = this.wiki.makeWidget(parser,{\n\t\t\tparentWidget: this,\n\t\t\tdocument: this.document,\n\t\t\tvariables: variables\n\t\t});\n\tvar container = this.document.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn widgetNode.invokeActions(this,event);\n};\n\n/*\nExecute action tiddlers by tag\n*/\nWidget.prototype.invokeActionsByTag = function(tag,event,variables) {\n\tvar self = this;\n\t$tw.utils.each(self.wiki.filterTiddlers(\"[all[shadows+tiddlers]tag[\" + tag + \"]!has[draft.of]]\"),function(title) {\n\t\tself.invokeActionString(self.wiki.getTiddlerText(title),self,event,variables);\n\t});\n};\n\nWidget.prototype.allowActionPropagation = function() {\n\treturn true;\n};\n\nexports.widget = Widget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/widgets/wikify.js": {
            "title": "$:/core/modules/widgets/wikify.js",
            "text": "/*\\\ntitle: $:/core/modules/widgets/wikify.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to wikify text into a variable\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar WikifyWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nWikifyWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nWikifyWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nWikifyWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.wikifyName = this.getAttribute(\"name\");\n\tthis.wikifyText = this.getAttribute(\"text\");\n\tthis.wikifyType = this.getAttribute(\"type\");\n\tthis.wikifyMode = this.getAttribute(\"mode\",\"block\");\n\tthis.wikifyOutput = this.getAttribute(\"output\",\"text\");\n\t// Create the parse tree\n\tthis.wikifyParser = this.wiki.parseText(this.wikifyType,this.wikifyText,{\n\t\t\tparseAsInline: this.wikifyMode === \"inline\"\n\t\t});\n\t// Create the widget tree \n\tthis.wikifyWidgetNode = this.wiki.makeWidget(this.wikifyParser,{\n\t\t\tdocument: $tw.fakeDocument,\n\t\t\tparentWidget: this\n\t\t});\n\t// Render the widget tree to the container\n\tthis.wikifyContainer = $tw.fakeDocument.createElement(\"div\");\n\tthis.wikifyWidgetNode.render(this.wikifyContainer,null);\n\tthis.wikifyResult = this.getResult();\n\t// Set context variable\n\tthis.setVariable(this.wikifyName,this.wikifyResult);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nReturn the result string\n*/\nWikifyWidget.prototype.getResult = function() {\n\tvar result;\n\tswitch(this.wikifyOutput) {\n\t\tcase \"text\":\n\t\t\tresult = this.wikifyContainer.textContent;\n\t\t\tbreak;\n\t\tcase \"formattedtext\":\n\t\t\tresult = this.wikifyContainer.formattedTextContent;\n\t\t\tbreak;\n\t\tcase \"html\":\n\t\t\tresult = this.wikifyContainer.innerHTML;\n\t\t\tbreak;\n\t\tcase \"parsetree\":\n\t\t\tresult = JSON.stringify(this.wikifyParser.tree,0,$tw.config.preferences.jsonSpaces);\n\t\t\tbreak;\n\t\tcase \"widgettree\":\n\t\t\tresult = JSON.stringify(this.getWidgetTree(),0,$tw.config.preferences.jsonSpaces);\n\t\t\tbreak;\n\t}\n\treturn result;\n};\n\n/*\nReturn a string of the widget tree\n*/\nWikifyWidget.prototype.getWidgetTree = function() {\n\tvar copyNode = function(widgetNode,resultNode) {\n\t\t\tvar type = widgetNode.parseTreeNode.type;\n\t\t\tresultNode.type = type;\n\t\t\tswitch(type) {\n\t\t\t\tcase \"element\":\n\t\t\t\t\tresultNode.tag = widgetNode.parseTreeNode.tag;\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"text\":\n\t\t\t\t\tresultNode.text = widgetNode.parseTreeNode.text;\n\t\t\t\t\tbreak;\t\n\t\t\t}\n\t\t\tif(Object.keys(widgetNode.attributes || {}).length > 0) {\n\t\t\t\tresultNode.attributes = {};\n\t\t\t\t$tw.utils.each(widgetNode.attributes,function(attr,attrName) {\n\t\t\t\t\tresultNode.attributes[attrName] = widgetNode.getAttribute(attrName);\n\t\t\t\t});\n\t\t\t}\n\t\t\tif(Object.keys(widgetNode.children || {}).length > 0) {\n\t\t\t\tresultNode.children = [];\n\t\t\t\t$tw.utils.each(widgetNode.children,function(widgetChildNode) {\n\t\t\t\t\tvar node = {};\n\t\t\t\t\tresultNode.children.push(node);\n\t\t\t\t\tcopyNode(widgetChildNode,node);\n\t\t\t\t});\n\t\t\t}\n\t\t},\n\t\tresults = {};\n\tcopyNode(this.wikifyWidgetNode,results);\n\treturn results;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nWikifyWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// Refresh ourselves entirely if any of our attributes have changed\n\tif(changedAttributes.name || changedAttributes.text || changedAttributes.type || changedAttributes.mode || changedAttributes.output) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\t// Refresh the widget tree\n\t\tif(this.wikifyWidgetNode.refresh(changedTiddlers)) {\n\t\t\t// Check if there was any change\n\t\t\tvar result = this.getResult();\n\t\t\tif(result !== this.wikifyResult) {\n\t\t\t\t// If so, save the change\n\t\t\t\tthis.wikifyResult = result;\n\t\t\t\tthis.setVariable(this.wikifyName,this.wikifyResult);\n\t\t\t\t// Refresh each of our child widgets\n\t\t\t\t$tw.utils.each(this.children,function(childWidget) {\n\t\t\t\t\tchildWidget.refreshSelf();\n\t\t\t\t});\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\t// Just refresh the children\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.wikify = WikifyWidget;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/core/modules/wiki-bulkops.js": {
            "title": "$:/core/modules/wiki-bulkops.js",
            "text": "/*\\\ntitle: $:/core/modules/wiki-bulkops.js\ntype: application/javascript\nmodule-type: wikimethod\n\nBulk tiddler operations such as rename.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRename a tiddler, and relink any tags or lists that reference it.\n*/\nfunction renameTiddler(fromTitle,toTitle,options) {\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\toptions = options || {};\n\tif(fromTitle && toTitle && fromTitle !== toTitle) {\n\t\t// Rename the tiddler itself\n\t\tvar oldTiddler = this.getTiddler(fromTitle),\n\t\t\tnewTiddler = new $tw.Tiddler(oldTiddler,{title: toTitle},this.getModificationFields());\n\t\tnewTiddler = $tw.hooks.invokeHook(\"th-renaming-tiddler\",newTiddler,oldTiddler);\n\t\tthis.addTiddler(newTiddler);\n\t\tthis.deleteTiddler(fromTitle);\n\t\t// Rename any tags or lists that reference it\n\t\tthis.relinkTiddler(fromTitle,toTitle,options)\n\t}\n}\n\n/*\nRelink any tags or lists that reference a given tiddler\n*/\nfunction relinkTiddler(fromTitle,toTitle,options) {\n\tvar self = this;\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\toptions = options || {};\n\tif(fromTitle && toTitle && fromTitle !== toTitle) {\n\t\tthis.each(function(tiddler,title) {\n\t\t\tvar type = tiddler.fields.type || \"\";\n\t\t\t// Don't touch plugins or JavaScript modules\n\t\t\tif(!tiddler.fields[\"plugin-type\"] && type !== \"application/javascript\") {\n\t\t\t\tvar tags = tiddler.fields.tags ? tiddler.fields.tags.slice(0) : undefined,\n\t\t\t\t\tlist = tiddler.fields.list ? tiddler.fields.list.slice(0) : undefined,\n\t\t\t\t\tisModified = false;\n\t\t\t\tif(!options.dontRenameInTags) {\n\t\t\t\t\t// Rename tags\n\t\t\t\t\t$tw.utils.each(tags,function (title,index) {\n\t\t\t\t\t\tif(title === fromTitle) {\nconsole.log(\"Renaming tag '\" + tags[index] + \"' to '\" + toTitle + \"' of tiddler '\" + tiddler.fields.title + \"'\");\n\t\t\t\t\t\t\ttags[index] = toTitle;\n\t\t\t\t\t\t\tisModified = true;\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tif(!options.dontRenameInLists) {\n\t\t\t\t\t// Rename lists\n\t\t\t\t\t$tw.utils.each(list,function (title,index) {\n\t\t\t\t\t\tif(title === fromTitle) {\nconsole.log(\"Renaming list item '\" + list[index] + \"' to '\" + toTitle + \"' of tiddler '\" + tiddler.fields.title + \"'\");\n\t\t\t\t\t\t\tlist[index] = toTitle;\n\t\t\t\t\t\t\tisModified = true;\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tif(isModified) {\n\t\t\t\t\tvar newTiddler = new $tw.Tiddler(tiddler,{tags: tags, list: list},self.getModificationFields())\n\t\t\t\t\tnewTiddler = $tw.hooks.invokeHook(\"th-relinking-tiddler\",newTiddler,tiddler);\n\t\t\t\t\tself.addTiddler(newTiddler);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\nexports.renameTiddler = renameTiddler;\nexports.relinkTiddler = relinkTiddler;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "wikimethod"
        },
        "$:/core/modules/wiki.js": {
            "title": "$:/core/modules/wiki.js",
            "text": "/*\\\ntitle: $:/core/modules/wiki.js\ntype: application/javascript\nmodule-type: wikimethod\n\nExtension methods for the $tw.Wiki object\n\nAdds the following properties to the wiki object:\n\n* `eventListeners` is a hashmap by type of arrays of listener functions\n* `changedTiddlers` is a hashmap describing changes to named tiddlers since wiki change events were last dispatched. Each entry is a hashmap containing two fields:\n\tmodified: true/false\n\tdeleted: true/false\n* `changeCount` is a hashmap by tiddler title containing a numerical index that starts at zero and is incremented each time a tiddler is created changed or deleted\n* `caches` is a hashmap by tiddler title containing a further hashmap of named cache objects. Caches are automatically cleared when a tiddler is modified or deleted\n* `globalCache` is a hashmap by cache name of cache objects that are cleared whenever any tiddler change occurs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar USER_NAME_TITLE = \"$:/status/UserName\",\n\tTIMESTAMP_DISABLE_TITLE = \"$:/config/TimestampDisable\";\n\n/*\nAdd available indexers to this wiki\n*/\nexports.addIndexersToWiki = function() {\n\tvar self = this;\n\t$tw.utils.each($tw.modules.applyMethods(\"indexer\"),function(Indexer,name) {\n\t\tself.addIndexer(new Indexer(self),name);\n\t});\n};\n\n/*\nGet the value of a text reference. Text references can have any of these forms:\n\t<tiddlertitle>\n\t<tiddlertitle>!!<fieldname>\n\t!!<fieldname> - specifies a field of the current tiddlers\n\t<tiddlertitle>##<index>\n*/\nexports.getTextReference = function(textRef,defaultText,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle = tr.title || currTiddlerTitle;\n\tif(tr.field) {\n\t\tvar tiddler = this.getTiddler(title);\n\t\tif(tr.field === \"title\") { // Special case so we can return the title of a non-existent tiddler\n\t\t\treturn title;\n\t\t} else if(tiddler && $tw.utils.hop(tiddler.fields,tr.field)) {\n\t\t\treturn tiddler.getFieldString(tr.field);\n\t\t} else {\n\t\t\treturn defaultText;\n\t\t}\n\t} else if(tr.index) {\n\t\treturn this.extractTiddlerDataItem(title,tr.index,defaultText);\n\t} else {\n\t\treturn this.getTiddlerText(title,defaultText);\n\t}\n};\n\nexports.setTextReference = function(textRef,value,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle = tr.title || currTiddlerTitle;\n\tthis.setText(title,tr.field,tr.index,value);\n};\n\nexports.setText = function(title,field,index,value,options) {\n\toptions = options || {};\n\tvar creationFields = options.suppressTimestamp ? {} : this.getCreationFields(),\n\t\tmodificationFields = options.suppressTimestamp ? {} : this.getModificationFields();\n\t// Check if it is a reference to a tiddler field\n\tif(index) {\n\t\tvar data = this.getTiddlerData(title,Object.create(null));\n\t\tif(value !== undefined) {\n\t\t\tdata[index] = value;\n\t\t} else {\n\t\t\tdelete data[index];\n\t\t}\n\t\tthis.setTiddlerData(title,data,modificationFields);\n\t} else {\n\t\tvar tiddler = this.getTiddler(title),\n\t\t\tfields = {title: title};\n\t\tfields[field || \"text\"] = value;\n\t\tthis.addTiddler(new $tw.Tiddler(creationFields,tiddler,fields,modificationFields));\n\t}\n};\n\nexports.deleteTextReference = function(textRef,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle,tiddler,fields;\n\t// Check if it is a reference to a tiddler\n\tif(tr.title && !tr.field) {\n\t\tthis.deleteTiddler(tr.title);\n\t// Else check for a field reference\n\t} else if(tr.field) {\n\t\ttitle = tr.title || currTiddlerTitle;\n\t\ttiddler = this.getTiddler(title);\n\t\tif(tiddler && $tw.utils.hop(tiddler.fields,tr.field)) {\n\t\t\tfields = Object.create(null);\n\t\t\tfields[tr.field] = undefined;\n\t\t\tthis.addTiddler(new $tw.Tiddler(tiddler,fields,this.getModificationFields()));\n\t\t}\n\t}\n};\n\nexports.addEventListener = function(type,listener) {\n\tthis.eventListeners = this.eventListeners || {};\n\tthis.eventListeners[type] = this.eventListeners[type]  || [];\n\tthis.eventListeners[type].push(listener);\t\n};\n\nexports.removeEventListener = function(type,listener) {\n\tvar listeners = this.eventListeners[type];\n\tif(listeners) {\n\t\tvar p = listeners.indexOf(listener);\n\t\tif(p !== -1) {\n\t\t\tlisteners.splice(p,1);\n\t\t}\n\t}\n};\n\nexports.dispatchEvent = function(type /*, args */) {\n\tvar args = Array.prototype.slice.call(arguments,1),\n\t\tlisteners = this.eventListeners[type];\n\tif(listeners) {\n\t\tfor(var p=0; p<listeners.length; p++) {\n\t\t\tvar listener = listeners[p];\n\t\t\tlistener.apply(listener,args);\n\t\t}\n\t}\n};\n\n/*\nCauses a tiddler to be marked as changed, incrementing the change count, and triggers event handlers.\nThis method should be called after the changes it describes have been made to the wiki.tiddlers[] array.\n\ttitle: Title of tiddler\n\tisDeleted: defaults to false (meaning the tiddler has been created or modified),\n\t\ttrue if the tiddler has been deleted\n*/\nexports.enqueueTiddlerEvent = function(title,isDeleted) {\n\t// Record the touch in the list of changed tiddlers\n\tthis.changedTiddlers = this.changedTiddlers || Object.create(null);\n\tthis.changedTiddlers[title] = this.changedTiddlers[title] || Object.create(null);\n\tthis.changedTiddlers[title][isDeleted ? \"deleted\" : \"modified\"] = true;\n\t// Increment the change count\n\tthis.changeCount = this.changeCount || Object.create(null);\n\tif($tw.utils.hop(this.changeCount,title)) {\n\t\tthis.changeCount[title]++;\n\t} else {\n\t\tthis.changeCount[title] = 1;\n\t}\n\t// Trigger events\n\tthis.eventListeners = this.eventListeners || {};\n\tif(!this.eventsTriggered) {\n\t\tvar self = this;\n\t\t$tw.utils.nextTick(function() {\n\t\t\tvar changes = self.changedTiddlers;\n\t\t\tself.changedTiddlers = Object.create(null);\n\t\t\tself.eventsTriggered = false;\n\t\t\tif($tw.utils.count(changes) > 0) {\n\t\t\t\tself.dispatchEvent(\"change\",changes);\n\t\t\t}\n\t\t});\n\t\tthis.eventsTriggered = true;\n\t}\n};\n\nexports.getSizeOfTiddlerEventQueue = function() {\n\treturn $tw.utils.count(this.changedTiddlers);\n};\n\nexports.clearTiddlerEventQueue = function() {\n\tthis.changedTiddlers = Object.create(null);\n\tthis.changeCount = Object.create(null);\n};\n\nexports.getChangeCount = function(title) {\n\tthis.changeCount = this.changeCount || Object.create(null);\n\tif($tw.utils.hop(this.changeCount,title)) {\n\t\treturn this.changeCount[title];\n\t} else {\n\t\treturn 0;\n\t}\n};\n\n/*\nGenerate an unused title from the specified base\n*/\nexports.generateNewTitle = function(baseTitle,options) {\n\toptions = options || {};\n\tvar c = 0,\n\t\ttitle = baseTitle;\n\twhile(this.tiddlerExists(title) || this.isShadowTiddler(title) || this.findDraft(title)) {\n\t\ttitle = baseTitle + \n\t\t\t(options.prefix || \" \") + \n\t\t\t(++c);\n\t}\n\treturn title;\n};\n\nexports.isSystemTiddler = function(title) {\n\treturn title && title.indexOf(\"$:/\") === 0;\n};\n\nexports.isTemporaryTiddler = function(title) {\n\treturn title && title.indexOf(\"$:/temp/\") === 0;\n};\n\nexports.isImageTiddler = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\t\t\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/vnd.tiddlywiki\"];\n\t\treturn !!contentTypeInfo && contentTypeInfo.flags.indexOf(\"image\") !== -1;\n\t} else {\n\t\treturn null;\n\t}\n};\n\nexports.isBinaryTiddler = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\t\t\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/vnd.tiddlywiki\"];\n\t\treturn !!contentTypeInfo && contentTypeInfo.encoding === \"base64\";\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLike addTiddler() except it will silently reject any plugin tiddlers that are older than the currently loaded version. Returns true if the tiddler was imported\n*/\nexports.importTiddler = function(tiddler) {\n\tvar existingTiddler = this.getTiddler(tiddler.fields.title);\n\t// Check if we're dealing with a plugin\n\tif(tiddler && tiddler.hasField(\"plugin-type\") && tiddler.hasField(\"version\") && existingTiddler && existingTiddler.hasField(\"plugin-type\") && existingTiddler.hasField(\"version\")) {\n\t\t// Reject the incoming plugin if it is older\n\t\tif(!$tw.utils.checkVersions(tiddler.fields.version,existingTiddler.fields.version)) {\n\t\t\treturn false;\n\t\t}\n\t}\n\t// Fall through to adding the tiddler\n\tthis.addTiddler(tiddler);\n\treturn true;\n};\n\n/*\nReturn a hashmap of the fields that should be set when a tiddler is created\n*/\nexports.getCreationFields = function() {\n\tif(this.getTiddlerText(TIMESTAMP_DISABLE_TITLE,\"\").toLowerCase() !== \"yes\") {\n\t\tvar fields = {\n\t\t\t\tcreated: new Date()\n\t\t\t},\n\t\t\tcreator = this.getTiddlerText(USER_NAME_TITLE);\n\t\tif(creator) {\n\t\t\tfields.creator = creator;\n\t\t}\n\t\treturn fields;\n\t} else {\n\t\treturn {};\n\t}\n};\n\n/*\nReturn a hashmap of the fields that should be set when a tiddler is modified\n*/\nexports.getModificationFields = function() {\n\tif(this.getTiddlerText(TIMESTAMP_DISABLE_TITLE,\"\").toLowerCase() !== \"yes\") {\n\t\tvar fields = Object.create(null),\n\t\t\tmodifier = this.getTiddlerText(USER_NAME_TITLE);\n\t\tfields.modified = new Date();\n\t\tif(modifier) {\n\t\t\tfields.modifier = modifier;\n\t\t}\n\t\treturn fields;\n\t} else {\n\t\treturn {};\n\t}\n};\n\n/*\nReturn a sorted array of tiddler titles.  Options include:\nsortField: field to sort by\nexcludeTag: tag to exclude\nincludeSystem: whether to include system tiddlers (defaults to false)\n*/\nexports.getTiddlers = function(options) {\n\toptions = options || Object.create(null);\n\tvar self = this,\n\t\tsortField = options.sortField || \"title\",\n\t\ttiddlers = [], t, titles = [];\n\tthis.each(function(tiddler,title) {\n\t\tif(options.includeSystem || !self.isSystemTiddler(title)) {\n\t\t\tif(!options.excludeTag || !tiddler.hasTag(options.excludeTag)) {\n\t\t\t\ttiddlers.push(tiddler);\n\t\t\t}\n\t\t}\n\t});\n\ttiddlers.sort(function(a,b) {\n\t\tvar aa = a.fields[sortField].toLowerCase() || \"\",\n\t\t\tbb = b.fields[sortField].toLowerCase() || \"\";\n\t\tif(aa < bb) {\n\t\t\treturn -1;\n\t\t} else {\n\t\t\tif(aa > bb) {\n\t\t\t\treturn 1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t}\n\t});\n\tfor(t=0; t<tiddlers.length; t++) {\n\t\ttitles.push(tiddlers[t].fields.title);\n\t}\n\treturn titles;\n};\n\nexports.countTiddlers = function(excludeTag) {\n\tvar tiddlers = this.getTiddlers({excludeTag: excludeTag});\n\treturn $tw.utils.count(tiddlers);\n};\n\n/*\nReturns a function iterator(callback) that iterates through the specified titles, and invokes the callback with callback(tiddler,title)\n*/\nexports.makeTiddlerIterator = function(titles) {\n\tvar self = this;\n\tif(!$tw.utils.isArray(titles)) {\n\t\ttitles = Object.keys(titles);\n\t} else {\n\t\ttitles = titles.slice(0);\n\t}\n\treturn function(callback) {\n\t\ttitles.forEach(function(title) {\n\t\t\tcallback(self.getTiddler(title),title);\n\t\t});\n\t};\n};\n\n/*\nSort an array of tiddler titles by a specified field\n\ttitles: array of titles (sorted in place)\n\tsortField: name of field to sort by\n\tisDescending: true if the sort should be descending\n\tisCaseSensitive: true if the sort should consider upper and lower case letters to be different\n*/\nexports.sortTiddlers = function(titles,sortField,isDescending,isCaseSensitive,isNumeric,isAlphaNumeric) {\n\tvar self = this;\n\ttitles.sort(function(a,b) {\n\t\tvar x,y,\n\t\t\tcompareNumbers = function(x,y) {\n\t\t\t\tvar result = \n\t\t\t\t\tisNaN(x) && !isNaN(y) ? (isDescending ? -1 : 1) :\n\t\t\t\t\t!isNaN(x) && isNaN(y) ? (isDescending ? 1 : -1) :\n\t\t\t\t\t\t\t\t\t\t\t(isDescending ? y - x :  x - y);\n\t\t\t\treturn result;\n\t\t\t};\n\t\tif(sortField !== \"title\") {\n\t\t\tvar tiddlerA = self.getTiddler(a),\n\t\t\t\ttiddlerB = self.getTiddler(b);\n\t\t\tif(tiddlerA) {\n\t\t\t\ta = tiddlerA.fields[sortField] || \"\";\n\t\t\t} else {\n\t\t\t\ta = \"\";\n\t\t\t}\n\t\t\tif(tiddlerB) {\n\t\t\t\tb = tiddlerB.fields[sortField] || \"\";\n\t\t\t} else {\n\t\t\t\tb = \"\";\n\t\t\t}\n\t\t}\n\t\tx = Number(a);\n\t\ty = Number(b);\n\t\tif(isNumeric && (!isNaN(x) || !isNaN(y))) {\n\t\t\treturn compareNumbers(x,y);\n\t\t} else if($tw.utils.isDate(a) && $tw.utils.isDate(b)) {\n\t\t\treturn isDescending ? b - a : a - b;\n\t\t} else if(isAlphaNumeric) {\n\t\t\treturn isDescending ? b.localeCompare(a,undefined,{numeric: true,sensitivity: \"base\"}) : a.localeCompare(b,undefined,{numeric: true,sensitivity: \"base\"});\n\t\t} else {\n\t\t\ta = String(a);\n\t\t\tb = String(b);\n\t\t\tif(!isCaseSensitive) {\n\t\t\t\ta = a.toLowerCase();\n\t\t\t\tb = b.toLowerCase();\n\t\t\t}\n\t\t\treturn isDescending ? b.localeCompare(a) : a.localeCompare(b);\n\t\t}\n\t});\n};\n\n/*\nFor every tiddler invoke a callback(title,tiddler) with `this` set to the wiki object. Options include:\nsortField: field to sort by\nexcludeTag: tag to exclude\nincludeSystem: whether to include system tiddlers (defaults to false)\n*/\nexports.forEachTiddler = function(/* [options,]callback */) {\n\tvar arg = 0,\n\t\toptions = arguments.length >= 2 ? arguments[arg++] : {},\n\t\tcallback = arguments[arg++],\n\t\ttitles = this.getTiddlers(options),\n\t\tt, tiddler;\n\tfor(t=0; t<titles.length; t++) {\n\t\ttiddler = this.getTiddler(titles[t]);\n\t\tif(tiddler) {\n\t\t\tcallback.call(this,tiddler.fields.title,tiddler);\n\t\t}\n\t}\n};\n\n/*\nReturn an array of tiddler titles that are directly linked within the given parse tree\n */\nexports.extractLinks = function(parseTreeRoot) {\n\t// Count up the links\n\tvar links = [],\n\t\tcheckParseTree = function(parseTree) {\n\t\t\tfor(var t=0; t<parseTree.length; t++) {\n\t\t\t\tvar parseTreeNode = parseTree[t];\n\t\t\t\tif(parseTreeNode.type === \"link\" && parseTreeNode.attributes.to && parseTreeNode.attributes.to.type === \"string\") {\n\t\t\t\t\tvar value = parseTreeNode.attributes.to.value;\n\t\t\t\t\tif(links.indexOf(value) === -1) {\n\t\t\t\t\t\tlinks.push(value);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(parseTreeNode.children) {\n\t\t\t\t\tcheckParseTree(parseTreeNode.children);\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\tcheckParseTree(parseTreeRoot);\n\treturn links;\n};\n\n/*\nReturn an array of tiddler titles that are directly linked from the specified tiddler\n*/\nexports.getTiddlerLinks = function(title) {\n\tvar self = this;\n\t// We'll cache the links so they only get computed if the tiddler changes\n\treturn this.getCacheForTiddler(title,\"links\",function() {\n\t\t// Parse the tiddler\n\t\tvar parser = self.parseTiddler(title);\n\t\tif(parser) {\n\t\t\treturn self.extractLinks(parser.tree);\n\t\t}\n\t\treturn [];\n\t});\n};\n\n/*\nReturn an array of tiddler titles that link to the specified tiddler\n*/\nexports.getTiddlerBacklinks = function(targetTitle) {\n\tvar self = this,\n\t\tbacklinksIndexer = this.getIndexer(\"BacklinksIndexer\"),\n\t\tbacklinks = backlinksIndexer && backlinksIndexer.lookup(targetTitle);\n\n\tif(!backlinks) {\n\t\tbacklinks = [];\n\t\tthis.forEachTiddler(function(title,tiddler) {\n\t\t\tvar links = self.getTiddlerLinks(title);\n\t\t\tif(links.indexOf(targetTitle) !== -1) {\n\t\t\t\tbacklinks.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn backlinks;\n};\n\n/*\nReturn a hashmap of tiddler titles that are referenced but not defined. Each value is the number of times the missing tiddler is referenced\n*/\nexports.getMissingTitles = function() {\n\tvar self = this,\n\t\tmissing = [];\n// We should cache the missing tiddler list, even if we recreate it every time any tiddler is modified\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\t$tw.utils.each(links,function(link) {\n\t\t\tif((!self.tiddlerExists(link) && !self.isShadowTiddler(link)) && missing.indexOf(link) === -1) {\n\t\t\t\tmissing.push(link);\n\t\t\t}\n\t\t});\n\t});\n\treturn missing;\n};\n\nexports.getOrphanTitles = function() {\n\tvar self = this,\n\t\torphans = this.getTiddlers();\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\t$tw.utils.each(links,function(link) {\n\t\t\tvar p = orphans.indexOf(link);\n\t\t\tif(p !== -1) {\n\t\t\t\torphans.splice(p,1);\n\t\t\t}\n\t\t});\n\t});\n\treturn orphans; // Todo\n};\n\n/*\nRetrieves a list of the tiddler titles that are tagged with a given tag\n*/\nexports.getTiddlersWithTag = function(tag) {\n\t// Try to use the indexer\n\tvar self = this,\n\t\ttagIndexer = this.getIndexer(\"TagIndexer\"),\n\t\tresults = tagIndexer && tagIndexer.subIndexers[3].lookup(tag);\n\tif(!results) {\n\t\t// If not available, perform a manual scan\n\t\tresults = this.getGlobalCache(\"taglist-\" + tag,function() {\n\t\t\tvar tagmap = self.getTagMap();\n\t\t\treturn self.sortByList(tagmap[tag],tag);\n\t\t});\n\t}\n\treturn results;\n};\n\n/*\nGet a hashmap by tag of arrays of tiddler titles\n*/\nexports.getTagMap = function() {\n\tvar self = this;\n\treturn this.getGlobalCache(\"tagmap\",function() {\n\t\tvar tags = Object.create(null),\n\t\t\tstoreTags = function(tagArray,title) {\n\t\t\t\tif(tagArray) {\n\t\t\t\t\tfor(var index=0; index<tagArray.length; index++) {\n\t\t\t\t\t\tvar tag = tagArray[index];\n\t\t\t\t\t\tif($tw.utils.hop(tags,tag)) {\n\t\t\t\t\t\t\ttags[tag].push(title);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\ttags[tag] = [title];\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t},\n\t\t\ttitle, tiddler;\n\t\t// Collect up all the tags\n\t\tself.eachShadow(function(tiddler,title) {\n\t\t\tif(!self.tiddlerExists(title)) {\n\t\t\t\ttiddler = self.getTiddler(title);\n\t\t\t\tstoreTags(tiddler.fields.tags,title);\n\t\t\t}\n\t\t});\n\t\tself.each(function(tiddler,title) {\n\t\t\tstoreTags(tiddler.fields.tags,title);\n\t\t});\n\t\treturn tags;\n\t});\n};\n\n/*\nLookup a given tiddler and return a list of all the tiddlers that include it in the specified list field\n*/\nexports.findListingsOfTiddler = function(targetTitle,fieldName) {\n\tfieldName = fieldName || \"list\";\n\tvar titles = [];\n\tthis.each(function(tiddler,title) {\n\t\tvar list = $tw.utils.parseStringArray(tiddler.fields[fieldName]);\n\t\tif(list && list.indexOf(targetTitle) !== -1) {\n\t\t\ttitles.push(title);\n\t\t}\n\t});\n\treturn titles;\n};\n\n/*\nSorts an array of tiddler titles according to an ordered list\n*/\nexports.sortByList = function(array,listTitle) {\n\tvar self = this,\n\t\treplacedTitles = Object.create(null);\n\t// Given a title, this function will place it in the correct location\n\t// within titles.\n\tfunction moveItemInList(title) {\n\t\tif(!$tw.utils.hop(replacedTitles, title)) {\n\t\t\treplacedTitles[title] = true;\n\t\t\tvar newPos = -1,\n\t\t\t\ttiddler = self.getTiddler(title);\n\t\t\tif(tiddler) {\n\t\t\t\tvar beforeTitle = tiddler.fields[\"list-before\"],\n\t\t\t\t\tafterTitle = tiddler.fields[\"list-after\"];\n\t\t\t\tif(beforeTitle === \"\") {\n\t\t\t\t\tnewPos = 0;\n\t\t\t\t} else if(afterTitle === \"\") {\n\t\t\t\t\tnewPos = titles.length;\n\t\t\t\t} else if(beforeTitle) {\n\t\t\t\t\t// if this title is placed relative\n\t\t\t\t\t// to another title, make sure that\n\t\t\t\t\t// title is placed before we place\n\t\t\t\t\t// this one.\n\t\t\t\t\tmoveItemInList(beforeTitle);\n\t\t\t\t\tnewPos = titles.indexOf(beforeTitle);\n\t\t\t\t} else if(afterTitle) {\n\t\t\t\t\t// Same deal\n\t\t\t\t\tmoveItemInList(afterTitle);\n\t\t\t\t\tnewPos = titles.indexOf(afterTitle);\n\t\t\t\t\tif(newPos >= 0) {\n\t\t\t\t\t\t++newPos;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// If a new position is specified, let's move it\n\t\t\t\tif (newPos !== -1) {\n\t\t\t\t\t// get its current Pos, and make sure\n\t\t\t\t\t// sure that it's _actually_ in the list\n\t\t\t\t\t// and that it would _actually_ move\n\t\t\t\t\t// (#4275) We don't bother calling\n\t\t\t\t\t//         indexOf unless we have a new\n\t\t\t\t\t//         position to work with\n\t\t\t\t\tvar currPos = titles.indexOf(title);\n\t\t\t\t\tif(currPos >= 0 && newPos !== currPos) {\n\t\t\t\t\t\t// move it!\n\t\t\t\t\t\ttitles.splice(currPos,1);\n\t\t\t\t\t\tif(newPos >= currPos) {\n\t\t\t\t\t\t\tnewPos--;\n\t\t\t\t\t\t}\n\t\t\t\t\t\ttitles.splice(newPos,0,title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tvar list = this.getTiddlerList(listTitle);\n\tif(!array || array.length === 0) {\n\t\treturn [];\n\t} else {\n\t\tvar titles = [], t, title;\n\t\t// First place any entries that are present in the list\n\t\tfor(t=0; t<list.length; t++) {\n\t\t\ttitle = list[t];\n\t\t\tif(array.indexOf(title) !== -1) {\n\t\t\t\ttitles.push(title);\n\t\t\t}\n\t\t}\n\t\t// Then place any remaining entries\n\t\tfor(t=0; t<array.length; t++) {\n\t\t\ttitle = array[t];\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\ttitles.push(title);\n\t\t\t}\n\t\t}\n\t\t// Finally obey the list-before and list-after fields of each tiddler in turn\n\t\tvar sortedTitles = titles.slice(0);\n\t\tfor(t=0; t<sortedTitles.length; t++) {\n\t\t\ttitle = sortedTitles[t];\n\t\t\tmoveItemInList(title);\n\t\t}\n\t\treturn titles;\n\t}\n};\n\nexports.getSubTiddler = function(title,subTiddlerTitle) {\n\tvar bundleInfo = this.getPluginInfo(title) || this.getTiddlerDataCached(title);\n\tif(bundleInfo && bundleInfo.tiddlers) {\n\t\tvar subTiddler = bundleInfo.tiddlers[subTiddlerTitle];\n\t\tif(subTiddler) {\n\t\t\treturn new $tw.Tiddler(subTiddler);\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRetrieve a tiddler as a JSON string of the fields\n*/\nexports.getTiddlerAsJson = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\tvar fields = Object.create(null);\n\t\t$tw.utils.each(tiddler.fields,function(value,name) {\n\t\t\tfields[name] = tiddler.getFieldString(name);\n\t\t});\n\t\treturn JSON.stringify(fields);\n\t} else {\n\t\treturn JSON.stringify({title: title});\n\t}\n};\n\nexports.getTiddlersAsJson = function(filter,spaces) {\n\tvar tiddlers = this.filterTiddlers(filter),\n\t\tspaces = (spaces === undefined) ? $tw.config.preferences.jsonSpaces : spaces,\n\t\tdata = [];\n\tfor(var t=0;t<tiddlers.length; t++) {\n\t\tvar tiddler = this.getTiddler(tiddlers[t]);\n\t\tif(tiddler) {\n\t\t\tvar fields = new Object();\n\t\t\tfor(var field in tiddler.fields) {\n\t\t\t\tfields[field] = tiddler.getFieldString(field);\n\t\t\t}\n\t\t\tdata.push(fields);\n\t\t}\n\t}\n\treturn JSON.stringify(data,null,spaces);\n};\n\n/*\nGet the content of a tiddler as a JavaScript object. How this is done depends on the type of the tiddler:\n\napplication/json: the tiddler JSON is parsed into an object\napplication/x-tiddler-dictionary: the tiddler is parsed as sequence of name:value pairs\n\nOther types currently just return null.\n\ntitleOrTiddler: string tiddler title or a tiddler object\ndefaultData: default data to be returned if the tiddler is missing or doesn't contain data\n\nNote that the same value is returned for repeated calls for the same tiddler data. The value is frozen to prevent modification; otherwise modifications would be visible to all callers\n*/\nexports.getTiddlerDataCached = function(titleOrTiddler,defaultData) {\n\tvar self = this,\n\t\ttiddler = titleOrTiddler;\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\ttiddler = this.getTiddler(tiddler);\t\n\t}\n\tif(tiddler) {\n\t\treturn this.getCacheForTiddler(tiddler.fields.title,\"data\",function() {\n\t\t\t// Return the frozen value\n\t\t\tvar value = self.getTiddlerData(tiddler.fields.title,undefined);\n\t\t\t$tw.utils.deepFreeze(value);\n\t\t\treturn value;\n\t\t}) || defaultData;\n\t} else {\n\t\treturn defaultData;\n\t}\n};\n\n/*\nAlternative, uncached version of getTiddlerDataCached(). The return value can be mutated freely and reused\n*/\nexports.getTiddlerData = function(titleOrTiddler,defaultData) {\n\tvar tiddler = titleOrTiddler,\n\t\tdata;\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\ttiddler = this.getTiddler(tiddler);\t\n\t}\n\tif(tiddler && tiddler.fields.text) {\n\t\tswitch(tiddler.fields.type) {\n\t\t\tcase \"application/json\":\n\t\t\t\t// JSON tiddler\n\t\t\t\ttry {\n\t\t\t\t\tdata = JSON.parse(tiddler.fields.text);\n\t\t\t\t} catch(ex) {\n\t\t\t\t\treturn defaultData;\n\t\t\t\t}\n\t\t\t\treturn data;\n\t\t\tcase \"application/x-tiddler-dictionary\":\n\t\t\t\treturn $tw.utils.parseFields(tiddler.fields.text);\n\t\t}\n\t}\n\treturn defaultData;\n};\n\n/*\nExtract an indexed field from within a data tiddler\n*/\nexports.extractTiddlerDataItem = function(titleOrTiddler,index,defaultText) {\n\tvar data = this.getTiddlerDataCached(titleOrTiddler,Object.create(null)),\n\t\ttext;\n\tif(data && $tw.utils.hop(data,index)) {\n\t\ttext = data[index];\n\t}\n\tif(typeof text === \"string\" || typeof text === \"number\") {\n\t\treturn text.toString();\n\t} else {\n\t\treturn defaultText;\n\t}\n};\n\n/*\nSet a tiddlers content to a JavaScript object. Currently this is done by setting the tiddler's type to \"application/json\" and setting the text to the JSON text of the data.\ntitle: title of tiddler\ndata: object that can be serialised to JSON\nfields: optional hashmap of additional tiddler fields to be set\n*/\nexports.setTiddlerData = function(title,data,fields) {\n\tvar existingTiddler = this.getTiddler(title),\n\t\tnewFields = {\n\t\t\ttitle: title\n\t};\n\tif(existingTiddler && existingTiddler.fields.type === \"application/x-tiddler-dictionary\") {\n\t\tnewFields.text = $tw.utils.makeTiddlerDictionary(data);\n\t} else {\n\t\tnewFields.type = \"application/json\";\n\t\tnewFields.text = JSON.stringify(data,null,$tw.config.preferences.jsonSpaces);\n\t}\n\tthis.addTiddler(new $tw.Tiddler(this.getCreationFields(),existingTiddler,fields,newFields,this.getModificationFields()));\n};\n\n/*\nReturn the content of a tiddler as an array containing each line\n*/\nexports.getTiddlerList = function(title,field,index) {\n\tif(index) {\n\t\treturn $tw.utils.parseStringArray(this.extractTiddlerDataItem(title,index,\"\"));\n\t}\n\tfield = field || \"list\";\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\treturn ($tw.utils.parseStringArray(tiddler.fields[field]) || []).slice(0);\n\t}\n\treturn [];\n};\n\n// Return a named global cache object. Global cache objects are cleared whenever a tiddler change occurs\nexports.getGlobalCache = function(cacheName,initializer) {\n\tthis.globalCache = this.globalCache || Object.create(null);\n\tif($tw.utils.hop(this.globalCache,cacheName)) {\n\t\treturn this.globalCache[cacheName];\n\t} else {\n\t\tthis.globalCache[cacheName] = initializer();\n\t\treturn this.globalCache[cacheName];\n\t}\n};\n\nexports.clearGlobalCache = function() {\n\tthis.globalCache = Object.create(null);\n};\n\n// Return the named cache object for a tiddler. If the cache doesn't exist then the initializer function is invoked to create it\nexports.getCacheForTiddler = function(title,cacheName,initializer) {\n\tthis.caches = this.caches || Object.create(null);\n\tvar caches = this.caches[title];\n\tif(caches && caches[cacheName]) {\n\t\treturn caches[cacheName];\n\t} else {\n\t\tif(!caches) {\n\t\t\tcaches = Object.create(null);\n\t\t\tthis.caches[title] = caches;\n\t\t}\n\t\tcaches[cacheName] = initializer();\n\t\treturn caches[cacheName];\n\t}\n};\n\n// Clear all caches associated with a particular tiddler, or, if the title is null, clear all the caches for all the tiddlers\nexports.clearCache = function(title) {\n\tif(title) {\n\t\tthis.caches = this.caches || Object.create(null);\n\t\tif($tw.utils.hop(this.caches,title)) {\n\t\t\tdelete this.caches[title];\n\t\t}\n\t} else {\n\t\tthis.caches = Object.create(null);\n\t}\n};\n\nexports.initParsers = function(moduleType) {\n\t// Install the parser modules\n\t$tw.Wiki.parsers = {};\n\tvar self = this;\n\t$tw.modules.forEachModuleOfType(\"parser\",function(title,module) {\n\t\tfor(var f in module) {\n\t\t\tif($tw.utils.hop(module,f)) {\n\t\t\t\t$tw.Wiki.parsers[f] = module[f]; // Store the parser class\n\t\t\t}\n\t\t}\n\t});\n\t// Use the generic binary parser for any binary types not registered so far\n\tif($tw.Wiki.parsers[\"application/octet-stream\"]) {\n\t\tObject.keys($tw.config.contentTypeInfo).forEach(function(type) {\n\t\t\tif(!$tw.utils.hop($tw.Wiki.parsers,type) && $tw.config.contentTypeInfo[type].encoding === \"base64\") {\n\t\t\t\t$tw.Wiki.parsers[type] = $tw.Wiki.parsers[\"application/octet-stream\"];\n\t\t\t}\n\t\t});\t\t\n\t}\n};\n\n/*\nParse a block of text of a specified MIME type\n\ttype: content type of text to be parsed\n\ttext: text\n\toptions: see below\nOptions include:\n\tparseAsInline: if true, the text of the tiddler will be parsed as an inline run\n\t_canonical_uri: optional string of the canonical URI of this content\n*/\nexports.parseText = function(type,text,options) {\n\ttext = text || \"\";\n\toptions = options || {};\n\t// Select a parser\n\tvar Parser = $tw.Wiki.parsers[type];\n\tif(!Parser && $tw.utils.getFileExtensionInfo(type)) {\n\t\tParser = $tw.Wiki.parsers[$tw.utils.getFileExtensionInfo(type).type];\n\t}\n\tif(!Parser) {\n\t\tParser = $tw.Wiki.parsers[options.defaultType || \"text/vnd.tiddlywiki\"];\n\t}\n\tif(!Parser) {\n\t\treturn null;\n\t}\n\t// Return the parser instance\n\treturn new Parser(type,text,{\n\t\tparseAsInline: options.parseAsInline,\n\t\twiki: this,\n\t\t_canonical_uri: options._canonical_uri\n\t});\n};\n\n/*\nParse a tiddler according to its MIME type\n*/\nexports.parseTiddler = function(title,options) {\n\toptions = $tw.utils.extend({},options);\n\tvar cacheType = options.parseAsInline ? \"inlineParseTree\" : \"blockParseTree\",\n\t\ttiddler = this.getTiddler(title),\n\t\tself = this;\n\treturn tiddler ? this.getCacheForTiddler(title,cacheType,function() {\n\t\t\tif(tiddler.hasField(\"_canonical_uri\")) {\n\t\t\t\toptions._canonical_uri = tiddler.fields._canonical_uri;\n\t\t\t}\n\t\t\treturn self.parseText(tiddler.fields.type,tiddler.fields.text,options);\n\t\t}) : null;\n};\n\nexports.parseTextReference = function(title,field,index,options) {\n\tvar tiddler,text;\n\tif(options.subTiddler) {\n\t\ttiddler = this.getSubTiddler(title,options.subTiddler);\n\t} else {\n\t\ttiddler = this.getTiddler(title);\n\t\tif(field === \"text\" || (!field && !index)) {\n\t\t\tthis.getTiddlerText(title); // Force the tiddler to be lazily loaded\n\t\t\treturn this.parseTiddler(title,options);\n\t\t}\n\t}\n\tif(field === \"text\" || (!field && !index)) {\n\t\tif(tiddler && tiddler.fields) {\n\t\t\treturn this.parseText(tiddler.fields.type,tiddler.fields.text,options);\t\t\t\n\t\t} else {\n\t\t\treturn null;\n\t\t}\n\t} else if(field) {\n\t\tif(field === \"title\") {\n\t\t\ttext = title;\n\t\t} else {\n\t\t\tif(!tiddler || !tiddler.hasField(field)) {\n\t\t\t\treturn null;\n\t\t\t}\n\t\t\ttext = tiddler.fields[field];\n\t\t}\n\t\treturn this.parseText(\"text/vnd.tiddlywiki\",text.toString(),options);\n\t} else if(index) {\n\t\tthis.getTiddlerText(title); // Force the tiddler to be lazily loaded\n\t\ttext = this.extractTiddlerDataItem(tiddler,index,undefined);\n\t\tif(text === undefined) {\n\t\t\treturn null;\n\t\t}\n\t\treturn this.parseText(\"text/vnd.tiddlywiki\",text,options);\n\t}\n};\n\n/*\nMake a widget tree for a parse tree\nparser: parser object\noptions: see below\nOptions include:\ndocument: optional document to use\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.makeWidget = function(parser,options) {\n\toptions = options || {};\n\tvar widgetNode = {\n\t\t\ttype: \"widget\",\n\t\t\tchildren: []\n\t\t},\n\t\tcurrWidgetNode = widgetNode;\n\t// Create set variable widgets for each variable\n\t$tw.utils.each(options.variables,function(value,name) {\n\t\tvar setVariableWidget = {\n\t\t\ttype: \"set\",\n\t\t\tattributes: {\n\t\t\t\tname: {type: \"string\", value: name},\n\t\t\t\tvalue: {type: \"string\", value: value}\n\t\t\t},\n\t\t\tchildren: []\n\t\t};\n\t\tcurrWidgetNode.children = [setVariableWidget];\n\t\tcurrWidgetNode = setVariableWidget;\n\t});\n\t// Add in the supplied parse tree nodes\n\tcurrWidgetNode.children = parser ? parser.tree : [];\n\t// Create the widget\n\treturn new widget.widget(widgetNode,{\n\t\twiki: this,\n\t\tdocument: options.document || $tw.fakeDocument,\n\t\tparentWidget: options.parentWidget\n\t});\n};\n\n/*\nMake a widget tree for transclusion\ntitle: target tiddler title\noptions: as for wiki.makeWidget() plus:\noptions.field: optional field to transclude (defaults to \"text\")\noptions.mode: transclusion mode \"inline\" or \"block\"\noptions.recursionMarker : optional flag to set a recursion marker, defaults to \"yes\"\noptions.children: optional array of children for the transclude widget\noptions.importVariables: optional importvariables filter string for macros to be included\noptions.importPageMacros: optional boolean; if true, equivalent to passing \"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\" to options.importVariables\n*/\nexports.makeTranscludeWidget = function(title,options) {\n\toptions = options || {};\n\tvar parseTreeDiv = {tree: [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"div\",\n\t\t\tchildren: []}]},\n\t\tparseTreeImportVariables = {\n\t\t\ttype: \"importvariables\",\n\t\t\tattributes: {\n\t\t\t\tfilter: {\n\t\t\t\t\tname: \"filter\",\n\t\t\t\t\ttype: \"string\"\n\t\t\t\t}\n\t\t\t},\n\t\t\tisBlock: false,\n\t\t\tchildren: []},\n\t\tparseTreeTransclude = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\trecursionMarker: {\n\t\t\t\t\tname: \"recursionMarker\",\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: options.recursionMarker || \"yes\"\n\t\t\t\t\t},\n\t\t\t\ttiddler: {\n\t\t\t\t\tname: \"tiddler\",\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: title\n\t\t\t\t}\n\t\t\t},\n\t\t\tisBlock: !options.parseAsInline};\n\tif(options.importVariables || options.importPageMacros) {\n\t\tif(options.importVariables) {\n\t\t\tparseTreeImportVariables.attributes.filter.value = options.importVariables;\n\t\t} else if(options.importPageMacros) {\n\t\t\tparseTreeImportVariables.attributes.filter.value = \"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\";\n\t\t}\n\t\tparseTreeDiv.tree[0].children.push(parseTreeImportVariables);\n\t\tparseTreeImportVariables.children.push(parseTreeTransclude);\n\t} else {\n\t\tparseTreeDiv.tree[0].children.push(parseTreeTransclude);\n\t}\n\tif(options.field) {\n\t\tparseTreeTransclude.attributes.field = {type: \"string\", value: options.field};\n\t}\n\tif(options.mode) {\n\t\tparseTreeTransclude.attributes.mode = {type: \"string\", value: options.mode};\n\t}\n\tif(options.children) {\n\t\tparseTreeTransclude.children = options.children;\n\t}\n\treturn this.makeWidget(parseTreeDiv,options);\n};\n\n/*\nParse text in a specified format and render it into another format\n\toutputType: content type for the output\n\ttextType: content type of the input text\n\ttext: input text\n\toptions: see below\nOptions include:\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.renderText = function(outputType,textType,text,options) {\n\toptions = options || {};\n\tvar parser = this.parseText(textType,text,options),\n\t\twidgetNode = this.makeWidget(parser,options);\n\tvar container = $tw.fakeDocument.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn outputType === \"text/html\" ? container.innerHTML : container.textContent;\n};\n\n/*\nParse text from a tiddler and render it into another format\n\toutputType: content type for the output\n\ttitle: title of the tiddler to be rendered\n\toptions: see below\nOptions include:\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.renderTiddler = function(outputType,title,options) {\n\toptions = options || {};\n\tvar parser = this.parseTiddler(title,options),\n\t\twidgetNode = this.makeWidget(parser,options);\n\tvar container = $tw.fakeDocument.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn outputType === \"text/html\" ? container.innerHTML : (outputType === \"text/plain-formatted\" ? container.formattedTextContent : container.textContent);\n};\n\n/*\nReturn an array of tiddler titles that match a search string\n\ttext: The text string to search for\n\toptions: see below\nOptions available:\n\tsource: an iterator function for the source tiddlers, called source(iterator), where iterator is called as iterator(tiddler,title)\n\texclude: An array of tiddler titles to exclude from the search\n\tinvert: If true returns tiddlers that do not contain the specified string\n\tcaseSensitive: If true forces a case sensitive search\n\tfield: If specified, restricts the search to the specified field, or an array of field names\n\tanchored: If true, forces all but regexp searches to be anchored to the start of text\n\texcludeField: If true, the field options are inverted to specify the fields that are not to be searched\n\tThe search mode is determined by the first of these boolean flags to be true\n\t\tliteral: searches for literal string\n\t\twhitespace: same as literal except runs of whitespace are treated as a single space\n\t\tregexp: treats the search term as a regular expression\n\t\twords: (default) treats search string as a list of tokens, and matches if all tokens are found, regardless of adjacency or ordering\n*/\nexports.search = function(text,options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tt,\n\t\tinvert = !!options.invert;\n\t// Convert the search string into a regexp for each term\n\tvar terms, searchTermsRegExps,\n\t\tflags = options.caseSensitive ? \"\" : \"i\",\n\t\tanchor = options.anchored ? \"^\" : \"\";\n\tif(options.literal) {\n\t\tif(text.length === 0) {\n\t\t\tsearchTermsRegExps = null;\n\t\t} else {\n\t\t\tsearchTermsRegExps = [new RegExp(\"(\" + anchor + $tw.utils.escapeRegExp(text) + \")\",flags)];\n\t\t}\n\t} else if(options.whitespace) {\n\t\tterms = [];\n\t\t$tw.utils.each(text.split(/\\s+/g),function(term) {\n\t\t\tif(term) {\n\t\t\t\tterms.push($tw.utils.escapeRegExp(term));\n\t\t\t}\n\t\t});\n\t\tsearchTermsRegExps = [new RegExp(\"(\" + anchor + terms.join(\"\\\\s+\") + \")\",flags)];\n\t} else if(options.regexp) {\n\t\ttry {\n\t\t\tsearchTermsRegExps = [new RegExp(\"(\" + text + \")\",flags)];\t\t\t\n\t\t} catch(e) {\n\t\t\tsearchTermsRegExps = null;\n\t\t\tconsole.log(\"Regexp error parsing /(\" + text + \")/\" + flags + \": \",e);\n\t\t}\n\t} else {\n\t\tterms = text.split(/ +/);\n\t\tif(terms.length === 1 && terms[0] === \"\") {\n\t\t\tsearchTermsRegExps = null;\n\t\t} else {\n\t\t\tsearchTermsRegExps = [];\n\t\t\tfor(t=0; t<terms.length; t++) {\n\t\t\t\tsearchTermsRegExps.push(new RegExp(\"(\" + anchor + $tw.utils.escapeRegExp(terms[t]) + \")\",flags));\n\t\t\t}\n\t\t}\n\t}\n\t// Accumulate the array of fields to be searched or excluded from the search\n\tvar fields = [];\n\tif(options.field) {\n\t\tif($tw.utils.isArray(options.field)) {\n\t\t\t$tw.utils.each(options.field,function(fieldName) {\n\t\t\t\tif(fieldName) {\n\t\t\t\t\tfields.push(fieldName);\t\t\t\t\t\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tfields.push(options.field);\n\t\t}\n\t}\n\t// Use default fields if none specified and we're not excluding fields (excluding fields with an empty field array is the same as searching all fields)\n\tif(fields.length === 0 && !options.excludeField) {\n\t\tfields.push(\"title\");\n\t\tfields.push(\"tags\");\n\t\tfields.push(\"text\");\n\t}\n\t// Function to check a given tiddler for the search term\n\tvar searchTiddler = function(title) {\n\t\tif(!searchTermsRegExps) {\n\t\t\treturn true;\n\t\t}\n\t\tvar notYetFound = searchTermsRegExps.slice();\n\n\t\tvar tiddler = self.getTiddler(title);\n\t\tif(!tiddler) {\n\t\t\ttiddler = new $tw.Tiddler({title: title, text: \"\", type: \"text/vnd.tiddlywiki\"});\n\t\t}\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type] || $tw.config.contentTypeInfo[\"text/vnd.tiddlywiki\"],\n\t\t\tsearchFields;\n\t\t// Get the list of fields we're searching\n\t\tif(options.excludeField) {\n\t\t\tsearchFields = Object.keys(tiddler.fields);\n\t\t\t$tw.utils.each(fields,function(fieldName) {\n\t\t\t\tvar p = searchFields.indexOf(fieldName);\n\t\t\t\tif(p !== -1) {\n\t\t\t\t\tsearchFields.splice(p,1);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsearchFields = fields;\n\t\t}\n\t\tfor(var fieldIndex=0; notYetFound.length>0 && fieldIndex<searchFields.length; fieldIndex++) {\n\t\t\t// Don't search the text field if the content type is binary\n\t\t\tvar fieldName = searchFields[fieldIndex];\n\t\t\tif(fieldName === \"text\" && contentTypeInfo.encoding !== \"utf8\") {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\tvar str = tiddler.fields[fieldName],\n\t\t\t\tt;\n\t\t\tif(str) {\n\t\t\t\tif($tw.utils.isArray(str)) {\n\t\t\t\t\t// If the field value is an array, test each regexp against each field array entry and fail if each regexp doesn't match at least one field array entry\n\t\t\t\t\tfor(var s=0; s<str.length; s++) {\n\t\t\t\t\t\tfor(t=0; t<notYetFound.length;) {\n\t\t\t\t\t\t\tif(notYetFound[t].test(str[s])) {\n\t\t\t\t\t\t\t\tnotYetFound.splice(t, 1);\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tt++;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// If the field isn't an array, force it to a string and test each regexp against it and fail if any do not match\n\t\t\t\t\tstr = tiddler.getFieldString(fieldName);\n\t\t\t\t\tfor(t=0; t<notYetFound.length;) {\n\t\t\t\t\t\tif(notYetFound[t].test(str)) {\n\t\t\t\t\t\t\tnotYetFound.splice(t, 1);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tt++;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t\treturn notYetFound.length == 0;\n\t};\n\t// Loop through all the tiddlers doing the search\n\tvar results = [],\n\t\tsource = options.source || this.each;\n\tsource(function(tiddler,title) {\n\t\tif(searchTiddler(title) !== options.invert) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\t// Remove any of the results we have to exclude\n\tif(options.exclude) {\n\t\tfor(t=0; t<options.exclude.length; t++) {\n\t\t\tvar p = results.indexOf(options.exclude[t]);\n\t\t\tif(p !== -1) {\n\t\t\t\tresults.splice(p,1);\n\t\t\t}\n\t\t}\n\t}\n\treturn results;\n};\n\n/*\nTrigger a load for a tiddler if it is skinny. Returns the text, or undefined if the tiddler is missing, null if the tiddler is being lazily loaded.\n*/\nexports.getTiddlerText = function(title,defaultText) {\n\tvar tiddler = this.getTiddler(title);\n\t// Return undefined if the tiddler isn't found\n\tif(!tiddler) {\n\t\treturn defaultText;\n\t}\n\tif(!tiddler.hasField(\"_is_skinny\")) {\n\t\t// Just return the text if we've got it\n\t\treturn tiddler.fields.text || \"\";\n\t} else {\n\t\t// Tell any listeners about the need to lazily load this tiddler\n\t\tthis.dispatchEvent(\"lazyLoad\",title);\n\t\t// Indicate that the text is being loaded\n\t\treturn null;\n\t}\n};\n\n/*\nCheck whether the text of a tiddler matches a given value. By default, the comparison is case insensitive, and any spaces at either end of the tiddler text is trimmed\n*/\nexports.checkTiddlerText = function(title,targetText,options) {\n\toptions = options || {};\n\tvar text = this.getTiddlerText(title,\"\");\n\tif(!options.noTrim) {\n\t\ttext = text.trim();\n\t}\n\tif(!options.caseSensitive) {\n\t\ttext = text.toLowerCase();\n\t\ttargetText = targetText.toLowerCase();\n\t}\n\treturn text === targetText;\n}\n\n/*\nRead an array of browser File objects, invoking callback(tiddlerFieldsArray) once they're all read\n*/\nexports.readFiles = function(files,options) {\n\tvar callback;\n\tif(typeof options === \"function\") {\n\t\tcallback = options;\n\t\toptions = {};\n\t} else {\n\t\tcallback = options.callback;\n\t}\n\tvar result = [],\n\t\toutstanding = files.length,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tresult.push.apply(result,tiddlerFieldsArray);\n\t\t\tif(--outstanding === 0) {\n\t\t\t\tcallback(result);\n\t\t\t}\n\t\t};\n\tfor(var f=0; f<files.length; f++) {\n\t\tthis.readFile(files[f],$tw.utils.extend({},options,{callback: readFileCallback}));\n\t}\n\treturn files.length;\n};\n\n/*\nRead a browser File object, invoking callback(tiddlerFieldsArray) with an array of tiddler fields objects\n*/\nexports.readFile = function(file,options) {\n\tvar callback;\n\tif(typeof options === \"function\") {\n\t\tcallback = options;\n\t\toptions = {};\n\t} else {\n\t\tcallback = options.callback;\n\t}\n\t// Get the type, falling back to the filename extension\n\tvar self = this,\n\t\ttype = file.type;\n\tif(type === \"\" || !type) {\n\t\tvar dotPos = file.name.lastIndexOf(\".\");\n\t\tif(dotPos !== -1) {\n\t\t\tvar fileExtensionInfo = $tw.utils.getFileExtensionInfo(file.name.substr(dotPos));\n\t\t\tif(fileExtensionInfo) {\n\t\t\t\ttype = fileExtensionInfo.type;\n\t\t\t}\n\t\t}\n\t}\n\t// Figure out if we're reading a binary file\n\tvar contentTypeInfo = $tw.config.contentTypeInfo[type],\n\t\tisBinary = contentTypeInfo ? contentTypeInfo.encoding === \"base64\" : false;\n\t// Log some debugging information\n\tif($tw.log.IMPORT) {\n\t\tconsole.log(\"Importing file '\" + file.name + \"', type: '\" + type + \"', isBinary: \" + isBinary);\n\t}\n\t// Give the hook a chance to process the drag\n\tif($tw.hooks.invokeHook(\"th-importing-file\",{\n\t\tfile: file,\n\t\ttype: type,\n\t\tisBinary: isBinary,\n\t\tcallback: callback\n\t}) !== true) {\n\t\tthis.readFileContent(file,type,isBinary,options.deserializer,callback);\n\t}\n};\n\n/*\nLower level utility to read the content of a browser File object, invoking callback(tiddlerFieldsArray) with an array of tiddler fields objects\n*/\nexports.readFileContent = function(file,type,isBinary,deserializer,callback) {\n\tvar self = this;\n\t// Create the FileReader\n\tvar reader = new FileReader();\n\t// Onload\n\treader.onload = function(event) {\n\t\tvar text = event.target.result,\n\t\t\ttiddlerFields = {title: file.name || \"Untitled\"};\n\t\tif(isBinary) {\n\t\t\tvar commaPos = text.indexOf(\",\");\n\t\t\tif(commaPos !== -1) {\n\t\t\t\ttext = text.substr(commaPos + 1);\n\t\t\t}\n\t\t}\n\t\t// Check whether this is an encrypted TiddlyWiki file\n\t\tvar encryptedJson = $tw.utils.extractEncryptedStoreArea(text);\n\t\tif(encryptedJson) {\n\t\t\t// If so, attempt to decrypt it with the current password\n\t\t\t$tw.utils.decryptStoreAreaInteractive(encryptedJson,function(tiddlers) {\n\t\t\t\tcallback(tiddlers);\n\t\t\t});\n\t\t} else {\n\t\t\t// Otherwise, just try to deserialise any tiddlers in the file\n\t\t\tcallback(self.deserializeTiddlers(type,text,tiddlerFields,{deserializer: deserializer}));\n\t\t}\n\t};\n\t// Kick off the read\n\tif(isBinary) {\n\t\treader.readAsDataURL(file);\n\t} else {\n\t\treader.readAsText(file);\n\t}\n};\n\n/*\nFind any existing draft of a specified tiddler\n*/\nexports.findDraft = function(targetTitle) {\n\tvar draftTitle = undefined;\n\tthis.forEachTiddler({includeSystem: true},function(title,tiddler) {\n\t\tif(tiddler.fields[\"draft.title\"] && tiddler.fields[\"draft.of\"] === targetTitle) {\n\t\t\tdraftTitle = title;\n\t\t}\n\t});\n\treturn draftTitle;\n}\n\n/*\nCheck whether the specified draft tiddler has been modified.\nIf the original tiddler doesn't exist, create  a vanilla tiddler variable,\nto check if additional fields have been added.\n*/\nexports.isDraftModified = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(!tiddler.isDraft()) {\n\t\treturn false;\n\t}\n\tvar ignoredFields = [\"created\", \"modified\", \"title\", \"draft.title\", \"draft.of\"],\n\t\torigTiddler = this.getTiddler(tiddler.fields[\"draft.of\"]) || new $tw.Tiddler({text:\"\", tags:[]}),\n\t\ttitleModified = tiddler.fields[\"draft.title\"] !== tiddler.fields[\"draft.of\"];\n\treturn titleModified || !tiddler.isEqual(origTiddler,ignoredFields);\n};\n\n/*\nAdd a new record to the top of the history stack\ntitle: a title string or an array of title strings\nfromPageRect: page coordinates of the origin of the navigation\nhistoryTitle: title of history tiddler (defaults to $:/HistoryList)\n*/\nexports.addToHistory = function(title,fromPageRect,historyTitle) {\n\tvar story = new $tw.Story({wiki: this, historyTitle: historyTitle});\n\tstory.addToHistory(title,fromPageRect);\t\n\tconsole.log(\"$tw.wiki.addToHistory() is deprecated since V5.1.23! Use the this.story.addToHistory() from the story-object!\")\n};\n\n/*\nAdd a new tiddler to the story river\ntitle: a title string or an array of title strings\nfromTitle: the title of the tiddler from which the navigation originated\nstoryTitle: title of story tiddler (defaults to $:/StoryList)\noptions: see story.js\n*/\nexports.addToStory = function(title,fromTitle,storyTitle,options) {\n\tvar story = new $tw.Story({wiki: this, storyTitle: storyTitle});\n\tstory.addToStory(title,fromTitle,options);\n\tconsole.log(\"$tw.wiki.addToStory() is deprecated since V5.1.23! Use the this.story.addToStory() from the story-object!\")\n};\n\n/*\nGenerate a title for the draft of a given tiddler\n*/\nexports.generateDraftTitle = function(title) {\n\tvar c = 0,\n\t\tdraftTitle,\n\t\tusername = this.getTiddlerText(\"$:/status/UserName\"),\n\t\tattribution = username ? \" by \" + username : \"\";\n\tdo {\n\t\tdraftTitle = \"Draft \" + (c ? (c + 1) + \" \" : \"\") + \"of '\" + title + \"'\" + attribution;\n\t\tc++;\n\t} while(this.tiddlerExists(draftTitle));\n\treturn draftTitle;\n};\n\n/*\nInvoke the available upgrader modules\ntitles: array of tiddler titles to be processed\ntiddlers: hashmap by title of tiddler fields of pending import tiddlers. These can be modified by the upgraders. An entry with no fields indicates a tiddler that was pending import has been suppressed. When entries are added to the pending import the tiddlers hashmap may have entries that are not present in the titles array\nReturns a hashmap of messages keyed by tiddler title.\n*/\nexports.invokeUpgraders = function(titles,tiddlers) {\n\t// Collect up the available upgrader modules\n\tvar self = this;\n\tif(!this.upgraderModules) {\n\t\tthis.upgraderModules = [];\n\t\t$tw.modules.forEachModuleOfType(\"upgrader\",function(title,module) {\n\t\t\tif(module.upgrade) {\n\t\t\t\tself.upgraderModules.push(module);\n\t\t\t}\n\t\t});\n\t}\n\t// Invoke each upgrader in turn\n\tvar messages = {};\n\tfor(var t=0; t<this.upgraderModules.length; t++) {\n\t\tvar upgrader = this.upgraderModules[t],\n\t\t\tupgraderMessages = upgrader.upgrade(this,titles,tiddlers);\n\t\t$tw.utils.extend(messages,upgraderMessages);\n\t}\n\treturn messages;\n};\n\n// Determine whether a plugin by title is dynamically loadable\nexports.doesPluginRequireReload = function(title) {\n\treturn this.doesPluginInfoRequireReload(this.getPluginInfo(title) || this.getTiddlerDataCached(title));\n};\n\n// Determine whether a plugin info structure is dynamically loadable\nexports.doesPluginInfoRequireReload = function(pluginInfo) {\n\tif(pluginInfo) {\n\t\tvar foundModule = false;\n\t\t$tw.utils.each(pluginInfo.tiddlers,function(tiddler) {\n\t\t\tif(tiddler.type === \"application/javascript\" && $tw.utils.hop(tiddler,\"module-type\")) {\n\t\t\t\tfoundModule = true;\n\t\t\t}\n\t\t});\n\t\treturn foundModule;\n\t} else {\n\t\treturn null;\n\t}\n};\n\nexports.slugify = function(title,options) {\n\tvar tiddler = this.getTiddler(title),\n\t\tslug;\n\tif(tiddler && tiddler.fields.slug) {\n\t\tslug = tiddler.fields.slug;\n\t} else {\n\t\tslug = $tw.utils.transliterate(title.toString().toLowerCase()) // Replace diacritics with basic lowercase ASCII\n\t\t\t.replace(/\\s+/g,\"-\")                                       // Replace spaces with -\n\t\t\t.replace(/[^\\w\\-\\.]+/g,\"\")                                 // Remove all non-word chars except dash and dot\n\t\t\t.replace(/\\-\\-+/g,\"-\")                                     // Replace multiple - with single -\n\t\t\t.replace(/^-+/,\"\")                                         // Trim - from start of text\n\t\t\t.replace(/-+$/,\"\");                                        // Trim - from end of text\n\t}\n\t// If the resulting slug is blank (eg because the title is just punctuation characters)\n\tif(!slug) {\n\t\t// ...then just use the character codes of the title\n\t\tvar result = [];\n\t\t$tw.utils.each(title.split(\"\"),function(char) {\n\t\t\tresult.push(char.charCodeAt(0).toString());\n\t\t});\n\t\tslug = result.join(\"-\");\n\t}\n\treturn slug;\n};\n\n})();\n\n",
            "type": "application/javascript",
            "module-type": "wikimethod"
        },
        "$:/palettes/Blanca": {
            "title": "$:/palettes/Blanca",
            "name": "Blanca",
            "description": "A clean white palette to let you focus",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #66cccc\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #ffffff\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #7897f3\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ccc\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #ffffff\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #7897f3\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #eeeeee\ntab-border-selected: #cccccc\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ffeedd\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: #eee\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #ff9900\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
        },
        "$:/palettes/Blue": {
            "title": "$:/palettes/Blue",
            "name": "Blue",
            "description": "A blue theme",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #fff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333353\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #ddddff\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ffffff\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #5959c0\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: #ccccdd\ntab-border-selected: #ccccdd\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #eeeeff\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #666666\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #ffffff\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #ffffff\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #5959c0\ntoolbar-new-button: #5eb95e\ntoolbar-options-button: rgb(128, 88, 165)\ntoolbar-save-button: #0e90d2\ntoolbar-info-button: #0e90d2\ntoolbar-edit-button: rgb(243, 123, 29)\ntoolbar-close-button: #dd514c\ntoolbar-delete-button: #dd514c\ntoolbar-cancel-button: rgb(243, 123, 29)\ntoolbar-done-button: #5eb95e\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
        },
        "$:/palettes/Muted": {
            "title": "$:/palettes/Muted",
            "name": "Muted",
            "description": "Bright tiddlers on a muted background",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #bbb\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #6f6f70\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #29a6ee\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #c2c1c2\nsidebar-foreground-shadow: rgba(255,255,255,0)\nsidebar-foreground: #d3d2d4\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #6f6f70\nsidebar-tab-background: #666667\nsidebar-tab-border-selected: #999\nsidebar-tab-border: #515151\nsidebar-tab-divider: #999\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: #999\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #d1d0d2\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #d5ad34\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
        },
        "$:/palettes/ContrastLight": {
            "title": "$:/palettes/ContrastLight",
            "name": "Contrast (Light)",
            "description": "High contrast and unambiguous (light version)",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "text": "alert-background: #f00\nalert-border: <<colour background>>\nalert-highlight: <<colour foreground>>\nalert-muted-foreground: #800\nbackground: #fff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: <<colour background>>\nbutton-foreground: <<colour foreground>>\nbutton-border: <<colour foreground>>\ncode-background: <<colour background>>\ncode-border: <<colour foreground>>\ncode-foreground: <<colour foreground>>\ndirty-indicator: #f00\ndownload-background: #080\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: <<colour foreground>>\ndropdown-tab-background: <<colour foreground>>\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #00a\nexternal-link-foreground: #00e\nforeground: #000\nmessage-background: <<colour foreground>>\nmessage-border: <<colour background>>\nmessage-foreground: <<colour background>>\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour foreground>>\nmodal-header-border: <<colour foreground>>\nmuted-foreground: <<colour foreground>>\nnotification-background: <<colour background>>\nnotification-border: <<colour foreground>>\npage-background: <<colour background>>\npre-background: <<colour background>>\npre-border: <<colour foreground>>\nprimary: #00f\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: <<colour background>>\nsidebar-controls-foreground: <<colour foreground>>\nsidebar-foreground-shadow: rgba(0,0,0, 0)\nsidebar-foreground: <<colour foreground>>\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: <<colour foreground>>\nsidebar-tab-background-selected: <<colour background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: <<colour foreground>>\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: <<colour foreground>>\nsidebar-tiddler-link-foreground: <<colour primary>>\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: <<colour foreground>>\ntab-border-selected: <<colour foreground>>\ntab-border: <<colour foreground>>\ntab-divider: <<colour foreground>>\ntab-foreground-selected: <<colour foreground>>\ntab-foreground: <<colour background>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #000\ntag-foreground: #fff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour foreground>>\ntiddler-controls-foreground-hover: #ddd\ntiddler-controls-foreground-selected: #fdd\ntiddler-controls-foreground: <<colour foreground>>\ntiddler-editor-background: <<colour background>>\ntiddler-editor-border-image: <<colour foreground>>\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: <<colour background>>\ntiddler-editor-fields-odd: <<colour background>>\ntiddler-info-background: <<colour background>>\ntiddler-info-border: <<colour foreground>>\ntiddler-info-tab-background: <<colour background>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour foreground>>\ntiddler-title-foreground: <<colour foreground>>\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour foreground>>\nvery-muted-foreground: #888888\n"
        },
        "$:/palettes/ContrastDark": {
            "title": "$:/palettes/ContrastDark",
            "name": "Contrast (Dark)",
            "description": "High contrast and unambiguous (dark version)",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "text": "alert-background: #f00\nalert-border: <<colour background>>\nalert-highlight: <<colour foreground>>\nalert-muted-foreground: #800\nbackground: #000\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: <<colour background>>\nbutton-foreground: <<colour foreground>>\nbutton-border: <<colour foreground>>\ncode-background: <<colour background>>\ncode-border: <<colour foreground>>\ncode-foreground: <<colour foreground>>\ndirty-indicator: #f00\ndownload-background: #080\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: <<colour foreground>>\ndropdown-tab-background: <<colour foreground>>\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #00a\nexternal-link-foreground: #00e\nforeground: #fff\nmessage-background: <<colour foreground>>\nmessage-border: <<colour background>>\nmessage-foreground: <<colour background>>\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour foreground>>\nmodal-header-border: <<colour foreground>>\nmuted-foreground: <<colour foreground>>\nnotification-background: <<colour background>>\nnotification-border: <<colour foreground>>\npage-background: <<colour background>>\npre-background: <<colour background>>\npre-border: <<colour foreground>>\nprimary: #00f\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: <<colour background>>\nsidebar-controls-foreground: <<colour foreground>>\nsidebar-foreground-shadow: rgba(0,0,0, 0)\nsidebar-foreground: <<colour foreground>>\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: <<colour foreground>>\nsidebar-tab-background-selected: <<colour background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: <<colour foreground>>\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: <<colour foreground>>\nsidebar-tiddler-link-foreground: <<colour primary>>\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: <<colour foreground>>\ntab-border-selected: <<colour foreground>>\ntab-border: <<colour foreground>>\ntab-divider: <<colour foreground>>\ntab-foreground-selected: <<colour foreground>>\ntab-foreground: <<colour background>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #fff\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour foreground>>\ntiddler-controls-foreground-hover: #ddd\ntiddler-controls-foreground-selected: #fdd\ntiddler-controls-foreground: <<colour foreground>>\ntiddler-editor-background: <<colour background>>\ntiddler-editor-border-image: <<colour foreground>>\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: <<colour background>>\ntiddler-editor-fields-odd: <<colour background>>\ntiddler-info-background: <<colour background>>\ntiddler-info-border: <<colour foreground>>\ntiddler-info-tab-background: <<colour background>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour foreground>>\ntiddler-title-foreground: <<colour foreground>>\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour foreground>>\nvery-muted-foreground: #888888\n"
        },
        "$:/palettes/CupertinoDark": {
            "title": "$:/palettes/CupertinoDark",
            "tags": "$:/tags/Palette",
            "name": "Cupertino Dark",
            "description": "A macOS inspired dark palette",
            "type": "application/x-tiddler-dictionary",
            "text": "alert-background: #FF453A\nalert-border: #FF453A\nalert-highlight: #FFD60A\nalert-muted-foreground: <<colour muted-foreground>>\nbackground: #282828\nblockquote-bar: <<colour page-background>>\nbutton-foreground: <<colour background>>\ncode-background: <<colour pre-background>>\ncode-border: <<colour pre-border>>\ncode-foreground: rgba(255, 255, 255, 0.54)\ndirty-indicator: #FF453A\ndownload-background: <<colour primary>>\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour tiddler-info-background>>\ndropdown-border: <<colour dropdown-background>>\ndropdown-tab-background-selected: #3F638B\ndropdown-tab-background: #323232\ndropzone-background: #30D158\nexternal-link-background-hover: transparent\nexternal-link-background-visited: transparent\nexternal-link-background: transparent\nexternal-link-foreground-hover: \nexternal-link-foreground-visited: #BF5AF2\nexternal-link-foreground: #32D74B\nforeground: #FFFFFF\nmenubar-background: #464646\nmenubar-foreground: #ffffff\nmessage-background: <<colour background>>\nmessage-border: <<colour very-muted-foreground>>\nmessage-foreground: rgba(255, 255, 255, 0.54)\nmodal-backdrop: <<colour page-background>>\nmodal-background: <<colour background>>\nmodal-border: <<colour very-muted-foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour background>>\nmodal-header-border: <<colour very-muted-foreground>>\nmuted-foreground: #98989D\nnotification-background: <<colour dropdown-background>>\nnotification-border: <<colour dropdown-background>>\npage-background: #323232\npre-background: #464646\npre-border: transparent\nprimary: #0A84FF\nselect-tag-background: <<colour background>>\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour background>>\nsidebar-controls-foreground-hover: #FF9F0A\nsidebar-controls-foreground: #8E8E93\nsidebar-foreground-shadow: transparent\nsidebar-foreground: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground-hover: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground: rgba(255, 255, 255, 0.38)\nsidebar-tab-background-selected: #3F638B\nsidebar-tab-background: <<colour background>>\nsidebar-tab-border-selected: <<colour background>>\nsidebar-tab-border: <<colour background>>\nsidebar-tab-divider: <<colour background>>\nsidebar-tab-foreground-selected: rgba(255, 255, 255, 0.87)\nsidebar-tab-foreground: rgba(255, 255, 255, 0.54)\nsidebar-tiddler-link-foreground-hover: rgba(255, 255, 255, 0.7)\nsidebar-tiddler-link-foreground: rgba(255, 255, 255, 0.54)\nsite-title-foreground: #ffffff\nstatic-alert-foreground: #B4B4B4\ntab-background-selected: #3F638B\ntab-background: <<colour page-background>>\ntab-border-selected: <<colour page-background>>\ntab-border: <<colour page-background>>\ntab-divider: <<colour page-background>>\ntab-foreground-selected: rgba(255, 255, 255, 0.87)\ntab-foreground: rgba(255, 255, 255, 0.54)\ntable-border: #464646\ntable-footer-background: <<colour tiddler-editor-fields-odd>>\ntable-header-background: <<colour tiddler-editor-fields-even>>\ntag-background: #48484A\ntag-foreground: #323232\ntiddler-background: <<colour background>>\ntiddler-border: transparent\ntiddler-controls-foreground-hover: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground-selected: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground: #48484A\ntiddler-editor-background: transparent\ntiddler-editor-border-image: \ntiddler-editor-border: rgba(255, 255, 255, 0.08)\ntiddler-editor-fields-even: rgba(255, 255, 255, 0.1)\ntiddler-editor-fields-odd: rgba(255, 255, 255, 0.04)\ntiddler-info-background: #1E1E1E\ntiddler-info-border: #1E1E1E\ntiddler-info-tab-background: #3F638B\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour muted-foreground>>\ntiddler-title-foreground: #FFFFFF\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour very-muted-foreground>>\nvery-muted-foreground: #464646\nselection-background: #3F638B\nselection-foreground: #ffffff\nwikilist-background: <<colour page-background>>\nwikilist-button-background: #3F638B\nwikilist-button-foreground: <<colour foreground>>\nwikilist-button-open: #32D74B\nwikilist-button-open-hover: #32D74B\nwikilist-button-reveal: #0A84FF\nwikilist-button-reveal-hover: #0A84FF\nwikilist-button-remove: #FF453A\nwikilist-button-remove-hover: #FF453A\nwikilist-droplink-dragover: #32D74B\nwikilist-item: <<colour background>>\nwikilist-toolbar-background: <<colour background>>\nwikilist-title: <<colour foreground>>\nwikilist-title-svg: <<colour foreground>>\nwikilist-toolbar-foreground: <<colour foreground>>\nwikilist-url: <<colour muted-foreground>>\n"
        },
        "$:/palettes/DarkPhotos": {
            "title": "$:/palettes/DarkPhotos",
            "created": "20150402111612188",
            "description": "Good with dark photo backgrounds",
            "modified": "20150402112344080",
            "name": "DarkPhotos",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: \nbutton-foreground: \nbutton-border: \ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #ddd\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #336438\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #ccf\nsidebar-controls-foreground: #fff\nsidebar-foreground-shadow: rgba(0,0,0, 0.5)\nsidebar-foreground: #fff\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #eee\nsidebar-tab-background-selected: rgba(255,255,255, 0.8)\nsidebar-tab-background: rgba(255,255,255, 0.4)\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: rgba(255,255,255, 0.2)\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #aaf\nsidebar-tiddler-link-foreground: #ddf\nsite-title-foreground: #fff\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ec6\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
        },
        "$:/palettes/DesertSand": {
            "title": "$:/palettes/DesertSand",
            "tags": "$:/tags/Palette",
            "name": "Desert Sand",
            "description": "A desert sand palette",
            "type": "application/x-tiddler-dictionary",
            "text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #E9E0C7\nblockquote-bar: <<colour muted-foreground>>\nbutton-foreground: <<colour foreground>>\ncode-background: #F3EDDF\ncode-border: #C3BAA1\ncode-foreground: #ab3250\ndiff-delete-background: #bd8b8b\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #91c093\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #ad3434\ndownload-background: #6ca16c\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #E9E0C7\ndropdown-tab-background: #BAB29C\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #313163\nexternal-link-foreground: #555592\nforeground: #2D2A23\nmenubar-background: #CDC2A6\nmenubar-foreground: #5A5446\nmessage-background: #ECE5CF\nmessage-border: #D6CBAA\nmessage-foreground: #5f6e7d\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #8A8885\nmodal-footer-background: #CDC2A6\nmodal-footer-border: #9D998E\nmodal-header-border: #9D998E\nmuted-foreground: #9D998E\nnotification-background: #F0E9D7\nnotification-border: #939189\npage-background: #e0d3af\npre-background: #D6CBAA\npre-border: #CDC2A6\nprimary: #5B6F55\nselection-background: #9D947B\nselection-foreground: <<colour foreground>>\nselect-tag-background: #F0E9D7\nselect-tag-foreground: #2D2A23\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #2D2A23\nsidebar-controls-foreground: #867F69\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #867F69\nsidebar-muted-foreground-hover: #706A58\nsidebar-muted-foreground: #B3A98C\nsidebar-tab-background-selected: #e0d3af\nsidebar-tab-background: #A6A193\nsidebar-tab-border-selected: #C3BAA1\nsidebar-tab-border: #C3BAA1\nsidebar-tab-divider: #CDC2A6\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: #2D2A23\nsidebar-tiddler-link-foreground-hover: #433F35\nsidebar-tiddler-link-foreground: #706A58\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #A6A193\ntab-background-selected: #E9E0C7\ntab-background: #A6A193\ntab-border-selected: #C3BAA1\ntab-border: #C3BAA1\ntab-divider: #CDC2A6\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #2D2A23\ntable-border: #9D998E\ntable-footer-background: #8A8885\ntable-header-background: #B0AA98\ntag-background: #706A58\ntag-foreground: #E3D7B7\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #9D947B\ntiddler-controls-foreground-selected: #706A58\ntiddler-controls-foreground: #C3BAA1\ntiddler-editor-background: #E9E0C7\ntiddler-editor-border-image: #A6A193\ntiddler-editor-border: #A6A193\ntiddler-editor-fields-even: #D6CBAA\ntiddler-editor-fields-odd: #C3BAA1\ntiddler-info-background: #E3D7B7\ntiddler-info-border: #BAB29C\ntiddler-info-tab-background: #E9E0C7\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #867F69\ntiddler-title-foreground: #374464\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #8A8885\nvery-muted-foreground: #CDC2A6\nwikilist-background: <<colour page-background>>\nwikilist-item: #CDC2A6\nwikilist-info: #161512\nwikilist-title: #433F35\nwikilist-title-svg: <<colour wikilist-title>>\nwikilist-url: #706A58\nwikilist-button-open: #7db66a\nwikilist-button-open-hover: #56a556\nwikilist-button-reveal: #5a6c9e\nwikilist-button-reveal-hover: #454591\nwikilist-button-remove: #bc5972\nwikilist-button-remove-hover: #814040\nwikilist-toolbar-background: #CDC2A6\nwikilist-toolbar-foreground: #2D2A23\nwikilist-droplink-dragover: rgba(255,192,192,0.5)\nwikilist-button-background: #A6A193\nwikilist-button-foreground: #161512\n"
        },
        "$:/palettes/GruvboxDark": {
            "title": "$:/palettes/GruvboxDark",
            "name": "Gruvbox Dark",
            "description": "Retro groove color scheme",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "license": "https://github.com/morhetz/gruvbox",
            "text": "alert-background: #cc241d\nalert-border: #cc241d\nalert-highlight: #d79921\nalert-muted-foreground: #504945\nbackground: #3c3836\nblockquote-bar: <<colour muted-foreground>>\nbutton-foreground: <<colour page-background>>\ncode-background: #504945\ncode-border: #504945\ncode-foreground: #fb4934\ndiff-delete-background: #fb4934\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #b8bb26\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #fb4934\ndownload-background: #b8bb26\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #665c54\ndropdown-border: <<colour background>>\ndropdown-tab-background-selected: #ebdbb2\ndropdown-tab-background: #665c54\ndropzone-background: #98971a\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #d3869b\nexternal-link-foreground: #8ec07c\nforeground: #fbf1c7\nmenubar-background: #504945\nmenubar-foreground: <<colour foreground>>\nmessage-background: #83a598\nmessage-border: #83a598\nmessage-foreground: #3c3836\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #504945\nmodal-footer-background: #3c3836\nmodal-footer-border: #3c3836\nmodal-header-border: #3c3836\nmuted-foreground: #d5c4a1\nnotification-background: <<colour primary>>\nnotification-border: <<colour primary>>\npage-background: #282828\npre-background: #504945\npre-border: #504945\nprimary: #d79921\nselect-tag-background: #665c54\nselect-tag-foreground: <<colour foreground>>\nselection-background: #458588\nselection-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour page-background>>\nsidebar-controls-foreground-hover: #7c6f64\nsidebar-controls-foreground: #504945\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #fbf1c7\nsidebar-muted-foreground-hover: #7c6f64\nsidebar-muted-foreground: #504945\nsidebar-tab-background-selected: #bdae93\nsidebar-tab-background: #3c3836\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: #bdae93\nsidebar-tab-divider: <<colour page-background>>\nsidebar-tab-foreground-selected: #282828\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #458588\nsidebar-tiddler-link-foreground: #98971a\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #B48EAD\ntab-background-selected: #ebdbb2\ntab-background: #665c54\ntab-border-selected: #665c54\ntab-border: #665c54\ntab-divider: #bdae93\ntab-foreground-selected: #282828\ntab-foreground: #ebdbb2\ntable-border: #7c6f64\ntable-footer-background: #665c54\ntable-header-background: #504945\ntag-background: #d3869b\ntag-foreground: #282828\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #7c6f64\ntiddler-controls-foreground-selected: <<colour primary>>\ntiddler-controls-foreground: #665c54\ntiddler-editor-background: #32302f\ntiddler-editor-border-image: #282828\ntiddler-editor-border: #282828\ntiddler-editor-fields-even: #504945\ntiddler-editor-fields-odd: #7c6f64\ntiddler-info-background: #32302f\ntiddler-info-border: #ebdbb2\ntiddler-info-tab-background: #ebdbb2\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #7c6f64\ntiddler-title-foreground: #a89984\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #504945\nvery-muted-foreground: #bdae93\nwikilist-background: <<colour page-background>>\nwikilist-button-background: #acacac\nwikilist-button-foreground: <<colour button-foreground>>\nwikilist-item: <<colour background>>\nwikilist-toolbar-background: <<colour background>>\nwikilist-toolbar-foreground: <<colour foreground>>\nwikilist-title: <<colour foreground>>\nwikilist-title-svg: <<colour wikilist-title>>\nwikilist-url: <<colour muted-foreground>>\nwikilist-button-open-hover: <<colour primary>>\nwikilist-button-open: <<colour dropzone-background>>\nwikilist-button-remove: <<colour dirty-indicator>>\nwikilist-button-remove-hover: <<colour alert-background>>\nwikilist-droplink-dragover: <<colour dropzone-background>>\nwikilist-button-reveal: <<colour sidebar-tiddler-link-foreground-hover>>\nwikilist-button-reveal-hover: <<colour message-background>>\n"
        },
        "$:/palettes/Nord": {
            "title": "$:/palettes/Nord",
            "name": "Nord",
            "description": "An arctic, north-bluish color palette.",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "license": "MIT, arcticicestudio, https://github.com/arcticicestudio/nord/blob/develop/LICENSE.md",
            "text": "alert-background: #D08770\nalert-border: #D08770\nalert-highlight: #B48EAD\nalert-muted-foreground: #4C566A\nbackground: #3b4252\nblockquote-bar: <<colour muted-foreground>>\nbutton-foreground: <<colour page-background>>\ncode-background: #2E3440\ncode-border: #2E3440\ncode-foreground: #BF616A\ndiff-delete-background: #BF616A\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #A3BE8C\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #BF616A\ndownload-background: #A3BE8C\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour background>>\ndropdown-tab-background-selected: #ECEFF4\ndropdown-tab-background: #4C566A\ndropzone-background: #A3BE8C\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #5E81AC\nexternal-link-foreground: #8FBCBB\nforeground: #d8dee9\nmenubar-background: #2E3440\nmenubar-foreground: #d8dee9\nmessage-background: #2E3440\nmessage-border: #2E3440\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #3b4252\nmodal-footer-background: #3b4252\nmodal-footer-border: #3b4252\nmodal-header-border: #3b4252\nmuted-foreground: #4C566A\nnotification-background: <<colour primary>>\nnotification-border: #EBCB8B\npage-background: #2e3440\npre-background: #2E3440\npre-border: #2E3440\nprimary: #5E81AC\nselect-tag-background: #3b4252\nselect-tag-foreground: <<colour foreground>>\nselection-background: #5E81AC\nselection-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour page-background>>\nsidebar-controls-foreground-hover: #D8DEE9\nsidebar-controls-foreground: #4C566A\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #D8DEE9\nsidebar-muted-foreground-hover: #4C566A\nsidebar-muted-foreground: #4C566A\nsidebar-tab-background-selected: #ECEFF4\nsidebar-tab-background: #4C566A\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: #4C566A\nsidebar-tab-divider: <<colour page-background>>\nsidebar-tab-foreground-selected: #4C566A\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #A3BE8C\nsidebar-tiddler-link-foreground: #81A1C1\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #B48EAD\ntab-background-selected: #ECEFF4\ntab-background: #4C566A\ntab-border-selected: #4C566A\ntab-border: #4C566A\ntab-divider: #4C566A\ntab-foreground-selected: #4C566A\ntab-foreground: #D8DEE9\ntable-border: #4C566A\ntable-footer-background: #2e3440\ntable-header-background: #2e3440\ntag-background: #A3BE8C\ntag-foreground: #4C566A\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: \ntiddler-controls-foreground-selected: #EBCB8B\ntiddler-controls-foreground: #4C566A\ntiddler-editor-background: #2e3440\ntiddler-editor-border-image: #2e3440\ntiddler-editor-border: #3b4252\ntiddler-editor-fields-even: #2e3440\ntiddler-editor-fields-odd: #2e3440\ntiddler-info-background: #2e3440\ntiddler-info-border: #2e3440\ntiddler-info-tab-background: #2e3440\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #4C566A\ntiddler-title-foreground: #81A1C1\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #2d3038\nvery-muted-foreground: #2d3038\nwikilist-background: <<colour page-background>>\nwikilist-toolbar-background: <<colour background>>\nwikilist-item: <<colour background>>\nwikilist-title: <<colour foreground>>\nwikilist-info: <<colour muted-foreground>>\nwikilist-button-open: #A3BE8C\nwikilist-button-open-hover: #A3BE8C\nwikilist-button-reveal: #81A1C1\nwikilist-button-reveal-hover: #81A1C1\nwikilist-button-remove: #B48EAD\nwikilist-button-remove-hover: #B48EAD\n"
        },
        "$:/palettes/Rocker": {
            "title": "$:/palettes/Rocker",
            "name": "Rocker",
            "description": "A dark theme",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #000\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #cc0000\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ffffff\nsidebar-foreground-shadow: rgba(255,255,255, 0.0)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #000\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #ffbb99\nsidebar-tiddler-link-foreground: #cc0000\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ffbb99\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #cc0000\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
        },
        "$:/palettes/SolarFlare": {
            "title": "$:/palettes/SolarFlare",
            "name": "Solar Flare",
            "description": "Warm, relaxing earth colours",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "text": ": Background Tones\n\nbase03: #002b36\nbase02: #073642\n\n: Content Tones\n\nbase01: #586e75\nbase00: #657b83\nbase0: #839496\nbase1: #93a1a1\n\n: Background Tones\n\nbase2: #eee8d5\nbase3: #fdf6e3\n\n: Accent Colors\n\nyellow: #b58900\norange: #cb4b16\nred: #dc322f\nmagenta: #d33682\nviolet: #6c71c4\nblue: #268bd2\ncyan: #2aa198\ngreen: #859900\n\n: Additional Tones (RA)\n\nbase10: #c0c4bb\nviolet-muted: #7c81b0\nblue-muted: #4e7baa\n\nyellow-hot: #ffcc44\norange-hot: #eb6d20\nred-hot: #ff2222\nblue-hot: #2298ee\ngreen-hot: #98ee22\n\n: Palette\n\n: Do not use colour macro for background and foreground\nbackground: #fdf6e3\n    download-foreground: <<colour background>>\n    dragger-foreground: <<colour background>>\n    dropdown-background: <<colour background>>\n    modal-background: <<colour background>>\n    sidebar-foreground-shadow: <<colour background>>\n    tiddler-background: <<colour background>>\n    tiddler-border: <<colour background>>\n    tiddler-link-background: <<colour background>>\n    tab-background-selected: <<colour background>>\n        dropdown-tab-background-selected: <<colour tab-background-selected>>\nforeground: #657b83\n    dragger-background: <<colour foreground>>\n    tab-foreground: <<colour foreground>>\n        tab-foreground-selected: <<colour tab-foreground>>\n            sidebar-tab-foreground-selected: <<colour tab-foreground-selected>>\n        sidebar-tab-foreground: <<colour tab-foreground>>\n    sidebar-button-foreground: <<colour foreground>>\n    sidebar-controls-foreground: <<colour foreground>>\n    sidebar-foreground: <<colour foreground>>\n: base03\n: base02\n: base01\n    alert-muted-foreground: <<colour base01>>\n: base00\n    code-foreground: <<colour base00>>\n    message-foreground: <<colour base00>>\n    tag-foreground: <<colour base00>>\n: base0\n    sidebar-tiddler-link-foreground: <<colour base0>>\n: base1\n    muted-foreground: <<colour base1>>\n        blockquote-bar: <<colour muted-foreground>>\n        dropdown-border: <<colour muted-foreground>>\n        sidebar-muted-foreground: <<colour muted-foreground>>\n        tiddler-title-foreground: <<colour muted-foreground>>\n            site-title-foreground: <<colour tiddler-title-foreground>>\n: base2\n    modal-footer-background: <<colour base2>>\n    page-background: <<colour base2>>\n        modal-backdrop: <<colour page-background>>\n        notification-background: <<colour page-background>>\n        code-background: <<colour page-background>>\n            code-border: <<colour code-background>>\n        pre-background: <<colour page-background>>\n            pre-border: <<colour pre-background>>\n        sidebar-tab-background-selected: <<colour page-background>>\n    table-header-background: <<colour base2>>\n    tag-background: <<colour base2>>\n    tiddler-editor-background: <<colour base2>>\n    tiddler-info-background: <<colour base2>>\n    tiddler-info-tab-background: <<colour base2>>\n    tab-background: <<colour base2>>\n        dropdown-tab-background: <<colour tab-background>>\n: base3\n    alert-background: <<colour base3>>\n    message-background: <<colour base3>>\n: yellow\n: orange\n: red\n: magenta\n    alert-highlight: <<colour magenta>>\n: violet\n    external-link-foreground: <<colour violet>>\n: blue\n: cyan\n: green\n: base10\n    tiddler-controls-foreground: <<colour base10>>\n: violet-muted\n    external-link-foreground-visited: <<colour violet-muted>>\n: blue-muted\n    primary: <<colour blue-muted>>\n        download-background: <<colour primary>>\n        tiddler-link-foreground: <<colour primary>>\n\nalert-border: #b99e2f\ndirty-indicator: #ff0000\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nmessage-border: #cfd6e6\nmodal-border: #999999\nselect-tag-background:\nselect-tag-foreground:\nsidebar-controls-foreground-hover:\nsidebar-muted-foreground-hover:\nsidebar-tab-background: #ded8c5\nsidebar-tiddler-link-foreground-hover:\nstatic-alert-foreground: #aaaaaa\ntab-border: #cccccc\n    modal-footer-border: <<colour tab-border>>\n    modal-header-border: <<colour tab-border>>\n    notification-border: <<colour tab-border>>\n    sidebar-tab-border: <<colour tab-border>>\n    tab-border-selected: <<colour tab-border>>\n        sidebar-tab-border-selected: <<colour tab-border-selected>>\ntab-divider: #d8d8d8\n    sidebar-tab-divider: <<colour tab-divider>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-border: #dddddd\ntiddler-subtitle-foreground: #c0c0c0\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
        },
        "$:/palettes/SolarizedDark": {
            "title": "$:/palettes/SolarizedDark",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "description": "Precision dark colors for machines and people",
            "license": "MIT, Ethan Schoonover, https://github.com/altercation/solarized/blob/master/LICENSE",
            "name": "SolarizedDark",
            "text": "alert-background: #073642\nalert-border: #93a1a1\nalert-highlight: #d33682\nalert-muted-foreground: #d33682\nbackground: #073642\nblockquote-bar: #d33682\nbutton-background: #073642\nbutton-border: #586e75\nbutton-foreground: #93a1a1\ncode-background: #073642\ncode-border: #586e75\ncode-foreground: #93a1a1\ndirty-indicator: inherit\ndownload-background: #859900\ndownload-foreground: #073642\ndragger-background: #073642\ndragger-foreground: #839496\ndropdown-background: #073642\ndropdown-border: #93a1a1\ndropdown-tab-background: #002b36\ndropdown-tab-background-selected: #073642\ndropzone-background: #859900\nexternal-link-background: inherit\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-foreground: #268bd2\nexternal-link-foreground-hover:\nexternal-link-foreground-visited: #268bd2\nforeground: #839496\nmessage-background: #002b36\nmessage-border: #586e75\nmessage-foreground: #839496\nmodal-backdrop: #657b83\nmodal-background: #002b36\nmodal-border: #586e75\nmodal-footer-background: #073642\nmodal-footer-border: #586e75\nmodal-header-border: #586e75\nmuted-foreground: #93a1a1\nnotification-background: #002b36\nnotification-border: #586e75\npage-background: #073642\npre-background: inherit\npre-border: #657b83\nprimary: #859900\nselect-tag-background: #002b36\nselect-tag-foreground: #839496\nsidebar-button-foreground: #93a1a1\nsidebar-controls-foreground: #93a1a1\nsidebar-controls-foreground-hover: #eee8d5\nsidebar-foreground: #93a1a1\nsidebar-foreground-shadow: transparent\nsidebar-muted-foreground: #839496\nsidebar-muted-foreground-hover: #93a1a1\nsidebar-tab-background: #002b36\nsidebar-tab-background-selected: #073642\nsidebar-tab-border: #073642\nsidebar-tab-border-selected: #839496\nsidebar-tab-divider: #002b36\nsidebar-tab-foreground: #657b83\nsidebar-tab-foreground-selected: #93a1a1\nsidebar-tiddler-link-foreground: #2aa198\nsidebar-tiddler-link-foreground-hover: #eee8d5\nsite-title-foreground: #d33682\nstatic-alert-foreground: #93a1a1\ntab-background: #073642\ntab-background-selected: #002b36\ntab-border: #586e75\ntab-border-selected: #93a1a1\ntab-divider: #93a1a1\ntab-foreground: #839496\ntab-foreground-selected: #93a1a1\ntable-border: #586e75\ntable-footer-background: #073642\ntable-header-background: #073642\ntag-background: #b58900\ntag-foreground: #002b36\ntiddler-background: #002b36\ntiddler-border: #586e75\ntiddler-controls-foreground: inherit\ntiddler-controls-foreground-hover: #d33682\ntiddler-controls-foreground-selected: #2aa198\ntiddler-editor-background: #002b36\ntiddler-editor-border: #073642\ntiddler-editor-border-image: #002b36\ntiddler-editor-fields-even: #002b36\ntiddler-editor-fields-odd: #073642\ntiddler-info-background: #073642\ntiddler-info-border: #657b83\ntiddler-info-tab-background: #002b36\ntiddler-link-background: #002b36\ntiddler-link-foreground: #2aa198\ntiddler-subtitle-foreground: #839496\ntiddler-title-foreground: #d33682\ntoolbar-cancel-button: #839496\ntoolbar-close-button: #839496\ntoolbar-delete-button: #dc322f\ntoolbar-done-button: #839496\ntoolbar-edit-button: #839496\ntoolbar-info-button: #839496\ntoolbar-new-button: #839496\ntoolbar-options-button: #839496\ntoolbar-save-button: inherit\nuntagged-background: #586e75\nvery-muted-foreground: #586e75\n"
        },
        "$:/palettes/SolarizedLight": {
            "title": "$:/palettes/SolarizedLight",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "description": "Precision colors for machines and people",
            "license": "MIT, Ethan Schoonover, https://github.com/altercation/solarized/blob/master/LICENSE",
            "name": "SolarizedLight",
            "text": "alert-background: #eee8d5\nalert-border: #586e75\nalert-highlight: #d33682\nalert-muted-foreground: #d33682\nbackground: #eee8d5\nblockquote-bar: #d33682\nbutton-background: #eee8d5\nbutton-border: #93a1a1\nbutton-foreground: #586e75\ncode-background: #eee8d5\ncode-border: #93a1a1\ncode-foreground: #586e75\ndirty-indicator: inherit\ndownload-background: #859900\ndownload-foreground: #eee8d5\ndragger-background: #eee8d5\ndragger-foreground: #657b83\ndropdown-background: #eee8d5\ndropdown-border: #586e75\ndropdown-tab-background: #fdf6e3\ndropdown-tab-background-selected: #eee8d5\ndropzone-background: #859900\nexternal-link-background: inherit\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-foreground: #268bd2\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #268bd2\nforeground: #657b83\nmessage-background: #fdf6e3\nmessage-border: #93a1a1\nmessage-foreground: #657b83\nmodal-backdrop: #839496\nmodal-background: #fdf6e3\nmodal-border: #93a1a1\nmodal-footer-background: #eee8d5\nmodal-footer-border: #93a1a1\nmodal-header-border: #93a1a1\nmuted-foreground: #586e75\nnotification-background: #fdf6e3\nnotification-border: #93a1a1\npage-background: #eee8d5\npre-background: #eee8d5\npre-border: #839496\nprimary: #859900\nselect-tag-background: #fdf6e3\nselect-tag-foreground: #657b83\nsidebar-button-foreground: #586e75\nsidebar-controls-foreground: #586e75\nsidebar-controls-foreground-hover: #d33682\nsidebar-foreground: #586e75\nsidebar-foreground-shadow: transparent\nsidebar-muted-foreground: #657b83\nsidebar-muted-foreground-hover: #586e75\nsidebar-tab-background: #fdf6e3\nsidebar-tab-background-selected: #eee8d5\nsidebar-tab-border: #eee8d5\nsidebar-tab-border-selected: #657b83\nsidebar-tab-divider: #fdf6e3\nsidebar-tab-foreground: #839496\nsidebar-tab-foreground-selected: #586e75\nsidebar-tiddler-link-foreground: #2aa198\nsidebar-tiddler-link-foreground-hover: #002b36\nsite-title-foreground: #d33682\nstatic-alert-foreground: #586e75\ntab-background: #eee8d5\ntab-background-selected: #fdf6e3\ntab-border: #93a1a1\ntab-border-selected: #586e75\ntab-divider: #586e75\ntab-foreground: #657b83\ntab-foreground-selected: #586e75\ntable-border: #93a1a1\ntable-footer-background: #eee8d5\ntable-header-background: #eee8d5\ntag-background: #b58900\ntag-foreground: #fdf6e3\ntiddler-background: #fdf6e3\ntiddler-border: #93a1a1\ntiddler-controls-foreground: inherit\ntiddler-controls-foreground-hover: #d33682\ntiddler-controls-foreground-selected: #2aa198\ntiddler-editor-background: #fdf6e3\ntiddler-editor-border: #eee8d5\ntiddler-editor-border-image: #fdf6e3\ntiddler-editor-fields-even: #fdf6e3\ntiddler-editor-fields-odd: #eee8d5\ntiddler-info-background: #eee8d5\ntiddler-info-border: #839496\ntiddler-info-tab-background: #fdf6e3\ntiddler-link-background: #fdf6e3\ntiddler-link-foreground: #2aa198\ntiddler-subtitle-foreground: #657b83\ntiddler-title-foreground: #d33682\ntoolbar-cancel-button: #657b83\ntoolbar-close-button: #657b83\ntoolbar-delete-button: #dc322f\ntoolbar-done-button: #657b83\ntoolbar-edit-button: #657b83\ntoolbar-info-button: #657b83\ntoolbar-new-button: #657b83\ntoolbar-options-button: #657b83\ntoolbar-save-button: inherit\nuntagged-background: #586e75\nvery-muted-foreground: #93a1a1\n"
        },
        "$:/palettes/SpartanDay": {
            "title": "$:/palettes/SpartanDay",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "description": "Cold, spartan day colors",
            "name": "Spartan Day",
            "text": "alert-background: <<colour background>>\nalert-border: <<colour very-muted-foreground>>\nalert-highlight: <<colour very-muted-foreground>>\nalert-muted-foreground: <<colour muted-foreground>>\nbackground: #FAFAFA\nblockquote-bar: <<colour page-background>>\nbutton-background: transparent\nbutton-foreground: inherit\nbutton-border: <<colour tag-background>>\ncode-background: #ececec\ncode-border: #ececec\ncode-foreground: \ndirty-indicator: #c80000\ndownload-background: <<colour primary>>\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #FFFFFF\ndropdown-border: <<colour dropdown-background>>\ndropdown-tab-background-selected: <<colour dropdown-background>>\ndropdown-tab-background: #F5F5F5\ndropzone-background: <<colour tag-background>>\nexternal-link-background-hover: transparent\nexternal-link-background-visited: transparent\nexternal-link-background: transparent\nexternal-link-foreground-hover: \nexternal-link-foreground-visited: \nexternal-link-foreground: \nforeground: rgba(0, 0, 0, 0.87)\nmessage-background: <<colour background>>\nmessage-border: <<colour very-muted-foreground>>\nmessage-foreground: rgba(0, 0, 0, 0.54)\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour very-muted-foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour very-muted-foreground>>\nmodal-header-border: <<colour very-muted-foreground>>\nmuted-foreground: rgba(0, 0, 0, 0.54)\nnotification-background: <<colour dropdown-background>>\nnotification-border: <<colour dropdown-background>>\npage-background: #f4f4f4\npre-background: #ececec\npre-border: #ececec\nprimary: #3949ab\nselect-tag-background: <<colour background>>\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #aeaeae\nsidebar-controls-foreground: #c6c6c6\nsidebar-foreground-shadow: transparent\nsidebar-foreground: rgba(0, 0, 0, 0.54)\nsidebar-muted-foreground-hover: rgba(0, 0, 0, 0.54)\nsidebar-muted-foreground: rgba(0, 0, 0, 0.38)\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: transparent\nsidebar-tab-border-selected: <<colour table-border>>\nsidebar-tab-border: transparent\nsidebar-tab-divider: <<colour table-border>>\nsidebar-tab-foreground-selected: rgba(0, 0, 0, 0.87)\nsidebar-tab-foreground: rgba(0, 0, 0, 0.54)\nsidebar-tiddler-link-foreground-hover: rgba(0, 0, 0, 0.87)\nsidebar-tiddler-link-foreground: rgba(0, 0, 0, 0.54)\nsite-title-foreground: rgba(0, 0, 0, 0.87)\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: transparent\ntab-border-selected: <<colour table-border>>\ntab-border: transparent\ntab-divider: <<colour table-border>>\ntab-foreground-selected: rgba(0, 0, 0, 0.87)\ntab-foreground: rgba(0, 0, 0, 0.54)\ntable-border: #d8d8d8\ntable-footer-background: <<colour tiddler-editor-fields-odd>>\ntable-header-background: <<colour tiddler-editor-fields-even>>\ntag-background: #ec6\ntag-foreground: <<colour button-foreground>>\ntiddler-background: <<colour background>>\ntiddler-border: #f9f9f9\ntiddler-controls-foreground-hover: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground-selected: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground: <<colour sidebar-controls-foreground>>\ntiddler-editor-background: transparent\ntiddler-editor-border-image: \ntiddler-editor-border: #e8e7e7\ntiddler-editor-fields-even: rgba(0, 0, 0, 0.1)\ntiddler-editor-fields-odd: rgba(0, 0, 0, 0.04)\ntiddler-info-background: #F5F5F5\ntiddler-info-border: #F5F5F5\ntiddler-info-tab-background: <<colour tiddler-editor-fields-odd>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour muted-foreground>>\ntiddler-title-foreground: #000000\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour very-muted-foreground>>\nvery-muted-foreground: rgba(0, 0, 0, 0.12)\n"
        },
        "$:/palettes/SpartanNight": {
            "title": "$:/palettes/SpartanNight",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "description": "Dark spartan colors",
            "name": "Spartan Night",
            "text": "alert-background: <<colour background>>\nalert-border: <<colour very-muted-foreground>>\nalert-highlight: <<colour very-muted-foreground>>\nalert-muted-foreground: <<colour muted-foreground>>\nbackground: #303030\nblockquote-bar: <<colour page-background>>\nbutton-background: transparent\nbutton-foreground: inherit\nbutton-border: <<colour tag-background>>\ncode-background: <<colour pre-background>>\ncode-border: <<colour pre-border>>\ncode-foreground: rgba(255, 255, 255, 0.54)\ndirty-indicator: #c80000\ndownload-background: <<colour primary>>\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #424242\ndropdown-border: <<colour dropdown-background>>\ndropdown-tab-background-selected: <<colour dropdown-background>>\ndropdown-tab-background: #050505\ndropzone-background: <<colour tag-background>>\nexternal-link-background-hover: transparent\nexternal-link-background-visited: transparent\nexternal-link-background: transparent\nexternal-link-foreground-hover: \nexternal-link-foreground-visited: #7c318c\nexternal-link-foreground: #9e3eb3\nforeground: rgba(255, 255, 255, 0.7)\nmessage-background: <<colour background>>\nmessage-border: <<colour very-muted-foreground>>\nmessage-foreground: rgba(255, 255, 255, 0.54)\nmodal-backdrop: <<colour page-background>>\nmodal-background: <<colour background>>\nmodal-border: <<colour very-muted-foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour background>>\nmodal-header-border: <<colour very-muted-foreground>>\nmuted-foreground: rgba(255, 255, 255, 0.54)\nnotification-background: <<colour dropdown-background>>\nnotification-border: <<colour dropdown-background>>\npage-background: #212121\npre-background: #2a2a2a\npre-border: transparent\nprimary: #5656f3\nselect-tag-background: <<colour background>>\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #494949\nsidebar-controls-foreground: #5d5d5d\nsidebar-foreground-shadow: transparent\nsidebar-foreground: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground-hover: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground: rgba(255, 255, 255, 0.38)\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: transparent\nsidebar-tab-border-selected: <<colour table-border>>\nsidebar-tab-border: transparent\nsidebar-tab-divider: <<colour table-border>>\nsidebar-tab-foreground-selected: rgba(255, 255, 255, 0.87)\nsidebar-tab-foreground: rgba(255, 255, 255, 0.54)\nsidebar-tiddler-link-foreground-hover: rgba(255, 255, 255, 0.7)\nsidebar-tiddler-link-foreground: rgba(255, 255, 255, 0.54)\nsite-title-foreground: rgba(255, 255, 255, 0.7)\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: transparent\ntab-border-selected: <<colour table-border>>\ntab-border: transparent\ntab-divider: <<colour table-border>>\ntab-foreground-selected: rgba(255, 255, 255, 0.87)\ntab-foreground: rgba(255, 255, 255, 0.54)\ntable-border: #3a3a3a\ntable-footer-background: <<colour tiddler-editor-fields-odd>>\ntable-header-background: <<colour tiddler-editor-fields-even>>\ntag-background: #ec6\ntag-foreground: <<colour button-foreground>>\ntiddler-background: <<colour background>>\ntiddler-border: rgb(55,55,55)\ntiddler-controls-foreground-hover: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground-selected: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground: <<colour sidebar-controls-foreground>>\ntiddler-editor-background: transparent\ntiddler-editor-border-image: \ntiddler-editor-border: rgba(255, 255, 255, 0.08)\ntiddler-editor-fields-even: rgba(255, 255, 255, 0.1)\ntiddler-editor-fields-odd: rgba(255, 255, 255, 0.04)\ntiddler-info-background: #454545\ntiddler-info-border: #454545\ntiddler-info-tab-background: <<colour tiddler-editor-fields-odd>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour muted-foreground>>\ntiddler-title-foreground: #FFFFFF\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour very-muted-foreground>>\nvery-muted-foreground: rgba(255, 255, 255, 0.12)\n"
        },
        "$:/palettes/Twilight": {
            "title": "$:/palettes/Twilight",
            "tags": "$:/tags/Palette",
            "author": "Thomas Elmiger",
            "type": "application/x-tiddler-dictionary",
            "name": "Twilight",
            "description": "Delightful, soft darkness.",
            "text": "alert-background: rgb(255, 255, 102)\nalert-border: rgb(232, 232, 125)\nalert-highlight: rgb(255, 51, 51)\nalert-muted-foreground: rgb(224, 82, 82)\nbackground: rgb(38, 38, 38)\nblockquote-bar: rgba(240, 196, 117, 0.7)\nbutton-background: rgb(63, 63, 63)\nbutton-border: rgb(127, 127, 127)\nbutton-foreground: rgb(179, 179, 179)\ncode-background: rgba(0,0,0,0.03)\ncode-border: rgba(0,0,0,0.08)\ncode-foreground: rgb(255, 94, 94)\ndiff-delete-background: #ffc9c9\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #aaefad\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: rgb(255, 94, 94)\ndownload-background: #19a974\ndownload-foreground: rgb(38, 38, 38)\ndragger-background: rgb(179, 179, 179)\ndragger-foreground: rgb(38, 38, 38)\ndropdown-background: rgb(38, 38, 38)\ndropdown-border: rgb(255, 255, 255)\ndropdown-tab-background: rgba(0,0,0,.1)\ndropdown-tab-background-selected: rgba(255,255,255,1)\ndropzone-background: #9eebcf\nexternal-link-background: inherit\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-foreground: rgb(179, 179, 255)\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: rgb(153, 153, 255)\nforeground: rgb(179, 179, 179)\nmessage-background: <<colour tag-foreground>>\nmessage-border: #96ccff\nmessage-foreground: <<colour tag-background>>\nmodal-backdrop: rgb(179, 179, 179)\nmodal-background: rgb(38, 38, 38)\nmodal-border: rgba(0,0,0,.5)\nmodal-footer-background: #f4f4f4\nmodal-footer-border: rgba(0,0,0,.1)\nmodal-header-border: rgba(0,0,0,.2)\nmuted-foreground: rgb(255, 255, 255)\nnotification-background: <<colour tag-foreground>>\nnotification-border: <<colour tag-background>>\npage-background: rgb(26, 26, 26)\npre-background: rgb(25, 25, 25)\npre-border: rgba(0,0,0,.2)\nprimary: rgb(255, 201, 102)\nselect-tag-background: \nselect-tag-foreground: \nsidebar-button-foreground: rgb(179, 179, 179)\nsidebar-controls-foreground: rgb(153, 153, 153)\nsidebar-controls-foreground-hover: <<colour tiddler-controls-foreground-hover>>\nsidebar-foreground: rgb(141, 141, 141)\nsidebar-foreground-shadow: transparent\nsidebar-muted-foreground: rgba(0, 0, 0, 0.5)\nsidebar-muted-foreground-hover: rgb(141, 141, 141)\nsidebar-tab-background: rgba(141, 141, 141, 0.2)\nsidebar-tab-background-selected: rgb(26, 26, 26)\nsidebar-tab-border: rgb(127, 127, 127)\nsidebar-tab-border-selected: rgb(127, 127, 127)\nsidebar-tab-divider: rgb(127, 127, 127)\nsidebar-tab-foreground: rgb(179, 179, 179)\nsidebar-tab-foreground-selected: rgb(179, 179, 179)\nsidebar-tiddler-link-foreground: rgb(179, 179, 179)\nsidebar-tiddler-link-foreground-hover: rgb(115, 115, 115)\nsite-title-foreground: rgb(255, 201, 102)\nstatic-alert-foreground: rgba(0,0,0,.3)\ntab-background: rgba(0,0,0,0.125)\ntab-background-selected: rgb(38, 38, 38)\ntab-border: rgb(255, 201, 102)\ntab-border-selected: rgb(255, 201, 102)\ntab-divider: rgb(255, 201, 102)\ntab-foreground: rgb(179, 179, 179)\ntab-foreground-selected: rgb(179, 179, 179)\ntable-border: rgba(255,255,255,.3)\ntable-footer-background: rgba(0,0,0,.4)\ntable-header-background: rgba(0,0,0,.1)\ntag-background: rgb(255, 201, 102)\ntag-foreground: rgb(25, 25, 25)\ntiddler-background: rgb(38, 38, 38)\ntiddler-border: rgba(240, 196, 117, 0.7)\ntiddler-controls-foreground: rgb(128, 128, 128)\ntiddler-controls-foreground-hover: rgba(255, 255, 255, 0.8)\ntiddler-controls-foreground-selected: rgba(255, 255, 255, 0.9)\ntiddler-editor-background: rgb(33, 33, 33)\ntiddler-editor-border: rgb(63, 63, 63)\ntiddler-editor-border-image: rgb(25, 25, 25)\ntiddler-editor-fields-even: rgb(33, 33, 33)\ntiddler-editor-fields-odd: rgb(28, 28, 28)\ntiddler-info-background: rgb(43, 43, 43)\ntiddler-info-border: rgb(25, 25, 25)\ntiddler-info-tab-background: rgb(43, 43, 43)\ntiddler-link-background: rgb(38, 38, 38)\ntiddler-link-foreground: rgb(204, 204, 255)\ntiddler-subtitle-foreground: rgb(255, 255, 255)\ntiddler-title-foreground: rgb(255, 192, 76)\ntoolbar-cancel-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-done-button: \ntoolbar-edit-button: \ntoolbar-info-button: \ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \nuntagged-background: rgb(255, 255, 255)\nvery-muted-foreground: rgba(240, 196, 117, 0.7)\n"
        },
        "$:/palettes/Vanilla": {
            "title": "$:/palettes/Vanilla",
            "name": "Vanilla",
            "description": "Pale and unobtrusive",
            "tags": "$:/tags/Palette",
            "type": "application/x-tiddler-dictionary",
            "text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndiff-delete-background: #ffc9c9\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #aaefad\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #bbb\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #f4f4f4\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselection-background:\nselection-foreground:\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #aaaaaa\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #f4f4f4\nsidebar-tab-background: #e0e0e0\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: #e4e4e4\nsidebar-tab-foreground-selected:\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #999999\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ec6\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\nwikilist-background: #e5e5e5\nwikilist-item: #fff\nwikilist-info: #000\nwikilist-title: #666\nwikilist-title-svg: <<colour wikilist-title>>\nwikilist-url: #aaa\nwikilist-button-open: #4fb82b\nwikilist-button-open-hover: green\nwikilist-button-reveal: #5778d8\nwikilist-button-reveal-hover: blue\nwikilist-button-remove: #d85778\nwikilist-button-remove-hover: red\nwikilist-toolbar-background: #d3d3d3\nwikilist-toolbar-foreground: #888\nwikilist-droplink-dragover: rgba(255,192,192,0.5)\nwikilist-button-background: #acacac\nwikilist-button-foreground: #000\n"
        },
        "$:/core/readme": {
            "title": "$:/core/readme",
            "text": "This plugin contains TiddlyWiki's core components, comprising:\n\n* JavaScript code modules\n* Icons\n* Templates needed to create TiddlyWiki's user interface\n* British English (''en-GB'') translations of the localisable strings used by the core\n"
        },
        "$:/library/sjcl.js/license": {
            "title": "$:/library/sjcl.js/license",
            "type": "text/plain",
            "text": "SJCL is open. You can use, modify and redistribute it under a BSD\nlicense or under the GNU GPL, version 2.0.\n\n---------------------------------------------------------------------\n\nhttp://opensource.org/licenses/BSD-2-Clause\n\nCopyright (c) 2009-2015, Emily Stark, Mike Hamburg and Dan Boneh at\nStanford University. All rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are\nmet:\n\n1. Redistributions of source code must retain the above copyright\nnotice, this list of conditions and the following disclaimer.\n\n2. Redistributions in binary form must reproduce the above copyright\nnotice, this list of conditions and the following disclaimer in the\ndocumentation and/or other materials provided with the distribution.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS\nIS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED\nTO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A\nPARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT\nHOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,\nSPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED\nTO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR\nPROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF\nLIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING\nNEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\nSOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n\n---------------------------------------------------------------------\n\nhttp://opensource.org/licenses/GPL-2.0\n\nThe Stanford Javascript Crypto Library (hosted here on GitHub) is a\nproject by the Stanford Computer Security Lab to build a secure,\npowerful, fast, small, easy-to-use, cross-browser library for\ncryptography in Javascript.\n\nCopyright (c) 2009-2015, Emily Stark, Mike Hamburg and Dan Boneh at\nStanford University.\n\nThis program is free software; you can redistribute it and/or modify it\nunder the terms of the GNU General Public License as published by the\nFree Software Foundation; either version 2 of the License, or (at your\noption) any later version.\n\nThis program is distributed in the hope that it will be useful, but\nWITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General\nPublic License for more details.\n\nYou should have received a copy of the GNU General Public License along\nwith this program; if not, write to the Free Software Foundation, Inc.,\n59 Temple Place, Suite 330, Boston, MA 02111-1307 USA"
        },
        "$:/core/templates/MOTW.html": {
            "title": "$:/core/templates/MOTW.html",
            "text": "\\rules only filteredtranscludeinline transcludeinline entity\n<!-- The following comment is called a MOTW comment and is necessary for the TiddlyIE Internet Explorer extension -->\n<!-- saved from url=(0021)https://tiddlywiki.com -->&#13;&#10;"
        },
        "$:/core/templates/alltiddlers.template.html": {
            "title": "$:/core/templates/alltiddlers.template.html",
            "type": "text/vnd.tiddlywiki-html",
            "text": "<!-- This template is provided for backwards compatibility with older versions of TiddlyWiki -->\n\n<$set name=\"exportFilter\" value=\"[!is[system]sort[title]]\">\n\n{{$:/core/templates/exporters/StaticRiver}}\n\n</$set>\n"
        },
        "$:/core/templates/canonical-uri-external-image": {
            "title": "$:/core/templates/canonical-uri-external-image",
            "text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external images.\n\nChange the `./images/` part to a different base URI. The URI can be relative or absolute.\n\n-->\n./images/<$view field=\"title\" format=\"doubleurlencoded\"/>"
        },
        "$:/core/templates/canonical-uri-external-raw": {
            "title": "$:/core/templates/canonical-uri-external-raw",
            "text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external raw files that are stored in the same directory\n\n-->\n<$view field=\"title\" format=\"doubleurlencoded\"/>"
        },
        "$:/core/templates/canonical-uri-external-text": {
            "title": "$:/core/templates/canonical-uri-external-text",
            "text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external text files.\n\nChange the `./text/` part to a different base URI. The URI can be relative or absolute.\n\n-->\n./text/<$view field=\"title\" format=\"doubleurlencoded\"/>.tid"
        },
        "$:/core/templates/css-tiddler": {
            "title": "$:/core/templates/css-tiddler",
            "text": "<!--\n\nThis template is used for saving CSS tiddlers as a style tag with data attributes representing the tiddler fields.\n\n-->`<style`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/css\">`<$view field=\"text\" format=\"text\" />`</style>`"
        },
        "$:/core/templates/exporters/CsvFile": {
            "title": "$:/core/templates/exporters/CsvFile",
            "tags": "$:/tags/Exporter",
            "description": "{{$:/language/Exporters/CsvFile}}",
            "extension": ".csv",
            "text": "<$macrocall $name=\"csvtiddlers\" filter=<<exportFilter>> format=\"quoted-comma-sep\" $output=\"text/raw\"/>\n"
        },
        "$:/core/templates/exporters/JsonFile": {
            "title": "$:/core/templates/exporters/JsonFile",
            "tags": "$:/tags/Exporter",
            "description": "{{$:/language/Exporters/JsonFile}}",
            "extension": ".json",
            "text": "<$macrocall $name=\"jsontiddlers\" filter=<<exportFilter>> $output=\"text/raw\"/>\n"
        },
        "$:/core/templates/exporters/StaticRiver": {
            "title": "$:/core/templates/exporters/StaticRiver",
            "tags": "$:/tags/Exporter",
            "description": "{{$:/language/Exporters/StaticRiver}}",
            "extension": ".html",
            "text": "\\define tv-wikilink-template() #$uri_encoded$\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n<section class=\"tc-story-river tc-static-story-river\">\n{{$:/core/templates/exporters/StaticRiver/Content||$:/core/templates/html-tiddler}}\n</section>\n</body>\n</html>\n"
        },
        "$:/core/templates/exporters/StaticRiver/Content": {
            "title": "$:/core/templates/exporters/StaticRiver/Content",
            "text": "\\define renderContent()\n{{{ $(exportFilter)$ ||$:/core/templates/static-tiddler}}}\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n<<renderContent>>\n"
        },
        "$:/core/templates/exporters/TidFile": {
            "title": "$:/core/templates/exporters/TidFile",
            "tags": "$:/tags/Exporter",
            "description": "{{$:/language/Exporters/TidFile}}",
            "extension": ".tid",
            "condition": "[<count>compare:lte[1]]",
            "text": "\\define renderContent()\n{{{ $(exportFilter)$ +[limit[1]] ||$:/core/templates/tid-tiddler}}}\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n<<renderContent>>"
        },
        "$:/core/save/all-external-js": {
            "title": "$:/core/save/all-external-js",
            "text": "\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[prefix[$:/temp/]] -[prefix[$:/HistoryList]] -[status[pending]plugin-type[import]] -[[$:/core]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] $(publishFilter)$\n\\end\n{{$:/core/templates/tiddlywiki5-external-js.html}}\n"
        },
        "$:/core/templates/tiddlywiki5.js": {
            "title": "$:/core/templates/tiddlywiki5.js",
            "text": "\\rules only filteredtranscludeinline transcludeinline codeinline\n\n/*\n{{ $:/core/copyright.txt ||$:/core/templates/plain-text-tiddler}}\n`*/\n`<!--~~ Library modules ~~-->\n{{{ [is[system]type[application/javascript]library[yes]] ||$:/core/templates/plain-text-tiddler}}}\n<!--~~ Boot prefix ~~-->\n{{ $:/boot/bootprefix.js ||$:/core/templates/plain-text-tiddler}}\n<!--~~ Core plugin ~~-->\n{{$:/core/templates/tiddlywiki5.js/tiddlers}}\n<!--~~ Boot kernel ~~-->\n{{ $:/boot/boot.js ||$:/core/templates/plain-text-tiddler}}\n"
        },
        "$:/core/templates/tiddlywiki5.js/tiddlers": {
            "title": "$:/core/templates/tiddlywiki5.js/tiddlers",
            "text": "`\n$tw.preloadTiddlerArray(`<$text text=<<jsontiddlers \"[[$:/core]]\">>/>`);\n`\n"
        },
        "$:/core/templates/tiddlywiki5-external-js.html": {
            "title": "$:/core/templates/tiddlywiki5-external-js.html",
            "text": "\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n{{$:/core/templates/MOTW.html}}<html lang=\"`<$text text={{{ [{$:/language}get[name]] }}}/>`\">\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<!--~~ Raw markup for the top of the head section ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified/TopHead]] ||$:/core/templates/raw-static-tiddler}}}\n<meta http-equiv=\"X-UA-Compatible\" content=\"IE=Edge\"/>\n<meta name=\"application-name\" content=\"TiddlyWiki\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\" />\n<meta name=\"copyright\" content=\"{{$:/core/copyright.txt}}\" />\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<!--~~ This is a Tiddlywiki file. The points of interest in the file are marked with this pattern ~~-->\n\n<!--~~ Raw markup ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/core/wiki/rawmarkup]] [all[shadows+tiddlers]tag[$:/tags/RawMarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified]] ||$:/core/templates/raw-static-tiddler}}}\n</head>\n<body class=\"tc-body\">\n<!--~~ Raw markup for the top of the body section ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified/TopBody]] ||$:/core/templates/raw-static-tiddler}}}\n<!--~~ Static styles ~~-->\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<!--~~ Static content for Google and browsers without JavaScript ~~-->\n<noscript>\n<div id=\"splashArea\">\n{{$:/core/templates/static.area}}\n</div>\n</noscript>\n<!--~~ Ordinary tiddlers ~~-->\n{{$:/core/templates/store.area.template.html}}\n<!--~~ Raw markup for the bottom of the body section ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified/BottomBody]] ||$:/core/templates/raw-static-tiddler}}}\n</body>\n<script src=\"%24%3A%2Fcore%2Ftemplates%2Ftiddlywiki5.js\" onerror=\"alert('Error: Cannot load tiddlywiki.js');\"></script>\n</html>\n"
        },
        "$:/core/templates/html-div-skinny-tiddler": {
            "title": "$:/core/templates/html-div-skinny-tiddler",
            "text": "<!--\n\nThis template is a variant of $:/core/templates/html-div-tiddler used for saving skinny tiddlers (with no text field)\n\n-->`<div`<$fields template=' $name$=\"$encoded_value$\"'></$fields>`>\n<pre></pre>\n</div>`\n"
        },
        "$:/core/templates/html-div-tiddler": {
            "title": "$:/core/templates/html-div-tiddler",
            "text": "<!--\n\nThis template is used for saving tiddlers as an HTML DIV tag with attributes representing the tiddler fields.\n\n-->`<div`<$fields template=' $name$=\"$encoded_value$\"'></$fields>`>\n<pre>`<$view field=\"text\" format=\"htmlencoded\" />`</pre>\n</div>`\n"
        },
        "$:/core/templates/html-tiddler": {
            "title": "$:/core/templates/html-tiddler",
            "text": "<!--\n\nThis template is used for saving tiddlers as raw HTML\n\n--><$view field=\"text\" format=\"htmlwikified\" />"
        },
        "$:/core/templates/javascript-tiddler": {
            "title": "$:/core/templates/javascript-tiddler",
            "text": "<!--\n\nThis template is used for saving JavaScript tiddlers as a script tag with data attributes representing the tiddler fields.\n\n-->`<script`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/javascript\">`<$view field=\"text\" format=\"text\" />`</script>`"
        },
        "$:/core/templates/json-tiddler": {
            "title": "$:/core/templates/json-tiddler",
            "text": "<!--\n\nThis template is used for saving tiddlers as raw JSON\n\n--><$text text=<<jsontiddler>>/>"
        },
        "$:/core/templates/module-tiddler": {
            "title": "$:/core/templates/module-tiddler",
            "text": "<!--\n\nThis template is used for saving JavaScript tiddlers as a script tag with data attributes representing the tiddler fields. The body of the tiddler is wrapped in a call to the `$tw.modules.define` function in order to define the body of the tiddler as a module\n\n-->`<script`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/javascript\" data-module=\"yes\">$tw.modules.define(\"`<$view field=\"title\" format=\"jsencoded\" />`\",\"`<$view field=\"module-type\" format=\"jsencoded\" />`\",function(module,exports,require) {`<$view field=\"text\" format=\"text\" />`});\n</script>`"
        },
        "$:/core/templates/plain-text-tiddler": {
            "title": "$:/core/templates/plain-text-tiddler",
            "text": "<$view field=\"text\" format=\"text\" />"
        },
        "$:/core/templates/raw-static-tiddler": {
            "title": "$:/core/templates/raw-static-tiddler",
            "text": "<!--\n\nThis template is used for saving tiddlers as static HTML\n\n--><$view field=\"text\" format=\"plainwikified\" />"
        },
        "$:/core/save/all": {
            "title": "$:/core/save/all",
            "text": "\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[prefix[$:/temp/]] -[prefix[$:/HistoryList]] -[status[pending]plugin-type[import]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] $(publishFilter)$\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
        },
        "$:/core/save/empty": {
            "title": "$:/core/save/empty",
            "text": "\\define saveTiddlerFilter()\n[is[system]] -[prefix[$:/state/popup/]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
        },
        "$:/core/save/lazy-all": {
            "title": "$:/core/save/lazy-all",
            "text": "\\define saveTiddlerFilter()\n[is[system]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] \n\\end\n\\define skinnySaveTiddlerFilter()\n[!is[system]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
        },
        "$:/core/save/lazy-images": {
            "title": "$:/core/save/lazy-images",
            "text": "\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] -[!is[system]is[image]] +[sort[title]] \n\\end\n\\define skinnySaveTiddlerFilter()\n[is[image]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
        },
        "$:/core/templates/server/static.sidebar.wikitext": {
            "title": "$:/core/templates/server/static.sidebar.wikitext",
            "text": "\\whitespace trim\n<div class=\"tc-sidebar-scrollable\" style=\"overflow: auto;\">\n<div class=\"tc-sidebar-header\">\n<h1 class=\"tc-site-title\">\n<$transclude tiddler=\"$:/SiteTitle\"/>\n</h1>\n<div class=\"tc-site-subtitle\">\n<$transclude tiddler=\"$:/SiteSubtitle\"/>\n</div>\n<h2>\n</h2>\n<div class=\"tc-sidebar-lists\">\n<$list filter={{$:/DefaultTiddlers}}>\n<div class=\"tc-menu-list-subitem\">\n<$link><$text text=<<currentTiddler>>/></$link>\n</div>\n</$list>\n</div>\n<!-- Currently disabled the recent list as it is unweildy when the responsive narrow view kicks in\n<h2>\n{{$:/language/SideBar/Recent/Caption}}\n</h2>\n<div class=\"tc-sidebar-lists\">\n<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n</div>\n</div>\n</div>\n-->\n"
        },
        "$:/core/templates/server/static.tiddler.html": {
            "title": "$:/core/templates/server/static.tiddler.html",
            "text": "\\whitespace trim\n\\define tv-wikilink-template() $uri_encoded$\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content={{$:/core/templates/version}} />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<link rel=\"stylesheet\" href=\"%24%3A%2Fcore%2Ftemplates%2Fstatic.template.css\">\n<title><$view field=\"caption\" format=\"plainwikified\"><$view field=\"title\"/></$view>: <$view tiddler=\"$:/core/wiki/title\" format=\"plainwikified\"/></title>\n</head>\n<body class=\"tc-body\">\n<$transclude tiddler=\"$:/core/templates/server/static.sidebar.wikitext\" mode=\"inline\"/>\n<section class=\"tc-story-river\">\n<div class=\"tc-tiddler-frame\">\n<$transclude tiddler=\"$:/core/templates/server/static.tiddler.wikitext\" mode=\"inline\"/>\n</div>\n</section>\n</body>\n</html>"
        },
        "$:/core/templates/server/static.tiddler.wikitext": {
            "title": "$:/core/templates/server/static.tiddler.wikitext",
            "text": "\\whitespace trim\n<div class=\"tc-tiddler-title\">\n<div class=\"tc-titlebar\">\n<h2><$text text=<<currentTiddler>>/></h2>\n</div>\n</div>\n<div class=\"tc-subtitle\">\n<$link to={{!!modifier}}>\n<$view field=\"modifier\"/>\n</$link> <$view field=\"modified\" format=\"date\" template={{$:/language/Tiddler/DateFormat}}/>\n</div>\n<div class=\"tc-tags-wrapper\">\n<$list filter=\"[all[current]tags[]sort[title]]\">\n<a href={{{ [<currentTiddler>encodeuricomponent[]] }}}>\n<$macrocall $name=\"tag-pill\" tag=<<currentTiddler>>/>\n</a>\n</$list>\n</div>\n<div class=\"tc-tiddler-body\">\n<$transclude mode=\"block\"/>\n</div>\n"
        },
        "$:/core/templates/single.tiddler.window": {
            "title": "$:/core/templates/single.tiddler.window",
            "text": "\\whitespace trim\n\\define containerClasses()\ntc-page-container tc-page-view-$(storyviewTitle)$ tc-language-$(languageTitle)$\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<$vars\n\ttv-config-toolbar-icons={{$:/config/Toolbar/Icons}}\n\ttv-config-toolbar-text={{$:/config/Toolbar/Text}}\n\ttv-config-toolbar-class={{$:/config/Toolbar/ButtonClass}}\n\ttv-show-missing-links={{$:/config/MissingLinks}}\n\tstoryviewTitle={{$:/view}}\n\tlanguageTitle={{{ [{$:/language}get[name]] }}}>\n\n<div class=<<containerClasses>>>\n\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\">\n\n<$transclude mode=\"block\"/>\n\n</$navigator>\n\n</div>\n\n</$vars>\n"
        },
        "$:/core/templates/split-recipe": {
            "title": "$:/core/templates/split-recipe",
            "text": "<$list filter=\"[!is[system]]\">\ntiddler: <$view field=\"title\" format=\"urlencoded\"/>.tid\n</$list>\n"
        },
        "$:/core/templates/static-tiddler": {
            "title": "$:/core/templates/static-tiddler",
            "text": "<a name=<<currentTiddler>>>\n<$transclude tiddler=\"$:/core/ui/ViewTemplate\"/>\n</a>"
        },
        "$:/core/templates/static.area": {
            "title": "$:/core/templates/static.area",
            "text": "<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawStaticContent]!has[draft.of]] ||$:/core/templates/raw-static-tiddler}}}\n{{$:/core/templates/static.content||$:/core/templates/html-tiddler}}\n</$reveal>\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\nThis file contains an encrypted ~TiddlyWiki. Enable ~JavaScript and enter the decryption password when prompted.\n</$reveal>\n<!-- ensure splash screen isn't shown when JS is disabled -->\n`<style>\n.tc-remove-when-wiki-loaded {display: none;}\n</style>`\n"
        },
        "$:/core/templates/static.content": {
            "title": "$:/core/templates/static.content",
            "text": "<!-- For Google, and people without JavaScript-->\nThis [[TiddlyWiki|https://tiddlywiki.com]] contains the following tiddlers:\n\n<ul>\n<$list filter=<<saveTiddlerFilter>>>\n<li><$view field=\"title\" format=\"text\"></$view></li>\n</$list>\n</ul>\n"
        },
        "$:/core/templates/static.template.css": {
            "title": "$:/core/templates/static.template.css",
            "text": "{{$:/boot/boot.css||$:/core/templates/plain-text-tiddler}}\n\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n"
        },
        "$:/core/templates/static.template.html": {
            "title": "$:/core/templates/static.template.html",
            "type": "text/vnd.tiddlywiki-html",
            "text": "\\define tv-wikilink-template() static/$uri_doubleencoded$.html\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n{{$:/core/ui/PageTemplate||$:/core/templates/html-tiddler}}\n</body>\n</html>\n"
        },
        "$:/core/templates/static.tiddler.html": {
            "title": "$:/core/templates/static.tiddler.html",
            "text": "\\define tv-wikilink-template() $uri_doubleencoded$.html\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n`<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"`{{$:/core/templates/version}}`\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<link rel=\"stylesheet\" href=\"static.css\">\n<title>`<$view field=\"caption\"><$view field=\"title\"/></$view>: {{$:/core/wiki/title}}`</title>\n</head>\n<body class=\"tc-body\">\n`{{$:/StaticBanner||$:/core/templates/html-tiddler}}`\n<section class=\"tc-story-river tc-static-story-river\">\n`<$view tiddler=\"$:/core/ui/ViewTemplate\" format=\"htmlwikified\"/>`\n</section>\n</body>\n</html>\n`\n"
        },
        "$:/core/templates/store.area.template.html": {
            "title": "$:/core/templates/store.area.template.html",
            "text": "<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n`<div id=\"storeArea\" style=\"display:none;\">`\n<$list filter=<<saveTiddlerFilter>> template=\"$:/core/templates/html-div-tiddler\"/>\n<$list filter={{{ [<skinnySaveTiddlerFilter>] }}} template=\"$:/core/templates/html-div-skinny-tiddler\"/>\n`</div>`\n</$reveal>\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\n`<!--~~ Encrypted tiddlers ~~-->`\n`<pre id=\"encryptedStoreArea\" type=\"text/plain\" style=\"display:none;\">`\n<$encrypt filter=<<saveTiddlerFilter>>/>\n`</pre>`\n</$reveal>"
        },
        "$:/core/templates/tid-tiddler": {
            "title": "$:/core/templates/tid-tiddler",
            "text": "<!--\n\nThis template is used for saving tiddlers in TiddlyWeb *.tid format\n\n--><$fields exclude='text bag' template='$name$: $value$\n'></$fields>`\n`<$view field=\"text\" format=\"text\" />"
        },
        "$:/core/templates/tiddler-metadata": {
            "title": "$:/core/templates/tiddler-metadata",
            "text": "<!--\n\nThis template is used for saving tiddler metadata *.meta files\n\n--><$fields exclude='text bag' template='$name$: $value$\n'></$fields>"
        },
        "$:/core/templates/tiddlywiki5.html": {
            "title": "$:/core/templates/tiddlywiki5.html",
            "text": "<$set name=\"saveTiddlerAndShadowsFilter\" filter=\"[subfilter<saveTiddlerFilter>] [subfilter<saveTiddlerFilter>plugintiddlers[]]\">\n`<!doctype html>\n`{{$:/core/templates/MOTW.html}}`<html lang=\"`<$text text={{{ [{$:/language}get[name]] }}}/>`\">\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<!--~~ Raw markup for the top of the head section ~~-->\n`{{{ [<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/TopHead]] ||$:/core/templates/raw-static-tiddler}}}`\n<meta http-equiv=\"X-UA-Compatible\" content=\"IE=Edge\"/>\n<meta name=\"application-name\" content=\"TiddlyWiki\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"`{{$:/core/templates/version}}`\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\" />\n<meta name=\"copyright\" content=\"`{{$:/core/copyright.txt}}`\" />\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>`{{$:/core/wiki/title}}`</title>\n<!--~~ This is a Tiddlywiki file. The points of interest in the file are marked with this pattern ~~-->\n\n<!--~~ Raw markup ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/core/wiki/rawmarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified]] ||$:/core/templates/raw-static-tiddler}}}`\n</head>\n<body class=\"tc-body\">\n<!--~~ Raw markup for the top of the body section ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/TopBody]] ||$:/core/templates/raw-static-tiddler}}}`\n<!--~~ Static styles ~~-->\n<div id=\"styleArea\">\n`{{$:/boot/boot.css||$:/core/templates/css-tiddler}}`\n</div>\n<!--~~ Static content for Google and browsers without JavaScript ~~-->\n<noscript>\n<div id=\"splashArea\">\n`{{$:/core/templates/static.area}}`\n</div>\n</noscript>\n<!--~~ Ordinary tiddlers ~~-->\n`{{$:/core/templates/store.area.template.html}}`\n<!--~~ Library modules ~~-->\n<div id=\"libraryModules\" style=\"display:none;\">\n`{{{ [is[system]type[application/javascript]library[yes]] ||$:/core/templates/javascript-tiddler}}}`\n</div>\n<!--~~ Boot kernel prologue ~~-->\n<div id=\"bootKernelPrefix\" style=\"display:none;\">\n`{{ $:/boot/bootprefix.js ||$:/core/templates/javascript-tiddler}}`\n</div>\n<!--~~ Boot kernel ~~-->\n<div id=\"bootKernel\" style=\"display:none;\">\n`{{ $:/boot/boot.js ||$:/core/templates/javascript-tiddler}}`\n</div>\n<!--~~ Raw markup for the bottom of the body section ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/BottomBody]] ||$:/core/templates/raw-static-tiddler}}}`\n</body>\n</html>`\n"
        },
        "$:/core/templates/version": {
            "title": "$:/core/templates/version",
            "text": "<<version>>"
        },
        "$:/core/templates/wikified-tiddler": {
            "title": "$:/core/templates/wikified-tiddler",
            "text": "<$transclude />"
        },
        "$:/core/ui/AboveStory/tw2-plugin-check": {
            "title": "$:/core/ui/AboveStory/tw2-plugin-check",
            "tags": "$:/tags/AboveStory",
            "text": "\\define lingo-base() $:/language/AboveStory/ClassicPlugin/\n<$list filter=\"[all[system+tiddlers]tag[systemConfig]limit[1]]\">\n\n<div class=\"tc-message-box\">\n\n<<lingo Warning>>\n\n<ul>\n\n<$list filter=\"[all[system+tiddlers]tag[systemConfig]]\">\n\n<li>\n\n<$link><$view field=\"title\"/></$link>\n\n</li>\n\n</$list>\n\n</ul>\n\n</div>\n\n</$list>\n"
        },
        "$:/core/ui/Actions/new-image": {
            "title": "$:/core/ui/Actions/new-image",
            "tags": "$:/tags/Actions",
            "description": "create a new image tiddler",
            "text": "\\define get-type()\nimage/$(imageType)$\n\\end\n\\define get-tags() $(textFieldTags)$ $(tagsFieldTags)$\n<$vars imageType={{$:/config/NewImageType}} textFieldTags={{$:/config/NewJournal/Tags}} tagsFieldTags={{$:/config/NewJournal/Tags!!tags}}>\n<$action-sendmessage $message=\"tm-new-tiddler\" type=<<get-type>> tags=<<get-tags>>/>\n</$vars>\n"
        },
        "$:/core/ui/Actions/new-journal": {
            "title": "$:/core/ui/Actions/new-journal",
            "tags": "$:/tags/Actions",
            "description": "create a new journal tiddler",
            "text": "\\define get-tags() $(textFieldTags)$ $(tagsFieldTags)$\n<$vars journalTitleTemplate={{$:/config/NewJournal/Title}} textFieldTags={{$:/config/NewJournal/Tags}} tagsFieldTags={{$:/config/NewJournal/Tags!!tags}} journalText={{$:/config/NewJournal/Text}}>\n<$wikify name=\"journalTitle\" text=\"\"\"<$macrocall $name=\"now\" format=<<journalTitleTemplate>>/>\"\"\">\n<$reveal type=\"nomatch\" state=<<journalTitle>> text=\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<get-tags>> text={{{ [<journalTitle>get[]] }}}/>\n</$reveal>\n<$reveal type=\"match\" state=<<journalTitle>> text=\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<get-tags>> text=<<journalText>>/>\n</$reveal>\n</$wikify>\n</$vars>\n"
        },
        "$:/core/ui/Actions/new-tiddler": {
            "title": "$:/core/ui/Actions/new-tiddler",
            "tags": "$:/tags/Actions",
            "description": "create a new empty tiddler",
            "text": "\\define get-tags() $(textFieldTags)$ $(tagsFieldTags)$\n<$vars textFieldTags={{$:/config/NewTiddler/Tags}} tagsFieldTags={{$:/config/NewTiddler/Tags!!tags}}>\n<$action-sendmessage $message=\"tm-new-tiddler\" tags=<<get-tags>>/>\n</$vars>\n"
        },
        "$:/core/ui/AdvancedSearch/Filter": {
            "title": "$:/core/ui/AdvancedSearch/Filter",
            "tags": "$:/tags/AdvancedSearch",
            "caption": "{{$:/language/Search/Filter/Caption}}",
            "text": "\\define lingo-base() $:/language/Search/\n\\define set-next-input-tab(beforeafter:\"after\") <$macrocall $name=\"change-input-tab\" stateTitle=\"$:/state/tab--1498284803\" tag=\"$:/tags/AdvancedSearch\" beforeafter=\"$beforeafter$\" defaultState=\"$:/core/ui/AdvancedSearch/System\" actions=\"\"\"<$action-setfield $tiddler=\"$:/state/advancedsearch/currentTab\" text=<<nextTab>>/>\"\"\"/>\n\n\\define cancel-search-actions() <$list filter=\"[{$:/temp/advancedsearch/input}!match{$:/temp/advancedsearch}]\" emptyMessage=\"\"\"<$action-deletetiddler $filter=\"[[$:/temp/advancedsearch]] [[$:/temp/advancedsearch/input]] [[$:/temp/advancedsearch/selected-item]]\" />\"\"\"><$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" text={{$:/temp/advancedsearch}}/><$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/></$list>\n\n\\define input-accept-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\"\"\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\n\n\\define input-accept-variant-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{  [<__tiddler__>get[text]] }}}/></$list></$list>\"\"\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{  [<__tiddler__>get[text]] }}}/></$list></$list>\n\n<<lingo Filter/Hint>>\n\n<div class=\"tc-search tc-advanced-search\">\n<$keyboard key=\"((input-tab-right))\" actions=<<set-next-input-tab>>>\n<$keyboard key=\"((input-tab-left))\" actions=<<set-next-input-tab \"before\">>>\n<$macrocall $name=\"keyboard-driven-input\" tiddler=\"$:/temp/advancedsearch/input\" storeTitle=\"$:/temp/advancedsearch\" \n\t\trefreshTitle=\"$:/temp/advancedsearch/refresh\" selectionStateTitle=\"$:/temp/advancedsearch/selected-item\" type=\"search\" \n\t\ttag=\"input\" focus={{$:/config/Search/AutoFocus}} configTiddlerFilter=\"[[$:/temp/advancedsearch]]\" firstSearchFilterField=\"text\" \n\t\tinputAcceptActions=<<input-accept-actions>> inputAcceptVariantActions=<<input-accept-variant-actions>> \n\t\tinputCancelActions=<<cancel-search-actions>>/>\n</$keyboard>\n</$keyboard>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch/FilterButton]!has[draft.of]]\"><$transclude/></$list>\n</div>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter={{$:/temp/advancedsearch}}/>\"\"\">\n<div class=\"tc-search-results\">\n<<lingo Filter/Matches>>\n<$list filter={{$:/temp/advancedsearch}}>\n<span class={{{[<currentTiddler>addsuffix[-primaryList]] -[[$:/temp/advancedsearch/selected-item]get[text]] +[then[]else[tc-list-item-selected]] }}}>\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</span>\n</$list>\n</div>\n</$set>\n</$reveal>\n"
        },
        "$:/core/ui/AdvancedSearch/Filter/FilterButtons/clear": {
            "title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/clear",
            "tags": "$:/tags/AdvancedSearch/FilterButton",
            "text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<<cancel-search-actions>>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=\"\"\".tc-advanced-search input\"\"\" />\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n"
        },
        "$:/core/ui/AdvancedSearch/Filter/FilterButtons/delete": {
            "title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/delete",
            "tags": "$:/tags/AdvancedSearch/FilterButton",
            "text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button popup=<<qualify \"$:/state/filterDeleteDropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/delete-button}}\n</$button>\n</$reveal>\n\n<$reveal state=<<qualify \"$:/state/filterDeleteDropdown\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<div class=\"tc-dropdown-item-plain\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter={{$:/temp/advancedsearch}}/>\"\"\">\nAre you sure you wish to delete <<resultCount>> tiddler(s)?\n</$set>\n</div>\n<div class=\"tc-dropdown-item-plain\">\n<$button class=\"tc-btn\">\n<$action-deletetiddler $filter={{$:/temp/advancedsearch}}/>\nDelete these tiddlers\n</$button>\n</div>\n</div>\n</div>\n</$reveal>\n"
        },
        "$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown": {
            "title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown",
            "tags": "$:/tags/AdvancedSearch/FilterButton",
            "text": "<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/filterDropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n</$button>\n</span>\n\n<$reveal state=<<qualify \"$:/state/filterDropdown\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$linkcatcher actions=\"\"\"<$action-setfield $tiddler=\"$:/temp/advancedsearch\" text=<<navigateTo>>/><$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" text=<<navigateTo>>/><$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/><$action-sendmessage $message=\"tm-focus-selector\" $param='.tc-advanced-search input' />\"\"\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Filter]]\"><$link to={{!!filter}}><$transclude field=\"description\"/></$link>\n</$list>\n</div>\n</div>\n</$linkcatcher>\n</$set>\n</$reveal>\n"
        },
        "$:/core/ui/AdvancedSearch/Filter/FilterButtons/export": {
            "title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/export",
            "tags": "$:/tags/AdvancedSearch/FilterButton",
            "text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$macrocall $name=\"exportButton\" exportFilter={{$:/temp/advancedsearch}} lingoBase=\"$:/language/Buttons/ExportTiddlers/\"/>\n</$reveal>\n"
        },
        "$:/core/ui/AdvancedSearch/Shadows": {
            "title": "$:/core/ui/AdvancedSearch/Shadows",
            "tags": "$:/tags/AdvancedSearch",
            "caption": "{{$:/language/Search/Shadows/Caption}}",
            "first-search-filter": "[all[shadows]search<userInput>sort[title]limit[250]] -[[$:/temp/advancedsearch]] -[[$:/temp/advancedsearch/input]]",
            "text": "\\define lingo-base() $:/language/Search/\n\n\\define set-next-input-tab(beforeafter:\"after\") <$macrocall $name=\"change-input-tab\" stateTitle=\"$:/state/tab--1498284803\" tag=\"$:/tags/AdvancedSearch\" beforeafter=\"$beforeafter$\" defaultState=\"$:/core/ui/AdvancedSearch/System\" actions=\"\"\"<$action-setfield $tiddler=\"$:/state/advancedsearch/currentTab\" text=<<nextTab>>/>\"\"\"/>\n\n\\define cancel-search-actions() <$list filter=\"[{$:/temp/advancedsearch}!match{$:/temp/advancedsearch/input}]\" emptyMessage=\"\"\"<$action-deletetiddler $filter=\"[[$:/temp/advancedsearch]] [[$:/temp/advancedsearch/input]] [[$:/temp/advancedsearch/selected-item]]\" />\"\"\"><$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" text={{$:/temp/advancedsearch}}/><$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/></$list><$action-sendmessage $message=\"tm-focus-selector\" $param=\"\"\".tc-advanced-search input\"\"\"/>\n\n\\define input-accept-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\"\"\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\n\n\\define input-accept-variant-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{  [<__tiddler__>get[text]] }}}/></$list></$list>\"\"\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{  [<__tiddler__>get[text]] }}}/></$list></$list>\n\n<<lingo Shadows/Hint>>\n\n<div class=\"tc-search\">\n<$keyboard key=\"((input-tab-right))\" actions=<<set-next-input-tab>>>\n<$keyboard key=\"((input-tab-left))\" actions=<<set-next-input-tab \"before\">>>\n<$macrocall $name=\"keyboard-driven-input\" tiddler=\"$:/temp/advancedsearch/input\" storeTitle=\"$:/temp/advancedsearch\"\n\t\trefreshTitle=\"$:/temp/advancedsearch/refresh\" selectionStateTitle=\"$:/temp/advancedsearch/selected-item\" type=\"search\"\n\t\ttag=\"input\" focus={{$:/config/Search/AutoFocus}} configTiddlerFilter=\"[[$:/core/ui/AdvancedSearch/Shadows]]\"\n\t\tinputCancelActions=<<cancel-search-actions>> inputAcceptActions=<<input-accept-actions>> \n\t\tinputAcceptVariantActions=<<input-accept-variant-actions>>  filterMinLength={{$:/config/Search/MinLength}}/>\n</$keyboard>\n</$keyboard>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<<cancel-search-actions>>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[all[shadows]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]] -[[$:/temp/advancedsearch/input]]\"/>\"\"\">\n\n<div class=\"tc-search-results\">\n\n<<lingo Shadows/Matches>>\n\n<$list filter=\"[all[shadows]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]] -[[$:/temp/advancedsearch/input]]\">\n<span class={{{[<currentTiddler>addsuffix[-primaryList]] -[[$:/temp/advancedsearch/selected-item]get[text]] +[then[]else[tc-list-item-selected]] }}}>\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</span>\n</$list>\n\n</div>\n\n</$set>\n\n</$list>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"
        },
        "$:/core/ui/AdvancedSearch/Standard": {
            "title": "$:/core/ui/AdvancedSearch/Standard",
            "tags": "$:/tags/AdvancedSearch",
            "caption": "{{$:/language/Search/Standard/Caption}}",
            "text": "\\define lingo-base() $:/language/Search/\n\\define set-next-input-tab(beforeafter:\"after\") <$macrocall $name=\"change-input-tab\" stateTitle=\"$:/state/tab--1498284803\" tag=\"$:/tags/AdvancedSearch\" beforeafter=\"$beforeafter$\" defaultState=\"$:/core/ui/AdvancedSearch/System\" actions=\"\"\"<$action-setfield $tiddler=\"$:/state/advancedsearch/currentTab\" text=<<nextTab>>/>\"\"\"/>\n\n\\define next-search-tab(beforeafter:\"after\") <$macrocall $name=\"change-input-tab\" stateTitle=\"$:/state/tab/search-results/advancedsearch\" tag=\"$:/tags/SearchResults\" beforeafter=\"$beforeafter$\" defaultState={{$:/config/SearchResults/Default}} actions=\"\"\"<$action-setfield $tiddler=\"$:/state/advancedsearch/standard/currentTab\" text=<<nextTab>>/>\"\"\"/>\n\n\\define cancel-search-actions() <$list filter=\"[{$:/temp/advancedsearch}!match{$:/temp/advancedsearch/input}]\" emptyMessage=\"\"\"<$action-deletetiddler $filter=\"[[$:/temp/advancedsearch]] [[$:/temp/advancedsearch/input]] [[$:/temp/advancedsearch/selected-item]]\" />\"\"\"><$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" text={{$:/temp/advancedsearch}}/><$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/></$list><$action-sendmessage $message=\"tm-focus-selector\" $param=\"\"\".tc-advanced-search input\"\"\"/>\n\n\\define input-accept-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\"\"\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\n\n\\define input-accept-variant-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{  [<__tiddler__>get[text]] }}}/></$list></$list>\"\"\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{  [<__tiddler__>get[text]] }}}/></$list></$list>\n\n<<lingo Standard/Hint>>\n\n<div class=\"tc-search\">\n<$keyboard key=\"((input-tab-right))\" actions=<<set-next-input-tab>>>\n<$keyboard key=\"((input-tab-left))\" actions=<<set-next-input-tab \"before\">>>\n<$keyboard key=\"shift-alt-Right\" actions=<<next-search-tab>>>\n<$keyboard key=\"shift-alt-Left\" actions=<<next-search-tab \"before\">>>\n<$macrocall $name=\"keyboard-driven-input\" tiddler=\"$:/temp/advancedsearch/input\" storeTitle=\"$:/temp/advancedsearch\"\n\t\trefreshTitle=\"$:/temp/advancedsearch/refresh\" selectionStateTitle=\"$:/temp/advancedsearch/selected-item\" type=\"search\"\n\t\ttag=\"input\" focus={{$:/config/Search/AutoFocus}} inputCancelActions=<<cancel-search-actions>> \n\t\tinputAcceptActions=<<input-accept-actions>> inputAcceptVariantActions=<<input-accept-variant-actions>> \n\t\tconfigTiddlerFilter=\"[[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}]\"\n\t\tfilterMinLength={{$:/config/Search/MinLength}}/>\n</$keyboard>\n</$keyboard>\n</$keyboard>\n</$keyboard>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<<cancel-search-actions>>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n<$vars userInput={{{ [[$:/temp/advancedsearch]get[text]] }}} configTiddler={{{ [[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}] }}} searchListState=\"$:/temp/advancedsearch/selected-item\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\" emptyMessage=\"\"\"\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\">\n<$transclude/>\n</$list>\n\"\"\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\" default={{$:/config/SearchResults/Default}} actions=\"\"\"<$action-setfield $tiddler=\"$:/state/advancedsearch/standard/currentTab\" text=<<currentTab>>/>\"\"\" explicitState=\"$:/state/tab/search-results/advancedsearch\" />\n</$list>\n</$vars>\n</$list>\n</$reveal>\n"
        },
        "$:/core/ui/AdvancedSearch/System": {
            "title": "$:/core/ui/AdvancedSearch/System",
            "tags": "$:/tags/AdvancedSearch",
            "caption": "{{$:/language/Search/System/Caption}}",
            "first-search-filter": "[is[system]search<userInput>sort[title]limit[250]] -[[$:/temp/advancedsearch]] -[[$:/temp/advancedsearch/input]] -[[$:/temp/advancedsearch/selected-item]]",
            "text": "\\define lingo-base() $:/language/Search/\n\\define set-next-input-tab(beforeafter:\"after\",stateTitle,tag,defaultState,currentTabTiddler) <$macrocall $name=\"change-input-tab\" stateTitle=\"$:/state/tab--1498284803\" tag=\"$:/tags/AdvancedSearch\" beforeafter=\"$beforeafter$\" defaultState=\"$:/core/ui/AdvancedSearch/System\" actions=\"\"\"<$action-setfield $tiddler=\"$:/state/advancedsearch/currentTab\" text=<<nextTab>>/>\"\"\"/>\n\n\\define cancel-search-actions() <$list filter=\"[{$:/temp/advancedsearch}!match{$:/temp/advancedsearch/input}]\" emptyMessage=\"\"\"<$action-deletetiddler $filter=\"[[$:/temp/advancedsearch]] [[$:/temp/advancedsearch/input]] [[$:/temp/advancedsearch/selected-item]]\" />\"\"\"><$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" text={{$:/temp/advancedsearch}}/><$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/></$list><$action-sendmessage $message=\"tm-focus-selector\" $param=\"\"\".tc-advanced-search input\"\"\"/>\n\n\\define input-accept-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\"\"\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\n\n\\define input-accept-variant-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{  [<__tiddler__>get[text]] }}}/></$list></$list>\"\"\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{  [<__tiddler__>get[text]] }}}/></$list></$list>\n\n<<lingo System/Hint>>\n\n<div class=\"tc-search\">\n<$keyboard key=\"((input-tab-right))\" actions=<<set-next-input-tab>>>\n<$keyboard key=\"((input-tab-left))\" actions=<<set-next-input-tab \"before\">>>\n<$macrocall $name=\"keyboard-driven-input\" tiddler=\"$:/temp/advancedsearch/input\" storeTitle=\"$:/temp/advancedsearch\"\n\t\trefreshTitle=\"$:/temp/advancedsearch/refresh\" selectionStateTitle=\"$:/temp/advancedsearch/selected-item\"\n\t\ttype=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}} configTiddlerFilter=\"[[$:/core/ui/AdvancedSearch/System]]\"\n\t\tinputCancelActions=<<cancel-search-actions>> inputAcceptActions=<<input-accept-actions>> \n\t\tinputAcceptVariantActions=<<input-accept-variant-actions>> filterMinLength={{$:/config/Search/MinLength}}/>\n</$keyboard>\n</$keyboard>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<<cancel-search-actions>>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[is[system]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]] -[[$:/temp/advancedsearch/input]] -[[$:/temp/advancedsearch/selected-item]]\"/>\"\"\">\n\n<div class=\"tc-search-results\">\n\n<<lingo System/Matches>>\n\n<$list filter=\"[is[system]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]] -[[$:/temp/advancedsearch/input]] -[[$:/temp/advancedsearch/selected-item]]\">\n<span class={{{[<currentTiddler>addsuffix[-primaryList]] -[[$:/temp/advancedsearch/selected-item]get[text]] +[then[]else[tc-list-item-selected]] }}}>\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</span>\n</$list>\n\n</div>\n\n</$set>\n\n</$list>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"
        },
        "$:/AdvancedSearch": {
            "title": "$:/AdvancedSearch",
            "icon": "$:/core/images/advanced-search-button",
            "color": "#bbb",
            "text": "<div class=\"tc-advanced-search\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch]!has[draft.of]]\" default=\"$:/core/ui/AdvancedSearch/System\" actions=\"\"\"<$action-setfield $tiddler=\"$:/state/advancedsearch/currentTab\" text=<<currentTab>>/>\"\"\" explicitState=\"$:/state/tab--1498284803\"/>\n</div>\n"
        },
        "$:/core/ui/AlertTemplate": {
            "title": "$:/core/ui/AlertTemplate",
            "text": "<div class=\"tc-alert\">\n<div class=\"tc-alert-toolbar\">\n<$button class=\"tc-btn-invisible\"><$action-deletetiddler $tiddler=<<currentTiddler>>/>{{$:/core/images/cancel-button}}</$button>\n</div>\n<div class=\"tc-alert-subtitle\">\n<$wikify name=\"format\" text=<<lingo Tiddler/DateFormat>>>\n<$view field=\"component\"/> - <$view field=\"modified\" format=\"date\" template=<<format>>/> <$reveal type=\"nomatch\" state=\"!!count\" text=\"\"><span class=\"tc-alert-highlight\">({{$:/language/Count}}: <$view field=\"count\"/>)</span></$reveal>\n</$wikify>\n</div>\n<div class=\"tc-alert-body\">\n\n<$transclude/>\n\n</div>\n</div>\n"
        },
        "$:/core/ui/BinaryWarning": {
            "title": "$:/core/ui/BinaryWarning",
            "text": "\\define lingo-base() $:/language/BinaryWarning/\n<<lingo Prompt>>\n"
        },
        "$:/core/ui/Components/plugin-info": {
            "title": "$:/core/ui/Components/plugin-info",
            "text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n\\define popup-state-macro()\n$(qualified-state)$-$(currentTiddler)$\n\\end\n\n\\define tabs-state-macro()\n$(popup-state)$-$(pluginInfoType)$\n\\end\n\n\\define plugin-icon-title()\n$(currentTiddler)$/icon\n\\end\n\n\\define plugin-disable-title()\n$:/config/Plugins/Disabled/$(currentTiddler)$\n\\end\n\n\\define plugin-table-body(type,disabledMessage,default-popup-state)\n<div class=\"tc-plugin-info-chunk tc-plugin-info-toggle\">\n<$reveal type=\"nomatch\" state=<<popup-state>> text=\"yes\" default=\"\"\"$default-popup-state$\"\"\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"yes\">\n{{$:/core/images/chevron-right}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<popup-state>> text=\"yes\" default=\"\"\"$default-popup-state$\"\"\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"no\">\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-icon\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<plugin-icon-title>>>\n<$transclude tiddler=\"$:/core/images/plugin-generic-$type$\"/>\n</$transclude>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-description\">\n<h1>\n''<$text text={{{ [<currentTiddler>get[name]] ~[<currentTiddler>split[/]last[1]] }}}/>'': <$view field=\"description\"><$view field=\"title\"/></$view> $disabledMessage$\n</h1>\n<h2>\n<$view field=\"title\"/>\n</h2>\n<h2>\n<div><em><$view field=\"version\"/></em></div>\n</h2>\n</div>\n\\end\n\n\\define plugin-info(type,default-popup-state)\n<$set name=\"popup-state\" value=<<popup-state-macro>>>\n<$reveal type=\"nomatch\" state=<<plugin-disable-title>> text=\"yes\">\n<$link to={{!!title}} class=\"tc-plugin-info\">\n<<plugin-table-body type:\"$type$\" default-popup-state:\"\"\"$default-popup-state$\"\"\">>\n</$link>\n</$reveal>\n<$reveal type=\"match\" state=<<plugin-disable-title>> text=\"yes\">\n<$link to={{!!title}} class=\"tc-plugin-info tc-plugin-info-disabled\">\n<<plugin-table-body type:\"$type$\" default-popup-state:\"\"\"$default-popup-state$\"\"\" disabledMessage:\"<$macrocall $name='lingo' title='Disabled/Status'/>\">>\n</$link>\n</$reveal>\n<$reveal type=\"match\" text=\"yes\" state=<<popup-state>> default=\"\"\"$default-popup-state$\"\"\">\n<div class=\"tc-plugin-info-dropdown\">\n<div class=\"tc-plugin-info-dropdown-body\">\n<$list filter=\"[all[current]] -[[$:/core]]\">\n<div style=\"float:right;\">\n<$reveal type=\"nomatch\" state=<<plugin-disable-title>> text=\"yes\">\n<$button set=<<plugin-disable-title>> setTo=\"yes\" tooltip={{$:/language/ControlPanel/Plugins/Disable/Hint}} aria-label={{$:/language/ControlPanel/Plugins/Disable/Caption}}>\n<<lingo Disable/Caption>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<plugin-disable-title>> text=\"yes\">\n<$button set=<<plugin-disable-title>> setTo=\"no\" tooltip={{$:/language/ControlPanel/Plugins/Enable/Hint}} aria-label={{$:/language/ControlPanel/Plugins/Enable/Caption}}>\n<<lingo Enable/Caption>>\n</$button>\n</$reveal>\n</div>\n</$list>\n<$set name=\"tabsList\" filter=\"[<currentTiddler>list[]] contents\">\n<$macrocall $name=\"tabs\" state=<<tabs-state-macro>> tabsList=<<tabsList>> default={{{ [enlist<tabsList>] }}} template=\"$:/core/ui/PluginInfo\"/>\n</$set>\n</div>\n</div>\n</$reveal>\n</$set>\n\\end\n\n<$macrocall $name=\"plugin-info\" type=<<plugin-type>> default-popup-state=<<default-popup-state>>/>\n"
        },
        "$:/core/ui/Components/tag-link": {
            "title": "$:/core/ui/Components/tag-link",
            "text": "<$link>\n<$set name=\"backgroundColor\" value={{!!color}}>\n<span style=<<tag-styles>> class=\"tc-tag-label\">\n<$view field=\"title\" format=\"text\"/>\n</span>\n</$set>\n</$link>"
        },
        "$:/core/ui/ControlPanel/Advanced": {
            "title": "$:/core/ui/ControlPanel/Advanced",
            "tags": "$:/tags/ControlPanel/Info",
            "caption": "{{$:/language/ControlPanel/Advanced/Caption}}",
            "text": "{{$:/language/ControlPanel/Advanced/Hint}}\n\n<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Advanced]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/TiddlerFields\" explicitState=\"$:/state/tab--959111941\"/>\n</div>\n"
        },
        "$:/core/ui/ControlPanel/Appearance": {
            "title": "$:/core/ui/ControlPanel/Appearance",
            "tags": "$:/tags/ControlPanel",
            "caption": "{{$:/language/ControlPanel/Appearance/Caption}}",
            "text": "{{$:/language/ControlPanel/Appearance/Hint}}\n\n<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Appearance]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/Theme\" explicitState=\"$:/state/tab--1963855381\"/>\n</div>\n"
        },
        "$:/core/ui/ControlPanel/Basics": {
            "title": "$:/core/ui/ControlPanel/Basics",
            "tags": "$:/tags/ControlPanel/Info",
            "caption": "{{$:/language/ControlPanel/Basics/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Basics/\n\n\\define show-filter-count(filter)\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $value=\"\"\"$filter$\"\"\"/>\n<$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" $value=\"\"\"$filter$\"\"\"/>\n<$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/>\n<$action-setfield $tiddler=\"$:/state/tab--1498284803\" $value=\"$:/core/ui/AdvancedSearch/Filter\"/>\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=\".tc-advanced-search input\"/>\n''<$count filter=\"\"\"$filter$\"\"\"/>''\n{{$:/core/images/advanced-search-button}}\n</$button>\n\\end\n\n|<<lingo Version/Prompt>> |''<<version>>'' |\n|<$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/status/UserName\"><<lingo Username/Prompt>></$link> |<$edit-text tiddler=\"$:/status/UserName\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/AnimationDuration\"><<lingo AnimDuration/Prompt>></$link> |<$edit-text tiddler=\"$:/config/AnimationDuration\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\" class=\"tc-edit-texteditor\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n|<$link to=\"$:/language/DefaultNewTiddlerTitle\"><<lingo NewTiddler/Title/Prompt>></$link> |<$edit-text tiddler=\"$:/language/DefaultNewTiddlerTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/NewJournal/Title\"><<lingo NewJournal/Title/Prompt>></$link> |<$edit-text tiddler=\"$:/config/NewJournal/Title\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/NewJournal/Text\"><<lingo NewJournal/Text/Prompt>></$link> |<$edit tiddler=\"$:/config/NewJournal/Text\" tag=\"textarea\" class=\"tc-edit-texteditor\" default=\"\"/> |\n|<$link to=\"$:/config/NewTiddler/Tags\"><<lingo NewTiddler/Tags/Prompt>></$link> |<$vars currentTiddler=\"$:/config/NewTiddler/Tags\" tagField=\"text\">{{||$:/core/ui/EditTemplate/tags}}<$list filter=\"[<currentTiddler>tags[]] +[limit[1]]\" variable=\"ignore\"><$button tooltip={{$:/language/ControlPanel/Basics/RemoveTags/Hint}}><<lingo RemoveTags>><$action-listops $tiddler=<<currentTiddler>> $field=\"text\" $subfilter={{{ [<currentTiddler>get[tags]] }}}/><$action-setfield $tiddler=<<currentTiddler>> tags=\"\"/></$button></$list></$vars> |\n|<$link to=\"$:/config/NewJournal/Tags\"><<lingo NewJournal/Tags/Prompt>></$link> |<$vars currentTiddler=\"$:/config/NewJournal/Tags\" tagField=\"text\">{{||$:/core/ui/EditTemplate/tags}}<$list filter=\"[<currentTiddler>tags[]] +[limit[1]]\" variable=\"ignore\"><$button tooltip={{$:/language/ControlPanel/Basics/RemoveTags/Hint}}><<lingo RemoveTags>><$action-listops $tiddler=<<currentTiddler>> $field=\"text\" $subfilter={{{ [<currentTiddler>get[tags]] }}}/><$action-setfield $tiddler=<<currentTiddler>> tags=\"\"/></$button></$list></$vars> |\n|<$link to=\"$:/config/AutoFocus\"><<lingo AutoFocus/Prompt>></$link> |{{$:/snippets/minifocusswitcher}} |\n|<<lingo Language/Prompt>> |{{$:/snippets/minilanguageswitcher}} |\n|<<lingo Tiddlers/Prompt>> |<<show-filter-count \"[!is[system]sort[title]]\">> |\n|<<lingo Tags/Prompt>> |<<show-filter-count \"[tags[]sort[title]]\">> |\n|<<lingo SystemTiddlers/Prompt>> |<<show-filter-count \"[is[system]sort[title]]\">> |\n|<<lingo ShadowTiddlers/Prompt>> |<<show-filter-count \"[all[shadows]sort[title]]\">> |\n|<<lingo OverriddenShadowTiddlers/Prompt>> |<<show-filter-count \"[is[tiddler]is[shadow]sort[title]]\">> |\n"
        },
        "$:/core/ui/ControlPanel/EditorTypes": {
            "title": "$:/core/ui/ControlPanel/EditorTypes",
            "tags": "$:/tags/ControlPanel/Advanced",
            "caption": "{{$:/language/ControlPanel/EditorTypes/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/EditorTypes/\n\n<<lingo Hint>>\n\n<table>\n<tbody>\n<tr>\n<th><<lingo Type/Caption>></th>\n<th><<lingo Editor/Caption>></th>\n</tr>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/config/EditorTypeMappings/]sort[title]]\">\n<tr>\n<td>\n<$link>\n<$list filter=\"[all[current]removeprefix[$:/config/EditorTypeMappings/]]\">\n<$text text={{!!title}}/>\n</$list>\n</$link>\n</td>\n<td>\n<$view field=\"text\"/>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
        },
        "$:/core/ui/ControlPanel/Info": {
            "title": "$:/core/ui/ControlPanel/Info",
            "tags": "$:/tags/ControlPanel",
            "caption": "{{$:/language/ControlPanel/Info/Caption}}",
            "text": "{{$:/language/ControlPanel/Info/Hint}}\n\n<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Info]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/Basics\" explicitState=\"$:/state/tab--2112689675\"/>\n</div>\n"
        },
        "$:/core/ui/ControlPanel/KeyboardShortcuts": {
            "title": "$:/core/ui/ControlPanel/KeyboardShortcuts",
            "tags": "$:/tags/ControlPanel",
            "caption": "{{$:/language/ControlPanel/KeyboardShortcuts/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/KeyboardShortcuts/\n\n\\define new-shortcut(title)\n<div class=\"tc-dropdown-item-plain\">\n<$edit-shortcut tiddler=\"$title$\" placeholder={{$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt}} focus=\"true\" style=\"width:auto;\"/> <$button>\n<<lingo Add/Caption>>\n<$action-listops\n\t$tiddler=\"$(shortcutTitle)$\"\n\t$field=\"text\"\n\t$subfilter=\"[{$title$}]\"\n/>\n<$action-deletetiddler\n\t$tiddler=\"$title$\"\n/>\n</$button>\n</div>\n\\end\n\n\\define shortcut-list-item(caption)\n<td>\n</td>\n<td style=\"text-align:right;font-size:0.7em;\">\n<<lingo Platform/$caption$>>\n</td>\n<td>\n<div style=\"position:relative;\">\n<$button popup=<<qualify \"$:/state/dropdown/$(shortcutTitle)$\">> class=\"tc-btn-invisible\">\n{{$:/core/images/edit-button}}\n</$button>\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts={{$(shortcutTitle)$}} prefix=\"<kbd>\" separator=\"</kbd> <kbd>\" suffix=\"</kbd>\"/>\n\n<$reveal state=<<qualify \"$:/state/dropdown/$(shortcutTitle)$\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown tc-popup-keep\">\n<$list filter=\"[list[$(shortcutTitle)$!!text]sort[title]]\" variable=\"shortcut\" emptyMessage=\"\"\"\n<div class=\"tc-dropdown-item-plain\">\n//<<lingo NoShortcuts/Caption>>//\n</div>\n\"\"\">\n<div class=\"tc-dropdown-item-plain\">\n<$button class=\"tc-btn-invisible\" tooltip={{$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint}}>\n<$action-listops\n\t$tiddler=\"$(shortcutTitle)$\"\n\t$field=\"text\"\n\t$subfilter=\"+[remove<shortcut>]\"\n/>\n<small>{{$:/core/images/close-button}}</small>\n</$button>\n<kbd>\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts=<<shortcut>>/>\n</kbd>\n</div>\n</$list>\n<hr/>\n<$macrocall $name=\"new-shortcut\" title=<<qualify \"$:/state/new-shortcut/$(shortcutTitle)$\">>/>\n</div>\n</div>\n</$reveal>\n</div>\n</td>\n\\end\n\n\\define shortcut-list(caption,prefix)\n<tr>\n<$list filter=\"[[$prefix$$(shortcutName)$]]\" variable=\"shortcutTitle\">\n<<shortcut-list-item \"$caption$\">>\n</$list>\n</tr>\n\\end\n\n\\define shortcut-editor()\n<<shortcut-list \"All\" \"$:/config/shortcuts/\">>\n<<shortcut-list \"Mac\" \"$:/config/shortcuts-mac/\">>\n<<shortcut-list \"NonMac\" \"$:/config/shortcuts-not-mac/\">>\n<<shortcut-list \"Linux\" \"$:/config/shortcuts-linux/\">>\n<<shortcut-list \"NonLinux\" \"$:/config/shortcuts-not-linux/\">>\n<<shortcut-list \"Windows\" \"$:/config/shortcuts-windows/\">>\n<<shortcut-list \"NonWindows\" \"$:/config/shortcuts-not-windows/\">>\n\\end\n\n\\define shortcut-preview()\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts={{$(shortcutPrefix)$$(shortcutName)$}} prefix=\"<kbd>\" separator=\"</kbd> <kbd>\" suffix=\"</kbd>\"/>\n\\end\n\n\\define shortcut-item-inner()\n<tr>\n<td>\n<$reveal type=\"nomatch\" state=<<dropdownStateTitle>> text=\"open\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield\n\t$tiddler=<<dropdownStateTitle>>\n\t$value=\"open\"\n/>\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<dropdownStateTitle>> text=\"open\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield\n\t$tiddler=<<dropdownStateTitle>>\n\t$value=\"close\"\n/>\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n''<$text text=<<shortcutName>>/>''\n</td>\n<td>\n<$transclude tiddler=\"$:/config/ShortcutInfo/$(shortcutName)$\"/>\n</td>\n<td>\n<$list filter=\"$:/config/shortcuts/ $:/config/shortcuts-mac/ $:/config/shortcuts-not-mac/ $:/config/shortcuts-linux/ $:/config/shortcuts-not-linux/ $:/config/shortcuts-windows/ $:/config/shortcuts-not-windows/\" variable=\"shortcutPrefix\">\n<<shortcut-preview>>\n</$list>\n</td>\n</tr>\n<$set name=\"dropdownState\" value={{$(dropdownStateTitle)$}}>\n<$list filter=\"[<dropdownState>match[open]]\" variable=\"listItem\">\n<<shortcut-editor>>\n</$list>\n</$set>\n\\end\n\n\\define shortcut-item()\n<$set name=\"dropdownStateTitle\" value=<<qualify \"$:/state/dropdown/keyboardshortcut/$(shortcutName)$\">>>\n<<shortcut-item-inner>>\n</$set>\n\\end\n\n<table>\n<tbody>\n<$list filter=\"[all[shadows+tiddlers]removeprefix[$:/config/ShortcutInfo/]]\" variable=\"shortcutName\">\n<<shortcut-item>>\n</$list>\n</tbody>\n</table>\n"
        },
        "$:/core/ui/ControlPanel/LoadedModules": {
            "title": "$:/core/ui/ControlPanel/LoadedModules",
            "tags": "$:/tags/ControlPanel/Advanced",
            "caption": "{{$:/language/ControlPanel/LoadedModules/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/\n<<lingo LoadedModules/Hint>>\n\n{{$:/snippets/modules}}\n"
        },
        "$:/core/ui/ControlPanel/Modals/AddPlugins": {
            "title": "$:/core/ui/ControlPanel/Modals/AddPlugins",
            "subtitle": "{{$:/core/images/download-button}} {{$:/language/ControlPanel/Plugins/Add/Caption}}",
            "text": "\\define install-plugin-actions()\n<$action-sendmessage $message=\"tm-load-plugin-from-library\" url={{!!url}} title={{$(assetInfo)$!!original-title}}/>\n<$set name=\"url\" value={{!!url}}>\n<$set name=\"currentTiddler\" value=<<assetInfo>>>\n<$list filter=\"[enlist{!!dependents}] [{!!parent-plugin}] +[sort[name]]\" variable=\"dependency\">\n<$action-sendmessage $message=\"tm-load-plugin-from-library\" url=<<url>> title=<<dependency>>/>\n</$list>\n</$set>\n</$set>\n\\end\n\n\\define install-plugin-button()\n<div>\n<$set name=\"libraryVersion\" value={{{ [<assetInfo>get[version]] }}}>\n<$set name=\"installedVersion\" value={{{ [<assetInfo>get[original-title]get[version]] }}}>\n<$set name=\"reinstall-type\" value={{{ [<libraryVersion>compare:version:eq<installedVersion>then[tc-reinstall]] [<libraryVersion>compare:version:gt<installedVersion>then[tc-reinstall-upgrade]] [<libraryVersion>compare:version:lt<installedVersion>then[tc-reinstall-downgrade]] }}}>\n<$button actions=<<install-plugin-actions>> class={{{ [<assetInfo>get[original-title]has[version]then<reinstall-type>] tc-btn-invisible tc-install-plugin +[join[ ]] }}}>\n{{$:/core/images/download-button}}\n<$list filter=\"[<assetInfo>get[original-title]get[version]]\" variable=\"ignore\" emptyMessage=\"{{$:/language/ControlPanel/Plugins/Install/Caption}}\">\n<$list filter=\"[<libraryVersion>compare:version:gt<installedVersion>]\" variable=\"ignore\" emptyMessage=\"\"\"\n<$list filter=\"[<libraryVersion>compare:version:lt<installedVersion>]\" variable=\"ignore\" emptyMessage=\"{{$:/language/ControlPanel/Plugins/Reinstall/Caption}}\">\n{{$:/language/ControlPanel/Plugins/Downgrade/Caption}}\n</$list>\n\"\"\">\n{{$:/language/ControlPanel/Plugins/Update/Caption}}\n</$list>\n</$list>\n</$button>\n<div>\n</div>\n<$reveal stateTitle=<<assetInfo>> stateField=\"requires-reload\" type=\"match\" text=\"yes\">{{$:/language/ControlPanel/Plugins/PluginWillRequireReload}}</$reveal>\n</$set>\n</$set>\n</$set>\n</div>\n\\end\n\n\\define popup-state-macro()\n$:/state/add-plugin-info/$(connectionTiddler)$/$(assetInfo)$\n\\end\n\n\\define display-plugin-info(type)\n<$set name=\"popup-state\" value=<<popup-state-macro>>>\n<div class=\"tc-plugin-info\">\n<div class=\"tc-plugin-info-chunk tc-plugin-info-toggle\">\n<$reveal type=\"nomatch\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"yes\">\n{{$:/core/images/chevron-right}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"no\">\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-icon\">\n<$list filter=\"[<assetInfo>has[icon]]\" emptyMessage=\"\"\"<$transclude tiddler=\"$:/core/images/plugin-generic-$type$\"/>\"\"\">\n<img src={{$(assetInfo)$!!icon}}/>\n</$list>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-description\">\n<h1><strong><$text text={{{ [<assetInfo>get[name]] ~[<assetInfo>get[original-title]split[/]last[1]] }}}/></strong>: <$view tiddler=<<assetInfo>> field=\"description\"/></h1>\n<h2><$view tiddler=<<assetInfo>> field=\"original-title\"/></h2>\n<div><em><$view tiddler=<<assetInfo>> field=\"version\"/></em></div>\n<$list filter=\"[<assetInfo>get[original-title]get[version]]\" variable=\"installedVersion\"><div><em>{{$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint}}</em></div></$list>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-buttons\">\n<<install-plugin-button>>\n</div>\n</div>\n<$set name=\"original-title\" value={{{ [<assetInfo>get[original-title]] }}}>\n<$reveal type=\"match\" text=\"yes\" state=<<popup-state>>>\n<div class=\"tc-plugin-info-dropdown\">\n<$list filter=\"[enlist{!!dependents}] [<currentTiddler>get[parent-plugin]] +[limit[1]] ~[<assetInfo>get[original-title]!is[tiddler]]\" variable=\"ignore\">\n<div class=\"tc-plugin-info-dropdown-message\">\n<$list filter=\"[<assetInfo>get[original-title]!is[tiddler]]\">\n{{$:/language/ControlPanel/Plugins/NotInstalled/Hint}}\n</$list>\n<$set name=\"currentTiddler\" value=<<assetInfo>>>\n<$list filter=\"[enlist{!!dependents}] [<currentTiddler>get[parent-plugin]] +[limit[1]]\" variable=\"ignore\">\n<div>\n{{$:/language/ControlPanel/Plugins/AlsoRequires}}\n<$list filter=\"[enlist{!!dependents}] [{!!parent-plugin}] +[sort[name]]\" variable=\"dependency\">\n<$text text=<<dependency>>/>\n</$list>\n</div>\n</$list>\n</$set>\n</div>\n</$list>\n<div class=\"tc-plugin-info-dropdown-body\">\n<$transclude tiddler=<<assetInfo>> field=\"readme\" mode=\"block\"/>\n</div>\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>limit[1]]\" variable=\"ignore\">\n<div class=\"tc-plugin-info-sub-plugins\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>sort[name]]\" variable=\"assetInfo\">\n<<display-plugin-info \"$type$\">>\n</$list>\n</div>\n</$list>\n</div>\n</$reveal>\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>limit[1]]\" variable=\"ignore\">\n<$reveal type=\"nomatch\" text=\"yes\" state=<<popup-state>> tag=\"div\" class=\"tc-plugin-info-sub-plugin-indicator\">\n<$wikify name=\"count\" text=\"\"\"<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>]\"/>\"\"\">\n<$button class=\"tc-btn-invisible\" set=<<popup-state>> setTo=\"yes\">\n{{$:/language/ControlPanel/Plugins/SubPluginPrompt}}\n</$button>\n</$wikify>\n</$reveal>\n</$list>\n</$set>\n</$set>\n\\end\n\n\\define load-plugin-library-button()\n<$list filter=\"[<currentTiddler>get[enabled]else[yes]match[yes]]\" variable=\"ignore\">\n<$button class=\"tc-btn-big-green\">\n<$action-sendmessage $message=\"tm-load-plugin-library\" url={{!!url}} infoTitlePrefix=\"$:/temp/RemoteAssetInfo/\"/>\n{{$:/core/images/chevron-right}} {{$:/language/ControlPanel/Plugins/OpenPluginLibrary}}\n</$button>\n</$list>\n\\end\n\n\\define display-server-assets(type)\n{{$:/language/Search/Search}}: <$edit-text tiddler=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" default=\"\" type=\"search\" tag=\"input\"/>\n<$reveal state=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n<div class=\"tc-plugin-library-listing\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]search:author,description,original-title,readme,title{$:/temp/RemoteAssetSearch/$(currentTiddler)$}sort[name]]\" variable=\"assetInfo\">\n<$list filter=\"[[$:/temp/RemoteAssetSearch/$(currentTiddler)$]has[text]] ~[<assetInfo>!has[parent-plugin]]\" variable=\"ignore\"><!-- Hide sub-plugins if we're not searching -->\n<<display-plugin-info \"$type$\">>\n</$list>\n</$list>\n</div>\n\\end\n\n\\define display-server-connection()\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/ServerConnection]suffix{!!url}]\" variable=\"connectionTiddler\" emptyMessage=<<load-plugin-library-button>>>\n\n<$set name=\"transclusion\" value=<<connectionTiddler>>>\n\n<<tabs \"[[$:/core/ui/ControlPanel/Plugins/Add/Updates]] [[$:/core/ui/ControlPanel/Plugins/Add/Plugins]] [[$:/core/ui/ControlPanel/Plugins/Add/Themes]] [[$:/core/ui/ControlPanel/Plugins/Add/Languages]]\" \"$:/core/ui/ControlPanel/Plugins/Add/Plugins\">>\n\n</$set>\n\n</$list>\n\\end\n\n\\define close-library-button()\n<$reveal type='nomatch' state='$:/temp/ServerConnection/$(PluginLibraryURL)$' text=''>\n<$button class='tc-btn-big-green'>\n<$action-sendmessage $message=\"tm-unload-plugin-library\" url={{!!url}}/>\n{{$:/core/images/chevron-left}} {{$:/language/ControlPanel/Plugins/ClosePluginLibrary}}\n<$action-deletetiddler $filter=\"[prefix[$:/temp/ServerConnection/$(PluginLibraryURL)$]][prefix[$:/temp/RemoteAssetInfo/$(PluginLibraryURL)$]]\"/>\n</$button>\n</$reveal>\n\\end\n\n\\define plugin-library-listing()\n<div class=\"tc-tab-set\">\n<$set name=\"defaultTab\" value={{{ [all[tiddlers+shadows]tag[$:/tags/PluginLibrary]] }}}>\n<div class=\"tc-tab-buttons\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/PluginLibrary]]\">\n<$button set=<<qualify \"$:/state/addplugins/tab\">> setTo=<<currentTiddler>> default=<<defaultTab>> selectedClass=\"tc-tab-selected\">\n<$set name=\"tv-wikilinks\" value=\"no\">\n<$transclude field=\"caption\"/>\n</$set>\n</$button>\n</$list>\n</div>\n<div class=\"tc-tab-divider\"/>\n<div class=\"tc-tab-content\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/PluginLibrary]]\">\n<$reveal type=\"match\" state=<<qualify \"$:/state/addplugins/tab\">> text=<<currentTiddler>> default=<<defaultTab>>>\n<h2><$link><$transclude field=\"caption\"><$view field=\"title\"/></$transclude></$link></h2>\n//<$view field=\"url\"/>//\n<$transclude mode=\"block\"/>\n<$set name=PluginLibraryURL value={{!!url}}>\n<<close-library-button>>\n</$set>\n<<display-server-connection>>\n</$reveal>\n</$list>\n</div>\n</$set>\n</div>\n\\end\n\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<div>\n<<plugin-library-listing>>\n</div>\n"
        },
        "$:/core/ui/ControlPanel/Palette": {
            "title": "$:/core/ui/ControlPanel/Palette",
            "tags": "$:/tags/ControlPanel/Appearance",
            "caption": "{{$:/language/ControlPanel/Palette/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Palette/\n\n{{$:/snippets/paletteswitcher}}\n\n<$reveal type=\"nomatch\" state=\"$:/state/ShowPaletteEditor\" text=\"yes\">\n\n<$button set=\"$:/state/ShowPaletteEditor\" setTo=\"yes\"><<lingo ShowEditor/Caption>></$button>\n\n</$reveal>\n\n<$reveal type=\"match\" state=\"$:/state/ShowPaletteEditor\" text=\"yes\">\n\n<$button set=\"$:/state/ShowPaletteEditor\" setTo=\"no\"><<lingo HideEditor/Caption>></$button>\n{{$:/PaletteManager}}\n\n</$reveal>\n\n"
        },
        "$:/core/ui/ControlPanel/Parsing": {
            "title": "$:/core/ui/ControlPanel/Parsing",
            "tags": "$:/tags/ControlPanel/Advanced",
            "caption": "{{$:/language/ControlPanel/Parsing/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Parsing/\n\n\\define toggle(Type)\n<$checkbox\ntiddler=\"\"\"$:/config/WikiParserRules/$Type$/$(rule)$\"\"\"\nfield=\"text\"\nchecked=\"enable\"\nunchecked=\"disable\"\ndefault=\"enable\">\n<<rule>>\n</$checkbox>\n\\end\n\n\\define rules(type,Type)\n<$list filter=\"[wikiparserrules[$type$]]\" variable=\"rule\">\n<dd><<toggle $Type$>></dd>\n</$list>\n\\end\n\n<<lingo Hint>>\n\n<dl>\n<dt><<lingo Pragma/Caption>></dt>\n<<rules pragma Pragma>>\n<dt><<lingo Inline/Caption>></dt>\n<<rules inline Inline>>\n<dt><<lingo Block/Caption>></dt>\n<<rules block Block>>\n</dl>"
        },
        "$:/core/ui/ControlPanel/Plugins/Add/Languages": {
            "title": "$:/core/ui/ControlPanel/Plugins/Add/Languages",
            "caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[language]]\"/>)",
            "text": "<<display-server-assets language>>\n"
        },
        "$:/core/ui/ControlPanel/Plugins/Add/Plugins": {
            "title": "$:/core/ui/ControlPanel/Plugins/Add/Plugins",
            "caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}}  (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[plugin]]\"/>)",
            "text": "<<display-server-assets plugin>>\n"
        },
        "$:/core/ui/ControlPanel/Plugins/Add/Themes": {
            "title": "$:/core/ui/ControlPanel/Plugins/Add/Themes",
            "caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}}  (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[theme]]\"/>)",
            "text": "<<display-server-assets theme>>\n"
        },
        "$:/core/ui/ControlPanel/Plugins/Add/Updates": {
            "title": "$:/core/ui/ControlPanel/Plugins/Add/Updates",
            "caption": "<$importvariables filter=\"$:/core/ui/ControlPanel/Plugins/Add/Updates\">{{$:/language/ControlPanel/Plugins/Updates/Caption}} (<<update-count>>)</$importvariables>",
            "text": "\\define each-updateable-plugin(body)\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}sort[title]]\" variable=\"assetInfo\">\n<$set name=\"libraryVersion\" value={{{ [<assetInfo>get[version]] }}}>\n<$list filter=\"[<assetInfo>get[original-title]has[version]!version<libraryVersion>]\" variable=\"ignore\">\n<$set name=\"installedVersion\" value={{{ [<assetInfo>get[original-title]get[version]] }}}>\n<$list filter=\"[<installedversion>!match<libraryVersion>]\" variable=\"ignore\">\n$body$\n</$list>\n</$set>\n</$list>\n</$set>\n</$list>\n\\end\n\n\\define update-all-actions()\n<$macrocall $name=\"each-updateable-plugin\" body=\"\"\"\n<<install-plugin-actions>>\n\"\"\"/>\n\\end\n\n\\define update-count()\n<$wikify name=\"count-filter\" text=<<each-updateable-plugin \"&#91;&#91;<$text text=<<assetInfo>>/>]]\">>><$count filter=<<count-filter>>/></$wikify>\n\\end\n\n<$button actions=<<update-all-actions>> class=\"tc-btn-invisible tc-install-plugin tc-reinstall-upgrade\">\n{{$:/core/images/download-button}} {{||$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption}}\n</$button>\n\n<div class=\"tc-plugin-library-listing\">\n<$macrocall $name=\"each-updateable-plugin\" body=\"\"\"\n<$macrocall $name=\"display-plugin-info\" type={{{ [<assetInfo>get[original-plugin-type]] }}}/>\n\"\"\"/>\n</div>\n"
        },
        "$:/core/ui/ControlPanel/Plugins/AddPlugins": {
            "title": "$:/core/ui/ControlPanel/Plugins/AddPlugins",
            "text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n<$button message=\"tm-modal\" param=\"$:/core/ui/ControlPanel/Modals/AddPlugins\" tooltip={{$:/language/ControlPanel/Plugins/Add/Hint}} class=\"tc-btn-big-green tc-primary-btn\">\n{{$:/core/images/download-button}} <<lingo Add/Caption>>\n</$button>\n"
        },
        "$:/core/ui/ControlPanel/Plugins/Installed/Languages": {
            "title": "$:/core/ui/ControlPanel/Plugins/Installed/Languages",
            "caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[language]]\"/>)",
            "text": "<<plugin-table language>>\n"
        },
        "$:/core/ui/ControlPanel/Plugins/Installed/Plugins": {
            "title": "$:/core/ui/ControlPanel/Plugins/Installed/Plugins",
            "caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[plugin]]\"/>)",
            "text": "<<plugin-table plugin>>\n"
        },
        "$:/core/ui/ControlPanel/Plugins/Installed/Themes": {
            "title": "$:/core/ui/ControlPanel/Plugins/Installed/Themes",
            "caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[theme]]\"/>)",
            "text": "<<plugin-table theme>>\n"
        },
        "$:/core/ui/ControlPanel/Plugins": {
            "title": "$:/core/ui/ControlPanel/Plugins",
            "tags": "$:/tags/ControlPanel",
            "caption": "{{$:/language/ControlPanel/Plugins/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n\\define plugin-table(type)\n<$set name=\"plugin-type\" value=\"\"\"$type$\"\"\">\n<$set name=\"qualified-state\" value=<<qualify \"$:/state/plugin-info\">>>\n<$list filter=\"[!has[draft.of]plugin-type[$type$]sort[name]]\" emptyMessage=<<lingo \"Empty/Hint\">> template=\"$:/core/ui/Components/plugin-info\"/>\n</$set>\n</$set>\n\\end\n\n{{$:/core/ui/ControlPanel/Plugins/AddPlugins}}\n\n<<lingo Installed/Hint>>\n\n<$macrocall $name=\"tabs\" tabsList=\"[[$:/core/ui/ControlPanel/Plugins/Installed/Plugins]] [[$:/core/ui/ControlPanel/Plugins/Installed/Themes]] [[$:/core/ui/ControlPanel/Plugins/Installed/Languages]]\" default=\"$:/core/ui/ControlPanel/Plugins/Installed/Plugins\" explicitState=\"$:/state/tab--86143343\"/>\n"
        },
        "$:/core/ui/ControlPanel/Saving/DownloadSaver": {
            "title": "$:/core/ui/ControlPanel/Saving/DownloadSaver",
            "tags": "$:/tags/ControlPanel/Saving",
            "caption": "{{$:/language/ControlPanel/Saving/DownloadSaver/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Saving/DownloadSaver/\n\n<<lingo Hint>>\n\n!! <$link to=\"$:/config/DownloadSaver/AutoSave\"><<lingo AutoSave/Hint>></$link>\n\n<$checkbox tiddler=\"$:/config/DownloadSaver/AutoSave\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <<lingo AutoSave/Description>> </$checkbox>\n"
        },
        "$:/core/ui/ControlPanel/Saving/General": {
            "title": "$:/core/ui/ControlPanel/Saving/General",
            "tags": "$:/tags/ControlPanel/Saving",
            "caption": "{{$:/language/ControlPanel/Saving/General/Caption}}",
            "list-before": "",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/\n\n{{$:/language/ControlPanel/Saving/General/Hint}}\n\n!! <$link to=\"$:/config/AutoSave\"><<lingo AutoSave/Caption>></$link>\n\n<<lingo AutoSave/Hint>>\n\n<$radio tiddler=\"$:/config/AutoSave\" value=\"yes\"> <<lingo AutoSave/Enabled/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/AutoSave\" value=\"no\"> <<lingo AutoSave/Disabled/Description>> </$radio>\n"
        },
        "$:/core/ui/ControlPanel/Saving/GitHub": {
            "title": "$:/core/ui/ControlPanel/Saving/GitHub",
            "tags": "$:/tags/ControlPanel/Saving",
            "caption": "{{$:/language/ControlPanel/Saving/GitService/GitHub/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~GitHub\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/GitHub/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo GitHub/Password>> |<$password name=\"github\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/GitHub/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/GitHub/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/GitHub/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/GitHub/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/GitHub/ServerURL\" default=\"https://api.github.com\" tag=\"input\"/> |"
        },
        "$:/core/ui/ControlPanel/Saving/GitLab": {
            "title": "$:/core/ui/ControlPanel/Saving/GitLab",
            "tags": "$:/tags/ControlPanel/Saving",
            "caption": "{{$:/language/ControlPanel/Saving/GitService/GitLab/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~GitLab\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/GitLab/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo GitLab/Password>> |<$password name=\"gitlab\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/GitLab/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/GitLab/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/GitLab/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/GitLab/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/GitLab/ServerURL\" default=\"https://gitlab.com/api/v4\" tag=\"input\"/> |"
        },
        "$:/core/ui/ControlPanel/Saving/TiddlySpot": {
            "title": "$:/core/ui/ControlPanel/Saving/TiddlySpot",
            "tags": "$:/tags/ControlPanel/Saving",
            "caption": "{{$:/language/ControlPanel/Saving/TiddlySpot/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Saving/TiddlySpot/\n\n\\define siteURL(path)\nhttp://$(userName)$.tiddlyspot.com/$path$/\n\\end\n\\define siteLink(path)\n<$reveal type=\"nomatch\" state=\"$:/UploadName\" text=\"\">\n<$set name=\"userName\" value={{$:/UploadName}}>\n<$reveal type=\"match\" state=\"$:/UploadURL\" text=\"\">\n<<siteURL $path$>>\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/UploadURL\" text=\"\">\n<$macrocall $name=resolvePath source={{$:/UploadBackupDir}} root={{$:/UploadURL}}>>\n</$reveal>\n</$set>\n</$reveal>\n\\end\n\n<div class=\"tc-message-box\">\n\n<<lingo ReadOnly>>\n\n</div>\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/UploadName\" default=\"\" tag=\"input\"/> |\n|<<lingo Password>> |<$password name=\"upload\"/> |\n|<<lingo Backups>> |<<siteLink backup>> |\n|<<lingo ControlPanel>> |<<siteLink controlpanel>> |\n\n''<<lingo Advanced/Heading>>''\n\n|<<lingo ServerURL>>  |<$edit-text tiddler=\"$:/UploadURL\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/UploadFilename\" default=\"index.html\" tag=\"input\"/> |\n|<<lingo UploadDir>> |<$edit-text tiddler=\"$:/UploadDir\" default=\".\" tag=\"input\"/> |\n|<<lingo BackupDir>> |<$edit-text tiddler=\"$:/UploadBackupDir\" default=\".\" tag=\"input\"/> |\n\n<<lingo TiddlySpot/Hint>>\n"
        },
        "$:/core/ui/ControlPanel/Saving/Gitea": {
            "title": "$:/core/ui/ControlPanel/Saving/Gitea",
            "tags": "$:/tags/ControlPanel/Saving",
            "caption": "{{$:/language/ControlPanel/Saving/GitService/Gitea/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~Gitea\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/Gitea/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo Gitea/Password>> |<$password name=\"Gitea\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/Gitea/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/Gitea/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/Gitea/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/Gitea/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/Gitea/ServerURL\" default=\"https://gitea/api/v1\" tag=\"input\"/> |\n"
        },
        "$:/core/ui/ControlPanel/Saving": {
            "title": "$:/core/ui/ControlPanel/Saving",
            "tags": "$:/tags/ControlPanel",
            "caption": "{{$:/language/ControlPanel/Saving/Caption}}",
            "text": "{{$:/language/ControlPanel/Saving/Hint}}\n\n<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Saving]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/Saving/General\" explicitState=\"$:/state/tab-2065006209\"/>\n</div>\n"
        },
        "$:/core/buttonstyles/Borderless": {
            "title": "$:/core/buttonstyles/Borderless",
            "tags": "$:/tags/ToolbarButtonStyle",
            "caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless}}",
            "text": "tc-btn-invisible"
        },
        "$:/core/buttonstyles/Boxed": {
            "title": "$:/core/buttonstyles/Boxed",
            "tags": "$:/tags/ToolbarButtonStyle",
            "caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed}}",
            "text": "tc-btn-boxed"
        },
        "$:/core/buttonstyles/Rounded": {
            "title": "$:/core/buttonstyles/Rounded",
            "tags": "$:/tags/ToolbarButtonStyle",
            "caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded}}",
            "text": "tc-btn-rounded"
        },
        "$:/core/ui/ControlPanel/Settings/CamelCase": {
            "title": "$:/core/ui/ControlPanel/Settings/CamelCase",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/CamelCase/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/CamelCase/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/WikiParserRules/Inline/wikilink\" field=\"text\" checked=\"enable\" unchecked=\"disable\" default=\"enable\"> <$link to=\"$:/config/WikiParserRules/Inline/wikilink\"><<lingo Description>></$link> </$checkbox>\n"
        },
        "$:/core/ui/ControlPanel/Settings/DefaultMoreSidebarTab": {
            "title": "$:/core/ui/ControlPanel/Settings/DefaultMoreSidebarTab",
            "caption": "{{$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption}}",
            "tags": "$:/tags/ControlPanel/Settings",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/DefaultMoreSidebarTab/\n\n<$link to=\"$:/config/DefaultMoreSidebarTab\"><<lingo Hint>></$link>\n\n<$select tiddler=\"$:/config/DefaultMoreSidebarTab\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar]!has[draft.of]]\">\n<option value=<<currentTiddler>>><$transclude field=\"caption\"><$text text=<<currentTiddler>>/></$transclude></option>\n</$list>\n</$select>\n"
        },
        "$:/core/ui/ControlPanel/Settings/DefaultSidebarTab": {
            "title": "$:/core/ui/ControlPanel/Settings/DefaultSidebarTab",
            "caption": "{{$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption}}",
            "tags": "$:/tags/ControlPanel/Settings",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/DefaultSidebarTab/\n\n<$link to=\"$:/config/DefaultSidebarTab\"><<lingo Hint>></$link>\n\n<$select tiddler=\"$:/config/DefaultSidebarTab\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\">\n<option value=<<currentTiddler>>><$transclude field=\"caption\"><$text text=<<currentTiddler>>/></$transclude></option>\n</$list>\n</$select>\n"
        },
        "$:/core/ui/ControlPanel/Settings/EditorToolbar": {
            "title": "$:/core/ui/ControlPanel/Settings/EditorToolbar",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/EditorToolbar/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/EditorToolbar/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/TextEditor/EnableToolbar\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/TextEditor/EnableToolbar\"><<lingo Description>></$link> </$checkbox>\n\n"
        },
        "$:/core/ui/ControlPanel/Settings/InfoPanelMode": {
            "title": "$:/core/ui/ControlPanel/Settings/InfoPanelMode",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/InfoPanelMode/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/InfoPanelMode/\n<$link to=\"$:/config/TiddlerInfo/Mode\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/TiddlerInfo/Mode\" value=\"popup\"> <<lingo Popup/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/TiddlerInfo/Mode\" value=\"sticky\"> <<lingo Sticky/Description>> </$radio>\n"
        },
        "$:/core/ui/ControlPanel/Settings/LinkToBehaviour": {
            "title": "$:/core/ui/ControlPanel/Settings/LinkToBehaviour",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/LinkToBehaviour/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/LinkToBehaviour/\n\n<$link to=\"$:/config/Navigation/openLinkFromInsideRiver\"><<lingo \"InsideRiver/Hint\">></$link>\n\n<$select tiddler=\"$:/config/Navigation/openLinkFromInsideRiver\">\n  <option value=\"above\"><<lingo \"OpenAbove\">></option>\n  <option value=\"below\"><<lingo \"OpenBelow\">></option>\n  <option value=\"top\"><<lingo \"OpenAtTop\">></option>\n  <option value=\"bottom\"><<lingo \"OpenAtBottom\">></option>\n</$select>\n\n<$link to=\"$:/config/Navigation/openLinkFromOutsideRiver\"><<lingo \"OutsideRiver/Hint\">></$link>\n\n<$select tiddler=\"$:/config/Navigation/openLinkFromOutsideRiver\">\n  <option value=\"top\"><<lingo \"OpenAtTop\">></option>\n  <option value=\"bottom\"><<lingo \"OpenAtBottom\">></option>\n</$select>\n"
        },
        "$:/core/ui/ControlPanel/Settings/MissingLinks": {
            "title": "$:/core/ui/ControlPanel/Settings/MissingLinks",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/MissingLinks/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/MissingLinks/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/MissingLinks\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/MissingLinks\"><<lingo Description>></$link> </$checkbox>\n\n"
        },
        "$:/core/ui/ControlPanel/Settings/NavigationAddressBar": {
            "title": "$:/core/ui/ControlPanel/Settings/NavigationAddressBar",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/NavigationAddressBar/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationAddressBar/\n\n<$link to=\"$:/config/Navigation/UpdateAddressBar\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"permaview\"> <<lingo Permaview/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"permalink\"> <<lingo Permalink/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
        },
        "$:/core/ui/ControlPanel/Settings/NavigationHistory": {
            "title": "$:/core/ui/ControlPanel/Settings/NavigationHistory",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/NavigationHistory/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationHistory/\n<$link to=\"$:/config/Navigation/UpdateHistory\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateHistory\" value=\"yes\"> <<lingo Yes/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateHistory\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
        },
        "$:/core/ui/ControlPanel/Settings/NavigationPermalinkviewMode": {
            "title": "$:/core/ui/ControlPanel/Settings/NavigationPermalinkviewMode",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationPermalinkviewMode/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Navigation/Permalinkview/CopyToClipboard\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Navigation/Permalinkview/CopyToClipboard\"><<lingo CopyToClipboard/Description>></$link> </$checkbox>\n\n<$checkbox tiddler=\"$:/config/Navigation/Permalinkview/UpdateAddressBar\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Navigation/Permalinkview/UpdateAddressBar\"><<lingo UpdateAddressBar/Description>></$link> </$checkbox>\n"
        },
        "$:/core/ui/ControlPanel/Settings/PerformanceInstrumentation": {
            "title": "$:/core/ui/ControlPanel/Settings/PerformanceInstrumentation",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/PerformanceInstrumentation/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Performance/Instrumentation\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <$link to=\"$:/config/Performance/Instrumentation\"><<lingo Description>></$link> </$checkbox>\n"
        },
        "$:/core/ui/ControlPanel/Settings/TitleLinks": {
            "title": "$:/core/ui/ControlPanel/Settings/TitleLinks",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/TitleLinks/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/TitleLinks/\n<$link to=\"$:/config/Tiddlers/TitleLinks\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Tiddlers/TitleLinks\" value=\"yes\"> <<lingo Yes/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Tiddlers/TitleLinks\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
        },
        "$:/core/ui/ControlPanel/Settings/ToolbarButtonStyle": {
            "title": "$:/core/ui/ControlPanel/Settings/ToolbarButtonStyle",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/ToolbarButtonStyle/\n<$link to=\"$:/config/Toolbar/ButtonClass\"><<lingo \"Hint\">></$link>\n\n<$select tiddler=\"$:/config/Toolbar/ButtonClass\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ToolbarButtonStyle]]\">\n<option value={{!!text}}>{{!!caption}}</option>\n</$list>\n</$select>\n"
        },
        "$:/core/ui/ControlPanel/Settings/ToolbarButtons": {
            "title": "$:/core/ui/ControlPanel/Settings/ToolbarButtons",
            "tags": "$:/tags/ControlPanel/Settings",
            "caption": "{{$:/language/ControlPanel/Settings/ToolbarButtons/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/ToolbarButtons/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Toolbar/Icons\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Toolbar/Icons\"><<lingo Icons/Description>></$link> </$checkbox>\n\n<$checkbox tiddler=\"$:/config/Toolbar/Text\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <$link to=\"$:/config/Toolbar/Text\"><<lingo Text/Description>></$link> </$checkbox>\n"
        },
        "$:/core/ui/ControlPanel/Settings": {
            "title": "$:/core/ui/ControlPanel/Settings",
            "tags": "$:/tags/ControlPanel",
            "caption": "{{$:/language/ControlPanel/Settings/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/Settings/\n\n<<lingo Hint>>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Settings]]\">\n\n<div style=\"border-top:1px solid #eee;\">\n\n!! <$link><$transclude field=\"caption\"/></$link>\n\n<$transclude/>\n\n</div>\n\n</$list>\n"
        },
        "$:/core/ui/ControlPanel/StoryView": {
            "title": "$:/core/ui/ControlPanel/StoryView",
            "tags": "$:/tags/ControlPanel/Appearance",
            "caption": "{{$:/language/ControlPanel/StoryView/Caption}}",
            "text": "{{$:/snippets/viewswitcher}}\n"
        },
        "$:/core/ui/ControlPanel/Stylesheets": {
            "title": "$:/core/ui/ControlPanel/Stylesheets",
            "tags": "$:/tags/ControlPanel/Advanced",
            "caption": "{{$:/language/ControlPanel/Stylesheets/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/\n\n<<lingo Stylesheets/Hint>>\n\n{{$:/snippets/peek-stylesheets}}\n"
        },
        "$:/core/ui/ControlPanel/Theme": {
            "title": "$:/core/ui/ControlPanel/Theme",
            "tags": "$:/tags/ControlPanel/Appearance",
            "caption": "{{$:/language/ControlPanel/Theme/Caption}}",
            "text": "{{$:/snippets/themeswitcher}}\n"
        },
        "$:/core/ui/ControlPanel/TiddlerFields": {
            "title": "$:/core/ui/ControlPanel/TiddlerFields",
            "tags": "$:/tags/ControlPanel/Advanced",
            "caption": "{{$:/language/ControlPanel/TiddlerFields/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/\n\n<<lingo TiddlerFields/Hint>>\n\n{{$:/snippets/allfields}}"
        },
        "$:/core/ui/ControlPanel/Toolbars/EditToolbar": {
            "title": "$:/core/ui/ControlPanel/Toolbars/EditToolbar",
            "tags": "$:/tags/ControlPanel/Toolbars",
            "caption": "{{$:/language/ControlPanel/Toolbars/EditToolbar/Caption}}",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/EditToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/EditToolbar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/EditToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>"
        },
        "$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate": {
            "title": "$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate",
            "text": "\\define config-title()\n$(config-base)$$(currentTiddler)$\n\\end\n\n<$draggable tiddler=<<currentTiddler>>>\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <span class=\"tc-icon-wrapper\"><$transclude tiddler={{!!icon}}/></span> <$transclude field=\"caption\"/> -- <i class=\"tc-muted\"><$transclude field=\"description\"/></i>\n</$draggable>\n"
        },
        "$:/core/ui/ControlPanel/Toolbars/EditorToolbar": {
            "title": "$:/core/ui/ControlPanel/Toolbars/EditorToolbar",
            "tags": "$:/tags/ControlPanel/Toolbars",
            "caption": "{{$:/language/ControlPanel/Toolbars/EditorToolbar/Caption}}",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/EditorToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/EditorToolbar/Hint}}\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/EditorToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate\"/>\n"
        },
        "$:/core/ui/ControlPanel/Toolbars/ItemTemplate": {
            "title": "$:/core/ui/ControlPanel/Toolbars/ItemTemplate",
            "text": "\\define config-title()\n$(config-base)$$(currentTiddler)$\n\\end\n\n<$draggable tiddler=<<currentTiddler>>>\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <span class=\"tc-icon-wrapper\"> <$transclude field=\"caption\"/> <i class=\"tc-muted\">-- <$transclude field=\"description\"/></i></span>\n</$draggable>\n"
        },
        "$:/core/ui/ControlPanel/Toolbars/PageControls": {
            "title": "$:/core/ui/ControlPanel/Toolbars/PageControls",
            "tags": "$:/tags/ControlPanel/Toolbars",
            "caption": "{{$:/language/ControlPanel/Toolbars/PageControls/Caption}}",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/PageControlButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/PageControls/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/PageControls\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n"
        },
        "$:/core/ui/ControlPanel/Toolbars/ViewToolbar": {
            "title": "$:/core/ui/ControlPanel/Toolbars/ViewToolbar",
            "tags": "$:/tags/ControlPanel/Toolbars",
            "caption": "{{$:/language/ControlPanel/Toolbars/ViewToolbar/Caption}}",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/ViewToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/ViewToolbar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/ViewToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n"
        },
        "$:/core/ui/ControlPanel/Toolbars": {
            "title": "$:/core/ui/ControlPanel/Toolbars",
            "tags": "$:/tags/ControlPanel/Appearance",
            "caption": "{{$:/language/ControlPanel/Toolbars/Caption}}",
            "text": "{{$:/language/ControlPanel/Toolbars/Hint}}\n\n<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Toolbars]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/Toolbars/ViewToolbar\" class=\"tc-vertical\" explicitState=\"$:/state/tabs/controlpanel/toolbars-1345989671\"/>\n</div>\n"
        },
        "$:/ControlPanel": {
            "title": "$:/ControlPanel",
            "icon": "$:/core/images/options-button",
            "color": "#bbb",
            "text": "<div class=\"tc-control-panel\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel]!has[draft.of]]\" default=\"$:/core/ui/ControlPanel/Info\" explicitState=\"$:/state/tab-1749438307\"/>\n</div>\n"
        },
        "$:/core/ui/DefaultSearchResultList": {
            "title": "$:/core/ui/DefaultSearchResultList",
            "tags": "$:/tags/SearchResults",
            "caption": "{{$:/language/Search/DefaultResults/Caption}}",
            "first-search-filter": "[!is[system]search:title<userInput>sort[title]limit[250]]",
            "second-search-filter": "[!is[system]search<userInput>sort[title]limit[250]]",
            "text": "\\define searchResultList()\n//<small>{{$:/language/Search/Matches/Title}}</small>//\n\n<$list filter=\"[<userInput>minlength[1]]\" variable=\"ignore\">\n<$list filter={{{ [<configTiddler>get[first-search-filter]] }}}>\n<span class={{{[<currentTiddler>addsuffix[-primaryList]] -[<searchListState>get[text]] +[then[]else[tc-list-item-selected]] }}}>\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</span>\n</$list>\n</$list>\n\n//<small>{{$:/language/Search/Matches/All}}</small>//\n\n<$list filter=\"[<userInput>minlength[1]]\" variable=\"ignore\">\n<$list filter={{{ [<configTiddler>get[second-search-filter]] }}}>\n<span class={{{[<currentTiddler>addsuffix[-secondaryList]] -[<searchListState>get[text]] +[then[]else[tc-list-item-selected]] }}}>\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</span>\n</$list>\n</$list>\n\n\\end\n<<searchResultList>>\n"
        },
        "$:/core/ui/EditTemplate/body/preview/diffs-current": {
            "title": "$:/core/ui/EditTemplate/body/preview/diffs-current",
            "tags": "$:/tags/EditPreview",
            "caption": "differences from current",
            "list-after": "$:/core/ui/EditTemplate/body/preview/output",
            "text": "<$list filter=\"[<currentTiddler>!is[image]]\" emptyMessage={{$:/core/ui/EditTemplate/body/preview/output}}>\n\n<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle={{!!draft.of}} destTiddlerTitle=<<currentTiddler>>/>\n\n</$list>\n\n"
        },
        "$:/core/ui/EditTemplate/body/preview/diffs-shadow": {
            "title": "$:/core/ui/EditTemplate/body/preview/diffs-shadow",
            "tags": "$:/tags/EditPreview",
            "caption": "differences from shadow (if any)",
            "list-after": "$:/core/ui/EditTemplate/body/preview/output",
            "text": "<$list filter=\"[<currentTiddler>!is[image]]\" emptyMessage={{$:/core/ui/EditTemplate/body/preview/output}}>\n\n<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle={{{ [{!!draft.of}shadowsource[]] }}} sourceSubTiddlerTitle={{!!draft.of}} destTiddlerTitle=<<currentTiddler>>/>\n\n</$list>\n\n"
        },
        "$:/core/ui/EditTemplate/body/preview/output": {
            "title": "$:/core/ui/EditTemplate/body/preview/output",
            "tags": "$:/tags/EditPreview",
            "caption": "{{$:/language/EditTemplate/Body/Preview/Type/Output}}",
            "text": "\\import [all[shadows+tiddlers]tag[$:/tags/Macro/View]!has[draft.of]]\n<$set name=\"tv-tiddler-preview\" value=\"yes\">\n\n<$transclude />\n\n</$set>\n"
        },
        "$:/state/showeditpreview": {
            "title": "$:/state/showeditpreview",
            "text": "no"
        },
        "$:/core/ui/EditTemplate/body/editor": {
            "title": "$:/core/ui/EditTemplate/body/editor",
            "text": "<$edit\n\n  field=\"text\"\n  class=\"tc-edit-texteditor tc-edit-texteditor-body\"\n  placeholder={{$:/language/EditTemplate/Body/Placeholder}}\n  tabindex={{$:/config/EditTabIndex}}\n  focus={{{ [{$:/config/AutoFocus}match[text]then[true]] ~[[false]] }}}\n  cancelPopups=\"yes\"\n\n><$set\n\n  name=\"targetTiddler\"\n  value=<<currentTiddler>>\n\n><$list\n\n  filter=\"[all[shadows+tiddlers]tag[$:/tags/EditorToolbar]!has[draft.of]]\"\n\n><$reveal\n\n  type=\"nomatch\"\n  state=<<config-visibility-title>>\n  text=\"hide\"\n  class=\"tc-text-editor-toolbar-item-wrapper\"\n\n><$transclude\n\n  tiddler=\"$:/core/ui/EditTemplate/body/toolbar/button\"\n  mode=\"inline\"\n\n/></$reveal></$list></$set></$edit>\n"
        },
        "$:/core/ui/EditTemplate/body/toolbar/button": {
            "title": "$:/core/ui/EditTemplate/body/toolbar/button",
            "text": "\\define toolbar-button-icon()\n<$list\n\n  filter=\"[all[current]!has[custom-icon]]\"\n  variable=\"no-custom-icon\"\n\n><$transclude\n\n  tiddler={{!!icon}}\n\n/></$list>\n\\end\n\n\\define toolbar-button-tooltip()\n{{!!description}}<$macrocall $name=\"displayshortcuts\" $output=\"text/plain\" shortcuts={{!!shortcuts}} prefix=\"` - [\" separator=\"] [\" suffix=\"]`\"/>\n\\end\n\n\\define toolbar-button()\n<$list\n\n  filter={{!!condition}}\n  variable=\"list-condition\"\n\n><$wikify\n\n  name=\"tooltip-text\"\n  text=<<toolbar-button-tooltip>>\n  mode=\"inline\"\n  output=\"text\"\n\n><$list\n\n  filter=\"[all[current]!has[dropdown]]\"\n  variable=\"no-dropdown\"\n\n><$button\n\n  class=\"tc-btn-invisible $(buttonClasses)$\"\n  tooltip=<<tooltip-text>>\n  actions={{!!actions}}\n\n><span\n\n  data-tw-keyboard-shortcut={{!!shortcuts}}\n\n/><<toolbar-button-icon>><$transclude\n\n  tiddler=<<currentTiddler>>\n  field=\"text\"\n\n/></$button></$list><$list\n\n  filter=\"[all[current]has[dropdown]]\"\n  variable=\"dropdown\"\n\n><$set\n\n  name=\"dropdown-state\"\n  value=<<qualify \"$:/state/EditorToolbarDropdown\">>\n\n><$button\n\n  popup=<<dropdown-state>>\n  class=\"tc-popup-keep tc-btn-invisible $(buttonClasses)$\"\n  selectedClass=\"tc-selected\"\n  tooltip=<<tooltip-text>>\n  actions={{!!actions}}\n\n><span\n\n  data-tw-keyboard-shortcut={{!!shortcuts}}\n\n/><<toolbar-button-icon>><$transclude\n\n  tiddler=<<currentTiddler>>\n  field=\"text\"\n\n/></$button><$reveal\n\n  state=<<dropdown-state>>\n  type=\"popup\"\n  position=\"below\"\n  animate=\"yes\"\n  tag=\"span\"\n\n><div\n\n  class=\"tc-drop-down tc-popup-keep\"\n\n><$transclude\n\n  tiddler={{!!dropdown}}\n  mode=\"block\"\n\n/></div></$reveal></$set></$list></$wikify></$list>\n\\end\n\n\\define toolbar-button-outer()\n<$set\n\n  name=\"buttonClasses\"\n  value={{!!button-classes}}\n\n><<toolbar-button>></$set>\n\\end\n\n<<toolbar-button-outer>>"
        },
        "$:/core/ui/EditTemplate/body": {
            "title": "$:/core/ui/EditTemplate/body",
            "tags": "$:/tags/EditTemplate",
            "text": "\\define lingo-base() $:/language/EditTemplate/Body/\n\\define config-visibility-title()\n$:/config/EditorToolbarButtons/Visibility/$(currentTiddler)$\n\\end\n<$list filter=\"[all[current]has[_canonical_uri]]\">\n\n<div class=\"tc-message-box\">\n\n<<lingo External/Hint>>\n\n<a href={{!!_canonical_uri}}><$text text={{!!_canonical_uri}}/></a>\n\n<$edit-text field=\"_canonical_uri\" class=\"tc-edit-fields\" tabindex={{$:/config/EditTabIndex}} cancelPopups=\"yes\"></$edit-text>\n\n</div>\n\n</$list>\n\n<$list filter=\"[all[current]!has[_canonical_uri]]\">\n\n<$reveal state=\"$:/state/showeditpreview\" type=\"match\" text=\"yes\">\n\n<div class=\"tc-tiddler-preview\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/editor\" mode=\"inline\"/>\n\n<div class=\"tc-tiddler-preview-preview\">\n\n<$transclude tiddler={{$:/state/editpreviewtype}} mode=\"inline\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/preview/output\" mode=\"inline\"/>\n\n</$transclude>\n\n</div>\n\n</div>\n\n</$reveal>\n\n<$reveal state=\"$:/state/showeditpreview\" type=\"nomatch\" text=\"yes\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/editor\" mode=\"inline\"/>\n\n</$reveal>\n\n</$list>\n"
        },
        "$:/core/ui/EditTemplate/controls": {
            "title": "$:/core/ui/EditTemplate/controls",
            "tags": "$:/tags/EditTemplate",
            "text": "\\define config-title()\n$:/config/EditToolbarButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-tiddler-title tc-tiddler-edit-title\">\n<$view field=\"title\"/>\n<span class=\"tc-tiddler-controls tc-titlebar\"><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditToolbar]!has[draft.of]]\" variable=\"listItem\"><$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"><$transclude tiddler=<<listItem>>/></$reveal></$list></span>\n<div style=\"clear: both;\"></div>\n</div>\n"
        },
        "$:/core/ui/EditTemplate/fields": {
            "title": "$:/core/ui/EditTemplate/fields",
            "tags": "$:/tags/EditTemplate",
            "text": "\\define lingo-base() $:/language/EditTemplate/\n\\define config-title()\n$:/config/EditTemplateFields/Visibility/$(currentField)$\n\\end\n\n\\define config-filter()\n[[hide]] -[title{$(config-title)$}]\n\\end\n\n\\define current-tiddler-new-field-selector()\n[data-tiddler-title=\"$(currentTiddlerCSSescaped)$\"] .tc-edit-field-add-name-wrapper input\n\\end\n\n\\define new-field-actions()\n<$action-sendmessage $message=\"tm-add-field\" $name={{{ [<newFieldNameTiddler>get[text]] }}} $value={{{ [<newFieldValueTiddler>get[text]] }}}/>\n<$action-deletetiddler $filter=\"[<newFieldNameTiddler>] [<newFieldValueTiddler>] [<storeTitle>] [<searchListState>]\"/>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=<<current-tiddler-new-field-selector>>/>\n\\end\n\n\\define delete-state-tiddlers() <$action-deletetiddler $filter=\"[<newFieldNameTiddler>] [<storeTitle>] [<searchListState>]\"/>\n\n\\define cancel-search-actions-inner()\n<$list filter=\"[<storeTitle>has[text]] [<newFieldNameTiddler>has[text]]\" variable=\"ignore\" emptyMessage=\"\"\"<<cancel-delete-tiddler-actions \"cancel\">>\"\"\">\n<<delete-state-tiddlers>>\n</$list>\n\\end\n\n\\define cancel-search-actions()\n<$set name=\"userInput\" value={{{ [<storeTitle>get[text]] }}}>\n<$list filter=\"[<newFieldNameTiddler>get[text]!match<userInput>]\" emptyMessage=\"\"\"<<cancel-search-actions-inner>>\"\"\">\n<$action-setfield $tiddler=<<newFieldNameTiddler>> text=<<userInput>>/><$action-setfield $tiddler=<<refreshTitle>> text=\"yes\"/>\n</$list>\n</$set>\n\\end\n\n\\define new-field()\n<$vars name={{{ [<newFieldNameTiddler>get[text]] }}}>\n<$reveal type=\"nomatch\" text=\"\" default=<<name>>>\n<$button tooltip=<<lingo Fields/Add/Button/Hint>>>\n<$action-sendmessage $message=\"tm-add-field\"\n$name=<<name>>\n$value={{{ [<newFieldValueTiddler>get[text]] }}}/>\n<$action-deletetiddler $filter=\"[<newFieldNameTiddler>] [<newFieldValueTiddler>] [<storeTitle>] [<searchListState>]\"/>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" text=\"\" default=<<name>>>\n<$button>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n</$vars>\n\\end\n\\whitespace trim\n\n<div class=\"tc-edit-fields\">\n<table class={{{ [all[current]fields[]] :filter[lookup[$:/config/EditTemplateFields/Visibility/]!match[hide]] +[count[]!match[0]] +[then[tc-edit-fields]] ~[[tc-edit-fields tc-edit-fields-small]] }}}>\n<tbody>\n<$list filter=\"[all[current]fields[]] +[sort[title]]\" variable=\"currentField\" storyview=\"pop\">\n<$list filter=<<config-filter>> variable=\"temp\">\n<tr class=\"tc-edit-field\">\n<td class=\"tc-edit-field-name\">\n<$text text=<<currentField>>/>:</td>\n<td class=\"tc-edit-field-value\">\n<$keyboard key=\"((delete-field))\" actions=\"\"\"<$action-deletefield $field=<<currentField>>/><$set name=\"currentTiddlerCSSescaped\" value={{{ [<currentTiddler>escapecss[]] }}}><$action-sendmessage $message=\"tm-focus-selector\" $param=<<current-tiddler-new-field-selector>>/></$set>\"\"\">\n<$edit-text tiddler=<<currentTiddler>> field=<<currentField>> placeholder={{$:/language/EditTemplate/Fields/Add/Value/Placeholder}} tabindex={{$:/config/EditTabIndex}} cancelPopups=\"yes\"/>\n</$keyboard>\n</td>\n<td class=\"tc-edit-field-remove\">\n<$button class=\"tc-btn-invisible\" tooltip={{$:/language/EditTemplate/Field/Remove/Hint}} aria-label={{$:/language/EditTemplate/Field/Remove/Caption}}>\n<$action-deletefield $field=<<currentField>>/><$set name=\"currentTiddlerCSSescaped\" value={{{ [<currentTiddler>escapecss[]] }}}><$action-sendmessage $message=\"tm-focus-selector\" $param=<<current-tiddler-new-field-selector>>/></$set>\n{{$:/core/images/delete-button}}\n</$button>\n</td>\n</tr>\n</$list>\n</$list>\n</tbody>\n</table>\n</div>\n\n<$fieldmangler>\n<div class=\"tc-edit-field-add\">\n<em class=\"tc-edit tc-big-gap-right\">\n<<lingo Fields/Add/Prompt>>\n</em>\n<$vars refreshTitle=<<qualify \"$:/temp/fieldname/refresh\">> storeTitle=<<newFieldNameInputTiddler>> searchListState=<<newFieldNameSelectionTiddler>>>\n<div class=\"tc-edit-field-add-name-wrapper\">\n<$macrocall $name=\"keyboard-driven-input\" tiddler=<<newFieldNameTiddler>> storeTitle=<<storeTitle>> refreshTitle=<<refreshTitle>>\n\t\tselectionStateTitle=<<searchListState>> tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Fields/Add/Name/Placeholder}}\n\t\tfocusPopup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-edit-texteditor tc-popup-handle\" tabindex={{$:/config/EditTabIndex}}\n\t\tfocus={{{ [{$:/config/AutoFocus}match[fields]then[true]] ~[[false]] }}} cancelPopups=\"yes\"\n\t\tconfigTiddlerFilter=\"[[$:/config/EditMode/fieldname-filter]]\" inputCancelActions=<<cancel-search-actions>> />\n<$button popup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-btn-invisible tc-btn-dropdown tc-small-gap\" tooltip={{$:/language/EditTemplate/Field/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Field/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button>\n<$reveal state=<<qualify \"$:/state/popup/field-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$linkcatcher to=<<newFieldNameTiddler>>>\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/User>>\n</div>\n<$set name=\"newFieldName\" value={{{ [<storeTitle>get[text]] }}}>\n<$list filter=\"[!is[shadow]!is[system]fields[]search:title<newFieldName>sort[]] -created -creator -draft.of -draft.title -modified -modifier -tags -text -title -type\"  variable=\"currentField\">\n<$list filter=\"[<currentField>addsuffix[-primaryList]] -[<searchListState>get[text]]\" emptyMessage=\"\"\"<$link to=<<currentField>> class=\"tc-list-item-selected\"><$text text=<<currentField>>/></$link>\"\"\">\n<$link to=<<currentField>>>\n<$text text=<<currentField>>/>\n</$link>\n</$list>\n</$list>\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/System>>\n</div>\n<$list filter=\"[fields[]search:title<newFieldName>sort[]] -[!is[shadow]!is[system]fields[]]\" variable=\"currentField\">\n<$list filter=\"[<currentField>addsuffix[-secondaryList]] -[<searchListState>get[text]]\" emptyMessage=\"\"\"<$link to=<<currentField>> class=\"tc-list-item-selected\"><$text text=<<currentField>>/></$link>\"\"\">\n<$link to=<<currentField>>>\n<$text text=<<currentField>>/>\n</$link>\n</$list>\n</$list>\n</$set>\n</$linkcatcher>\n</$set>\n</div>\n</$reveal>\n</div>\n<span class=\"tc-edit-field-add-value tc-small-gap-right\">\n<$set name=\"currentTiddlerCSSescaped\" value={{{ [<currentTiddler>escapecss[]] }}}>\n<$keyboard key=\"((add-field))\" actions=<<new-field-actions>>>\n<$edit-text tiddler=<<newFieldValueTiddler>> tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Fields/Add/Value/Placeholder}} class=\"tc-edit-texteditor\" tabindex={{$:/config/EditTabIndex}} cancelPopups=\"yes\"/>\n</$keyboard>\n</$set>\n</span>\n<span class=\"tc-edit-field-add-button\">\n<$macrocall $name=\"new-field\"/>\n</span>\n</$vars>\n</div>\n</$fieldmangler>\n"
        },
        "$:/core/ui/EditTemplate/shadow": {
            "title": "$:/core/ui/EditTemplate/shadow",
            "tags": "$:/tags/EditTemplate",
            "text": "\\define lingo-base() $:/language/EditTemplate/Shadow/\n\\define pluginLinkBody()\n<$link to=\"\"\"$(pluginTitle)$\"\"\">\n<$text text=\"\"\"$(pluginTitle)$\"\"\"/>\n</$link>\n\\end\n<$list filter=\"[all[current]get[draft.of]is[shadow]!is[tiddler]]\">\n\n<$list filter=\"[all[current]shadowsource[]]\" variable=\"pluginTitle\">\n\n<$set name=\"pluginLink\" value=<<pluginLinkBody>>>\n<div class=\"tc-message-box\">\n\n<<lingo Warning>>\n\n</div>\n</$set>\n</$list>\n\n</$list>\n\n<$list filter=\"[all[current]get[draft.of]is[shadow]is[tiddler]]\">\n\n<$list filter=\"[all[current]shadowsource[]]\" variable=\"pluginTitle\">\n\n<$set name=\"pluginLink\" value=<<pluginLinkBody>>>\n<div class=\"tc-message-box\">\n\n<<lingo OverriddenWarning>>\n\n</div>\n</$set>\n</$list>\n\n</$list>"
        },
        "$:/core/ui/EditTemplate/tags": {
            "title": "$:/core/ui/EditTemplate/tags",
            "tags": "$:/tags/EditTemplate",
            "text": "\\whitespace trim\n\n\\define lingo-base() $:/language/EditTemplate/\n\n\\define tag-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-body-inner(colour,fallbackTarget,colourA,colourB,icon,tagField:\"tags\")\n\\whitespace trim\n<$vars foregroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">> backgroundColor=\"\"\"$colour$\"\"\">\n<span style=<<tag-styles>> class=\"tc-tag-label tc-tag-list-item\">\n<$transclude tiddler=\"\"\"$icon$\"\"\"/><$view field=\"title\" format=\"text\" />\n<$button class=\"tc-btn-invisible tc-remove-tag-button\"><$action-listops $tiddler=<<saveTiddler>> $field=<<__tagField__>> $subfilter=\"-[{!!title}]\"/>{{$:/core/images/close-button}}</$button>\n</span>\n</$vars>\n\\end\n\n\\define tag-body(colour,palette,icon,tagField:\"tags\")\n<$macrocall $name=\"tag-body-inner\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}} icon=\"\"\"$icon$\"\"\" tagField=<<__tagField__>>/>\n\\end\n\n\\define edit-tags-template(tagField:\"tags\")\n\\whitespace trim\n<div class=\"tc-edit-tags\">\n<$list filter=\"[list[!!$tagField$]sort[title]]\" storyview=\"pop\">\n<$macrocall $name=\"tag-body\" colour={{!!color}} palette={{$:/palette}} icon={{!!icon}} tagField=<<__tagField__>>/>\n</$list>\n<$vars tabIndex={{$:/config/EditTabIndex}} cancelPopups=\"yes\">\n<$macrocall $name=\"tag-picker\" tagField=<<__tagField__>>/>\n</$vars>\n</div>\n\\end\n<$set name=\"saveTiddler\" value=<<currentTiddler>>>\n<$macrocall $name=\"edit-tags-template\" tagField=<<tagField>>/>\n</$set>\n"
        },
        "$:/core/ui/EditTemplate/title": {
            "title": "$:/core/ui/EditTemplate/title",
            "tags": "$:/tags/EditTemplate",
            "text": "<$edit-text field=\"draft.title\" class=\"tc-titlebar tc-edit-texteditor\" focus={{{ [{$:/config/AutoFocus}match[title]then[true]] ~[[false]] }}} tabindex={{$:/config/EditTabIndex}} cancelPopups=\"yes\"/>\n\n<$vars pattern=\"\"\"[\\|\\[\\]{}]\"\"\" bad-chars=\"\"\"`| [ ] { }`\"\"\">\n\n<$list filter=\"[all[current]regexp:draft.title<pattern>]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/BadCharacterWarning}}\n\n</div>\n\n</$list>\n\n</$vars>\n\n<$reveal state=\"!!draft.title\" type=\"nomatch\" text={{!!draft.of}} tag=\"div\">\n\n<$list filter=\"[{!!draft.title}!is[missing]]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/Exists/Prompt}}\n\n</div>\n\n</$list>\n\n<$list filter=\"[{!!draft.of}!is[missing]]\" variable=\"listItem\">\n\n<$vars fromTitle={{!!draft.of}} toTitle={{!!draft.title}}>\n\n<$checkbox tiddler=\"$:/config/RelinkOnRename\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> {{$:/language/EditTemplate/Title/Relink/Prompt}}</$checkbox>\n\n<$list filter=\"[title<fromTitle>backlinks[]limit[1]]\" variable=\"listItem\">\n\n<$vars stateTiddler=<<qualify \"$:/state/edit/references\">> >\n\n<$reveal type=\"nomatch\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"show\" class=\"tc-btn-invisible\">{{$:/core/images/right-arrow}} \n<<lingo EditTemplate/Title/References/Prompt>></$button>\n</$reveal>\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"hide\" class=\"tc-btn-invisible\">{{$:/core/images/down-arrow}} \n<<lingo EditTemplate/Title/References/Prompt>></$button>\n</$reveal>\n\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$tiddler tiddler=<<fromTitle>> >\n<$transclude tiddler=\"$:/core/ui/TiddlerInfo/References\"/>\n</$tiddler>\n</$reveal>\n\n</$vars>\n\n</$list>\n\n</$vars>\n\n</$list>\n\n</$reveal>\n"
        },
        "$:/core/ui/EditTemplate/type": {
            "title": "$:/core/ui/EditTemplate/type",
            "tags": "$:/tags/EditTemplate",
            "first-search-filter": "[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]sort[description]sort[group-sort]removeprefix[$:/language/Docs/Types/]search<userInput>]",
            "text": "\\define lingo-base() $:/language/EditTemplate/\n\\define input-cancel-actions() <$list filter=\"[<storeTitle>get[text]] [<currentTiddler>get[type]] +[limit[1]]\" emptyMessage=\"\"\"<<cancel-delete-tiddler-actions \"cancel\">>\"\"\"><$action-sendmessage $message=\"tm-remove-field\" $param=\"type\"/><$action-deletetiddler $filter=\"[<typeInputTiddler>] [<refreshTitle>] [<typeSelectionTiddler>]\"/></$list>\n\\whitespace trim\n<$set name=\"refreshTitle\" value=<<qualify \"$:/temp/type-search/refresh\">>>\n<div class=\"tc-edit-type-selector-wrapper\">\n<em class=\"tc-edit tc-big-gap-right\"><<lingo Type/Prompt>></em>\n<div class=\"tc-type-selector-dropdown-wrapper\">\n<div class=\"tc-type-selector\"><$fieldmangler>\n<$macrocall $name=\"keyboard-driven-input\" tiddler=<<currentTiddler>> storeTitle=<<typeInputTiddler>> refreshTitle=<<refreshTitle>> selectionStateTitle=<<typeSelectionTiddler>> field=\"type\" tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Type/Placeholder}} focusPopup=<<qualify \"$:/state/popup/type-dropdown\">> class=\"tc-edit-typeeditor tc-edit-texteditor tc-popup-handle\" tabindex={{$:/config/EditTabIndex}} focus={{{ [{$:/config/AutoFocus}match[type]then[true]] ~[[false]] }}} cancelPopups=\"yes\" configTiddlerFilter=\"[[$:/core/ui/EditTemplate/type]]\" inputCancelActions=<<input-cancel-actions>>/><$button popup=<<qualify \"$:/state/popup/type-dropdown\">> class=\"tc-btn-invisible tc-btn-dropdown tc-small-gap\" tooltip={{$:/language/EditTemplate/Type/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Type/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button><$button message=\"tm-remove-field\" param=\"type\" class=\"tc-btn-invisible tc-btn-icon\" tooltip={{$:/language/EditTemplate/Type/Delete/Hint}} aria-label={{$:/language/EditTemplate/Type/Delete/Caption}}>{{$:/core/images/delete-button}}<$action-deletetiddler $filter=\"[<storeTitle>] [<refreshTitle>] [<selectionStateTitle>]\"/></$button>\n</$fieldmangler></div>\n\n<div class=\"tc-block-dropdown-wrapper\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$reveal state=<<qualify \"$:/state/popup/type-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$linkcatcher to=\"!!type\">\n<$list filter='[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]each[group]sort[group-sort]]'>\n<div class=\"tc-dropdown-item\">\n<$text text={{!!group}}/>\n</div>\n<$set name=\"userInput\" value={{{ [<typeInputTiddler>get[text]] }}}>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]group{!!group}] +[sort[description]] +[removeprefix[$:/language/Docs/Types/]] +[search<userInput>]\"><span class={{{ [<currentTiddler>addsuffix[-primaryList]] -[<typeSelectionTiddler>get[text]] +[then[]else[tc-list-item-selected]] }}}><$link to={{{ [<currentTiddler>addprefix[$:/language/Docs/Types/]get[name]] }}}><$view tiddler={{{ [<currentTiddler>addprefix[$:/language/Docs/Types/]] }}} field=\"description\"/> (<$view tiddler={{{ [<currentTiddler>addprefix[$:/language/Docs/Types/]] }}} field=\"name\"/>)</$link></span>\n</$list>\n</$set>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>\n</$set>\n</div>\n</div>\n</div>\n</$set>\n"
        },
        "$:/core/ui/EditTemplate": {
            "title": "$:/core/ui/EditTemplate",
            "text": "\\define delete-edittemplate-state-tiddlers() <$action-deletetiddler $filter=\"[<newFieldNameTiddler>] [<newFieldValueTiddler>] [<newFieldNameInputTiddler>] [<newFieldNameSelectionTiddler>] [<newTagNameTiddler>] [<newTagNameInputTiddler>] [<newTagNameSelectionTiddler>] [<typeInputTiddler>] [<typeSelectionTiddler>]\"/>\n\\define save-tiddler-actions()\n<$action-sendmessage $message=\"tm-add-tag\" $param={{{ [<newTagNameTiddler>get[text]] }}}/>\n<$action-sendmessage $message=\"tm-add-field\" $name={{{ [<newFieldNameTiddler>get[text]] }}} $value={{{ [<newFieldValueTiddler>get[text]] }}}/>\n<<delete-edittemplate-state-tiddlers>>\n<$action-sendmessage $message=\"tm-save-tiddler\"/>\n\\end\n\\define cancel-delete-tiddler-actions(message)\n<<delete-edittemplate-state-tiddlers>>\n<$action-sendmessage $message=\"tm-$message$-tiddler\"/>\n\\end\n<div data-tiddler-title=<<currentTiddler>> data-tags={{!!tags}} class={{{ tc-tiddler-frame tc-tiddler-edit-frame [<currentTiddler>is[tiddler]then[tc-tiddler-exists]] [<currentTiddler>is[missing]!is[shadow]then[tc-tiddler-missing]] [<currentTiddler>is[shadow]then[tc-tiddler-exists tc-tiddler-shadow]] [<currentTiddler>is[system]then[tc-tiddler-system]] [{!!class}] [<currentTiddler>tags[]encodeuricomponent[]addprefix[tc-tagged-]] +[join[ ]] }}}>\n<$fieldmangler>\n<$vars storyTiddler=<<currentTiddler>> newTagNameTiddler=<<qualify \"$:/temp/NewTagName\">> newFieldNameTiddler=<<qualify \"$:/temp/NewFieldName\">> newFieldValueTiddler=<<qualify \"$:/temp/NewFieldValue\">> newFieldNameInputTiddler=<<qualify \"$:/temp/NewFieldName/input\">> newFieldNameSelectionTiddler=<<qualify \"$:/temp/NewFieldName/selected-item\">> newTagNameInputTiddler=<<qualify \"$:/temp/NewTagName/input\">> newTagNameSelectionTiddler=<<qualify \"$:/temp/NewTagName/selected-item\">> typeInputTiddler=<<qualify \"$:/temp/Type/input\">> typeSelectionTiddler=<<qualify \"$:/temp/Type/selected-item\">>>\n<$keyboard key=\"((cancel-edit-tiddler))\" actions=<<cancel-delete-tiddler-actions \"cancel\">>>\n<$keyboard key=\"((save-tiddler))\" actions=<<save-tiddler-actions>>>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditTemplate]!has[draft.of]]\" variable=\"listItem\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>>/>\n</$set>\n</$list>\n</$keyboard>\n</$keyboard>\n</$vars>\n</$fieldmangler>\n</div>\n"
        },
        "$:/core/ui/Buttons/cancel": {
            "title": "$:/core/ui/Buttons/cancel",
            "tags": "$:/tags/EditToolbar",
            "caption": "{{$:/core/images/cancel-button}} {{$:/language/Buttons/Cancel/Caption}}",
            "description": "{{$:/language/Buttons/Cancel/Hint}}",
            "text": "\\whitespace trim\n<$button actions=<<cancel-delete-tiddler-actions \"cancel\">> tooltip={{$:/language/Buttons/Cancel/Hint}} aria-label={{$:/language/Buttons/Cancel/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/cancel-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Cancel/Caption}}/></span>\n</$list>\n</$button>\n"
        },
        "$:/core/ui/Buttons/delete": {
            "title": "$:/core/ui/Buttons/delete",
            "tags": "$:/tags/EditToolbar $:/tags/ViewToolbar",
            "caption": "{{$:/core/images/delete-button}} {{$:/language/Buttons/Delete/Caption}}",
            "description": "{{$:/language/Buttons/Delete/Hint}}",
            "text": "\\whitespace trim\n<$button actions=<<cancel-delete-tiddler-actions \"delete\">> tooltip={{$:/language/Buttons/Delete/Hint}} aria-label={{$:/language/Buttons/Delete/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/delete-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Delete/Caption}}/></span>\n</$list>\n</$button>\n"
        },
        "$:/core/ui/Buttons/save": {
            "title": "$:/core/ui/Buttons/save",
            "tags": "$:/tags/EditToolbar",
            "caption": "{{$:/core/images/done-button}} {{$:/language/Buttons/Save/Caption}}",
            "description": "{{$:/language/Buttons/Save/Hint}}",
            "text": "\\define save-tiddler-button()\n\\whitespace trim\n<$fieldmangler><$button tooltip={{$:/language/Buttons/Save/Hint}} aria-label={{$:/language/Buttons/Save/Caption}} class=<<tv-config-toolbar-class>>>\n<<save-tiddler-actions>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/done-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Save/Caption}}/></span>\n</$list>\n</$button></$fieldmangler>\n\\end\n<<save-tiddler-button>>\n"
        },
        "$:/core/ui/EditorToolbar/bold": {
            "title": "$:/core/ui/EditorToolbar/bold",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/bold",
            "caption": "{{$:/language/Buttons/Bold/Caption}}",
            "description": "{{$:/language/Buttons/Bold/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((bold))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"''\"\n\tsuffix=\"''\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/clear-dropdown": {
            "title": "$:/core/ui/EditorToolbar/clear-dropdown",
            "text": "''{{$:/language/Buttons/Clear/Hint}}''\n\n<div class=\"tc-colour-chooser\">\n\n<$macrocall $name=\"colour-picker\" actions=\"\"\"\n\n<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"clear\"\n\tcolour=<<colour-picker-value>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n\n</div>\n"
        },
        "$:/core/ui/EditorToolbar/clear": {
            "title": "$:/core/ui/EditorToolbar/clear",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/erase",
            "caption": "{{$:/language/Buttons/Clear/Caption}}",
            "description": "{{$:/language/Buttons/Clear/Hint}}",
            "condition": "[<targetTiddler>is[image]] -[<targetTiddler>type[image/svg+xml]]",
            "dropdown": "$:/core/ui/EditorToolbar/clear-dropdown",
            "text": ""
        },
        "$:/core/ui/EditorToolbar/editor-height-dropdown": {
            "title": "$:/core/ui/EditorToolbar/editor-height-dropdown",
            "text": "\\define lingo-base() $:/language/Buttons/EditorHeight/\n''<<lingo Hint>>''\n\n<$radio tiddler=\"$:/config/TextEditor/EditorHeight/Mode\" value=\"auto\"> {{$:/core/images/auto-height}} <<lingo Caption/Auto>></$radio>\n\n<$radio tiddler=\"$:/config/TextEditor/EditorHeight/Mode\" value=\"fixed\"> {{$:/core/images/fixed-height}} <<lingo Caption/Fixed>> <$edit-text tag=\"input\" tiddler=\"$:/config/TextEditor/EditorHeight/Height\" default=\"100px\"/></$radio>\n"
        },
        "$:/core/ui/EditorToolbar/editor-height": {
            "title": "$:/core/ui/EditorToolbar/editor-height",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/fixed-height",
            "custom-icon": "yes",
            "caption": "{{$:/language/Buttons/EditorHeight/Caption}}",
            "description": "{{$:/language/Buttons/EditorHeight/Hint}}",
            "condition": "[<targetTiddler>type[]] [<targetTiddler>get[type]prefix[text/]] [<targetTiddler>get[type]match[application/javascript]] [<targetTiddler>get[type]match[application/json]] [<targetTiddler>get[type]match[application/x-tiddler-dictionary]] [<targetTiddler>get[type]match[image/svg+xml]] +[first[]]",
            "dropdown": "$:/core/ui/EditorToolbar/editor-height-dropdown",
            "text": "<$reveal tag=\"span\" state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"fixed\">\n{{$:/core/images/fixed-height}}\n</$reveal>\n<$reveal tag=\"span\" state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"auto\">\n{{$:/core/images/auto-height}}\n</$reveal>\n"
        },
        "$:/core/ui/EditorToolbar/excise-dropdown": {
            "title": "$:/core/ui/EditorToolbar/excise-dropdown",
            "text": "\\define lingo-base() $:/language/Buttons/Excise/\n\n\\define body(config-title)\n''<<lingo Hint>>''\n\n<<lingo Caption/NewTitle>> <$edit-text tag=\"input\" tiddler=\"$config-title$/new-title\" default=\"\" focus=\"true\"/>\n\n<$set name=\"new-title\" value={{$config-title$/new-title}}>\n<$list filter=\"\"\"[<new-title>is[tiddler]]\"\"\">\n<div class=\"tc-error\">\n<<lingo Caption/TiddlerExists>>\n</div>\n</$list>\n</$set>\n\n<$checkbox tiddler=\"\"\"$config-title$/tagnew\"\"\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"false\"> <<lingo Caption/Tag>></$checkbox>\n\n<<lingo Caption/Replace>> <$select tiddler=\"\"\"$config-title$/type\"\"\" default=\"transclude\">\n<option value=\"link\"><<lingo Caption/Replace/Link>></option>\n<option value=\"transclude\"><<lingo Caption/Replace/Transclusion>></option>\n<option value=\"macro\"><<lingo Caption/Replace/Macro>></option>\n</$select>\n\n<$reveal state=\"\"\"$config-title$/type\"\"\" type=\"match\" text=\"macro\">\n<<lingo Caption/MacroName>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/macro-title\"\"\" default=\"translink\"/>\n</$reveal>\n\n<$button>\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"excise\"\n\ttitle={{$config-title$/new-title}}\n\ttype={{$config-title$/type}}\n\tmacro={{$config-title$/macro-title}}\n\ttagnew={{$config-title$/tagnew}}\n/>\n<$action-deletetiddler\n\t$tiddler=\"$config-title$/new-title\"\n/>\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n<<lingo Caption/Excise>>\n</$button>\n\\end\n\n<$macrocall $name=\"body\" config-title=<<qualify \"$:/state/Excise/\">>/>\n"
        },
        "$:/core/ui/EditorToolbar/excise": {
            "title": "$:/core/ui/EditorToolbar/excise",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/excise",
            "caption": "{{$:/language/Buttons/Excise/Caption}}",
            "description": "{{$:/language/Buttons/Excise/Hint}}",
            "condition": "[<targetTiddler>type[]] [<targetTiddler>type[text/vnd.tiddlywiki]] +[first[]]",
            "shortcuts": "((excise))",
            "dropdown": "$:/core/ui/EditorToolbar/excise-dropdown",
            "text": ""
        },
        "$:/core/ui/EditorToolbar/heading-1": {
            "title": "$:/core/ui/EditorToolbar/heading-1",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-1",
            "caption": "{{$:/language/Buttons/Heading1/Caption}}",
            "description": "{{$:/language/Buttons/Heading1/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "button-classes": "tc-text-editor-toolbar-item-start-group",
            "shortcuts": "((heading-1))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"1\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/heading-2": {
            "title": "$:/core/ui/EditorToolbar/heading-2",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-2",
            "caption": "{{$:/language/Buttons/Heading2/Caption}}",
            "description": "{{$:/language/Buttons/Heading2/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((heading-2))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"2\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/heading-3": {
            "title": "$:/core/ui/EditorToolbar/heading-3",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-3",
            "caption": "{{$:/language/Buttons/Heading3/Caption}}",
            "description": "{{$:/language/Buttons/Heading3/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((heading-3))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"3\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/heading-4": {
            "title": "$:/core/ui/EditorToolbar/heading-4",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-4",
            "caption": "{{$:/language/Buttons/Heading4/Caption}}",
            "description": "{{$:/language/Buttons/Heading4/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((heading-4))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"4\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/heading-5": {
            "title": "$:/core/ui/EditorToolbar/heading-5",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-5",
            "caption": "{{$:/language/Buttons/Heading5/Caption}}",
            "description": "{{$:/language/Buttons/Heading5/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((heading-5))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"5\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/heading-6": {
            "title": "$:/core/ui/EditorToolbar/heading-6",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-6",
            "caption": "{{$:/language/Buttons/Heading6/Caption}}",
            "description": "{{$:/language/Buttons/Heading6/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((heading-6))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"6\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/italic": {
            "title": "$:/core/ui/EditorToolbar/italic",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/italic",
            "caption": "{{$:/language/Buttons/Italic/Caption}}",
            "description": "{{$:/language/Buttons/Italic/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((italic))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"//\"\n\tsuffix=\"//\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/line-width-dropdown": {
            "title": "$:/core/ui/EditorToolbar/line-width-dropdown",
            "text": "\\define lingo-base() $:/language/Buttons/LineWidth/\n\n\\define toolbar-line-width-inner()\n<$button tag=\"a\" tooltip=\"\"\"$(line-width)$\"\"\">\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/LineWidth\"\n\t$value=\"$(line-width)$\"\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<div style=\"display: inline-block; margin: 4px calc(80px - $(line-width)$); background-color: #000; width: calc(100px + $(line-width)$ * 2); height: $(line-width)$; border-radius: 120px; vertical-align: middle;\"/>\n\n<span style=\"margin-left: 8px;\">\n\n<$text text=\"\"\"$(line-width)$\"\"\"/>\n\n<$reveal state=\"$:/config/BitmapEditor/LineWidth\" type=\"match\" text=\"\"\"$(line-width)$\"\"\" tag=\"span\">\n\n<$entity entity=\"&nbsp;\"/>\n\n<$entity entity=\"&#x2713;\"/>\n\n</$reveal>\n\n</span>\n\n</$button>\n\\end\n\n''<<lingo Hint>>''\n\n<$list filter={{$:/config/BitmapEditor/LineWidths}} variable=\"line-width\">\n\n<<toolbar-line-width-inner>>\n\n</$list>\n"
        },
        "$:/core/ui/EditorToolbar/line-width": {
            "title": "$:/core/ui/EditorToolbar/line-width",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/line-width",
            "caption": "{{$:/language/Buttons/LineWidth/Caption}}",
            "description": "{{$:/language/Buttons/LineWidth/Hint}}",
            "condition": "[<targetTiddler>is[image]] -[<targetTiddler>type[image/svg+xml]]",
            "dropdown": "$:/core/ui/EditorToolbar/line-width-dropdown",
            "text": "<$text text={{$:/config/BitmapEditor/LineWidth}}/>\n"
        },
        "$:/core/ui/EditorToolbar/link-dropdown": {
            "title": "$:/core/ui/EditorToolbar/link-dropdown",
            "text": "\\define lingo-base() $:/language/Buttons/Link/\n\n\\define add-link-actions()\n<$action-sendmessage $message=\"tm-edit-text-operation\" $param=\"make-link\" text={{$(linkTiddler)$}} />\n<$action-deletetiddler $filter=\"[<dropdown-state>] [<searchTiddler>] [<linkTiddler>] [<storeTitle>] [<searchListState>]\"/>\n\\end\n\n\\define get-focus-selector() [data-tiddler-title=\"$(cssEscapedTitle)$\"] .tc-create-wikitext-link input\n\n\\define cancel-search-actions-inner()\n<$set name=\"userInput\" value={{{ [<storeTitle>get[text]] }}}><$list filter=\"[<searchTiddler>get[text]!match<userInput>]\" emptyMessage=\"\"\"<$action-deletetiddler $filter=\"[<searchTiddler>] [<linkTiddler>] [<storeTitle>] [<searchListState>]\"/>\"\"\"><$action-setfield $tiddler=<<searchTiddler>> text=<<userInput>>/><$action-setfield $tiddler=<<refreshTitle>> text=\"yes\"/></$list></$set>\n\\end\n\n\\define cancel-search-actions() <$list filter=\"[<storeTitle>!has[text]] +[<searchTiddler>!has[text]]\" emptyMessage=\"\"\"<<cancel-search-actions-inner>>\"\"\"><$action-sendmessage $message=\"tm-edit-text-operation\" $param=\"wrap-selection\" prefix=\"\" suffix=\"\"/></$list>\n\n\\define external-link()\n<$button class=\"tc-btn-invisible\" style=\"width: auto; display: inline-block; background-colour: inherit;\" actions=<<add-link-actions>>>\n{{$:/core/images/chevron-right}}\n</$button>\n\\end\n\n\\define set-next-input-tab(beforeafter:\"after\") <$macrocall $name=\"change-input-tab\" stateTitle=\"$:/state/tab/search-results/sidebar\" tag=\"$:/tags/SearchResults\" beforeafter=\"$beforeafter$\" defaultState={{$:/config/SearchResults/Default}} actions=\"\"\"<$action-setfield $tiddler=\"$:/state/search/currentTab\" text=<<nextTab>>/>\"\"\"/>\n\n\\define body(config-title)\n''<<lingo Hint>>''\n\n<$vars searchTiddler=\"\"\"$config-title$/search\"\"\" linkTiddler=\"\"\"$config-title$/link\"\"\" linktext=\"\" searchListState=<<qualify \"$:/temp/link-search/selected-item\">> refreshTitle=<<qualify \"$:/temp/link-search/refresh\">> storeTitle=<<qualify \"$:/temp/link-search/input\">>>\n\n<$vars linkTiddler=<<searchTiddler>>>\n<$keyboard key=\"((input-tab-right))\" actions=<<set-next-input-tab>>>\n<$keyboard key=\"((input-tab-left))\" actions=<<set-next-input-tab \"before\">> class=\"tc-create-wikitext-link\">\n<$macrocall $name=\"keyboard-driven-input\" tiddler=<<searchTiddler>> storeTitle=<<storeTitle>>\n\t\tselectionStateTitle=<<searchListState>> refreshTitle=<<refreshTitle>> type=\"search\" filterMinLength=\"1\"\n\t\ttag=\"input\" focus=\"true\" class=\"tc-popup-handle\" inputCancelActions=<<cancel-search-actions>> \n\t\tinputAcceptActions=<<add-link-actions>> placeholder={{$:/language/Search/Search}} default=\"\" \n\t\tconfigTiddlerFilter=\"[[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}]\" />\n</$keyboard>\n</$keyboard>\n<$reveal tag=\"span\" state=<<storeTitle>> type=\"nomatch\" text=\"\">\n<<external-link>>\n<$button class=\"tc-btn-invisible\" style=\"width: auto; display: inline-block; background-colour: inherit;\">\n<<cancel-search-actions>><$set name=\"cssEscapedTitle\" value={{{ [<storyTiddler>escapecss[]] }}}><$action-sendmessage $message=\"tm-focus-selector\" $param=<<get-focus-selector>>/></$set>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</$vars>\n\n<$reveal tag=\"div\" state=<<storeTitle>> type=\"nomatch\" text=\"\">\n\n<$linkcatcher actions=<<add-link-actions>> to=<<linkTiddler>>>\n\n<$vars userInput={{{ [<storeTitle>get[text]] }}} configTiddler={{{ [[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}] }}}>\n\n{{$:/core/ui/SearchResults}}\n\n</$vars>\n\n</$linkcatcher>\n\n</$reveal>\n\n</$vars>\n\n\\end\n\n<$macrocall $name=\"body\" config-title=<<qualify \"$:/state/Link/\">>/>\n"
        },
        "$:/core/ui/EditorToolbar/link": {
            "title": "$:/core/ui/EditorToolbar/link",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/link",
            "caption": "{{$:/language/Buttons/Link/Caption}}",
            "description": "{{$:/language/Buttons/Link/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "button-classes": "tc-text-editor-toolbar-item-start-group",
            "shortcuts": "((link))",
            "dropdown": "$:/core/ui/EditorToolbar/link-dropdown",
            "text": ""
        },
        "$:/core/ui/EditorToolbar/linkify": {
            "title": "$:/core/ui/EditorToolbar/linkify",
            "caption": "{{$:/language/Buttons/Linkify/Caption}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "description": "{{$:/language/Buttons/Linkify/Hint}}",
            "icon": "$:/core/images/linkify",
            "list-before": "$:/core/ui/EditorToolbar/mono-block",
            "shortcuts": "((linkify))",
            "tags": "$:/tags/EditorToolbar",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"[[\"\n\tsuffix=\"]]\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/list-bullet": {
            "title": "$:/core/ui/EditorToolbar/list-bullet",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/list-bullet",
            "caption": "{{$:/language/Buttons/ListBullet/Caption}}",
            "description": "{{$:/language/Buttons/ListBullet/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((list-bullet))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"*\"\n\tcount=\"1\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/list-number": {
            "title": "$:/core/ui/EditorToolbar/list-number",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/list-number",
            "caption": "{{$:/language/Buttons/ListNumber/Caption}}",
            "description": "{{$:/language/Buttons/ListNumber/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((list-number))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"1\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/mono-block": {
            "title": "$:/core/ui/EditorToolbar/mono-block",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/mono-block",
            "caption": "{{$:/language/Buttons/MonoBlock/Caption}}",
            "description": "{{$:/language/Buttons/MonoBlock/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "button-classes": "tc-text-editor-toolbar-item-start-group",
            "shortcuts": "((mono-block))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n```\"\n\tsuffix=\"```\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/mono-line": {
            "title": "$:/core/ui/EditorToolbar/mono-line",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/mono-line",
            "caption": "{{$:/language/Buttons/MonoLine/Caption}}",
            "description": "{{$:/language/Buttons/MonoLine/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((mono-line))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"`\"\n\tsuffix=\"`\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/more-dropdown": {
            "title": "$:/core/ui/EditorToolbar/more-dropdown",
            "text": "\\define config-title()\n$:/config/EditorToolbarButtons/Visibility/$(toolbarItem)$\n\\end\n\n\\define conditional-button()\n<$list filter={{$(toolbarItem)$!!condition}} variable=\"condition\">\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/toolbar/button\" mode=\"inline\"/> <$transclude tiddler=<<toolbarItem>> field=\"description\"/>\n</$list>\n\\end\n\n<div class=\"tc-text-editor-toolbar-more\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditorToolbar]!has[draft.of]] -[[$:/core/ui/EditorToolbar/more]]\">\n<$reveal type=\"match\" state=<<config-visibility-title>> text=\"hide\" tag=\"div\">\n<<conditional-button>>\n</$reveal>\n</$list>\n</div>\n"
        },
        "$:/core/ui/EditorToolbar/more": {
            "title": "$:/core/ui/EditorToolbar/more",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/down-arrow",
            "caption": "{{$:/language/Buttons/More/Caption}}",
            "description": "{{$:/language/Buttons/More/Hint}}",
            "condition": "[<targetTiddler>]",
            "dropdown": "$:/core/ui/EditorToolbar/more-dropdown",
            "text": ""
        },
        "$:/core/ui/EditorToolbar/opacity-dropdown": {
            "title": "$:/core/ui/EditorToolbar/opacity-dropdown",
            "text": "\\define lingo-base() $:/language/Buttons/Opacity/\n\n\\define toolbar-opacity-inner()\n<$button tag=\"a\" tooltip=\"\"\"$(opacity)$\"\"\">\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/Opacity\"\n\t$value=\"$(opacity)$\"\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<div style=\"display: inline-block; vertical-align: middle; background-color: $(current-paint-colour)$; opacity: $(opacity)$; width: 1em; height: 1em; border-radius: 50%;\"/>\n\n<span style=\"margin-left: 8px;\">\n\n<$text text=\"\"\"$(opacity)$\"\"\"/>\n\n<$reveal state=\"$:/config/BitmapEditor/Opacity\" type=\"match\" text=\"\"\"$(opacity)$\"\"\" tag=\"span\">\n\n<$entity entity=\"&nbsp;\"/>\n\n<$entity entity=\"&#x2713;\"/>\n\n</$reveal>\n\n</span>\n\n</$button>\n\\end\n\n\\define toolbar-opacity()\n''<<lingo Hint>>''\n\n<$list filter={{$:/config/BitmapEditor/Opacities}} variable=\"opacity\">\n\n<<toolbar-opacity-inner>>\n\n</$list>\n\\end\n\n<$set name=\"current-paint-colour\" value={{$:/config/BitmapEditor/Colour}}>\n\n<$set name=\"current-opacity\" value={{$:/config/BitmapEditor/Opacity}}>\n\n<<toolbar-opacity>>\n\n</$set>\n\n</$set>\n"
        },
        "$:/core/ui/EditorToolbar/opacity": {
            "title": "$:/core/ui/EditorToolbar/opacity",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/opacity",
            "caption": "{{$:/language/Buttons/Opacity/Caption}}",
            "description": "{{$:/language/Buttons/Opacity/Hint}}",
            "condition": "[<targetTiddler>is[image]] -[<targetTiddler>type[image/svg+xml]]",
            "dropdown": "$:/core/ui/EditorToolbar/opacity-dropdown",
            "text": "<$text text={{$:/config/BitmapEditor/Opacity}}/>\n"
        },
        "$:/core/ui/EditorToolbar/paint-dropdown": {
            "title": "$:/core/ui/EditorToolbar/paint-dropdown",
            "text": "''{{$:/language/Buttons/Paint/Hint}}''\n\n<$macrocall $name=\"colour-picker\" actions=\"\"\"\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/Colour\"\n\t$value=<<colour-picker-value>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n"
        },
        "$:/core/ui/EditorToolbar/paint": {
            "title": "$:/core/ui/EditorToolbar/paint",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/paint",
            "caption": "{{$:/language/Buttons/Paint/Caption}}",
            "description": "{{$:/language/Buttons/Paint/Hint}}",
            "condition": "[<targetTiddler>is[image]] -[<targetTiddler>type[image/svg+xml]]",
            "dropdown": "$:/core/ui/EditorToolbar/paint-dropdown",
            "text": "\\define toolbar-paint()\n<div style=\"display: inline-block; vertical-align: middle; background-color: $(colour-picker-value)$; width: 1em; height: 1em; border-radius: 50%;\"/>\n\\end\n<$set name=\"colour-picker-value\" value={{$:/config/BitmapEditor/Colour}}>\n<<toolbar-paint>>\n</$set>\n"
        },
        "$:/core/ui/EditorToolbar/picture-dropdown": {
            "title": "$:/core/ui/EditorToolbar/picture-dropdown",
            "text": "\\define replacement-text()\n[img[$(imageTitle)$]]\n\\end\n\n''{{$:/language/Buttons/Picture/Hint}}''\n\n<$macrocall $name=\"image-picker\" actions=\"\"\"\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"replace-selection\"\n\ttext=<<replacement-text>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n"
        },
        "$:/core/ui/EditorToolbar/picture": {
            "title": "$:/core/ui/EditorToolbar/picture",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/picture",
            "caption": "{{$:/language/Buttons/Picture/Caption}}",
            "description": "{{$:/language/Buttons/Picture/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((picture))",
            "dropdown": "$:/core/ui/EditorToolbar/picture-dropdown",
            "text": ""
        },
        "$:/core/ui/EditorToolbar/preview-type-dropdown": {
            "title": "$:/core/ui/EditorToolbar/preview-type-dropdown",
            "text": "\\define preview-type-button()\n<$button tag=\"a\">\n\n<$action-setfield $tiddler=\"$:/state/editpreviewtype\" $value=\"$(previewType)$\"/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<$transclude tiddler=<<previewType>> field=\"caption\" mode=\"inline\">\n\n<$view tiddler=<<previewType>> field=\"title\" mode=\"inline\"/>\n\n</$transclude> \n\n<$reveal tag=\"span\" state=\"$:/state/editpreviewtype\" type=\"match\" text=<<previewType>> default=\"$:/core/ui/EditTemplate/body/preview/output\">\n\n<$entity entity=\"&nbsp;\"/>\n\n<$entity entity=\"&#x2713;\"/>\n\n</$reveal>\n\n</$button>\n\\end\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditPreview]!has[draft.of]]\" variable=\"previewType\">\n\n<<preview-type-button>>\n\n</$list>\n"
        },
        "$:/core/ui/EditorToolbar/preview-type": {
            "title": "$:/core/ui/EditorToolbar/preview-type",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/chevron-down",
            "caption": "{{$:/language/Buttons/PreviewType/Caption}}",
            "description": "{{$:/language/Buttons/PreviewType/Hint}}",
            "condition": "[all[shadows+tiddlers]tag[$:/tags/EditPreview]!has[draft.of]butfirst[]limit[1]]",
            "button-classes": "tc-text-editor-toolbar-item-adjunct",
            "dropdown": "$:/core/ui/EditorToolbar/preview-type-dropdown"
        },
        "$:/core/ui/EditorToolbar/preview": {
            "title": "$:/core/ui/EditorToolbar/preview",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/preview-open",
            "custom-icon": "yes",
            "caption": "{{$:/language/Buttons/Preview/Caption}}",
            "description": "{{$:/language/Buttons/Preview/Hint}}",
            "condition": "[<targetTiddler>]",
            "button-classes": "tc-text-editor-toolbar-item-start-group",
            "shortcuts": "((preview))",
            "text": "<$reveal state=\"$:/state/showeditpreview\" type=\"match\" text=\"yes\" tag=\"span\">\n{{$:/core/images/preview-open}}\n<$action-setfield $tiddler=\"$:/state/showeditpreview\" $value=\"no\"/>\n</$reveal>\n<$reveal state=\"$:/state/showeditpreview\" type=\"nomatch\" text=\"yes\" tag=\"span\">\n{{$:/core/images/preview-closed}}\n<$action-setfield $tiddler=\"$:/state/showeditpreview\" $value=\"yes\"/>\n</$reveal>\n"
        },
        "$:/core/ui/EditorToolbar/quote": {
            "title": "$:/core/ui/EditorToolbar/quote",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/quote",
            "caption": "{{$:/language/Buttons/Quote/Caption}}",
            "description": "{{$:/language/Buttons/Quote/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((quote))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n<<<\"\n\tsuffix=\"<<<\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/rotate-left": {
            "title": "$:/core/ui/EditorToolbar/rotate-left",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/rotate-left",
            "caption": "{{$:/language/Buttons/RotateLeft/Caption}}",
            "description": "{{$:/language/Buttons/RotateLeft/Hint}}",
            "condition": "[<targetTiddler>is[image]] -[<targetTiddler>type[image/svg+xml]]",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"rotate-left\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/size-dropdown": {
            "title": "$:/core/ui/EditorToolbar/size-dropdown",
            "text": "\\define lingo-base() $:/language/Buttons/Size/\n\n\\define toolbar-button-size-preset(config-title)\n<$set name=\"width\" filter=\"$(sizePair)$ +[first[]]\">\n\n<$set name=\"height\" filter=\"$(sizePair)$ +[last[]]\">\n\n<$button tag=\"a\">\n\n<$action-setfield\n\t$tiddler=\"\"\"$config-title$/new-width\"\"\"\n\t$value=<<width>>\n/>\n\n<$action-setfield\n\t$tiddler=\"\"\"$config-title$/new-height\"\"\"\n\t$value=<<height>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/presets-popup\"\"\"\n/>\n\n<$text text=<<width>>/> &times; <$text text=<<height>>/>\n\n</$button>\n\n</$set>\n\n</$set>\n\\end\n\n\\define toolbar-button-size(config-title)\n''{{$:/language/Buttons/Size/Hint}}''\n\n<<lingo Caption/Width>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/new-width\"\"\" default=<<tv-bitmap-editor-width>> focus=\"true\" size=\"8\"/> <<lingo Caption/Height>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/new-height\"\"\" default=<<tv-bitmap-editor-height>> size=\"8\"/> <$button popup=\"\"\"$config-title$/presets-popup\"\"\" class=\"tc-btn-invisible tc-popup-keep\" style=\"width: auto; display: inline-block; background-colour: inherit;\" selectedClass=\"tc-selected\">\n{{$:/core/images/down-arrow}}\n</$button>\n\n<$reveal tag=\"span\" state=\"\"\"$config-title$/presets-popup\"\"\" type=\"popup\" position=\"belowleft\" animate=\"yes\">\n\n<div class=\"tc-drop-down tc-popup-keep\">\n\n<$list filter={{$:/config/BitmapEditor/ImageSizes}} variable=\"sizePair\">\n\n<$macrocall $name=\"toolbar-button-size-preset\" config-title=\"$config-title$\"/>\n\n</$list>\n\n</div>\n\n</$reveal>\n\n<$button>\n<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"resize\"\n\twidth={{$config-title$/new-width}}\n\theight={{$config-title$/new-height}}\n/>\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/new-width\"\"\"\n/>\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/new-height\"\"\"\n/>\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n<<lingo Caption/Resize>>\n</$button>\n\\end\n\n<$macrocall $name=\"toolbar-button-size\" config-title=<<qualify \"$:/state/Size/\">>/>\n"
        },
        "$:/core/ui/EditorToolbar/size": {
            "title": "$:/core/ui/EditorToolbar/size",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/size",
            "caption": "{{$:/language/Buttons/Size/Caption}}",
            "description": "{{$:/language/Buttons/Size/Hint}}",
            "condition": "[<targetTiddler>is[image]] -[<targetTiddler>type[image/svg+xml]]",
            "dropdown": "$:/core/ui/EditorToolbar/size-dropdown",
            "text": ""
        },
        "$:/core/ui/EditorToolbar/stamp-dropdown": {
            "title": "$:/core/ui/EditorToolbar/stamp-dropdown",
            "text": "\\define toolbar-button-stamp-inner()\n<$button tag=\"a\">\n\n<$list filter=\"[[$(snippetTitle)$]addsuffix[/prefix]is[missing]removesuffix[/prefix]addsuffix[/suffix]is[missing]]\">\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"replace-selection\"\n\ttext={{$(snippetTitle)$}}\n/>\n\n</$list>\n\n\n<$list filter=\"[[$(snippetTitle)$]addsuffix[/prefix]is[missing]removesuffix[/prefix]addsuffix[/suffix]!is[missing]] [[$(snippetTitle)$]addsuffix[/prefix]!is[missing]removesuffix[/prefix]addsuffix[/suffix]is[missing]] [[$(snippetTitle)$]addsuffix[/prefix]!is[missing]removesuffix[/prefix]addsuffix[/suffix]!is[missing]]\">\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix={{{ [[$(snippetTitle)$]addsuffix[/prefix]get[text]] }}}\nsuffix={{{ [[$(snippetTitle)$]addsuffix[/suffix]get[text]] }}}\n/>\n\n</$list>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<$transclude tiddler=<<snippetTitle>> field=\"caption\" mode=\"inline\">\n\n<$view tiddler=<<snippetTitle>> field=\"title\" />\n\n</$transclude>\n\n</$button>\n\\end\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TextEditor/Snippet]!has[draft.of]sort[caption]]\" variable=\"snippetTitle\">\n\n<<toolbar-button-stamp-inner>>\n\n</$list>\n\n----\n\n<$button tag=\"a\">\n\n<$action-sendmessage\n\t$message=\"tm-new-tiddler\"\n\ttags=\"$:/tags/TextEditor/Snippet\"\n\tcaption={{$:/language/Buttons/Stamp/New/Title}}\n\ttext={{$:/language/Buttons/Stamp/New/Text}}\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<em>\n\n<$text text={{$:/language/Buttons/Stamp/Caption/New}}/>\n\n</em>\n\n</$button>\n"
        },
        "$:/core/ui/EditorToolbar/stamp": {
            "title": "$:/core/ui/EditorToolbar/stamp",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/stamp",
            "caption": "{{$:/language/Buttons/Stamp/Caption}}",
            "description": "{{$:/language/Buttons/Stamp/Hint}}",
            "condition": "[<targetTiddler>type[]] [<targetTiddler>get[type]prefix[text/]] [<targetTiddler>get[type]match[application/javascript]] [<targetTiddler>get[type]match[application/json]] [<targetTiddler>get[type]match[application/x-tiddler-dictionary]] [<targetTiddler>get[type]match[image/svg+xml]] +[first[]]",
            "shortcuts": "((stamp))",
            "dropdown": "$:/core/ui/EditorToolbar/stamp-dropdown",
            "text": ""
        },
        "$:/core/ui/EditorToolbar/strikethrough": {
            "title": "$:/core/ui/EditorToolbar/strikethrough",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/strikethrough",
            "caption": "{{$:/language/Buttons/Strikethrough/Caption}}",
            "description": "{{$:/language/Buttons/Strikethrough/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((strikethrough))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"~~\"\n\tsuffix=\"~~\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/subscript": {
            "title": "$:/core/ui/EditorToolbar/subscript",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/subscript",
            "caption": "{{$:/language/Buttons/Subscript/Caption}}",
            "description": "{{$:/language/Buttons/Subscript/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((subscript))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\",,\"\n\tsuffix=\",,\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/superscript": {
            "title": "$:/core/ui/EditorToolbar/superscript",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/superscript",
            "caption": "{{$:/language/Buttons/Superscript/Caption}}",
            "description": "{{$:/language/Buttons/Superscript/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((superscript))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"^^\"\n\tsuffix=\"^^\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/transcludify": {
            "title": "$:/core/ui/EditorToolbar/transcludify",
            "caption": "{{$:/language/Buttons/Transcludify/Caption}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "description": "{{$:/language/Buttons/Transcludify/Hint}}",
            "icon": "$:/core/images/transcludify",
            "list-before": "$:/core/ui/EditorToolbar/mono-block",
            "shortcuts": "((transcludify))",
            "tags": "$:/tags/EditorToolbar",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"{{\"\n\tsuffix=\"}}\"\n/>\n"
        },
        "$:/core/ui/EditorToolbar/underline": {
            "title": "$:/core/ui/EditorToolbar/underline",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/underline",
            "caption": "{{$:/language/Buttons/Underline/Caption}}",
            "description": "{{$:/language/Buttons/Underline/Hint}}",
            "condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
            "shortcuts": "((underline))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"__\"\n\tsuffix=\"__\"\n/>\n"
        },
        "$:/core/Filters/AllTags": {
            "title": "$:/core/Filters/AllTags",
            "tags": "$:/tags/Filter",
            "filter": "[tags[]!is[system]sort[title]]",
            "description": "{{$:/language/Filters/AllTags}}",
            "text": ""
        },
        "$:/core/Filters/AllTiddlers": {
            "title": "$:/core/Filters/AllTiddlers",
            "tags": "$:/tags/Filter",
            "filter": "[!is[system]sort[title]]",
            "description": "{{$:/language/Filters/AllTiddlers}}",
            "text": ""
        },
        "$:/core/Filters/Drafts": {
            "title": "$:/core/Filters/Drafts",
            "tags": "$:/tags/Filter",
            "filter": "[has[draft.of]sort[title]]",
            "description": "{{$:/language/Filters/Drafts}}",
            "text": ""
        },
        "$:/core/Filters/Missing": {
            "title": "$:/core/Filters/Missing",
            "tags": "$:/tags/Filter",
            "filter": "[all[missing]sort[title]]",
            "description": "{{$:/language/Filters/Missing}}",
            "text": ""
        },
        "$:/core/Filters/Orphans": {
            "title": "$:/core/Filters/Orphans",
            "tags": "$:/tags/Filter",
            "filter": "[all[orphans]sort[title]]",
            "description": "{{$:/language/Filters/Orphans}}",
            "text": ""
        },
        "$:/core/Filters/OverriddenShadowTiddlers": {
            "title": "$:/core/Filters/OverriddenShadowTiddlers",
            "tags": "$:/tags/Filter",
            "filter": "[is[shadow]]",
            "description": "{{$:/language/Filters/OverriddenShadowTiddlers}}",
            "text": ""
        },
        "$:/core/Filters/RecentSystemTiddlers": {
            "title": "$:/core/Filters/RecentSystemTiddlers",
            "tags": "$:/tags/Filter",
            "filter": "[has[modified]!sort[modified]limit[50]]",
            "description": "{{$:/language/Filters/RecentSystemTiddlers}}",
            "text": ""
        },
        "$:/core/Filters/RecentTiddlers": {
            "title": "$:/core/Filters/RecentTiddlers",
            "tags": "$:/tags/Filter",
            "filter": "[!is[system]has[modified]!sort[modified]limit[50]]",
            "description": "{{$:/language/Filters/RecentTiddlers}}",
            "text": ""
        },
        "$:/core/Filters/SessionTiddlers": {
            "title": "$:/core/Filters/SessionTiddlers",
            "tags": "$:/tags/Filter",
            "filter": "[haschanged[]]",
            "description": "{{$:/language/Filters/SessionTiddlers}}",
            "text": ""
        },
        "$:/core/Filters/ShadowTiddlers": {
            "title": "$:/core/Filters/ShadowTiddlers",
            "tags": "$:/tags/Filter",
            "filter": "[all[shadows]sort[title]]",
            "description": "{{$:/language/Filters/ShadowTiddlers}}",
            "text": ""
        },
        "$:/core/Filters/StoryList": {
            "title": "$:/core/Filters/StoryList",
            "tags": "$:/tags/Filter",
            "filter": "[list[$:/StoryList]] -$:/AdvancedSearch",
            "description": "{{$:/language/Filters/StoryList}}",
            "text": ""
        },
        "$:/core/Filters/SystemTags": {
            "title": "$:/core/Filters/SystemTags",
            "tags": "$:/tags/Filter",
            "filter": "[all[shadows+tiddlers]tags[]is[system]sort[title]]",
            "description": "{{$:/language/Filters/SystemTags}}",
            "text": ""
        },
        "$:/core/Filters/SystemTiddlers": {
            "title": "$:/core/Filters/SystemTiddlers",
            "tags": "$:/tags/Filter",
            "filter": "[is[system]sort[title]]",
            "description": "{{$:/language/Filters/SystemTiddlers}}",
            "text": ""
        },
        "$:/core/Filters/TypedTiddlers": {
            "title": "$:/core/Filters/TypedTiddlers",
            "tags": "$:/tags/Filter",
            "filter": "[!is[system]has[type]each[type]sort[type]] -[type[text/vnd.tiddlywiki]]",
            "description": "{{$:/language/Filters/TypedTiddlers}}",
            "text": ""
        },
        "$:/core/ui/ImportListing": {
            "title": "$:/core/ui/ImportListing",
            "text": "\\define lingo-base() $:/language/Import/\n\n\\define messageField() message-$(payloadTiddler)$\n\n\\define payloadTitleFilter() [<currentTiddler>get<renameField>minlength[1]else<payloadTiddler>]\n\n\\define overWriteWarning()\n<$list filter=\"[<currentTiddler>!has<suppressedField>]\">\n<$text text={{{[subfilter<payloadTitleFilter>!is[tiddler]then[]] ~[<lingo-base>addsuffix[Listing/Rename/OverwriteWarning]get[text]]}}}/>\n</$list>\n\\end\n\n\\define selectionField() selection-$(payloadTiddler)$\n\n\\define renameField() rename-$(payloadTiddler)$\n\n\\define suppressedField() suppressed-$(payloadTiddler)$\n\n\\define newImportTitleTiddler() $:/temp/NewImportTitle-$(payloadTiddler)$\n\n\\define previewPopupState() $(currentTiddler)$!!popup-$(payloadTiddler)$\n\n\\define renameFieldState() $(currentTiddler)$!!state-rename-$(payloadTiddler)$\n\n\\define select-all-actions()\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" variable=\"payloadTiddler\">\n<$action-setfield $field={{{ [<payloadTiddler>addprefix[selection-]] }}} $value={{$:/state/import/select-all}}/>\n</$list>\n\\end\n\n<table class=\"tc-import-table\">\n<tbody>\n<tr>\n<th align=\"left\">\n<$checkbox tiddler=\"$:/state/import/select-all\" field=\"text\" checked=\"checked\" unchecked=\"unchecked\" default=\"checked\" actions=<<select-all-actions>>>\n<<lingo Listing/Select/Caption>>\n</$checkbox>\n</th>\n<th>\n<<lingo Listing/Title/Caption>>\n</th>\n<th>\n<<lingo Listing/Status/Caption>>\n</th>\n</tr>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" variable=\"payloadTiddler\">\n<tr class={{{[<currentTiddler>has<suppressedField>then[tc-row-disabled]] ~[subfilter<payloadTitleFilter>is[tiddler]then[tc-row-warning]] }}}>\n<td>\n<$checkbox field=<<selectionField>> checked=\"checked\" unchecked=\"unchecked\" default=\"checked\" disabled={{{[<currentTiddler>has<suppressedField>then[yes]else[no]]}}}/>\n</td>\n<td>\n<$reveal type=\"nomatch\" state=<<renameFieldState>> text=\"yes\" tag=\"div\">\n<$reveal type=\"nomatch\" state=<<previewPopupState>> text=\"yes\" tag=\"div\" class=\"tc-flex\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown tc-flex-grow-1 tc-word-break\" set=<<previewPopupState>> setTo=\"yes\" disabled={{{[<currentTiddler>has<suppressedField>then[yes]else[no]]}}}>\n<span class=\"tc-small-gap-right\">{{$:/core/images/right-arrow}}</span><$text text={{{[subfilter<payloadTitleFilter>]}}}/>\n</$button>\n<$list filter=\"[<currentTiddler>!has<suppressedField>]\"><$button class=\"tc-btn-invisible\" set=<<renameFieldState>> setTo=\"yes\" tooltip={{{[<lingo-base>addsuffix[Listing/Rename/Tooltip]get[text]]}}}>{{$:/core/images/edit-button}}</$button></$list>\n</$reveal>\n<$reveal type=\"match\" state=<<previewPopupState>> text=\"yes\" tag=\"div\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<previewPopupState>> setTo=\"no\">\n<span class=\"tc-small-gap-right\">{{$:/core/images/down-arrow}}</span><$text text={{{[subfilter<payloadTitleFilter>]}}}/>\n</$button>\n</$reveal>\n</$reveal>\n<$reveal type=\"match\" state=<<renameFieldState>> text=\"yes\" tag=\"div\">\n<$text text={{{[<lingo-base>addsuffix[Listing/Rename/Prompt]get[text]]}}}/>\n</$reveal>\n</td>\n<td>\n<$view field=<<messageField>>/>\n<<overWriteWarning>>\n</td>\n</tr>\n<$reveal type=\"match\" state=<<renameFieldState>> text=\"yes\" tag=\"tr\">\n<td colspan=\"3\">\n<div class=\"tc-flex\">\n<$edit-text tiddler=<<newImportTitleTiddler>>  default={{{[subfilter<payloadTitleFilter>]}}} tag=\"input\" class=\"tc-import-rename tc-flex-grow-1\"/><span class=\"tc-small-gap-left\"><$button  class=\"tc-btn-invisible\" set=<<renameFieldState>> setTo=\"no\" tooltip={{{[<lingo-base>addsuffix[Listing/Rename/CancelRename]get[text]]}}}>{{$:/core/images/close-button}}<$action-deletetiddler $tiddler=<<newImportTitleTiddler>>/></$button><span class=\"tc-small-gap-right\"/></span><$button  class=\"tc-btn-invisible\" set=<<renameFieldState>> setTo=\"no\" tooltip={{{[<lingo-base>addsuffix[Listing/Rename/ConfirmRename]get[text]]}}}>{{$:/core/images/done-button}}<$action-setfield $field=<<renameField>> $value={{{[<newImportTitleTiddler>get[text]minlength[1]else<payloadTiddler>]}}} /><$action-deletetiddler $tiddler=<<newImportTitleTiddler>>/></$button>\n</div>\n</td>\n</$reveal>\n<tr>\n<td colspan=\"3\">\n<$reveal type=\"match\" text=\"yes\" state=<<previewPopupState>> tag=\"div\">\n<$list filter=\"[{$:/state/importpreviewtype}has[text]]\" variable=\"listItem\" emptyMessage={{$:/core/ui/ImportPreviews/Text}}>\n<$transclude tiddler={{$:/state/importpreviewtype}}/>\n</$list>\n</$reveal>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
        },
        "$:/core/ui/ImportPreviews/Diff": {
            "title": "$:/core/ui/ImportPreviews/Diff",
            "tags": "$:/tags/ImportPreview",
            "caption": "{{$:/language/Import/Listing/Preview/Diff}}",
            "text": "<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle=<<payloadTiddler>> destTiddlerTitle=<<currentTiddler>> destSubTiddlerTitle=<<payloadTiddler>>/>\n"
        },
        "$:/core/ui/ImportPreviews/DiffFields": {
            "title": "$:/core/ui/ImportPreviews/DiffFields",
            "tags": "$:/tags/ImportPreview",
            "caption": "{{$:/language/Import/Listing/Preview/DiffFields}}",
            "text": "<$macrocall $name=\"compareTiddlers\" sourceTiddlerTitle=<<payloadTiddler>> destTiddlerTitle=<<currentTiddler>> destSubTiddlerTitle=<<payloadTiddler>> exclude=\"text\"/>\n"
        },
        "$:/core/ui/ImportPreviews/Fields": {
            "title": "$:/core/ui/ImportPreviews/Fields",
            "tags": "$:/tags/ImportPreview",
            "caption": "{{$:/language/Import/Listing/Preview/Fields}}",
            "text": "<table class=\"tc-view-field-table\">\n<tbody>\n<$list filter=\"[<payloadTiddler>subtiddlerfields<currentTiddler>sort[]] -text\" variable=\"fieldName\">\n<tr class=\"tc-view-field\">\n<td class=\"tc-view-field-name\">\n<$text text=<<fieldName>>/>\n</td>\n<td class=\"tc-view-field-value\">\n<$view field=<<fieldName>> tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>>/>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
        },
        "$:/core/ui/ImportPreviews/Text": {
            "title": "$:/core/ui/ImportPreviews/Text",
            "tags": "$:/tags/ImportPreview",
            "caption": "{{$:/language/Import/Listing/Preview/Text}}",
            "text": "<$transclude tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>> mode=\"block\"/>\n"
        },
        "$:/core/ui/ImportPreviews/TextRaw": {
            "title": "$:/core/ui/ImportPreviews/TextRaw",
            "tags": "$:/tags/ImportPreview",
            "caption": "{{$:/language/Import/Listing/Preview/TextRaw}}",
            "text": "<pre><code><$view tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>> /></code></pre>"
        },
        "$:/core/ui/KeyboardShortcuts/advanced-search": {
            "title": "$:/core/ui/KeyboardShortcuts/advanced-search",
            "tags": "$:/tags/KeyboardShortcut",
            "key": "((advanced-search))",
            "text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\">\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=\"\"\"[data-tiddler-title=\"$:/AdvancedSearch\"] .tc-search input\"\"\" preventScroll=\"true\"/>\n</$navigator>\n"
        },
        "$:/core/ui/KeyboardShortcuts/change-sidebar-layout": {
            "title": "$:/core/ui/KeyboardShortcuts/change-sidebar-layout",
            "tags": "$:/tags/KeyboardShortcut",
            "key": "((change-sidebar-layout))",
            "text": "<$list filter=\"[{$:/themes/tiddlywiki/vanilla/options/sidebarlayout}match[fixed-fluid]]\" \nemptyMessage=\"\"\"<$action-setfield $tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\" text=\"fixed-fluid\"/>\"\"\">\n<$action-setfield $tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\" text=\"fluid-fixed\"/>\n</$list>\n"
        },
        "$:/core/ui/KeyboardShortcuts/new-image": {
            "title": "$:/core/ui/KeyboardShortcuts/new-image",
            "tags": "$:/tags/KeyboardShortcut",
            "key": "((new-image))",
            "text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-image}}\n</$navigator>\n"
        },
        "$:/core/ui/KeyboardShortcuts/new-journal": {
            "title": "$:/core/ui/KeyboardShortcuts/new-journal",
            "tags": "$:/tags/KeyboardShortcut",
            "key": "((new-journal))",
            "text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-journal}}\n</$navigator>\n"
        },
        "$:/core/ui/KeyboardShortcuts/new-tiddler": {
            "title": "$:/core/ui/KeyboardShortcuts/new-tiddler",
            "tags": "$:/tags/KeyboardShortcut",
            "key": "((new-tiddler))",
            "text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-tiddler}}\n</$navigator>\n"
        },
        "$:/core/ui/KeyboardShortcuts/save-wiki": {
            "title": "$:/core/ui/KeyboardShortcuts/save-wiki",
            "tags": "$:/tags/KeyboardShortcut",
            "key": "((save-wiki))",
            "text": "<$wikify name=\"site-title\" text={{$:/config/SaveWikiButton/Filename}}>\n<$action-sendmessage $message=\"tm-save-wiki\" $param={{$:/config/SaveWikiButton/Template}} filename=<<site-title>>/>\n</$wikify>\n"
        },
        "$:/core/ui/KeyboardShortcuts/sidebar-search": {
            "title": "$:/core/ui/KeyboardShortcuts/sidebar-search",
            "tags": "$:/tags/KeyboardShortcut",
            "key": "((sidebar-search))",
            "text": "<$action-sendmessage $message=\"tm-focus-selector\" $param=\".tc-search input\"/>\n"
        },
        "$:/core/ui/KeyboardShortcuts/switcher": {
            "title": "$:/core/ui/KeyboardShortcuts/switcher",
            "tags": "$:/tags/KeyboardShortcut",
            "key": "((layout-switcher))",
            "text": "<$action-sendmessage $message=\"tm-show-switcher\" switch=\"layout\"/>"
        },
        "$:/core/ui/KeyboardShortcuts/toggle-sidebar": {
            "title": "$:/core/ui/KeyboardShortcuts/toggle-sidebar",
            "tags": "$:/tags/KeyboardShortcut",
            "key": "((toggle-sidebar))",
            "text": "<$list filter=\"[[$:/state/sidebar]is[missing]] [{$:/state/sidebar}removeprefix[yes]]\" emptyMessage=\"\"\"\n<$action-setfield $tiddler=\"$:/state/sidebar\" text=\"yes\"/>\n\"\"\">\n<$action-setfield $tiddler=\"$:/state/sidebar\" text=\"no\"/>\n</$list>\n"
        },
        "$:/snippets/LayoutSwitcher": {
            "title": "$:/snippets/LayoutSwitcher",
            "tags": "$:/tags/ControlPanel/Appearance",
            "caption": "{{$:/language/ControlPanel/LayoutSwitcher/Caption}}",
            "text": "<$linkcatcher to=\"$:/layout\">\n<div class=\"tc-chooser\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/Layout]] [[$:/core/ui/PageTemplate]] +[!is[draft]sort[name]]\">\n<$list filter=\"[{$:/layout}!has[text]]\" variable=\"ignore\" emptyMessage=\"\"\"\n<$set name=\"cls\" filter=\"[all[current]field:title{$:/layout}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>><$link to={{!!title}}>''<$transclude field=\"name\"/>'' - <$transclude field=\"description\"/></$link></div>\n</$set>\n\"\"\">\n<$set name=\"cls\" filter=\"[all[current]field:title[$:/core/ui/PageTemplate]]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>><$link to={{!!title}}>''<$transclude field=\"name\"/>'' - <$transclude field=\"description\"/></$link></div>\n</$set>\n</$list>\n</$list>\n</div>\n</$linkcatcher>\n"
        },
        "$:/core/ui/ListItemTemplate": {
            "title": "$:/core/ui/ListItemTemplate",
            "text": "<div class=\"tc-menu-list-item\">\n<$link />\n</div>"
        },
        "$:/Manager/ItemMain/Fields": {
            "title": "$:/Manager/ItemMain/Fields",
            "tags": "$:/tags/Manager/ItemMain",
            "caption": "{{$:/language/Manager/Item/Fields}}",
            "text": "<table>\n<tbody>\n<$list filter=\"[all[current]fields[]sort[title]] -text\" template=\"$:/core/ui/TiddlerFieldTemplate\" variable=\"listItem\"/>\n</tbody>\n</table>\n"
        },
        "$:/Manager/ItemMain/RawText": {
            "title": "$:/Manager/ItemMain/RawText",
            "tags": "$:/tags/Manager/ItemMain",
            "caption": "{{$:/language/Manager/Item/RawText}}",
            "text": "<pre><code><$view/></code></pre>\n"
        },
        "$:/Manager/ItemMain/WikifiedText": {
            "title": "$:/Manager/ItemMain/WikifiedText",
            "tags": "$:/tags/Manager/ItemMain",
            "caption": "{{$:/language/Manager/Item/WikifiedText}}",
            "text": "<$transclude mode=\"block\"/>\n"
        },
        "$:/Manager/ItemSidebar/Colour": {
            "title": "$:/Manager/ItemSidebar/Colour",
            "tags": "$:/tags/Manager/ItemSidebar",
            "caption": "{{$:/language/Manager/Item/Colour}}",
            "text": "\\define swatch-styles()\nheight: 1em;\nbackground-color: $(colour)$\n\\end\n\n<$vars colour={{!!color}}>\n<p style=<<swatch-styles>>/>\n</$vars>\n<p>\n<$edit-text field=\"color\" tag=\"input\" type=\"color\"/> / <$edit-text field=\"color\" tag=\"input\" type=\"text\" size=\"9\"/>\n</p>\n"
        },
        "$:/Manager/ItemSidebar/Icon": {
            "title": "$:/Manager/ItemSidebar/Icon",
            "tags": "$:/tags/Manager/ItemSidebar",
            "caption": "{{$:/language/Manager/Item/Icon}}",
            "text": "<p>\n<div class=\"tc-manager-icon-editor\">\n<$button popup=<<qualify \"$:/state/popup/image-picker\">> class=\"tc-btn-invisible\">\n<$transclude tiddler={{!!icon}}>\n{{$:/language/Manager/Item/Icon/None}}\n</$transclude>\n</$button>\n<div class=\"tc-block-dropdown-wrapper\" style=\"position: static;\">\n<$reveal state=<<qualify \"$:/state/popup/image-picker\">> type=\"nomatch\" text=\"\" default=\"\" tag=\"div\" class=\"tc-popup\">\n<div class=\"tc-block-dropdown tc-popup-keep\" style=\"width: 80%; left: 10%; right: 10%; padding: 0.5em;\">\n<$macrocall $name=\"image-picker-include-tagged-images\" actions=\"\"\"\n<$action-setfield $field=\"icon\" $value=<<imageTitle>>/>\n<$action-deletetiddler $tiddler=<<qualify \"$:/state/popup/image-picker\">>/>\n\"\"\"/>\n</div>\n</$reveal>\n</div>\n</div>\n</p>\n"
        },
        "$:/Manager/ItemSidebar/Tags": {
            "title": "$:/Manager/ItemSidebar/Tags",
            "tags": "$:/tags/Manager/ItemSidebar",
            "caption": "{{$:/language/Manager/Item/Tags}}",
            "text": "\\whitespace trim\n\\define tag-checkbox-actions()\n<$action-listops\n\t$tiddler=\"$:/config/Manager/RecentTags\"\n\t$subfilter=\"[<tag>] [list[$:/config/Manager/RecentTags]] +[limit[12]]\"\n/>\n\\end\n\n\\define tag-picker-actions()\n<<tag-checkbox-actions>>\n\\end\n\n<p>\n<$list filter=\"[all[current]tags[]] [list[$:/config/Manager/RecentTags]] +[sort[title]] \" variable=\"tag\" storyview=\"pop\">\n<div>\n<$checkbox tiddler=<<currentTiddler>> tag=<<tag>> actions=<<tag-checkbox-actions>>>\n<$macrocall $name=\"tag-pill\" tag=<<tag>>/>\n</$checkbox>\n</div>\n</$list>\n</p>\n<p>\n<$fieldmangler>\n<$macrocall $name=\"tag-picker\" actions=<<tag-picker-actions>>/>\n</$fieldmangler>\n</p>\n"
        },
        "$:/Manager/ItemSidebar/Tools": {
            "title": "$:/Manager/ItemSidebar/Tools",
            "tags": "$:/tags/Manager/ItemSidebar",
            "caption": "{{$:/language/Manager/Item/Tools}}",
            "text": "<p>\n<$button to=<<currentTiddler>>>{{$:/core/images/link}} open</$button>\n</p>\n<p>\n<$button message=\"tm-edit-tiddler\" param=<<currentTiddler>>>{{$:/core/images/edit-button}} edit</$button>\n</p>\n"
        },
        "$:/Manager": {
            "title": "$:/Manager",
            "icon": "$:/core/images/list",
            "color": "#bbb",
            "text": "\\define lingo-base() $:/language/Manager/\n\n\\define list-item-content-item()\n<div class=\"tc-manager-list-item-content-item\">\n\t<$vars state-title=\"\"\"$:/state/popup/manager/item/$(listItem)$\"\"\">\n\t\t<$reveal state=<<state-title>> type=\"match\" text=\"show\" default=\"show\" tag=\"div\">\n\t\t\t<$button set=<<state-title>> setTo=\"hide\" class=\"tc-btn-invisible tc-manager-list-item-content-item-heading\">\n\t\t\t\t{{$:/core/images/down-arrow}} <$transclude tiddler=<<listItem>> field=\"caption\"/>\n\t\t\t</$button>\n\t\t</$reveal>\n\t\t<$reveal state=<<state-title>> type=\"nomatch\" text=\"show\" default=\"show\" tag=\"div\">\n\t\t\t<$button set=<<state-title>> setTo=\"show\" class=\"tc-btn-invisible tc-manager-list-item-content-item-heading\">\n\t\t\t\t{{$:/core/images/right-arrow}} <$transclude tiddler=<<listItem>> field=\"caption\"/>\n\t\t\t</$button>\n\t\t</$reveal>\n\t\t<$reveal state=<<state-title>> type=\"match\" text=\"show\" default=\"show\" tag=\"div\" class=\"tc-manager-list-item-content-item-body\">\n\t\t\t<$transclude tiddler=<<listItem>>/>\n\t\t</$reveal>\n\t</$vars>\n</div>\n\\end\n\n<div class=\"tc-manager-wrapper\">\n\t<div class=\"tc-manager-controls\">\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Show/Prompt>> <$select tiddler=\"$:/config/Manager/Show\" default=\"tiddlers\">\n\t\t\t\t<option value=\"tiddlers\"><<lingo Controls/Show/Option/Tiddlers>></option>\n\t\t\t\t<option value=\"tags\"><<lingo Controls/Show/Option/Tags>></option>\n\t\t\t</$select>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Search/Prompt>> <$edit-text tiddler=\"$:/config/Manager/Filter\" tag=\"input\" default=\"\" placeholder={{$:/language/Manager/Controls/Search/Placeholder}}/>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/FilterByTag/Prompt>> <$select tiddler=\"$:/config/Manager/Tag\" default=\"\">\n\t\t\t\t<option value=\"\"><<lingo Controls/FilterByTag/None>></option>\n\t\t\t\t<$list filter=\"[!is{$:/config/Manager/System}tags[]!is[system]sort[title]]\" variable=\"tag\">\n\t\t\t\t\t<option value=<<tag>>><$text text=<<tag>>/></option>\n\t\t\t\t</$list>\n\t\t\t</$select>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Sort/Prompt>> <$select tiddler=\"$:/config/Manager/Sort\" default=\"title\">\n\t\t\t\t<optgroup label=\"Common\">\n\t\t\t\t\t<$list filter=\"title modified modifier created creator created\" variable=\"field\">\n\t\t\t\t\t\t<option value=<<field>>><$text text=<<field>>/></option>\n\t\t\t\t\t</$list>\n\t\t\t\t</optgroup>\n\t\t\t\t<optgroup label=\"All\">\n\t\t\t\t\t<$list filter=\"[all{$:/config/Manager/Show}!is{$:/config/Manager/System}fields[]sort[title]] -title -modified -modifier -created -creator -created\" variable=\"field\">\n\t\t\t\t\t\t<option value=<<field>>><$text text=<<field>>/></option>\n\t\t\t\t\t</$list>\n\t\t\t\t</optgroup>\n\t\t\t</$select>\n\t\t\t<$checkbox tiddler=\"$:/config/Manager/Order\" field=\"text\" checked=\"reverse\" unchecked=\"forward\" default=\"forward\">\n\t\t\t\t<<lingo Controls/Order/Prompt>>\n\t\t\t</$checkbox>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<$checkbox tiddler=\"$:/config/Manager/System\" field=\"text\" checked=\"\" unchecked=\"system\" default=\"system\">\n\t\t\t\t{{$:/language/SystemTiddlers/Include/Prompt}}\n\t\t\t</$checkbox>\n\t\t</div>\n\t</div>\n\t<div class=\"tc-manager-list\">\n\t\t<$list filter=\"[all{$:/config/Manager/Show}!is{$:/config/Manager/System}search{$:/config/Manager/Filter}tag:strict{$:/config/Manager/Tag}sort{$:/config/Manager/Sort}order{$:/config/Manager/Order}]\">\n\t\t\t<$vars transclusion=<<currentTiddler>>>\n\t\t\t\t<div style=\"tc-manager-list-item\">\n\t\t\t\t\t<$button popup=<<qualify \"$:/state/manager/popup\">> class=\"tc-btn-invisible tc-manager-list-item-heading\" selectedClass=\"tc-manager-list-item-heading-selected\">\n\t\t\t\t\t\t<$text text=<<currentTiddler>>/>\n\t\t\t\t\t</$button>\n\t\t\t\t\t<$reveal state=<<qualify \"$:/state/manager/popup\">> type=\"nomatch\" text=\"\" default=\"\" tag=\"div\" class=\"tc-manager-list-item-content tc-popup-handle\">\n\t\t\t\t\t\t<div class=\"tc-manager-list-item-content-tiddler\">\n\t\t\t\t\t\t\t<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Manager/ItemMain]!has[draft.of]]\" variable=\"listItem\">\n\t\t\t\t\t\t\t\t<<list-item-content-item>>\n\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t<div class=\"tc-manager-list-item-content-sidebar\">\n\t\t\t\t\t\t\t<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Manager/ItemSidebar]!has[draft.of]]\" variable=\"listItem\">\n\t\t\t\t\t\t\t\t<<list-item-content-item>>\n\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t</$reveal>\n\t\t\t\t</div>\n\t\t\t</$vars>\n\t\t</$list>\n\t</div>\n</div>\n"
        },
        "$:/core/ui/MissingTemplate": {
            "title": "$:/core/ui/MissingTemplate",
            "text": "<div class=\"tc-tiddler-missing\">\n<$button popup=<<qualify \"$:/state/popup/missing\">> class=\"tc-btn-invisible tc-missing-tiddler-label\">\n<$view field=\"title\" format=\"text\" />\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/missing\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n<hr>\n<$list filter=\"[all[current]backlinks[]sort[title]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$reveal>\n</div>\n"
        },
        "$:/core/ui/MoreSideBar/All": {
            "title": "$:/core/ui/MoreSideBar/All",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/All/Caption}}",
            "text": "<$list filter={{$:/core/Filters/AllTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
        },
        "$:/core/ui/MoreSideBar/Drafts": {
            "title": "$:/core/ui/MoreSideBar/Drafts",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/Drafts/Caption}}",
            "text": "<$list filter={{$:/core/Filters/Drafts!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
        },
        "$:/core/ui/MoreSideBar/Explorer": {
            "title": "$:/core/ui/MoreSideBar/Explorer",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/Explorer/Caption}}",
            "text": "<<tree \"$:/\">>\n"
        },
        "$:/core/ui/MoreSideBar/Missing": {
            "title": "$:/core/ui/MoreSideBar/Missing",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/Missing/Caption}}",
            "text": "<$list filter={{$:/core/Filters/Missing!!filter}} template=\"$:/core/ui/MissingTemplate\"/>\n"
        },
        "$:/core/ui/MoreSideBar/Orphans": {
            "title": "$:/core/ui/MoreSideBar/Orphans",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/Orphans/Caption}}",
            "text": "<$list filter={{$:/core/Filters/Orphans!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
        },
        "$:/core/ui/MoreSideBar/Plugins": {
            "title": "$:/core/ui/MoreSideBar/Plugins",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/ControlPanel/Plugins/Caption}}",
            "text": "\n{{$:/language/ControlPanel/Plugins/Installed/Hint}}\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar/Plugins]!has[draft.of]]\" default=\"$:/core/ui/MoreSideBar/Plugins/Plugins\" explicitState=\"$:/state/tab-1163638994\"/>\n"
        },
        "$:/core/ui/MoreSideBar/Recent": {
            "title": "$:/core/ui/MoreSideBar/Recent",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/Recent/Caption}}",
            "text": "<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n"
        },
        "$:/core/ui/MoreSideBar/Shadows": {
            "title": "$:/core/ui/MoreSideBar/Shadows",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/Shadows/Caption}}",
            "text": "<$list filter={{$:/core/Filters/ShadowTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
        },
        "$:/core/ui/MoreSideBar/System": {
            "title": "$:/core/ui/MoreSideBar/System",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/System/Caption}}",
            "text": "<$list filter={{$:/core/Filters/SystemTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
        },
        "$:/core/ui/MoreSideBar/Tags": {
            "title": "$:/core/ui/MoreSideBar/Tags",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/Tags/Caption}}",
            "text": "<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n{{$:/core/ui/Buttons/tag-manager}}\n\n</$set>\n\n</$set>\n\n</$set>\n\n<$list filter={{$:/core/Filters/AllTags!!filter}}>\n\n<$transclude tiddler=\"$:/core/ui/TagTemplate\"/>\n\n</$list>\n\n<hr class=\"tc-untagged-separator\">\n\n{{$:/core/ui/UntaggedTemplate}}\n"
        },
        "$:/core/ui/MoreSideBar/Types": {
            "title": "$:/core/ui/MoreSideBar/Types",
            "tags": "$:/tags/MoreSideBar",
            "caption": "{{$:/language/SideBar/Types/Caption}}",
            "text": "<$list filter={{$:/core/Filters/TypedTiddlers!!filter}}>\n<div class=\"tc-menu-list-item\">\n<$view field=\"type\"/>\n<$list filter=\"[type{!!type}!is[system]sort[title]]\">\n<div class=\"tc-menu-list-subitem\">\n<$link to={{!!title}}><$view field=\"title\"/></$link>\n</div>\n</$list>\n</div>\n</$list>\n"
        },
        "$:/core/ui/MoreSideBar/Plugins/Languages": {
            "title": "$:/core/ui/MoreSideBar/Plugins/Languages",
            "tags": "$:/tags/MoreSideBar/Plugins",
            "caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}}",
            "text": "<$list filter=\"[!has[draft.of]plugin-type[language]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}/>\n"
        },
        "$:/core/ui/MoreSideBar/Plugins/Plugins": {
            "title": "$:/core/ui/MoreSideBar/Plugins/Plugins",
            "tags": "$:/tags/MoreSideBar/Plugins",
            "caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}}",
            "text": "<$list filter=\"[!has[draft.of]plugin-type[plugin]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}>>/>\n"
        },
        "$:/core/ui/MoreSideBar/Plugins/Theme": {
            "title": "$:/core/ui/MoreSideBar/Plugins/Theme",
            "tags": "$:/tags/MoreSideBar/Plugins",
            "caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}}",
            "text": "<$list filter=\"[!has[draft.of]plugin-type[theme]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}/>\n"
        },
        "$:/core/ui/Buttons/advanced-search": {
            "title": "$:/core/ui/Buttons/advanced-search",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/advanced-search-button}} {{$:/language/Buttons/AdvancedSearch/Caption}}",
            "description": "{{$:/language/Buttons/AdvancedSearch/Hint}}",
            "text": "\\whitespace trim\n\\define advanced-search-button(class)\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/advanced-search-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/AdvancedSearch/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/AdvancedSearch]]\" emptyMessage=<<advanced-search-button>>>\n<<advanced-search-button \"tc-selected\">>\n</$list>\n"
        },
        "$:/core/ui/Buttons/close-all": {
            "title": "$:/core/ui/Buttons/close-all",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/close-all-button}} {{$:/language/Buttons/CloseAll/Caption}}",
            "description": "{{$:/language/Buttons/CloseAll/Hint}}",
            "text": "<$button message=\"tm-close-all-tiddlers\" tooltip={{$:/language/Buttons/CloseAll/Hint}} aria-label={{$:/language/Buttons/CloseAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/CloseAll/Caption}}/></span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/control-panel": {
            "title": "$:/core/ui/Buttons/control-panel",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/options-button}} {{$:/language/Buttons/ControlPanel/Caption}}",
            "description": "{{$:/language/Buttons/ControlPanel/Hint}}",
            "text": "\\whitespace trim\n\\define control-panel-button(class)\n<$button to=\"$:/ControlPanel\" tooltip={{$:/language/Buttons/ControlPanel/Hint}} aria-label={{$:/language/Buttons/ControlPanel/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/options-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/ControlPanel/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/ControlPanel]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
        },
        "$:/core/ui/Buttons/encryption": {
            "title": "$:/core/ui/Buttons/encryption",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/locked-padlock}} {{$:/language/Buttons/Encryption/Caption}}",
            "description": "{{$:/language/Buttons/Encryption/Hint}}",
            "text": "\\whitespace trim\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\n<$button message=\"tm-clear-password\" tooltip={{$:/language/Buttons/Encryption/ClearPassword/Hint}} aria-label={{$:/language/Buttons/Encryption/ClearPassword/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/locked-padlock}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Encryption/ClearPassword/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n<$button message=\"tm-set-password\" tooltip={{$:/language/Buttons/Encryption/SetPassword/Hint}} aria-label={{$:/language/Buttons/Encryption/SetPassword/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/unlocked-padlock}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Encryption/SetPassword/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n"
        },
        "$:/core/ui/Buttons/export-page": {
            "title": "$:/core/ui/Buttons/export-page",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/export-button}} {{$:/language/Buttons/ExportPage/Caption}}",
            "description": "{{$:/language/Buttons/ExportPage/Hint}}",
            "text": "<$macrocall $name=\"exportButton\" exportFilter=\"[!is[system]sort[title]]\" lingoBase=\"$:/language/Buttons/ExportPage/\"/>"
        },
        "$:/core/ui/Buttons/fold-all": {
            "title": "$:/core/ui/Buttons/fold-all",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/fold-all-button}} {{$:/language/Buttons/FoldAll/Caption}}",
            "description": "{{$:/language/Buttons/FoldAll/Hint}}",
            "text": "<$button tooltip={{$:/language/Buttons/FoldAll/Hint}} aria-label={{$:/language/Buttons/FoldAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-all-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/FoldAll/Caption}}/></span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/full-screen": {
            "title": "$:/core/ui/Buttons/full-screen",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/full-screen-button}} {{$:/language/Buttons/FullScreen/Caption}}",
            "description": "{{$:/language/Buttons/FullScreen/Hint}}",
            "text": "<$button message=\"tm-full-screen\" tooltip={{$:/language/Buttons/FullScreen/Hint}} aria-label={{$:/language/Buttons/FullScreen/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/full-screen-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/FullScreen/Caption}}/></span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/home": {
            "title": "$:/core/ui/Buttons/home",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/home-button}} {{$:/language/Buttons/Home/Caption}}",
            "description": "{{$:/language/Buttons/Home/Hint}}",
            "text": "<$button message=\"tm-home\" tooltip={{$:/language/Buttons/Home/Hint}} aria-label={{$:/language/Buttons/Home/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/home-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Home/Caption}}/></span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/import": {
            "title": "$:/core/ui/Buttons/import",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/import-button}} {{$:/language/Buttons/Import/Caption}}",
            "description": "{{$:/language/Buttons/Import/Hint}}",
            "text": "<div class=\"tc-file-input-wrapper\">\n<$button tooltip={{$:/language/Buttons/Import/Hint}} aria-label={{$:/language/Buttons/Import/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/import-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Import/Caption}}/></span>\n</$list>\n</$button>\n<$browse tooltip={{$:/language/Buttons/Import/Hint}}/>\n</div>"
        },
        "$:/core/ui/Buttons/language": {
            "title": "$:/core/ui/Buttons/language",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/globe}} {{$:/language/Buttons/Language/Caption}}",
            "description": "{{$:/language/Buttons/Language/Hint}}",
            "text": "\\whitespace trim\n\\define flag-title()\n$(languagePluginTitle)$/icon\n\\end\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/language\">> tooltip={{$:/language/Buttons/Language/Hint}} aria-label={{$:/language/Buttons/Language/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n<span class=\"tc-image-button\">\n<$set name=\"languagePluginTitle\" value={{$:/language}}>\n<$image source=<<flag-title>>/>\n</$set>\n</span>\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Language/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/language\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n{{$:/snippets/languageswitcher}}\n</div>\n</$reveal>\n"
        },
        "$:/core/ui/Buttons/manager": {
            "title": "$:/core/ui/Buttons/manager",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/list}} {{$:/language/Buttons/Manager/Caption}}",
            "description": "{{$:/language/Buttons/Manager/Hint}}",
            "text": "\\whitespace trim\n\\define manager-button(class)\n<$button to=\"$:/Manager\" tooltip={{$:/language/Buttons/Manager/Hint}} aria-label={{$:/language/Buttons/Manager/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/list}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Manager/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/Manager]]\" emptyMessage=<<manager-button>>>\n<<manager-button \"tc-selected\">>\n</$list>\n"
        },
        "$:/core/ui/Buttons/more-page-actions": {
            "title": "$:/core/ui/Buttons/more-page-actions",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}",
            "description": "{{$:/language/Buttons/More/Hint}}",
            "text": "\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/More/Caption}}/></span>\n</$list>\n</$button><$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"below\" animate=\"yes\">\n\n<div class=\"tc-drop-down\">\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]] -[[$:/core/ui/Buttons/more-page-actions]]\" variable=\"listItem\">\n\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$set>\n\n</$reveal>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</div>\n\n</$reveal>"
        },
        "$:/core/ui/Buttons/new-image": {
            "title": "$:/core/ui/Buttons/new-image",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/new-image-button}} {{$:/language/Buttons/NewImage/Caption}}",
            "description": "{{$:/language/Buttons/NewImage/Hint}}",
            "text": "\\whitespace trim\n<$button tooltip={{$:/language/Buttons/NewImage/Hint}} aria-label={{$:/language/Buttons/NewImage/Caption}} class=<<tv-config-toolbar-class>> actions={{$:/core/ui/Actions/new-image}}>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-image-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewImage/Caption}}/></span>\n</$list>\n</$button>\n"
        },
        "$:/core/ui/Buttons/new-journal": {
            "title": "$:/core/ui/Buttons/new-journal",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournal/Caption}}",
            "description": "{{$:/language/Buttons/NewJournal/Hint}}",
            "text": "\\whitespace trim\n\\define journalButton()\n<$button tooltip={{$:/language/Buttons/NewJournal/Hint}} aria-label={{$:/language/Buttons/NewJournal/Caption}} class=<<tv-config-toolbar-class>> actions={{$:/core/ui/Actions/new-journal}}>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-journal-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewJournal/Caption}}/></span>\n</$list>\n</$button>\n\\end\n<<journalButton>>\n"
        },
        "$:/core/ui/Buttons/new-tiddler": {
            "title": "$:/core/ui/Buttons/new-tiddler",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/new-button}} {{$:/language/Buttons/NewTiddler/Caption}}",
            "description": "{{$:/language/Buttons/NewTiddler/Hint}}",
            "text": "\\whitespace trim\n<$button actions={{$:/core/ui/Actions/new-tiddler}} tooltip={{$:/language/Buttons/NewTiddler/Hint}} aria-label={{$:/language/Buttons/NewTiddler/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewTiddler/Caption}}/></span>\n</$list>\n</$button>\n"
        },
        "$:/core/ui/Buttons/palette": {
            "title": "$:/core/ui/Buttons/palette",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/palette}} {{$:/language/Buttons/Palette/Caption}}",
            "description": "{{$:/language/Buttons/Palette/Hint}}",
            "text": "\\whitespace trim\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/palette\">> tooltip={{$:/language/Buttons/Palette/Hint}} aria-label={{$:/language/Buttons/Palette/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/palette}}\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Palette/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/palette\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\" style=\"font-size:0.7em;\">\n{{$:/snippets/paletteswitcher}}\n</div>\n</$reveal>\n"
        },
        "$:/core/ui/Buttons/print": {
            "title": "$:/core/ui/Buttons/print",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/print-button}} {{$:/language/Buttons/Print/Caption}}",
            "description": "{{$:/language/Buttons/Print/Hint}}",
            "text": "<$button message=\"tm-print\" tooltip={{$:/language/Buttons/Print/Hint}} aria-label={{$:/language/Buttons/Print/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/print-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Print/Caption}}/></span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/refresh": {
            "title": "$:/core/ui/Buttons/refresh",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/refresh-button}} {{$:/language/Buttons/Refresh/Caption}}",
            "description": "{{$:/language/Buttons/Refresh/Hint}}",
            "text": "<$button message=\"tm-browser-refresh\" tooltip={{$:/language/Buttons/Refresh/Hint}} aria-label={{$:/language/Buttons/Refresh/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/refresh-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Refresh/Caption}}/></span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/save-wiki": {
            "title": "$:/core/ui/Buttons/save-wiki",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/save-button}} {{$:/language/Buttons/SaveWiki/Caption}}",
            "description": "{{$:/language/Buttons/SaveWiki/Hint}}",
            "text": "<$button tooltip={{$:/language/Buttons/SaveWiki/Hint}} aria-label={{$:/language/Buttons/SaveWiki/Caption}} class=<<tv-config-toolbar-class>>>\n<$wikify name=\"site-title\" text={{$:/config/SaveWikiButton/Filename}}>\n<$action-sendmessage $message=\"tm-save-wiki\" $param={{$:/config/SaveWikiButton/Template}} filename=<<site-title>>/>\n</$wikify>\n<span class=\"tc-dirty-indicator\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/save-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/SaveWiki/Caption}}/></span>\n</$list>\n</span>\n</$button>"
        },
        "$:/core/ui/Buttons/storyview": {
            "title": "$:/core/ui/Buttons/storyview",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/storyview-classic}} {{$:/language/Buttons/StoryView/Caption}}",
            "description": "{{$:/language/Buttons/StoryView/Hint}}",
            "text": "\\whitespace trim\n\\define icon()\n$:/core/images/storyview-$(storyview)$\n\\end\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/storyview\">> tooltip={{$:/language/Buttons/StoryView/Hint}} aria-label={{$:/language/Buttons/StoryView/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n<$set name=\"storyview\" value={{$:/view}}>\n<$transclude tiddler=<<icon>>/>\n</$set>\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/StoryView/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/storyview\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n{{$:/snippets/viewswitcher}}\n</div>\n</$reveal>\n"
        },
        "$:/core/ui/Buttons/tag-manager": {
            "title": "$:/core/ui/Buttons/tag-manager",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/tag-button}} {{$:/language/Buttons/TagManager/Caption}}",
            "description": "{{$:/language/Buttons/TagManager/Hint}}",
            "text": "\\whitespace trim\n\\define control-panel-button(class)\n<$button to=\"$:/TagManager\" tooltip={{$:/language/Buttons/TagManager/Hint}} aria-label={{$:/language/Buttons/TagManager/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/tag-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/TagManager/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/TagManager]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
        },
        "$:/core/ui/Buttons/theme": {
            "title": "$:/core/ui/Buttons/theme",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/theme-button}} {{$:/language/Buttons/Theme/Caption}}",
            "description": "{{$:/language/Buttons/Theme/Hint}}",
            "text": "\\whitespace trim\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/theme\">> tooltip={{$:/language/Buttons/Theme/Hint}} aria-label={{$:/language/Buttons/Theme/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/theme-button}}\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Theme/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/theme\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$linkcatcher to=\"$:/theme\">\n{{$:/snippets/themeswitcher}}\n</$linkcatcher>\n</div>\n</$reveal>\n"
        },
        "$:/core/ui/Buttons/timestamp": {
            "title": "$:/core/ui/Buttons/timestamp",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/timestamp-on}} {{$:/language/Buttons/Timestamp/Caption}}",
            "description": "{{$:/language/Buttons/Timestamp/Hint}}",
            "text": "\\whitespace trim\n<$reveal type=\"nomatch\" state=\"$:/config/TimestampDisable\" text=\"yes\">\n<$button tooltip={{$:/language/Buttons/Timestamp/On/Hint}} aria-label={{$:/language/Buttons/Timestamp/On/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-setfield $tiddler=\"$:/config/TimestampDisable\" $value=\"yes\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/timestamp-on}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Timestamp/On/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=\"$:/config/TimestampDisable\" text=\"yes\">\n<$button tooltip={{$:/language/Buttons/Timestamp/Off/Hint}} aria-label={{$:/language/Buttons/Timestamp/Off/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-setfield $tiddler=\"$:/config/TimestampDisable\" $value=\"no\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/timestamp-off}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Timestamp/Off/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n"
        },
        "$:/core/ui/Buttons/unfold-all": {
            "title": "$:/core/ui/Buttons/unfold-all",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/unfold-all-button}} {{$:/language/Buttons/UnfoldAll/Caption}}",
            "description": "{{$:/language/Buttons/UnfoldAll/Hint}}",
            "text": "<$button tooltip={{$:/language/Buttons/UnfoldAll/Hint}} aria-label={{$:/language/Buttons/UnfoldAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-unfold-all-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/unfold-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/UnfoldAll/Caption}}/></span>\n</$list>\n</$button>"
        },
        "$:/core/ui/PageTemplate/pagecontrols": {
            "title": "$:/core/ui/PageTemplate/pagecontrols",
            "text": "\\whitespace trim\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-page-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n<$set name=\"hidden\" value=<<config-title>>>\n<$list filter=\"[<hidden>!text[hide]]\" storyview=\"pop\" variable=\"ignore\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n</$set>\n</$list>\n</$set>\n</$list>\n</div>\n"
        },
        "$:/core/ui/PageStylesheet": {
            "title": "$:/core/ui/PageStylesheet",
            "text": "\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<$set name=\"currentTiddler\" value={{$:/language}}>\n\n<$set name=\"languageTitle\" value={{!!name}}>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<$transclude mode=\"block\"/>\n</$list>\n\n</$set>\n\n</$set>\n"
        },
        "$:/core/ui/PageTemplate/alerts": {
            "title": "$:/core/ui/PageTemplate/alerts",
            "tags": "$:/tags/PageTemplate",
            "text": "<div class=\"tc-alerts\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Alert]!has[draft.of]]\" template=\"$:/core/ui/AlertTemplate\" storyview=\"pop\"/>\n\n</div>\n"
        },
        "$:/core/ui/PageTemplate/drafts": {
            "title": "$:/core/ui/PageTemplate/drafts",
            "tags": "$:/tags/PageTemplate",
            "text": "\\whitespace trim\n<$reveal state=\"$:/status/IsReadOnly\" type=\"nomatch\" text=\"yes\" tag=\"div\" class=\"tc-drafts-list\">\n<$list filter=\"[has[draft.of]!sort[modified]] -[list[$:/StoryList]]\">\n<$link>\n{{$:/core/images/edit-button}} <$text text=<<currentTiddler>>/>\n</$link>\n</$list>\n</$reveal>\n"
        },
        "$:/core/ui/PageTemplate/pluginreloadwarning": {
            "title": "$:/core/ui/PageTemplate/pluginreloadwarning",
            "tags": "$:/tags/PageTemplate",
            "text": "\\define lingo-base() $:/language/\n\n<$list filter=\"[{$:/status/RequireReloadDueToPluginChange}match[yes]]\">\n\n<$reveal type=\"nomatch\" state=\"$:/temp/HidePluginWarning\" text=\"yes\">\n\n<div class=\"tc-plugin-reload-warning\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<<lingo PluginReloadWarning>> <$button set=\"$:/temp/HidePluginWarning\" setTo=\"yes\" class=\"tc-btn-invisible\">{{$:/core/images/close-button}}</$button>\n\n</$set>\n\n</div>\n\n</$reveal>\n\n</$list>\n"
        },
        "$:/core/ui/PageTemplate/sidebar": {
            "title": "$:/core/ui/PageTemplate/sidebar",
            "tags": "$:/tags/PageTemplate",
            "text": "\\whitespace trim\n\\define config-title()\n$:/config/SideBarSegments/Visibility/$(listItem)$\n\\end\n\n<$scrollable fallthrough=\"no\" class=\"tc-sidebar-scrollable\">\n\n<div class=\"tc-sidebar-header\">\n\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\" retain=\"yes\" animate=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBarSegment]!has[draft.of]]\" variable=\"listItem\">\n\n<$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"  tag=\"div\">\n\n<$transclude tiddler=<<listItem>> mode=\"block\"/>\n\n</$reveal>\n\n</$list>\n\n</$reveal>\n\n</div>\n\n</$scrollable>\n"
        },
        "$:/core/ui/PageTemplate/story": {
            "title": "$:/core/ui/PageTemplate/story",
            "tags": "$:/tags/PageTemplate",
            "text": "\\whitespace trim\n<section class=\"tc-story-river\">\n\n<section class=\"story-backdrop\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/AboveStory]!has[draft.of]]\">\n\n<$transclude/>\n\n</$list>\n\n</section>\n\n<$list filter=\"[list[$:/StoryList]]\" history=\"$:/HistoryList\" template={{$:/config/ui/ViewTemplate}} editTemplate={{$:/config/ui/EditTemplate}} storyview={{$:/view}} emptyMessage={{$:/config/EmptyStoryMessage}}/>\n\n<section class=\"story-frontdrop\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/BelowStory]!has[draft.of]]\">\n\n<$transclude/>\n\n</$list>\n\n</section>\n\n</section>\n"
        },
        "$:/core/ui/PageTemplate/topleftbar": {
            "title": "$:/core/ui/PageTemplate/topleftbar",
            "tags": "$:/tags/PageTemplate",
            "text": "<span class=\"tc-topbar tc-topbar-left\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopLeftBar]!has[draft.of]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</span>\n"
        },
        "$:/core/ui/PageTemplate/toprightbar": {
            "title": "$:/core/ui/PageTemplate/toprightbar",
            "tags": "$:/tags/PageTemplate",
            "text": "<span class=\"tc-topbar tc-topbar-right\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopRightBar]!has[draft.of]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</span>\n"
        },
        "$:/core/ui/PageTemplate": {
            "title": "$:/core/ui/PageTemplate",
            "name": "{{$:/language/PageTemplate/Name}}",
            "description": "{{$:/language/PageTemplate/Description}}",
            "text": "\\whitespace trim\n\\define containerClasses()\ntc-page-container tc-page-view-$(storyviewTitle)$ tc-language-$(languageTitle)$\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<$vars\n\ttv-config-toolbar-icons={{$:/config/Toolbar/Icons}}\n\ttv-config-toolbar-text={{$:/config/Toolbar/Text}}\n\ttv-config-toolbar-class={{$:/config/Toolbar/ButtonClass}}\n\ttv-enable-drag-and-drop={{$:/config/DragAndDrop/Enable}}\n\ttv-show-missing-links={{$:/config/MissingLinks}}\n\tstoryviewTitle={{$:/view}}\n\tlanguageTitle={{{ [{$:/language}get[name]] }}}>\n\n<div class=<<containerClasses>>>\n\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n\n<$dropzone enable=<<tv-enable-drag-and-drop>>>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageTemplate]!has[draft.of]]\" variable=\"listItem\">\n\n<$transclude tiddler=<<listItem>>/>\n\n</$list>\n\n</$dropzone>\n\n</$navigator>\n\n</div>\n\n</$vars>\n"
        },
        "$:/PaletteManager": {
            "title": "$:/PaletteManager",
            "text": "\\define lingo-base() $:/language/ControlPanel/Palette/Editor/\n\\define describePaletteColour(colour)\n<$transclude tiddler=\"$:/language/Docs/PaletteColours/$colour$\"><$text text=\"$colour$\"/></$transclude>\n\\end\n\\define edit-colour-placeholder()\n edit $(colourName)$\n\\end\n\\define colour-tooltip(showhide) $showhide$ editor for $(newColourName)$ \n\\define resolve-colour(macrocall)\n\\import $:/core/macros/utils\n\\whitespace trim\n<$wikify name=\"name\" text=\"\"\"$macrocall$\"\"\">\n<<name>>\n</$wikify>\n\\end\n\\define delete-colour-index-actions() <$action-setfield $index=<<colourName>>/>\n\\define palette-manager-colour-row-segment()\n\\whitespace trim\n<$edit-text index=<<colourName>> tag=\"input\" placeholder=<<edit-colour-placeholder>> default=\"\"/>\n<br>\n<$edit-text index=<<colourName>> type=\"color\" tag=\"input\" class=\"tc-palette-manager-colour-input\"/>\n<$list filter=\"[<currentTiddler>getindex<colourName>removeprefix[<<]removesuffix[>>]] [<currentTiddler>getindex<colourName>removeprefix[<$]removesuffix[/>]]\" variable=\"ignore\">\n<$set name=\"state\" value={{{ [[$:/state/palettemanager/]addsuffix<currentTiddler>addsuffix[/]addsuffix<colourName>] }}}>\n<$wikify name=\"newColourName\" text=\"\"\"<$macrocall $name=\"resolve-colour\" macrocall={{{ [<currentTiddler>getindex<colourName>] }}}/>\"\"\">\n<$reveal state=<<state>> type=\"nomatch\" text=\"show\">\n<$button tooltip=<<colour-tooltip show>> aria-label=<<colour-tooltip show>> class=\"tc-btn-invisible\" set=<<state>> setTo=\"show\">{{$:/core/images/down-arrow}}<$text text=<<newColourName>> class=\"tc-small-gap-left\"/></$button><br>\n</$reveal>\n<$reveal state=<<state>> type=\"match\" text=\"show\">\n<$button tooltip=<<colour-tooltip hide>> aria-label=<<colour-tooltip show>> class=\"tc-btn-invisible\" actions=\"\"\"<$action-deletetiddler $tiddler=<<state>>/>\"\"\">{{$:/core/images/up-arrow}}<$text text=<<newColourName>> class=\"tc-small-gap-left\"/></$button><br>\n</$reveal>\n<$reveal state=<<state>> type=\"match\" text=\"show\">\n<$set name=\"colourName\" value=<<newColourName>>>\n<br>\n<<palette-manager-colour-row-segment>>\n<br><br>\n</$set>\n</$reveal>\n</$wikify>\n</$set>\n</$list>\n\\end\n\\define palette-manager-colour-row()\n\\whitespace trim\n<tr>\n<td>\n<span style=\"float:right;\">\n<$button tooltip={{$:/language/ControlPanel/Palette/Editor/Delete/Hint}} aria-label=<<lingo Delete/Hint>> class=\"tc-btn-invisible\" actions=<<delete-colour-index-actions>>>\n{{$:/core/images/delete-button}}</$button>\n</span>\n''<$macrocall $name=\"describePaletteColour\" colour=<<colourName>>/>''<br/>\n<$macrocall $name=\"colourName\" $output=\"text/plain\"/>\n</td>\n<td>\n<<palette-manager-colour-row-segment>>\n</td>\n</tr>\n\\end\n\\define palette-manager-table()\n\\whitespace trim\n<table>\n<tbody>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Palette]indexes[]]\" variable=\"colourName\">\n<$list filter=\"[<currentTiddler>indexes[]removeprefix<colourName>suffix[]]\" variable=\"ignore\" emptyMessage=\"\"\"\n<$list filter=\"[{$:/state/palettemanager/showexternal}removeprefix[yes]suffix[]]\" variable=\"ignore\">\n<<palette-manager-colour-row>>\n</$list>\n\"\"\">\n<<palette-manager-colour-row>>\n</$list>\n</$list>\n</tbody>\n</table>\n\\end\n<$set name=\"currentTiddler\" value={{$:/palette}}>\n\n<<lingo Prompt>> <$link to={{$:/palette}}><$macrocall $name=\"currentTiddler\" $output=\"text/plain\"/></$link>\n\n<$list filter=\"[all[current]is[shadow]is[tiddler]]\" variable=\"listItem\">\n<<lingo Prompt/Modified>>\n<$button message=\"tm-delete-tiddler\" param={{$:/palette}}><<lingo Reset/Caption>></$button>\n</$list>\n\n<$list filter=\"[all[current]is[shadow]!is[tiddler]]\" variable=\"listItem\">\n<<lingo Clone/Prompt>>\n</$list>\n\n<$button message=\"tm-new-tiddler\" param={{$:/palette}}><<lingo Clone/Caption>></$button>\n\n<$checkbox tiddler=\"$:/state/palettemanager/showexternal\" field=\"text\" checked=\"yes\" unchecked=\"no\"><span class=\"tc-small-gap-left\"><<lingo Names/External/Show>></span></$checkbox>\n\n<<palette-manager-table>>\n"
        },
        "$:/core/ui/PluginInfo": {
            "title": "$:/core/ui/PluginInfo",
            "text": "\\define localised-info-tiddler-title()\n$(currentTiddler)$/$(languageTitle)$/$(currentTab)$\n\\end\n\\define info-tiddler-title()\n$(currentTiddler)$/$(currentTab)$\n\\end\n\\define default-tiddler-title()\n$:/core/ui/PluginInfo/Default/$(currentTab)$\n\\end\n<$transclude tiddler=<<localised-info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<localised-info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<default-tiddler-title>> mode=\"block\">\n{{$:/language/ControlPanel/Plugin/NoInfoFound/Hint}}\n</$transclude>\n</$transclude>\n</$transclude>\n</$transclude>\n"
        },
        "$:/core/ui/PluginInfo/Default/contents": {
            "title": "$:/core/ui/PluginInfo/Default/contents",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/PluginInfo/\n<<lingo Hint>>\n<ul>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" emptyMessage=<<lingo Empty/Hint>>>\n<li>\n<$link />\n</li>\n</$list>\n</ul>\n"
        },
        "$:/core/ui/PluginListItemTemplate": {
            "title": "$:/core/ui/PluginListItemTemplate",
            "text": "<div class=\"tc-menu-list-item\">\n<$link to={{!!title}}><$view field=\"description\"><$view field=\"title\"/></$view></$link>\n</div>"
        },
        "$:/core/ui/RootTemplate": {
            "title": "$:/core/ui/RootTemplate",
            "text": "<$transclude tiddler={{{ [{$:/layout}has[text]] ~[[$:/core/ui/PageTemplate]] }}} mode=\"inline\"/>\n\n"
        },
        "$:/core/ui/SearchResults": {
            "title": "$:/core/ui/SearchResults",
            "text": "<div class=\"tc-search-results\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\" emptyMessage=\"\"\"\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\">\n<$transclude mode=\"block\"/>\n</$list>\n\"\"\">\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\" default={{$:/config/SearchResults/Default}} actions=\"\"\"<$action-setfield $tiddler=\"$:/state/search/currentTab\" text=<<currentTab>>/>\"\"\" explicitState=\"$:/state/tab/search-results/sidebar\"/>\n\n</$list>\n\n</div>\n"
        },
        "$:/core/ui/SideBar/More": {
            "title": "$:/core/ui/SideBar/More",
            "tags": "$:/tags/SideBar",
            "caption": "{{$:/language/SideBar/More/Caption}}",
            "text": "<div class=\"tc-more-sidebar\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar]!has[draft.of]]\" default={{$:/config/DefaultMoreSidebarTab}} state=\"$:/state/tab/moresidebar\" class=\"tc-vertical tc-sidebar-tabs-more\" explicitState=\"$:/state/tab/moresidebar-1850697562\"/>\n</div>\n"
        },
        "$:/core/ui/SideBar/Open": {
            "title": "$:/core/ui/SideBar/Open",
            "tags": "$:/tags/SideBar",
            "caption": "{{$:/language/SideBar/Open/Caption}}",
            "text": "\\whitespace trim\n\\define lingo-base() $:/language/CloseAll/\n\n\\define drop-actions()\n<$action-listops $tiddler=<<tv-story-list>> $subfilter=\"+[insertbefore:currentTiddler<actionTiddler>]\"/>\n\\end\n\n\\define placeholder()\n<div class=\"tc-droppable-placeholder\"/>\n\\end\n\n\\define droppable-item(button)\n\\whitespace trim\n<$droppable actions=<<drop-actions>> enable=<<tv-allow-drag-and-drop>>>\n<<placeholder>>\n<div>\n$button$\n</div>\n</$droppable>\n\\end\n\n<div class=\"tc-sidebar-tab-open\">\n<$list filter=\"[list<tv-story-list>]\" history=<<tv-history-list>> storyview=\"pop\">\n<div class=\"tc-sidebar-tab-open-item\">\n<$macrocall $name=\"droppable-item\" button=\"\"\"<$button message=\"tm-close-tiddler\" tooltip={{$:/language/Buttons/Close/Hint}} aria-label={{$:/language/Buttons/Close/Caption}} class=\"tc-btn-invisible tc-btn-mini tc-small-gap-right\">{{$:/core/images/close-button}}</$button><$link to={{!!title}}><$view field=\"title\"/></$link>\"\"\"/>\n</div>\n</$list>\n<$tiddler tiddler=\"\">\n<div>\n<$macrocall $name=\"droppable-item\" button=\"\"\"<$button message=\"tm-close-all-tiddlers\" class=\"tc-btn-invisible tc-btn-mini\"><<lingo Button>></$button>\"\"\"/>\n</div>\n</$tiddler>\n</div>\n"
        },
        "$:/core/ui/SideBar/Recent": {
            "title": "$:/core/ui/SideBar/Recent",
            "tags": "$:/tags/SideBar",
            "caption": "{{$:/language/SideBar/Recent/Caption}}",
            "text": "<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n"
        },
        "$:/core/ui/SideBar/Tools": {
            "title": "$:/core/ui/SideBar/Tools",
            "tags": "$:/tags/SideBar",
            "caption": "{{$:/language/SideBar/Tools/Caption}}",
            "text": "\\define lingo-base() $:/language/ControlPanel/\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n\n<<lingo Basics/Version/Prompt>> <<version>>\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n\n<div style=\"position:relative;\" class={{{ [<listItem>encodeuricomponent[]addprefix[tc-btn-]] }}}>\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>>/> <i class=\"tc-muted\"><$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</div>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n"
        },
        "$:/core/ui/SideBarLists": {
            "title": "$:/core/ui/SideBarLists",
            "text": "<$transclude tiddler=\"$:/core/ui/SideBarSegments/search\"/>\n\n<$transclude tiddler=\"$:/core/ui/SideBarSegments/tabs\"/>\n\n"
        },
        "$:/core/ui/SideBarSegments/page-controls": {
            "title": "$:/core/ui/SideBarSegments/page-controls",
            "tags": "$:/tags/SideBarSegment",
            "text": "{{||$:/core/ui/PageTemplate/pagecontrols}}\n"
        },
        "$:/core/ui/SideBarSegments/search": {
            "title": "$:/core/ui/SideBarSegments/search",
            "tags": "$:/tags/SideBarSegment",
            "text": "\\whitespace trim\n\n\\define count-popup-button()\n\\whitespace trim\n<$button popup=<<qualify \"$:/state/popup/search-dropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n<$list filter=\"[{$(searchTiddler)$}minlength{$:/config/Search/MinLength}limit[1]]\" variable=\"listItem\">\n<$vars userInput={{{ [<searchTiddler>get[text]] }}} configTiddler={{{ [[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}] }}} replaceRegexp=\"limit\\[\\d+\\]\">\n<$vars primaryListFilter={{{ [<configTiddler>get[first-search-filter]search-replace:g:regexp<replaceRegexp>,[]] }}} secondaryListFilter={{{ [<configTiddler>get[second-search-filter]search-replace:g:regexp<replaceRegexp>,[]] }}}>\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[subfilter<primaryListFilter>] [subfilter<secondaryListFilter>]\"/>\"\"\">\n{{$:/language/Search/Matches}}\n</$set>\n</$vars>\n</$vars>\n</$list>\n</$button>\n\\end\n\n\\define search-results-list()\n\\whitespace trim\n<$vars userInput={{$(searchTiddler)$}} configTiddler={{{ [[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}] }}}>\n<$list filter=\"[<userInput>minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n<$tiddler tiddler=<<configTiddler>>>\n\n{{$:/core/ui/SearchResults}}\n\n</$tiddler>\n\n</$list>\n</$vars>\n\\end\n\n\\define cancel-search-actions() <$list filter=\"[<searchTiddler>get[text]!match{$:/temp/search}]\" emptyMessage=\"\"\"<$action-deletetiddler $filter=\"[[$:/temp/search]] [<searchTiddler>] [<searchListState>]\"/>\"\"\"><$action-setfield $tiddler=\"$:/temp/search\" text={{{ [<searchTiddler>get[text]] }}}/><$action-setfield $tiddler=\"$:/temp/search/refresh\" text=\"yes\"/></$list>\n\n\\define input-accept-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\"\"\"><$action-navigate $to={{{ [<__tiddler__>get[text]] }}}/></$list>\n\n\\define input-accept-variant-actions() <$list filter=\"[{$:/config/Search/NavigateOnEnter/enable}match[yes]]\" emptyMessage=\"\"\"<$list filter=\"[<__tiddler__>get[text]!is[missing]] ~[<__tiddler__>get[text]is[shadow]]\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{  [<__tiddler__>get[text]] }}}/></$list></$list>\"\"\"><$list filter=\"[<__tiddler__>get[text]minlength[1]]\"><$action-sendmessage $message=\"tm-edit-tiddler\" $param={{{  [<__tiddler__>get[text]] }}}/></$list></$list>\n\n\\define set-next-input-tab(beforeafter:\"after\") <$macrocall $name=\"change-input-tab\" stateTitle=\"$:/state/tab/search-results/sidebar\" tag=\"$:/tags/SearchResults\" beforeafter=\"$beforeafter$\" defaultState={{$:/config/SearchResults/Default}} actions=\"\"\"<$action-setfield $tiddler=\"$:/state/search/currentTab\" text=<<nextTab>>/>\"\"\"/>\n\n\\define advanced-search-actions() <$action-setfield $tiddler=\"$:/temp/advancedsearch\" text={{$:/temp/search/input}}/><$action-setfield $tiddler=\"$:/temp/advancedsearch/input\" text={{$:/temp/search/input}}/><<delete-state-tiddlers>><$action-navigate $to=\"$:/AdvancedSearch\"/><$action-setfield $tiddler=\"$:/temp/advancedsearch/refresh\" text=\"yes\"/><$action-sendmessage $message=\"tm-focus-selector\" $param=\"\"\"[data-tiddler-title=\"$:/AdvancedSearch\"] .tc-search input\"\"\" preventScroll=\"true\"/><$action-deletetiddler $filter=\"$:/temp/search $:/temp/search/input $:/temp/search/refresh [<searchListState>]\"/>\n\n<div class=\"tc-sidebar-lists tc-sidebar-search\">\n\n<$vars editTiddler=\"$:/temp/search\" searchTiddler=\"$:/temp/search/input\" searchListState=<<qualify \"$:/state/search-list/selected-item\">>>\n<div class=\"tc-search\">\n<$keyboard key=\"((input-tab-right))\" actions=<<set-next-input-tab>>>\n<$keyboard key=\"((input-tab-left))\" actions=<<set-next-input-tab \"before\">>>\n<$keyboard key=\"((advanced-search-sidebar))\" actions=<<advanced-search-actions>>>\n<$macrocall $name=\"keyboard-driven-input\" tiddler=<<editTiddler>> storeTitle=<<searchTiddler>> \n\t\tselectionStateTitle=<<searchListState>> refreshTitle=\"$:/temp/search/refresh\" type=\"search\" \n\t\ttag=\"input\" focus={{$:/config/Search/AutoFocus}} focusPopup=<<qualify \"$:/state/popup/search-dropdown\">> \n\t\tclass=\"tc-popup-handle\" filterMinLength={{$:/config/Search/MinLength}} inputCancelActions=<<cancel-search-actions>> \n\t\tinputAcceptActions=<<input-accept-actions>> inputAcceptVariantActions=<<input-accept-variant-actions>> cancelPopups=\"yes\" \n\t\tconfigTiddlerFilter=\"[[$:/state/search/currentTab]!is[missing]get[text]] ~[{$:/config/SearchResults/Default}]\"/>\n</$keyboard>\n</$keyboard>\n</$keyboard>\n<$reveal state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n<$button tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n<<advanced-search-actions>>\n{{$:/core/images/advanced-search-button}}\n</$button>\n<$button class=\"tc-btn-invisible\">\n<<cancel-search-actions>><$action-sendmessage $message=\"tm-focus-selector\" $param=\".tc-search input\"/>\n{{$:/core/images/close-button}}\n</$button>\n<<count-popup-button>>\n</$reveal>\n<$reveal state=<<searchTiddler>> type=\"match\" text=\"\">\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n{{$:/core/images/advanced-search-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown-wrapper\" state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown tc-search-drop-down tc-popup-handle\" state=<<qualify \"$:/state/popup/search-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n\n<<search-results-list>>\n\n</$reveal>\n\n</$reveal>\n\n</$vars>\n\n</div>\n"
        },
        "$:/core/ui/SideBarSegments/site-subtitle": {
            "title": "$:/core/ui/SideBarSegments/site-subtitle",
            "tags": "$:/tags/SideBarSegment",
            "text": "<div class=\"tc-site-subtitle\">\n\n<$transclude tiddler=\"$:/SiteSubtitle\" mode=\"inline\"/>\n\n</div>\n"
        },
        "$:/core/ui/SideBarSegments/site-title": {
            "title": "$:/core/ui/SideBarSegments/site-title",
            "tags": "$:/tags/SideBarSegment",
            "text": "<h1 class=\"tc-site-title\">\n\n<$transclude tiddler=\"$:/SiteTitle\" mode=\"inline\"/>\n\n</h1>\n"
        },
        "$:/core/ui/SideBarSegments/tabs": {
            "title": "$:/core/ui/SideBarSegments/tabs",
            "tags": "$:/tags/SideBarSegment",
            "text": "<div class=\"tc-sidebar-lists tc-sidebar-tabs\">\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\" default={{$:/config/DefaultSidebarTab}} state=\"$:/state/tab/sidebar\" class=\"tc-sidebar-tabs-main\" explicitState=\"$:/state/tab/sidebar--595412856\"/>\n\n</div>\n"
        },
        "$:/core/ui/SwitcherModal": {
            "title": "$:/core/ui/SwitcherModal",
            "subtitle": "<$text text={{{[<switch>lookup[$:/language/Switcher/Subtitle/]]}}}/>",
            "class": "tc-modal-centered",
            "text": "<$tiddler tiddler={{{[<switch>lookup[$:/config/SwitcherTargets/]]}}}>\n\n\n<$transclude/>\n\n\n</$tiddler>"
        },
        "$:/TagManager": {
            "title": "$:/TagManager",
            "icon": "$:/core/images/tag-button",
            "color": "#bbb",
            "text": "\\define lingo-base() $:/language/TagManager/\n\\define iconEditorTab(type)\n\\whitespace trim\n<$link to=\"\"><<lingo Icons/None>></$link>\n<$list filter=\"[all[shadows+tiddlers]is[image]] [all[shadows+tiddlers]tag[$:/tags/Image]] -[type[application/pdf]] +[sort[title]] +[$type$is[system]]\">\n<$link to={{!!title}}>\n<$transclude/> <$view field=\"title\"/>\n</$link>\n</$list>\n\\end\n\\define iconEditor(title)\n\\whitespace trim\n<div class=\"tc-drop-down-wrapper\">\n<$button popupTitle={{{ [[$:/state/popup/icon/]addsuffix<__title__>] }}} class=\"tc-btn-invisible tc-btn-dropdown\">{{$:/core/images/down-arrow}}</$button>\n<$reveal stateTitle={{{ [[$:/state/popup/icon/]addsuffix<__title__>] }}} type=\"popup\" position=\"belowleft\" text=\"\" default=\"\">\n<div class=\"tc-drop-down\">\n<$linkcatcher actions=\"\"\"<$action-setfield $tiddler=<<__title__>> icon=<<navigateTo>>/>\"\"\">\n<<iconEditorTab type:\"!\">>\n<hr/>\n<<iconEditorTab type:\"\">>\n</$linkcatcher>\n</div>\n</$reveal>\n</div>\n\\end\n\\define toggleButton(state)\n\\whitespace trim\n<$reveal stateTitle=<<__state__>> type=\"match\" text=\"closed\" default=\"closed\">\n<$button setTitle=<<__state__>> setTo=\"open\" class=\"tc-btn-invisible tc-btn-dropdown\" selectedClass=\"tc-selected\">\n{{$:/core/images/info-button}}\n</$button>\n</$reveal>\n<$reveal stateTitle=<<__state__>> type=\"match\" text=\"open\" default=\"closed\">\n<$button setTitle=<<__state__>> setTo=\"closed\" class=\"tc-btn-invisible tc-btn-dropdown\" selectedClass=\"tc-selected\">\n{{$:/core/images/info-button}}\n</$button>\n</$reveal>\n\\end\n\\whitespace trim\n<table class=\"tc-tag-manager-table\">\n<tbody>\n<tr>\n<th><<lingo Colour/Heading>></th>\n<th class=\"tc-tag-manager-tag\"><<lingo Tag/Heading>></th>\n<th><<lingo Count/Heading>></th>\n<th><<lingo Icon/Heading>></th>\n<th><<lingo Info/Heading>></th>\n</tr>\n<$list filter=\"[tags[]!is[system]sort[title]]\">\n<tr>\n<td><$edit-text field=\"color\" tag=\"input\" type=\"color\"/></td>\n<td>{{||$:/core/ui/TagTemplate}}</td>\n<td><$count filter=\"[all[current]tagging[]]\"/></td>\n<td>\n<$macrocall $name=\"iconEditor\" title={{!!title}}/>\n</td>\n<td>\n<$macrocall $name=\"toggleButton\" state={{{ [[$:/state/tag-manager/]addsuffix<currentTiddler>] }}} /> \n</td>\n</tr>\n<tr>\n<td></td>\n<td colspan=\"4\">\n<$reveal stateTitle={{{ [[$:/state/tag-manager/]addsuffix<currentTiddler>] }}} type=\"match\" text=\"open\" default=\"\">\n<table>\n<tbody>\n<tr><td><<lingo Colour/Heading>></td><td><$edit-text field=\"color\" tag=\"input\" type=\"text\" size=\"9\"/></td></tr>\n<tr><td><<lingo Icon/Heading>></td><td><$edit-text field=\"icon\" tag=\"input\" size=\"45\"/></td></tr>\n</tbody>\n</table>\n</$reveal>\n</td>\n</tr>\n</$list>\n<tr>\n<td></td>\n<td style=\"position:relative;\">\n{{$:/core/ui/UntaggedTemplate}}\n</td>\n<td>\n<small class=\"tc-menu-list-count\"><$count filter=\"[untagged[]!is[system]] -[tags[]]\"/></small>\n</td>\n<td></td>\n<td></td>\n</tr>\n</tbody>\n</table>\n"
        },
        "$:/core/ui/TagPickerTagTemplate": {
            "title": "$:/core/ui/TagPickerTagTemplate",
            "text": "\\whitespace trim\n<$button class=<<button-classes>> tag=\"a\" tooltip={{$:/language/EditTemplate/Tags/Add/Button/Hint}}>\n<$list filter=\"[<saveTiddler>minlength[1]]\">\n<$action-listops $tiddler=<<saveTiddler>> $field=<<tagField>> $subfilter=\"[<tag>]\"/>\n</$list>\n<$set name=\"currentTiddlerCSSEscaped\" value={{{ [<saveTiddler>escapecss[]] }}}>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=<<get-tagpicker-focus-selector>> preventScroll=\"true\"/>\n</$set>\n<<delete-tag-state-tiddlers>>\n<$list filter=\"[<refreshTitle>minlength[1]]\">\n<$action-setfield $tiddler=<<refreshTitle>> text=\"yes\"/>\n</$list>\n<<actions>>\n<$set name=\"backgroundColor\" value={{!!color}}>\n<$wikify name=\"foregroundColor\" text=\"\"\"<$macrocall $name=\"contrastcolour\" target={{!!color}} fallbackTarget=<<fallbackTarget>> colourA=<<colourA>> colourB=<<colourB>>/>\"\"\">\n<span class=\"tc-tag-label tc-btn-invisible\" style=<<tag-pill-styles>>>\n<$transclude tiddler={{!!icon}}/><$view field=\"title\" format=\"text\"/>\n</span>\n</$wikify>\n</$set>\n</$button>\n"
        },
        "$:/core/ui/TagTemplate": {
            "title": "$:/core/ui/TagTemplate",
            "text": "\\whitespace trim\n<span class=\"tc-tag-list-item\">\n<$set name=\"transclusion\" value=<<currentTiddler>>>\n<$macrocall $name=\"tag-pill-body\" tag=<<currentTiddler>> icon={{!!icon}} colour={{!!color}} palette={{$:/palette}} element-tag=\"\"\"$button\"\"\" element-attributes=\"\"\"popup=<<qualify \"$:/state/popup/tag\">> dragFilter='[all[current]tagging[]]' tag='span'\"\"\"/>\n<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\" animate=\"yes\" class=\"tc-drop-down\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</$set>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TagDropdown]!has[draft.of]]\" variable=\"listItem\"> \n<$transclude tiddler=<<listItem>>/> \n</$list>\n<hr>\n<$macrocall $name=\"list-tagged-draggable\" tag=<<currentTiddler>>/>\n</$reveal>\n</$set>\n</span>\n"
        },
        "$:/core/ui/TiddlerFieldTemplate": {
            "title": "$:/core/ui/TiddlerFieldTemplate",
            "text": "<tr class=\"tc-view-field\">\n<td class=\"tc-view-field-name\">\n<$text text=<<listItem>>/>\n</td>\n<td class=\"tc-view-field-value\">\n<$view field=<<listItem>>/>\n</td>\n</tr>"
        },
        "$:/core/ui/TiddlerFields": {
            "title": "$:/core/ui/TiddlerFields",
            "text": "<table class=\"tc-view-field-table\">\n<tbody>\n<$list filter=\"[all[current]fields[]sort[title]] -text\" template=\"$:/core/ui/TiddlerFieldTemplate\" variable=\"listItem\"/>\n</tbody>\n</table>\n"
        },
        "$:/core/ui/TiddlerInfo/Advanced/PluginInfo": {
            "title": "$:/core/ui/TiddlerInfo/Advanced/PluginInfo",
            "tags": "$:/tags/TiddlerInfo/Advanced",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/PluginInfo/\n<$list filter=\"[all[current]has[plugin-type]]\">\n\n! <<lingo Heading>>\n\n<<lingo Hint>>\n<ul>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" emptyMessage=<<lingo Empty/Hint>>>\n<li>\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</li>\n</$list>\n</ul>\n\n</$list>\n"
        },
        "$:/core/ui/TiddlerInfo/Advanced/ShadowInfo": {
            "title": "$:/core/ui/TiddlerInfo/Advanced/ShadowInfo",
            "tags": "$:/tags/TiddlerInfo/Advanced",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/ShadowInfo/\n<$set name=\"infoTiddler\" value=<<currentTiddler>>>\n\n''<<lingo Heading>>''\n\n<$list filter=\"[all[current]!is[shadow]]\">\n\n<<lingo NotShadow/Hint>>\n\n</$list>\n\n<$list filter=\"[all[current]is[shadow]]\">\n\n<<lingo Shadow/Hint>>\n\n<$list filter=\"[all[current]shadowsource[]]\">\n\n<$set name=\"pluginTiddler\" value=<<currentTiddler>>>\n<<lingo Shadow/Source>>\n</$set>\n\n</$list>\n\n<$list filter=\"[all[current]is[shadow]is[tiddler]]\">\n\n<<lingo OverriddenShadow/Hint>>\n\n</$list>\n\n\n</$list>\n</$set>\n"
        },
        "$:/core/ui/TiddlerInfo/Advanced": {
            "title": "$:/core/ui/TiddlerInfo/Advanced",
            "tags": "$:/tags/TiddlerInfo",
            "caption": "{{$:/language/TiddlerInfo/Advanced/Caption}}",
            "text": "<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfo/Advanced]!has[draft.of]]\" variable=\"listItem\">\n\n<$transclude tiddler=<<listItem>> mode=\"block\"/>\n</$list>\n"
        },
        "$:/core/ui/TiddlerInfo/Fields": {
            "title": "$:/core/ui/TiddlerInfo/Fields",
            "tags": "$:/tags/TiddlerInfo",
            "caption": "{{$:/language/TiddlerInfo/Fields/Caption}}",
            "text": "<$transclude tiddler=\"$:/core/ui/TiddlerFields\"/>\n"
        },
        "$:/core/ui/TiddlerInfo/List": {
            "title": "$:/core/ui/TiddlerInfo/List",
            "tags": "$:/tags/TiddlerInfo",
            "caption": "{{$:/language/TiddlerInfo/List/Caption}}",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[list{!!title}]\" emptyMessage=<<lingo List/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
        },
        "$:/core/ui/TiddlerInfo/Listed": {
            "title": "$:/core/ui/TiddlerInfo/Listed",
            "tags": "$:/tags/TiddlerInfo",
            "caption": "{{$:/language/TiddlerInfo/Listed/Caption}}",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]listed[]!is[system]]\" emptyMessage=<<lingo Listed/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
        },
        "$:/core/ui/TiddlerInfo/References": {
            "title": "$:/core/ui/TiddlerInfo/References",
            "tags": "$:/tags/TiddlerInfo",
            "caption": "{{$:/language/TiddlerInfo/References/Caption}}",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]backlinks[]sort[title]]\" emptyMessage=<<lingo References/Empty>> template=\"$:/core/ui/ListItemTemplate\">\n</$list>"
        },
        "$:/core/ui/TiddlerInfo/Tagging": {
            "title": "$:/core/ui/TiddlerInfo/Tagging",
            "tags": "$:/tags/TiddlerInfo",
            "caption": "{{$:/language/TiddlerInfo/Tagging/Caption}}",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]tagging[]]\" emptyMessage=<<lingo Tagging/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
        },
        "$:/core/ui/TiddlerInfo/Tools": {
            "title": "$:/core/ui/TiddlerInfo/Tools",
            "tags": "$:/tags/TiddlerInfo",
            "caption": "{{$:/language/TiddlerInfo/Tools/Caption}}",
            "text": "\\define lingo-base() $:/language/TiddlerInfo/\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\">\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>>/> <i class=\"tc-muted\"><$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n"
        },
        "$:/core/ui/TiddlerInfo": {
            "title": "$:/core/ui/TiddlerInfo",
            "text": "<div style=\"position:relative;\">\n<div class=\"tc-tiddler-controls\" style=\"position:absolute;right:0;\">\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"sticky\">\n<$button set=<<tiddlerInfoState>> setTo=\"\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=\"tc-btn-invisible\">\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n</div>\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfo]!has[draft.of]]\" default={{$:/config/TiddlerInfo/Default}}/>\n"
        },
        "$:/core/ui/TopBar/menu": {
            "title": "$:/core/ui/TopBar/menu",
            "tags": "$:/tags/TopRightBar",
            "text": "<$list filter=\"[[$:/state/sidebar]get[text]] +[else[yes]!match[no]]\" variable=\"ignore\">\n<$button set=\"$:/state/sidebar\" setTo=\"no\" tooltip={{$:/language/Buttons/HideSideBar/Hint}} aria-label={{$:/language/Buttons/HideSideBar/Caption}} class=\"tc-btn-invisible tc-hide-sidebar-btn\">{{$:/core/images/chevron-right}}</$button>\n</$list>\n<$list filter=\"[[$:/state/sidebar]get[text]] +[else[yes]match[no]]\" variable=\"ignore\">\n<$button set=\"$:/state/sidebar\" setTo=\"yes\" tooltip={{$:/language/Buttons/ShowSideBar/Hint}} aria-label={{$:/language/Buttons/ShowSideBar/Caption}} class=\"tc-btn-invisible tc-show-sidebar-btn\">{{$:/core/images/chevron-left}}</$button>\n</$list>\n"
        },
        "$:/core/ui/UntaggedTemplate": {
            "title": "$:/core/ui/UntaggedTemplate",
            "text": "\\define lingo-base() $:/language/SideBar/\n<$button popup=<<qualify \"$:/state/popup/tag\">> class=\"tc-btn-invisible tc-untagged-label tc-tag-label\">\n<<lingo Tags/Untagged/Caption>>\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\">\n<div class=\"tc-drop-down\">\n<$list filter=\"[untagged[]!is[system]] -[tags[]] +[sort[title]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$reveal>\n"
        },
        "$:/core/ui/ViewTemplate/body": {
            "title": "$:/core/ui/ViewTemplate/body",
            "tags": "$:/tags/ViewTemplate",
            "text": "<$reveal tag=\"div\" class=\"tc-tiddler-body\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" retain=\"yes\" animate=\"yes\">\n\n<$list filter=\"[all[current]!has[plugin-type]!field:hide-body[yes]]\">\n\n<$transclude>\n\n<$transclude tiddler=\"$:/language/MissingTiddler/Hint\"/>\n\n</$transclude>\n\n</$list>\n\n</$reveal>\n"
        },
        "$:/core/ui/ViewTemplate/classic": {
            "title": "$:/core/ui/ViewTemplate/classic",
            "tags": "$:/tags/ViewTemplate $:/tags/EditTemplate",
            "text": "\\define lingo-base() $:/language/ClassicWarning/\n<$list filter=\"[all[current]type[text/x-tiddlywiki]]\">\n<div class=\"tc-message-box\">\n\n<<lingo Hint>>\n\n<$button set=\"!!type\" setTo=\"text/vnd.tiddlywiki\"><<lingo Upgrade/Caption>></$button>\n\n</div>\n</$list>\n"
        },
        "$:/core/ui/ViewTemplate/import": {
            "title": "$:/core/ui/ViewTemplate/import",
            "tags": "$:/tags/ViewTemplate",
            "text": "\\define lingo-base() $:/language/Import/\n\n\\define buttons()\n<$button message=\"tm-delete-tiddler\" param=<<currentTiddler>>><<lingo Listing/Cancel/Caption>></$button>\n<$button message=\"tm-perform-import\" param=<<currentTiddler>>><<lingo Listing/Import/Caption>></$button>\n<<lingo Listing/Preview>> <$select tiddler=\"$:/state/importpreviewtype\" default=\"$:/core/ui/ImportPreviews/Text\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ImportPreview]!has[draft.of]]\">\n<option value=<<currentTiddler>>>{{!!caption}}</option>\n</$list>\n</$select>\n\\end\n\n<$list filter=\"[all[current]field:plugin-type[import]]\">\n\n<div class=\"tc-import\">\n\n<<lingo Listing/Hint>>\n\n<<buttons>>\n\n{{||$:/core/ui/ImportListing}}\n\n<<buttons>>\n\n</div>\n\n</$list>\n"
        },
        "$:/core/ui/ViewTemplate/plugin": {
            "title": "$:/core/ui/ViewTemplate/plugin",
            "tags": "$:/tags/ViewTemplate",
            "text": "<$reveal tag=\"div\" class=\"tc-tiddler-plugin-info\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" retain=\"yes\" animate=\"yes\">\n\n<$list filter=\"[all[current]has[plugin-type]] -[all[current]field:plugin-type[import]]\">\n<$set name=\"plugin-type\" value={{!!plugin-type}}>\n<$set name=\"default-popup-state\" value=\"yes\">\n<$set name=\"qualified-state\" value=<<qualify \"$:/state/plugin-info\">>>\n{{||$:/core/ui/Components/plugin-info}}\n</$set>\n</$set>\n</$set>\n</$list>\n</$reveal>"
        },
        "$:/core/ui/ViewTemplate/subtitle": {
            "title": "$:/core/ui/ViewTemplate/subtitle",
            "tags": "$:/tags/ViewTemplate",
            "text": "\\whitespace trim\n<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" tag=\"div\" retain=\"yes\" animate=\"yes\">\n<div class=\"tc-subtitle\">\n<$link to={{!!modifier}} />\n<$view field=\"modified\" format=\"date\" template={{$:/language/Tiddler/DateFormat}}/>\n</div>\n</$reveal>\n"
        },
        "$:/core/ui/ViewTemplate/tags": {
            "title": "$:/core/ui/ViewTemplate/tags",
            "tags": "$:/tags/ViewTemplate",
            "text": "<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" tag=\"div\" retain=\"yes\" animate=\"yes\">\n<div class=\"tc-tags-wrapper\"><$list filter=\"[all[current]tags[]sort[title]]\" template=\"$:/core/ui/TagTemplate\" storyview=\"pop\"/></div>\n</$reveal>\n"
        },
        "$:/core/ui/ViewTemplate/title": {
            "title": "$:/core/ui/ViewTemplate/title",
            "tags": "$:/tags/ViewTemplate",
            "text": "\\whitespace trim\n\\define title-styles()\nfill:$(foregroundColor)$;\n\\end\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-tiddler-title\">\n<div class=\"tc-titlebar\">\n<span class=\"tc-tiddler-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\"><$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"><$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\"><$transclude tiddler=<<listItem>>/></$set></$reveal></$list>\n</span>\n<$set name=\"tv-wikilinks\" value={{$:/config/Tiddlers/TitleLinks}}>\n<$link>\n<$set name=\"foregroundColor\" value={{!!color}}>\n<$list filter=\"[all[current]has[icon]]~[[$:/config/DefaultTiddlerIcon]has[text]]\">\n<span class=\"tc-tiddler-title-icon\" style=<<title-styles>>>\n<$transclude tiddler={{!!icon}}>\n<$transclude tiddler={{$:/config/DefaultTiddlerIcon}}/>\n</$transclude>\n</span>\n</$list>\n</$set>\n<$list filter=\"[all[current]removeprefix[$:/]]\">\n<h2 class=\"tc-title\" title={{$:/language/SystemTiddler/Tooltip}}>\n<span class=\"tc-system-title-prefix\">$:/</span><$text text=<<currentTiddler>>/>\n</h2>\n</$list>\n<$list filter=\"[all[current]!prefix[$:/]]\">\n<h2 class=\"tc-title\">\n<$view field=\"title\"/>\n</h2>\n</$list>\n</$link>\n</$set>\n</div>\n\n<$reveal type=\"nomatch\" text=\"\" default=\"\" state=<<tiddlerInfoState>> class=\"tc-tiddler-info tc-popup-handle\" animate=\"yes\" retain=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfoSegment]!has[draft.of]] [[$:/core/ui/TiddlerInfo]]\" variable=\"listItem\"><$transclude tiddler=<<listItem>> mode=\"block\"/></$list>\n\n</$reveal>\n</div>"
        },
        "$:/core/ui/ViewTemplate/unfold": {
            "title": "$:/core/ui/ViewTemplate/unfold",
            "tags": "$:/tags/ViewTemplate",
            "text": "<$reveal tag=\"div\" type=\"nomatch\" state=\"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar\" text=\"hide\">\n<$reveal tag=\"div\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\" retain=\"yes\" animate=\"yes\">\n<$button tooltip={{$:/language/Buttons/Fold/Hint}} aria-label={{$:/language/Buttons/Fold/Caption}} class=\"tc-fold-banner\">\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n{{$:/core/images/chevron-up}}\n</$button>\n</$reveal>\n<$reveal tag=\"div\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"show\" default=\"show\" retain=\"yes\" animate=\"yes\">\n<$button tooltip={{$:/language/Buttons/Unfold/Hint}} aria-label={{$:/language/Buttons/Unfold/Caption}} class=\"tc-unfold-banner\">\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</$reveal>\n"
        },
        "$:/core/ui/ViewTemplate": {
            "title": "$:/core/ui/ViewTemplate",
            "text": "\\define folded-state()\n$:/state/folded/$(currentTiddler)$\n\\end\n\\define cancel-delete-tiddler-actions(message) <$action-sendmessage $message=\"tm-$message$-tiddler\"/>\n\\import [all[shadows+tiddlers]tag[$:/tags/Macro/View]!has[draft.of]]\n<$vars storyTiddler=<<currentTiddler>> tiddlerInfoState=<<qualify \"$:/state/popup/tiddler-info\">>><div data-tiddler-title=<<currentTiddler>> data-tags={{!!tags}} class={{{ tc-tiddler-frame tc-tiddler-view-frame [<currentTiddler>is[tiddler]then[tc-tiddler-exists]] [<currentTiddler>is[missing]!is[shadow]then[tc-tiddler-missing]] [<currentTiddler>is[shadow]then[tc-tiddler-exists tc-tiddler-shadow]] [<currentTiddler>is[shadow]is[tiddler]then[tc-tiddler-overridden-shadow]] [<currentTiddler>is[system]then[tc-tiddler-system]] [{!!class}] [<currentTiddler>tags[]encodeuricomponent[]addprefix[tc-tagged-]] +[join[ ]] }}}><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewTemplate]!has[draft.of]]\" variable=\"listItem\"><$transclude tiddler=<<listItem>>/></$list>\n</div>\n</$vars>\n"
        },
        "$:/core/ui/Buttons/clone": {
            "title": "$:/core/ui/Buttons/clone",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/clone-button}} {{$:/language/Buttons/Clone/Caption}}",
            "description": "{{$:/language/Buttons/Clone/Hint}}",
            "text": "\\whitespace trim\n<$button message=\"tm-new-tiddler\" param=<<currentTiddler>> tooltip={{$:/language/Buttons/Clone/Hint}} aria-label={{$:/language/Buttons/Clone/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/clone-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Clone/Caption}}/>\n</span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/close-others": {
            "title": "$:/core/ui/Buttons/close-others",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/close-others-button}} {{$:/language/Buttons/CloseOthers/Caption}}",
            "description": "{{$:/language/Buttons/CloseOthers/Hint}}",
            "text": "\\whitespace trim\n<$button message=\"tm-close-other-tiddlers\" param=<<currentTiddler>> tooltip={{$:/language/Buttons/CloseOthers/Hint}} aria-label={{$:/language/Buttons/CloseOthers/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-others-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/CloseOthers/Caption}}/>\n</span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/close": {
            "title": "$:/core/ui/Buttons/close",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/close-button}} {{$:/language/Buttons/Close/Caption}}",
            "description": "{{$:/language/Buttons/Close/Hint}}",
            "text": "\\whitespace trim\n<$button message=\"tm-close-tiddler\" tooltip={{$:/language/Buttons/Close/Hint}} aria-label={{$:/language/Buttons/Close/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Close/Caption}}/>\n</span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/edit": {
            "title": "$:/core/ui/Buttons/edit",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/edit-button}} {{$:/language/Buttons/Edit/Caption}}",
            "description": "{{$:/language/Buttons/Edit/Hint}}",
            "text": "\\whitespace trim\n<$button message=\"tm-edit-tiddler\" tooltip={{$:/language/Buttons/Edit/Hint}} aria-label={{$:/language/Buttons/Edit/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/edit-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Edit/Caption}}/>\n</span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/export-tiddler": {
            "title": "$:/core/ui/Buttons/export-tiddler",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/export-button}} {{$:/language/Buttons/ExportTiddler/Caption}}",
            "description": "{{$:/language/Buttons/ExportTiddler/Hint}}",
            "text": "\\define makeExportFilter()\n[[$(currentTiddler)$]]\n\\end\n<$macrocall $name=\"exportButton\" exportFilter=<<makeExportFilter>> lingoBase=\"$:/language/Buttons/ExportTiddler/\" baseFilename=<<currentTiddler>>/>"
        },
        "$:/core/ui/Buttons/fold-bar": {
            "title": "$:/core/ui/Buttons/fold-bar",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/chevron-up}} {{$:/language/Buttons/Fold/FoldBar/Caption}}",
            "description": "{{$:/language/Buttons/Fold/FoldBar/Hint}}",
            "text": "<!-- This dummy toolbar button is here to allow visibility of the fold-bar to be controlled as if it were a toolbar button -->"
        },
        "$:/core/ui/Buttons/fold-others": {
            "title": "$:/core/ui/Buttons/fold-others",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/fold-others-button}} {{$:/language/Buttons/FoldOthers/Caption}}",
            "description": "{{$:/language/Buttons/FoldOthers/Hint}}",
            "text": "\\whitespace trim\n<$button tooltip={{$:/language/Buttons/FoldOthers/Hint}} aria-label={{$:/language/Buttons/FoldOthers/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-other-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-others-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/FoldOthers/Caption}}/>\n</span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/fold": {
            "title": "$:/core/ui/Buttons/fold",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/fold-button}} {{$:/language/Buttons/Fold/Caption}}",
            "description": "{{$:/language/Buttons/Fold/Hint}}",
            "text": "\\whitespace trim\n<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\">\n<$button tooltip={{$:/language/Buttons/Fold/Hint}} aria-label={{$:/language/Buttons/Fold/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Fold/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"match\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\">\n<$button tooltip={{$:/language/Buttons/Unfold/Hint}} aria-label={{$:/language/Buttons/Unfold/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/unfold-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Unfold/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>\n"
        },
        "$:/core/ui/Buttons/info": {
            "title": "$:/core/ui/Buttons/info",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/info-button}} {{$:/language/Buttons/Info/Caption}}",
            "description": "{{$:/language/Buttons/Info/Hint}}",
            "text": "\\whitespace trim\n\\define button-content()\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/info-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Info/Caption}}/>\n</span>\n</$list>\n\\end\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"popup\">\n<$button popup=<<tiddlerInfoState>> tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"sticky\">\n<$reveal state=<<tiddlerInfoState>> type=\"match\" text=\"\" default=\"\">\n<$button set=<<tiddlerInfoState>> setTo=\"yes\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n<$reveal state=<<tiddlerInfoState>> type=\"nomatch\" text=\"\" default=\"\">\n<$button set=<<tiddlerInfoState>> setTo=\"\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n</$reveal>"
        },
        "$:/core/ui/Buttons/more-tiddler-actions": {
            "title": "$:/core/ui/Buttons/more-tiddler-actions",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}",
            "description": "{{$:/language/Buttons/More/Hint}}",
            "text": "\\whitespace trim\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/More/Caption}}/>\n</span>\n</$list>\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n\n<div class=\"tc-drop-down\">\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]] -[[$:/core/ui/Buttons/more-tiddler-actions]]\" variable=\"listItem\">\n\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$set>\n\n</$reveal>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</div>\n\n</$reveal>"
        },
        "$:/core/ui/Buttons/new-here": {
            "title": "$:/core/ui/Buttons/new-here",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/new-here-button}} {{$:/language/Buttons/NewHere/Caption}}",
            "description": "{{$:/language/Buttons/NewHere/Hint}}",
            "text": "\\whitespace trim\n\\define newHereActions()\n<$set name=\"tags\" filter=\"[<currentTiddler>] [{$:/config/NewTiddler/Tags}]\">\n<$action-sendmessage $message=\"tm-new-tiddler\" tags=<<tags>>/>\n</$set>\n\\end\n\\define newHereButton()\n<$button actions=<<newHereActions>> tooltip={{$:/language/Buttons/NewHere/Hint}} aria-label={{$:/language/Buttons/NewHere/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-here-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NewHere/Caption}}/>\n</span>\n</$list>\n</$button>\n\\end\n<<newHereButton>>\n"
        },
        "$:/core/ui/Buttons/new-journal-here": {
            "title": "$:/core/ui/Buttons/new-journal-here",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournalHere/Caption}}",
            "description": "{{$:/language/Buttons/NewJournalHere/Hint}}",
            "text": "\\whitespace trim\n\\define journalButtonTags()\n[[$(currentTiddlerTag)$]] $(journalTags)$\n\\end\n\\define journalButton()\n<$button tooltip={{$:/language/Buttons/NewJournalHere/Hint}} aria-label={{$:/language/Buttons/NewJournalHere/Caption}} class=<<tv-config-toolbar-class>>>\n<$wikify name=\"journalTitle\" text=\"\"\"<$macrocall $name=\"now\" format=<<journalTitleTemplate>>/>\"\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<journalButtonTags>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-journal-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NewJournalHere/Caption}}/>\n</span>\n</$list>\n</$wikify>\n</$button>\n\\end\n<$set name=\"journalTitleTemplate\" value={{$:/config/NewJournal/Title}}>\n<$set name=\"journalTags\" value={{$:/config/NewJournal/Tags}}>\n<$set name=\"currentTiddlerTag\" value=<<currentTiddler>>>\n<<journalButton>>\n</$set>\n</$set>\n</$set>\n"
        },
        "$:/core/ui/Buttons/open-window": {
            "title": "$:/core/ui/Buttons/open-window",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/open-window}} {{$:/language/Buttons/OpenWindow/Caption}}",
            "description": "{{$:/language/Buttons/OpenWindow/Hint}}",
            "text": "\\whitespace trim\n<$button message=\"tm-open-window\" tooltip={{$:/language/Buttons/OpenWindow/Hint}} aria-label={{$:/language/Buttons/OpenWindow/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/open-window}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/OpenWindow/Caption}}/>\n</span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/permalink": {
            "title": "$:/core/ui/Buttons/permalink",
            "tags": "$:/tags/ViewToolbar",
            "caption": "{{$:/core/images/permalink-button}} {{$:/language/Buttons/Permalink/Caption}}",
            "description": "{{$:/language/Buttons/Permalink/Hint}}",
            "text": "\\whitespace trim\n<$button message=\"tm-permalink\" tooltip={{$:/language/Buttons/Permalink/Hint}} aria-label={{$:/language/Buttons/Permalink/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/permalink-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Permalink/Caption}}/>\n</span>\n</$list>\n</$button>"
        },
        "$:/core/ui/Buttons/permaview": {
            "title": "$:/core/ui/Buttons/permaview",
            "tags": "$:/tags/ViewToolbar $:/tags/PageControls",
            "caption": "{{$:/core/images/permaview-button}} {{$:/language/Buttons/Permaview/Caption}}",
            "description": "{{$:/language/Buttons/Permaview/Hint}}",
            "text": "\\whitespace trim\n<$button message=\"tm-permaview\" tooltip={{$:/language/Buttons/Permaview/Hint}} aria-label={{$:/language/Buttons/Permaview/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/permaview-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Permaview/Caption}}/>\n</span>\n</$list>\n</$button>"
        },
        "$:/DefaultTiddlers": {
            "title": "$:/DefaultTiddlers",
            "text": "GettingStarted\n"
        },
        "$:/temp/advancedsearch": {
            "title": "$:/temp/advancedsearch",
            "text": ""
        },
        "$:/snippets/allfields": {
            "title": "$:/snippets/allfields",
            "text": "\\define renderfield(title)\n<tr class=\"tc-view-field\"><td class=\"tc-view-field-name\">''$title$'':</td><td class=\"tc-view-field-value\">//{{$:/language/Docs/Fields/$title$}}//</td></tr>\n\\end\n<table class=\"tc-view-field-table\"><tbody><$list filter=\"[fields[]sort[title]]\" variable=\"listItem\"><$macrocall $name=\"renderfield\" title=<<listItem>>/></$list>\n</tbody></table>\n"
        },
        "$:/config/AnimationDuration": {
            "title": "$:/config/AnimationDuration",
            "text": "400"
        },
        "$:/config/AutoFocus": {
            "title": "$:/config/AutoFocus",
            "text": "title"
        },
        "$:/config/AutoSave": {
            "title": "$:/config/AutoSave",
            "text": "yes"
        },
        "$:/config/BitmapEditor/Colour": {
            "title": "$:/config/BitmapEditor/Colour",
            "text": "#444"
        },
        "$:/config/BitmapEditor/ImageSizes": {
            "title": "$:/config/BitmapEditor/ImageSizes",
            "text": "[[62px 100px]] [[100px 62px]] [[124px 200px]] [[200px 124px]] [[248px 400px]] [[371px 600px]] [[400px 248px]] [[556px 900px]] [[600px 371px]] [[742px 1200px]] [[900px 556px]] [[1200px 742px]]"
        },
        "$:/config/BitmapEditor/LineWidth": {
            "title": "$:/config/BitmapEditor/LineWidth",
            "text": "3px"
        },
        "$:/config/BitmapEditor/LineWidths": {
            "title": "$:/config/BitmapEditor/LineWidths",
            "text": "0.25px 0.5px 1px 2px 3px 4px 6px 8px 10px 16px 20px 28px 40px 56px 80px"
        },
        "$:/config/BitmapEditor/Opacities": {
            "title": "$:/config/BitmapEditor/Opacities",
            "text": "0.01 0.025 0.05 0.075 0.1 0.15 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0"
        },
        "$:/config/BitmapEditor/Opacity": {
            "title": "$:/config/BitmapEditor/Opacity",
            "text": "1.0"
        },
        "$:/config/DefaultMoreSidebarTab": {
            "title": "$:/config/DefaultMoreSidebarTab",
            "text": "$:/core/ui/MoreSideBar/Tags"
        },
        "$:/config/DefaultSidebarTab": {
            "title": "$:/config/DefaultSidebarTab",
            "text": "$:/core/ui/SideBar/Open"
        },
        "$:/config/DownloadSaver/AutoSave": {
            "title": "$:/config/DownloadSaver/AutoSave",
            "text": "no"
        },
        "$:/config/Drafts/TypingTimeout": {
            "title": "$:/config/Drafts/TypingTimeout",
            "text": "400"
        },
        "$:/config/EditMode/fieldname-filter": {
            "title": "$:/config/EditMode/fieldname-filter",
            "first-search-filter": "[!is[shadow]!is[system]fields[]search:title<userInput>sort[]] -created -creator -draft.of -draft.title -modified -modifier -tags -text -title -type",
            "second-search-filter": "[fields[]search:title<userInput>sort[]] -[!is[shadow]!is[system]fields[]]"
        },
        "$:/config/EditTabIndex": {
            "title": "$:/config/EditTabIndex",
            "text": "1\n"
        },
        "$:/config/EditTemplateFields/Visibility/title": {
            "title": "$:/config/EditTemplateFields/Visibility/title",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/tags": {
            "title": "$:/config/EditTemplateFields/Visibility/tags",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/text": {
            "title": "$:/config/EditTemplateFields/Visibility/text",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/creator": {
            "title": "$:/config/EditTemplateFields/Visibility/creator",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/created": {
            "title": "$:/config/EditTemplateFields/Visibility/created",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/modified": {
            "title": "$:/config/EditTemplateFields/Visibility/modified",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/modifier": {
            "title": "$:/config/EditTemplateFields/Visibility/modifier",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/type": {
            "title": "$:/config/EditTemplateFields/Visibility/type",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/draft.title": {
            "title": "$:/config/EditTemplateFields/Visibility/draft.title",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/draft.of": {
            "title": "$:/config/EditTemplateFields/Visibility/draft.of",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/revision": {
            "title": "$:/config/EditTemplateFields/Visibility/revision",
            "text": "hide"
        },
        "$:/config/EditTemplateFields/Visibility/bag": {
            "title": "$:/config/EditTemplateFields/Visibility/bag",
            "text": "hide"
        },
        "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-4": {
            "title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-4",
            "text": "hide"
        },
        "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-5": {
            "title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-5",
            "text": "hide"
        },
        "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-6": {
            "title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-6",
            "text": "hide"
        },
        "$:/config/EditorTypeMappings/image/gif": {
            "title": "$:/config/EditorTypeMappings/image/gif",
            "text": "bitmap"
        },
        "$:/config/EditorTypeMappings/image/webp": {
            "title": "$:/config/EditorTypeMappings/image/webp",
            "text": "bitmap"
        },
        "$:/config/EditorTypeMappings/image/heic": {
            "title": "$:/config/EditorTypeMappings/image/heic",
            "text": "bitmap"
        },
        "$:/config/EditorTypeMappings/image/heif": {
            "title": "$:/config/EditorTypeMappings/image/heif",
            "text": "bitmap"
        },
        "$:/config/EditorTypeMappings/image/jpeg": {
            "title": "$:/config/EditorTypeMappings/image/jpeg",
            "text": "bitmap"
        },
        "$:/config/EditorTypeMappings/image/jpg": {
            "title": "$:/config/EditorTypeMappings/image/jpg",
            "text": "bitmap"
        },
        "$:/config/EditorTypeMappings/image/png": {
            "title": "$:/config/EditorTypeMappings/image/png",
            "text": "bitmap"
        },
        "$:/config/EditorTypeMappings/image/x-icon": {
            "title": "$:/config/EditorTypeMappings/image/x-icon",
            "text": "bitmap"
        },
        "$:/config/EditorTypeMappings/text/vnd.tiddlywiki": {
            "title": "$:/config/EditorTypeMappings/text/vnd.tiddlywiki",
            "text": "text"
        },
        "$:/config/Manager/Show": {
            "title": "$:/config/Manager/Show",
            "text": "tiddlers"
        },
        "$:/config/Manager/Filter": {
            "title": "$:/config/Manager/Filter",
            "text": ""
        },
        "$:/config/Manager/Order": {
            "title": "$:/config/Manager/Order",
            "text": "forward"
        },
        "$:/config/Manager/Sort": {
            "title": "$:/config/Manager/Sort",
            "text": "title"
        },
        "$:/config/Manager/System": {
            "title": "$:/config/Manager/System",
            "text": "system"
        },
        "$:/config/Manager/Tag": {
            "title": "$:/config/Manager/Tag",
            "text": ""
        },
        "$:/state/popup/manager/item/$:/Manager/ItemMain/RawText": {
            "title": "$:/state/popup/manager/item/$:/Manager/ItemMain/RawText",
            "text": "hide"
        },
        "$:/config/MissingLinks": {
            "title": "$:/config/MissingLinks",
            "text": "yes"
        },
        "$:/config/Navigation/UpdateAddressBar": {
            "title": "$:/config/Navigation/UpdateAddressBar",
            "text": "no"
        },
        "$:/config/Navigation/UpdateHistory": {
            "title": "$:/config/Navigation/UpdateHistory",
            "text": "no"
        },
        "$:/config/NewImageType": {
            "title": "$:/config/NewImageType",
            "text": "jpeg"
        },
        "$:/config/OfficialPluginLibrary": {
            "title": "$:/config/OfficialPluginLibrary",
            "tags": "$:/tags/PluginLibrary",
            "url": "https://tiddlywiki.com/library/v5.1.23/index.html",
            "caption": "{{$:/language/OfficialPluginLibrary}}",
            "text": "{{$:/language/OfficialPluginLibrary/Hint}}\n"
        },
        "$:/config/Navigation/openLinkFromInsideRiver": {
            "title": "$:/config/Navigation/openLinkFromInsideRiver",
            "text": "below"
        },
        "$:/config/Navigation/openLinkFromOutsideRiver": {
            "title": "$:/config/Navigation/openLinkFromOutsideRiver",
            "text": "top"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/close-all": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/close-all",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/encryption": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/encryption",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/export-page": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/export-page",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/fold-all": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/fold-all",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/full-screen": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/full-screen",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/home": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/home",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/refresh": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/refresh",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/import": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/import",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/language": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/language",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/tag-manager": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/tag-manager",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/manager": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/manager",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/more-page-actions": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/more-page-actions",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-journal": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-journal",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-image": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-image",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/palette": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/palette",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/permaview": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/permaview",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/print": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/print",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/storyview": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/storyview",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/timestamp": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/timestamp",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/theme": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/theme",
            "text": "hide"
        },
        "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/unfold-all": {
            "title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/unfold-all",
            "text": "hide"
        },
        "$:/config/Performance/Instrumentation": {
            "title": "$:/config/Performance/Instrumentation",
            "text": "no"
        },
        "$:/config/RegisterPluginType/plugin": {
            "title": "$:/config/RegisterPluginType/plugin",
            "text": "yes"
        },
        "$:/config/RegisterPluginType/theme": {
            "title": "$:/config/RegisterPluginType/theme",
            "text": "no"
        },
        "$:/config/RegisterPluginType/language": {
            "title": "$:/config/RegisterPluginType/language",
            "text": "no"
        },
        "$:/config/RegisterPluginType/info": {
            "title": "$:/config/RegisterPluginType/info",
            "text": "yes"
        },
        "$:/config/RegisterPluginType/import": {
            "title": "$:/config/RegisterPluginType/import",
            "text": "no"
        },
        "$:/config/SaveWikiButton/Template": {
            "title": "$:/config/SaveWikiButton/Template",
            "text": "$:/core/save/all"
        },
        "$:/config/SaverFilter": {
            "title": "$:/config/SaverFilter",
            "text": "[all[]] -[prefix[$:/HistoryList]] -[prefix[$:/StoryList]] -[status[pending]plugin-type[import]] -[[$:/isEncrypted]] -[[$:/UploadName]] -[prefix[$:/state/]] -[prefix[$:/temp/]]\n"
        },
        "$:/config/Search/AutoFocus": {
            "title": "$:/config/Search/AutoFocus",
            "text": "true"
        },
        "$:/config/Search/MinLength": {
            "title": "$:/config/Search/MinLength",
            "text": "3"
        },
        "$:/config/SearchResults/Default": {
            "title": "$:/config/SearchResults/Default",
            "text": "$:/core/ui/DefaultSearchResultList"
        },
        "$:/config/Server/ExternalFilters/[all[tiddlers]!is[system]sort[title]]": {
            "title": "$:/config/Server/ExternalFilters/[all[tiddlers]!is[system]sort[title]]",
            "text": "yes"
        },
        "$:/config/ShortcutInfo/add-field": {
            "title": "$:/config/ShortcutInfo/add-field",
            "text": "{{$:/language/EditTemplate/Fields/Add/Button/Hint}}"
        },
        "$:/config/ShortcutInfo/advanced-search": {
            "title": "$:/config/ShortcutInfo/advanced-search",
            "text": "{{$:/language/Buttons/AdvancedSearch/Hint}}"
        },
        "$:/config/ShortcutInfo/advanced-search-sidebar": {
            "title": "$:/config/ShortcutInfo/advanced-search-sidebar",
            "text": "{{$:/language/Shortcuts/Input/AdvancedSearch/Hint}}"
        },
        "$:/config/ShortcutInfo/bold": {
            "title": "$:/config/ShortcutInfo/bold",
            "text": "{{$:/language/Buttons/Bold/Hint}}"
        },
        "$:/config/ShortcutInfo/cancel-edit-tiddler": {
            "title": "$:/config/ShortcutInfo/cancel-edit-tiddler",
            "text": "{{$:/language/Buttons/Cancel/Hint}}"
        },
        "$:/config/ShortcutInfo/change-sidebar-layout": {
            "title": "$:/config/ShortcutInfo/change-sidebar-layout",
            "text": "{{$:/language/Shortcuts/SidebarLayout/Hint}}"
        },
        "$:/config/ShortcutInfo/delete-field": {
            "title": "$:/config/ShortcutInfo/delete-field",
            "text": "{{$:/language/EditTemplate/Field/Remove/Hint}}"
        },
        "$:/config/ShortcutInfo/excise": {
            "title": "$:/config/ShortcutInfo/excise",
            "text": "{{$:/language/Buttons/Excise/Hint}}"
        },
        "$:/config/ShortcutInfo/heading-1": {
            "title": "$:/config/ShortcutInfo/heading-1",
            "text": "{{$:/language/Buttons/Heading1/Hint}}"
        },
        "$:/config/ShortcutInfo/heading-2": {
            "title": "$:/config/ShortcutInfo/heading-2",
            "text": "{{$:/language/Buttons/Heading2/Hint}}"
        },
        "$:/config/ShortcutInfo/heading-3": {
            "title": "$:/config/ShortcutInfo/heading-3",
            "text": "{{$:/language/Buttons/Heading3/Hint}}"
        },
        "$:/config/ShortcutInfo/heading-4": {
            "title": "$:/config/ShortcutInfo/heading-4",
            "text": "{{$:/language/Buttons/Heading4/Hint}}"
        },
        "$:/config/ShortcutInfo/heading-5": {
            "title": "$:/config/ShortcutInfo/heading-5",
            "text": "{{$:/language/Buttons/Heading5/Hint}}"
        },
        "$:/config/ShortcutInfo/heading-6": {
            "title": "$:/config/ShortcutInfo/heading-6",
            "text": "{{$:/language/Buttons/Heading6/Hint}}"
        },
        "$:/config/ShortcutInfo/input-accept": {
            "title": "$:/config/ShortcutInfo/input-accept",
            "text": "{{$:/language/Shortcuts/Input/Accept/Hint}}"
        },
        "$:/config/ShortcutInfo/input-accept-variant": {
            "title": "$:/config/ShortcutInfo/input-accept-variant",
            "text": "{{$:/language/Shortcuts/Input/AcceptVariant/Hint}}"
        },
        "$:/config/ShortcutInfo/input-cancel": {
            "title": "$:/config/ShortcutInfo/input-cancel",
            "text": "{{$:/language/Shortcuts/Input/Cancel/Hint}}"
        },
        "$:/config/ShortcutInfo/input-down": {
            "title": "$:/config/ShortcutInfo/input-down",
            "text": "{{$:/language/Shortcuts/Input/Down/Hint}}"
        },
        "$:/config/ShortcutInfo/input-tab-left": {
            "title": "$:/config/ShortcutInfo/input-tab-left",
            "text": "{{$:/language/Shortcuts/Input/Tab-Left/Hint}}"
        },
        "$:/config/ShortcutInfo/input-tab-right": {
            "title": "$:/config/ShortcutInfo/input-tab-right",
            "text": "{{$:/language/Shortcuts/Input/Tab-Right/Hint}}"
        },
        "$:/config/ShortcutInfo/input-up": {
            "title": "$:/config/ShortcutInfo/input-up",
            "text": "{{$:/language/Shortcuts/Input/Up/Hint}}"
        },
        "$:/config/ShortcutInfo/italic": {
            "title": "$:/config/ShortcutInfo/italic",
            "text": "{{$:/language/Buttons/Italic/Hint}}"
        },
        "$:/config/ShortcutInfo/layout-switcher": {
            "title": "$:/config/ShortcutInfo/layout-switcher",
            "text": "{{$:/language/LayoutSwitcher/Description}}"
        },
        "$:/config/ShortcutInfo/link": {
            "title": "$:/config/ShortcutInfo/link",
            "text": "{{$:/language/Buttons/Link/Hint}}"
        },
        "$:/config/ShortcutInfo/linkify": {
            "title": "$:/config/ShortcutInfo/linkify",
            "text": "{{$:/language/Buttons/Linkify/Hint}}"
        },
        "$:/config/ShortcutInfo/list-bullet": {
            "title": "$:/config/ShortcutInfo/list-bullet",
            "text": "{{$:/language/Buttons/ListBullet/Hint}}"
        },
        "$:/config/ShortcutInfo/list-number": {
            "title": "$:/config/ShortcutInfo/list-number",
            "text": "{{$:/language/Buttons/ListNumber/Hint}}"
        },
        "$:/config/ShortcutInfo/mono-block": {
            "title": "$:/config/ShortcutInfo/mono-block",
            "text": "{{$:/language/Buttons/MonoBlock/Hint}}"
        },
        "$:/config/ShortcutInfo/mono-line": {
            "title": "$:/config/ShortcutInfo/mono-line",
            "text": "{{$:/language/Buttons/MonoLine/Hint}}"
        },
        "$:/config/ShortcutInfo/new-image": {
            "title": "$:/config/ShortcutInfo/new-image",
            "text": "{{$:/language/Buttons/NewImage/Hint}}"
        },
        "$:/config/ShortcutInfo/new-journal": {
            "title": "$:/config/ShortcutInfo/new-journal",
            "text": "{{$:/language/Buttons/NewJournal/Hint}}"
        },
        "$:/config/ShortcutInfo/new-tiddler": {
            "title": "$:/config/ShortcutInfo/new-tiddler",
            "text": "{{$:/language/Buttons/NewTiddler/Hint}}"
        },
        "$:/config/ShortcutInfo/picture": {
            "title": "$:/config/ShortcutInfo/picture",
            "text": "{{$:/language/Buttons/Picture/Hint}}"
        },
        "$:/config/ShortcutInfo/preview": {
            "title": "$:/config/ShortcutInfo/preview",
            "text": "{{$:/language/Buttons/Preview/Hint}}"
        },
        "$:/config/ShortcutInfo/quote": {
            "title": "$:/config/ShortcutInfo/quote",
            "text": "{{$:/language/Buttons/Quote/Hint}}"
        },
        "$:/config/ShortcutInfo/save-tiddler": {
            "title": "$:/config/ShortcutInfo/save-tiddler",
            "text": "{{$:/language/Buttons/Save/Hint}}"
        },
        "$:/config/ShortcutInfo/save-wiki": {
            "title": "$:/config/ShortcutInfo/save-wiki",
            "text": "{{$:/language/Buttons/SaveWiki/Hint}}"
        },
        "$:/config/ShortcutInfo/sidebar-search": {
            "title": "$:/config/ShortcutInfo/sidebar-search",
            "text": "{{$:/language/Buttons/SidebarSearch/Hint}}"
        },
        "$:/config/ShortcutInfo/stamp": {
            "title": "$:/config/ShortcutInfo/stamp",
            "text": "{{$:/language/Buttons/Stamp/Hint}}"
        },
        "$:/config/ShortcutInfo/strikethrough": {
            "title": "$:/config/ShortcutInfo/strikethrough",
            "text": "{{$:/language/Buttons/Strikethrough/Hint}}"
        },
        "$:/config/ShortcutInfo/subscript": {
            "title": "$:/config/ShortcutInfo/subscript",
            "text": "{{$:/language/Buttons/Subscript/Hint}}"
        },
        "$:/config/ShortcutInfo/superscript": {
            "title": "$:/config/ShortcutInfo/superscript",
            "text": "{{$:/language/Buttons/Superscript/Hint}}"
        },
        "$:/config/ShortcutInfo/toggle-sidebar": {
            "title": "$:/config/ShortcutInfo/toggle-sidebar",
            "text": "{{$:/language/Buttons/ToggleSidebar/Hint}}"
        },
        "$:/config/ShortcutInfo/transcludify": {
            "title": "$:/config/ShortcutInfo/transcludify",
            "text": "{{$:/language/Buttons/Transcludify/Hint}}"
        },
        "$:/config/ShortcutInfo/underline": {
            "title": "$:/config/ShortcutInfo/underline",
            "text": "{{$:/language/Buttons/Underline/Hint}}"
        },
        "$:/config/SwitcherTargets/layout": {
            "title": "$:/config/SwitcherTargets/layout",
            "text": "$:/snippets/LayoutSwitcher"
        },
        "$:/config/SwitcherTargets/language": {
            "title": "$:/config/SwitcherTargets/language",
            "text": "$:/snippets/languageswitcher"
        },
        "$:/config/SwitcherTargets/palette": {
            "title": "$:/config/SwitcherTargets/palette",
            "text": "$:/core/ui/ControlPanel/Palette"
        },
        "$:/config/SwitcherTargets/theme": {
            "title": "$:/config/SwitcherTargets/theme",
            "text": "$:/core/ui/ControlPanel/Theme"
        },
        "$:/config/SyncFilter": {
            "title": "$:/config/SyncFilter",
            "text": "[is[tiddler]] -[[$:/core]] -[[$:/library/sjcl.js]] -[prefix[$:/boot/]] -[prefix[$:/HistoryList]] -[status[pending]plugin-type[import]] -[[$:/isEncrypted]] -[prefix[$:/status/]] -[prefix[$:/state/]] -[prefix[$:/temp/]]\n"
        },
        "$:/config/SyncSystemTiddlersFromServer": {
            "title": "$:/config/SyncSystemTiddlersFromServer",
            "text": "no"
        },
        "$:/config/Tags/MinLength": {
            "title": "$:/config/Tags/MinLength",
            "text": "0"
        },
        "$:/config/TextEditor/EditorHeight/Height": {
            "title": "$:/config/TextEditor/EditorHeight/Height",
            "text": "400px"
        },
        "$:/config/TextEditor/EditorHeight/Mode": {
            "title": "$:/config/TextEditor/EditorHeight/Mode",
            "text": "auto"
        },
        "$:/config/TiddlerInfo/Default": {
            "title": "$:/config/TiddlerInfo/Default",
            "text": "$:/core/ui/TiddlerInfo/Fields"
        },
        "$:/config/TiddlerInfo/Mode": {
            "title": "$:/config/TiddlerInfo/Mode",
            "text": "popup"
        },
        "$:/config/Tiddlers/TitleLinks": {
            "title": "$:/config/Tiddlers/TitleLinks",
            "text": "no"
        },
        "$:/config/Toolbar/ButtonClass": {
            "title": "$:/config/Toolbar/ButtonClass",
            "text": "tc-btn-invisible"
        },
        "$:/config/Toolbar/Icons": {
            "title": "$:/config/Toolbar/Icons",
            "text": "yes"
        },
        "$:/config/Toolbar/Text": {
            "title": "$:/config/Toolbar/Text",
            "text": "no"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/clone": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/clone",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/close-others": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/close-others",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/export-tiddler": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/export-tiddler",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/info": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/info",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/more-tiddler-actions": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/more-tiddler-actions",
            "text": "show"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-here": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-here",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-journal-here": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-journal-here",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/open-window": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/open-window",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permalink": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permalink",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permaview": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permaview",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/delete": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/delete",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-others": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-others",
            "text": "hide"
        },
        "$:/config/shortcuts-mac/bold": {
            "title": "$:/config/shortcuts-mac/bold",
            "text": "meta-B"
        },
        "$:/config/shortcuts-mac/input-tab-left": {
            "title": "$:/config/shortcuts-mac/input-tab-left",
            "text": "ctrl-Left"
        },
        "$:/config/shortcuts-mac/input-tab-right": {
            "title": "$:/config/shortcuts-mac/input-tab-right",
            "text": "ctrl-Right"
        },
        "$:/config/shortcuts-mac/italic": {
            "title": "$:/config/shortcuts-mac/italic",
            "text": "meta-I"
        },
        "$:/config/shortcuts-mac/underline": {
            "title": "$:/config/shortcuts-mac/underline",
            "text": "meta-U"
        },
        "$:/config/shortcuts-mac/new-image": {
            "title": "$:/config/shortcuts-mac/new-image",
            "text": "ctrl-I"
        },
        "$:/config/shortcuts-mac/new-journal": {
            "title": "$:/config/shortcuts-mac/new-journal",
            "text": "ctrl-J"
        },
        "$:/config/shortcuts-mac/new-tiddler": {
            "title": "$:/config/shortcuts-mac/new-tiddler",
            "text": "ctrl-N"
        },
        "$:/config/shortcuts-mac/save-wiki": {
            "title": "$:/config/shortcuts-mac/save-wiki",
            "text": "meta-S"
        },
        "$:/config/shortcuts-not-mac/bold": {
            "title": "$:/config/shortcuts-not-mac/bold",
            "text": "ctrl-B"
        },
        "$:/config/shortcuts-not-mac/italic": {
            "title": "$:/config/shortcuts-not-mac/italic",
            "text": "ctrl-I"
        },
        "$:/config/shortcuts-not-mac/underline": {
            "title": "$:/config/shortcuts-not-mac/underline",
            "text": "ctrl-U"
        },
        "$:/config/shortcuts-not-mac/new-image": {
            "title": "$:/config/shortcuts-not-mac/new-image",
            "text": "alt-I"
        },
        "$:/config/shortcuts-not-mac/new-journal": {
            "title": "$:/config/shortcuts-not-mac/new-journal",
            "text": "alt-J"
        },
        "$:/config/shortcuts-not-mac/new-tiddler": {
            "title": "$:/config/shortcuts-not-mac/new-tiddler",
            "text": "alt-N"
        },
        "$:/config/shortcuts/add-field": {
            "title": "$:/config/shortcuts/add-field",
            "text": "enter"
        },
        "$:/config/shortcuts/advanced-search": {
            "title": "$:/config/shortcuts/advanced-search",
            "text": "ctrl-shift-A"
        },
        "$:/config/shortcuts/advanced-search-sidebar": {
            "title": "$:/config/shortcuts/advanced-search-sidebar",
            "text": "alt-Enter"
        },
        "$:/config/shortcuts/cancel-edit-tiddler": {
            "title": "$:/config/shortcuts/cancel-edit-tiddler",
            "text": "escape"
        },
        "$:/config/shortcuts/change-sidebar-layout": {
            "title": "$:/config/shortcuts/change-sidebar-layout",
            "text": "shift-alt-Down"
        },
        "$:/config/shortcuts/delete-field": {
            "title": "$:/config/shortcuts/delete-field",
            "text": "shift-alt-D"
        },
        "$:/config/shortcuts/excise": {
            "title": "$:/config/shortcuts/excise",
            "text": "ctrl-E"
        },
        "$:/config/shortcuts/sidebar-search": {
            "title": "$:/config/shortcuts/sidebar-search",
            "text": "ctrl-shift-F"
        },
        "$:/config/shortcuts/heading-1": {
            "title": "$:/config/shortcuts/heading-1",
            "text": "ctrl-1"
        },
        "$:/config/shortcuts/heading-2": {
            "title": "$:/config/shortcuts/heading-2",
            "text": "ctrl-2"
        },
        "$:/config/shortcuts/heading-3": {
            "title": "$:/config/shortcuts/heading-3",
            "text": "ctrl-3"
        },
        "$:/config/shortcuts/heading-4": {
            "title": "$:/config/shortcuts/heading-4",
            "text": "ctrl-4"
        },
        "$:/config/shortcuts/heading-5": {
            "title": "$:/config/shortcuts/heading-5",
            "text": "ctrl-5"
        },
        "$:/config/shortcuts/heading-6": {
            "title": "$:/config/shortcuts/heading-6",
            "text": "ctrl-6"
        },
        "$:/config/shortcuts/input-accept": {
            "title": "$:/config/shortcuts/input-accept",
            "text": "Enter"
        },
        "$:/config/shortcuts/input-accept-variant": {
            "title": "$:/config/shortcuts/input-accept-variant",
            "text": "ctrl-Enter"
        },
        "$:/config/shortcuts/input-cancel": {
            "title": "$:/config/shortcuts/input-cancel",
            "text": "Escape"
        },
        "$:/config/shortcuts/input-down": {
            "title": "$:/config/shortcuts/input-down",
            "text": "Down"
        },
        "$:/config/shortcuts/input-tab-left": {
            "title": "$:/config/shortcuts/input-tab-left",
            "text": "alt-Left"
        },
        "$:/config/shortcuts/input-tab-right": {
            "title": "$:/config/shortcuts/input-tab-right",
            "text": "alt-Right"
        },
        "$:/config/shortcuts/input-up": {
            "title": "$:/config/shortcuts/input-up",
            "text": "Up"
        },
        "$:/config/shortcuts/layout-switcher": {
            "title": "$:/config/shortcuts/layout-switcher",
            "text": "ctrl-shift-L"
        },
        "$:/config/shortcuts/link": {
            "title": "$:/config/shortcuts/link",
            "text": "ctrl-L"
        },
        "$:/config/shortcuts/linkify": {
            "title": "$:/config/shortcuts/linkify",
            "text": "alt-shift-L"
        },
        "$:/config/shortcuts/list-bullet": {
            "title": "$:/config/shortcuts/list-bullet",
            "text": "ctrl-shift-L"
        },
        "$:/config/shortcuts/list-number": {
            "title": "$:/config/shortcuts/list-number",
            "text": "ctrl-shift-N"
        },
        "$:/config/shortcuts/mono-block": {
            "title": "$:/config/shortcuts/mono-block",
            "text": "ctrl-shift-M"
        },
        "$:/config/shortcuts/mono-line": {
            "title": "$:/config/shortcuts/mono-line",
            "text": "ctrl-M"
        },
        "$:/config/shortcuts/picture": {
            "title": "$:/config/shortcuts/picture",
            "text": "ctrl-shift-I"
        },
        "$:/config/shortcuts/preview": {
            "title": "$:/config/shortcuts/preview",
            "text": "alt-P"
        },
        "$:/config/shortcuts/quote": {
            "title": "$:/config/shortcuts/quote",
            "text": "ctrl-Q"
        },
        "$:/config/shortcuts/save-tiddler": {
            "title": "$:/config/shortcuts/save-tiddler",
            "text": "ctrl+enter"
        },
        "$:/config/shortcuts/save-wiki": {
            "title": "$:/config/shortcuts/save-wiki",
            "text": "ctrl-S"
        },
        "$:/config/shortcuts/stamp": {
            "title": "$:/config/shortcuts/stamp",
            "text": "ctrl-S"
        },
        "$:/config/shortcuts/strikethrough": {
            "title": "$:/config/shortcuts/strikethrough",
            "text": "ctrl-T"
        },
        "$:/config/shortcuts/subscript": {
            "title": "$:/config/shortcuts/subscript",
            "text": "ctrl-shift-B"
        },
        "$:/config/shortcuts/superscript": {
            "title": "$:/config/shortcuts/superscript",
            "text": "ctrl-shift-P"
        },
        "$:/config/shortcuts/toggle-sidebar": {
            "title": "$:/config/shortcuts/toggle-sidebar",
            "text": "alt-shift-S"
        },
        "$:/config/shortcuts/transcludify": {
            "title": "$:/config/shortcuts/transcludify",
            "text": "alt-shift-T"
        },
        "$:/config/ui/EditTemplate": {
            "title": "$:/config/ui/EditTemplate",
            "text": "$:/core/ui/EditTemplate"
        },
        "$:/config/ui/ViewTemplate": {
            "title": "$:/config/ui/ViewTemplate",
            "text": "$:/core/ui/ViewTemplate"
        },
        "$:/config/WikiParserRules/Inline/wikilink": {
            "title": "$:/config/WikiParserRules/Inline/wikilink",
            "text": "enable"
        },
        "$:/snippets/currpalettepreview": {
            "title": "$:/snippets/currpalettepreview",
            "text": "\\define resolve-colour(macrocall)\n\\import $:/core/macros/utils\n\\whitespace trim\n<$wikify name=\"name\" text=\"\"\"$macrocall$\"\"\">\n<<name>>\n</$wikify>\n\\end\n\\define swatchStyle()\nbackground-color: $(swatchColour)$;\n\\end\n\\define swatch-inner()\n<$set name=\"swatchColour\" value={{##$(colourResolved)$}}>\n<$list filter=\"[<swatchColour>!prefix[<<colour ]!suffix[>>]]\" variable=\"ignore\">\n<div class=\"tc-swatch\" style=<<swatchStyle>> title=<<swatchTitle>>/>\n</$list>\n<$list filter=\"[<swatchColour>prefix[<<colour ]suffix[>>]]\" variable=\"ignore\">\n<$wikify name=\"colourResolved\" text=\"\"\"<$macrocall $name=\"resolve-colour\" macrocall=<<swatchColour>>/>\"\"\">\n<<swatch-inner>>\n</$wikify>\n</$list>\n</$set>\n\\end\n\\define swatch()\n<$set name=\"swatchColour\" value={{##$(colour)$}}>\n<$set name=\"swatchTitle\" value=<<colour>>>\n<$list filter=\"[<swatchColour>!prefix[<<colour ]!suffix[>>]]\" variable=\"ignore\">\n<div class=\"tc-swatch\" style=<<swatchStyle>> title=<<swatchTitle>>/>\n</$list>\n<$list filter=\"[<swatchColour>prefix[<<colour ]suffix[>>]]\" variable=\"ignore\">\n<$wikify name=\"colourResolved\" text=\"\"\"<$macrocall $name=\"resolve-colour\" macrocall=<<swatchColour>>/>\"\"\">\n<<swatch-inner>>\n</$wikify>\n</$list>\n</$set>\n</$set>\n\\end\n<div class=\"tc-swatches-horiz\"><$list filter=\"\nforeground\nbackground\nmuted-foreground\nprimary\npage-background\ntab-background\ntiddler-info-background\n\" variable=\"colour\"><<swatch>></$list></div>\n"
        },
        "$:/snippets/download-wiki-button": {
            "title": "$:/snippets/download-wiki-button",
            "text": "\\define lingo-base() $:/language/ControlPanel/Tools/Download/\n<$button class=\"tc-btn-big-green\">\n<$action-sendmessage $message=\"tm-download-file\" $param=\"$:/core/save/all\" filename=\"index.html\"/>\n<<lingo Full/Caption>> {{$:/core/images/save-button}}\n</$button>"
        },
        "$:/language": {
            "title": "$:/language",
            "text": "$:/languages/en-GB"
        },
        "$:/snippets/languageswitcher": {
            "title": "$:/snippets/languageswitcher",
            "text": "\\define flag-title()\n$(languagePluginTitle)$/icon\n\\end\n\n<$linkcatcher to=\"$:/language\">\n<div class=\"tc-chooser tc-language-chooser\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[description]]\">\n<$set name=\"cls\" filter=\"[all[current]field:title{$:/language}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>>\n<$link>\n<span class=\"tc-image-button\">\n<$set name=\"languagePluginTitle\" value=<<currentTiddler>>>\n<$transclude subtiddler=<<flag-title>>>\n<$list filter=\"[all[current]field:title[$:/languages/en-GB]]\">\n<$transclude tiddler=\"$:/languages/en-GB/icon\"/>\n</$list>\n</$transclude>\n</$set>\n</span>\n<$view field=\"description\">\n<$view field=\"name\">\n<$view field=\"title\"/>\n</$view>\n</$view>\n</$link>\n</div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"
        },
        "$:/core/macros/CSS": {
            "title": "$:/core/macros/CSS",
            "tags": "$:/tags/Macro",
            "text": "\\define colour(name)\n<$transclude tiddler={{$:/palette}} index=\"$name$\"><$transclude tiddler=\"$:/palettes/Vanilla\" index=\"$name$\"><$transclude tiddler=\"$:/config/DefaultColourMappings/$name$\"/></$transclude></$transclude>\n\\end\n\n\\define color(name)\n<<colour $name$>>\n\\end\n\n\\define box-shadow(shadow)\n``\n  -webkit-box-shadow: $shadow$;\n     -moz-box-shadow: $shadow$;\n          box-shadow: $shadow$;\n``\n\\end\n\n\\define filter(filter)\n``\n  -webkit-filter: $filter$;\n     -moz-filter: $filter$;\n          filter: $filter$;\n``\n\\end\n\n\\define transition(transition)\n``\n  -webkit-transition: $transition$;\n     -moz-transition: $transition$;\n          transition: $transition$;\n``\n\\end\n\n\\define transform-origin(origin)\n``\n  -webkit-transform-origin: $origin$;\n     -moz-transform-origin: $origin$;\n          transform-origin: $origin$;\n``\n\\end\n\n\\define background-linear-gradient(gradient)\n``\nbackground-image: linear-gradient($gradient$);\nbackground-image: -o-linear-gradient($gradient$);\nbackground-image: -moz-linear-gradient($gradient$);\nbackground-image: -webkit-linear-gradient($gradient$);\nbackground-image: -ms-linear-gradient($gradient$);\n``\n\\end\n\n\\define column-count(columns)\n``\n-moz-column-count: $columns$;\n-webkit-column-count: $columns$;\ncolumn-count: $columns$;\n``\n\\end\n\n\\define datauri(title)\n<$macrocall $name=\"makedatauri\" type={{$title$!!type}} text={{$title$}} _canonical_uri={{$title$!!_canonical_uri}}/>\n\\end\n\n\\define if-sidebar(text)\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\">$text$</$reveal>\n\\end\n\n\\define if-no-sidebar(text)\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"yes\" default=\"yes\">$text$</$reveal>\n\\end\n\n\\define if-background-attachment(text)\n<$reveal state=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\" type=\"nomatch\" text=\"\">$text$</$reveal>\n\\end\n"
        },
        "$:/core/macros/colour-picker": {
            "title": "$:/core/macros/colour-picker",
            "tags": "$:/tags/Macro",
            "text": "\\define colour-picker-update-recent()\n<$action-listops\n\t$tiddler=\"$:/config/ColourPicker/Recent\"\n\t$subfilter=\"$(colour-picker-value)$ [list[$:/config/ColourPicker/Recent]remove[$(colour-picker-value)$]] +[limit[8]]\"\n/>\n\\end\n\n\\define colour-picker-inner(actions)\n<$button tag=\"a\" tooltip=\"\"\"$(colour-picker-value)$\"\"\">\n\n$(colour-picker-update-recent)$\n\n$actions$\n\n<span style=\"display:inline-block; background-color: $(colour-picker-value)$; width: 100%; height: 100%; border-radius: 50%;\"/>\n\n</$button>\n\\end\n\n\\define colour-picker-recent-inner(actions)\n<$set name=\"colour-picker-value\" value=\"$(recentColour)$\">\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$set>\n\\end\n\n\\define colour-picker-recent(actions)\n{{$:/language/ColourPicker/Recent}} <$list filter=\"[list[$:/config/ColourPicker/Recent]]\" variable=\"recentColour\">\n<$macrocall $name=\"colour-picker-recent-inner\" actions=\"\"\"$actions$\"\"\"/></$list>\n\\end\n\n\\define colour-picker(actions)\n<div class=\"tc-colour-chooser\">\n\n<$macrocall $name=\"colour-picker-recent\" actions=\"\"\"$actions$\"\"\"/>\n\n---\n\n<$list filter=\"LightPink Pink Crimson LavenderBlush PaleVioletRed HotPink DeepPink MediumVioletRed Orchid Thistle Plum Violet Magenta Fuchsia DarkMagenta Purple MediumOrchid DarkViolet DarkOrchid Indigo BlueViolet MediumPurple MediumSlateBlue SlateBlue DarkSlateBlue Lavender GhostWhite Blue MediumBlue MidnightBlue DarkBlue Navy RoyalBlue CornflowerBlue LightSteelBlue LightSlateGrey SlateGrey DodgerBlue AliceBlue SteelBlue LightSkyBlue SkyBlue DeepSkyBlue LightBlue PowderBlue CadetBlue Azure LightCyan PaleTurquoise Cyan Aqua DarkTurquoise DarkSlateGrey DarkCyan Teal MediumTurquoise LightSeaGreen Turquoise Aquamarine MediumAquamarine MediumSpringGreen MintCream SpringGreen MediumSeaGreen SeaGreen Honeydew LightGreen PaleGreen DarkSeaGreen LimeGreen Lime ForestGreen Green DarkGreen Chartreuse LawnGreen GreenYellow DarkOliveGreen YellowGreen OliveDrab Beige LightGoldenrodYellow Ivory LightYellow Yellow Olive DarkKhaki LemonChiffon PaleGoldenrod Khaki Gold Cornsilk Goldenrod DarkGoldenrod FloralWhite OldLace Wheat Moccasin Orange PapayaWhip BlanchedAlmond NavajoWhite AntiqueWhite Tan BurlyWood Bisque DarkOrange Linen Peru PeachPuff SandyBrown Chocolate SaddleBrown Seashell Sienna LightSalmon Coral OrangeRed DarkSalmon Tomato MistyRose Salmon Snow LightCoral RosyBrown IndianRed Red Brown FireBrick DarkRed Maroon White WhiteSmoke Gainsboro LightGrey Silver DarkGrey Grey DimGrey Black\" variable=\"colour-picker-value\">\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$list>\n\n---\n\n<$edit-text tiddler=\"$:/config/ColourPicker/New\" tag=\"input\" default=\"\" placeholder=\"\"/>\n<$edit-text tiddler=\"$:/config/ColourPicker/New\" type=\"color\" tag=\"input\"/>\n<$set name=\"colour-picker-value\" value={{$:/config/ColourPicker/New}}>\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$set>\n\n</div>\n\n\\end\n"
        },
        "$:/core/macros/copy-to-clipboard": {
            "title": "$:/core/macros/copy-to-clipboard",
            "tags": "$:/tags/Macro",
            "text": "\\define copy-to-clipboard(src,class:\"tc-btn-invisible\",style)\n<$button class=<<__class__>> style=<<__style__>> message=\"tm-copy-to-clipboard\" param=<<__src__>> tooltip={{$:/language/Buttons/CopyToClipboard/Hint}}>\n{{$:/core/images/copy-clipboard}} <$text text={{$:/language/Buttons/CopyToClipboard/Caption}}/>\n</$button>\n\\end\n\n\\define copy-to-clipboard-above-right(src,class:\"tc-btn-invisible\",style)\n<div style=\"position: relative;\">\n<div style=\"position: absolute; bottom: 0; right: 0;\">\n<$macrocall $name=\"copy-to-clipboard\" src=<<__src__>> class=<<__class__>> style=<<__style__>>/>\n</div>\n</div>\n\\end\n\n"
        },
        "$:/core/macros/diff": {
            "title": "$:/core/macros/diff",
            "tags": "$:/tags/Macro",
            "text": "\\define compareTiddlerText(sourceTiddlerTitle,sourceSubTiddlerTitle,destTiddlerTitle,destSubTiddlerTitle)\n<$set name=\"source\" tiddler=<<__sourceTiddlerTitle__>> subtiddler=<<__sourceSubTiddlerTitle__>>>\n<$set name=\"dest\" tiddler=<<__destTiddlerTitle__>> subtiddler=<<__destSubTiddlerTitle__>>>\n<$diff-text source=<<source>> dest=<<dest>>/>\n</$set>\n</$set>\n\\end\n\n\\define compareTiddlers(sourceTiddlerTitle,sourceSubTiddlerTitle,destTiddlerTitle,destSubTiddlerTitle,exclude)\n<table class=\"tc-diff-tiddlers\">\n<tbody>\n<$set name=\"sourceFields\" filter=\"[<__sourceTiddlerTitle__>fields[]sort[]]\">\n<$set name=\"destFields\" filter=\"[<__destSubTiddlerTitle__>subtiddlerfields<__destTiddlerTitle__>sort[]]\">\n<$list filter=\"[enlist<sourceFields>] [enlist<destFields>] -[enlist<__exclude__>] +[sort[]]\" variable=\"fieldName\">\n<tr>\n<th>\n<$text text=<<fieldName>>/> \n</th>\n<td>\n<$set name=\"source\" tiddler=<<__sourceTiddlerTitle__>> subtiddler=<<__sourceSubTiddlerTitle__>> field=<<fieldName>>>\n<$set name=\"dest\" tiddler=<<__destTiddlerTitle__>> subtiddler=<<__destSubTiddlerTitle__>> field=<<fieldName>>>\n<$diff-text source=<<source>> dest=<<dest>>>\n</$diff-text>\n</$set>\n</$set>\n</td>\n</tr>\n</$list>\n</$set>\n</$set>\n</tbody>\n</table>\n\\end\n"
        },
        "$:/core/macros/dumpvariables": {
            "title": "$:/core/macros/dumpvariables",
            "tags": "$:/tags/Macro",
            "text": "\\define dumpvariables()\n<ul>\n<$list filter=\"[variables[]]\" variable=\"varname\">\n<li>\n<strong><code><$text text=<<varname>>/></code></strong>:<br/>\n<$codeblock code={{{ [<varname>getvariable[]] }}}/>\n</li>\n</$list>\n</ul>\n\\end\n"
        },
        "$:/core/macros/export": {
            "title": "$:/core/macros/export",
            "tags": "$:/tags/Macro",
            "text": "\\define exportButtonFilename(baseFilename)\n$baseFilename$$(extension)$\n\\end\n\n\\define exportButton(exportFilter:\"[!is[system]sort[title]]\",lingoBase,baseFilename:\"tiddlers\")\n<span class=\"tc-popup-keep\"><$button popup=<<qualify \"$:/state/popup/export\">> tooltip={{$lingoBase$Hint}} aria-label={{$lingoBase$Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/export-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$lingoBase$Caption}}/></span>\n</$list>\n</$button></span><$reveal state=<<qualify \"$:/state/popup/export\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$set name=\"count\" value={{{ [subfilter<__exportFilter__>count[]] }}}>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Exporter]]\">\n<$list filter=\"[<currentTiddler>has[condition]subfilter{!!condition}limit[1]] ~[<currentTiddler>!has[condition]then[true]]\" variable=\"ignore\">\n<$set name=\"extension\" value={{!!extension}}>\n<$button class=\"tc-btn-invisible\">\n<$action-sendmessage $message=\"tm-download-file\" $param=<<currentTiddler>> exportFilter=<<__exportFilter__>> filename=<<exportButtonFilename \"\"\"$baseFilename$\"\"\">>/>\n<$action-deletetiddler $tiddler=<<qualify \"$:/state/popup/export\">>/>\n<$transclude field=\"description\"/>\n</$button>\n</$set>\n</$list>\n</$list>\n</$set>\n</div>\n</$reveal>\n\\end\n"
        },
        "$:/core/macros/image-picker": {
            "title": "$:/core/macros/image-picker",
            "created": "20170715180840889",
            "modified": "20170715180914005",
            "tags": "$:/tags/Macro",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define image-picker-thumbnail(actions)\n<$button tag=\"a\" tooltip=\"\"\"$(imageTitle)$\"\"\">\n$actions$\n<$transclude tiddler=<<imageTitle>>/>\n</$button>\n\\end\n\n\\define image-picker-list(filter,actions)\n<$list filter=\"\"\"$filter$\"\"\" variable=\"imageTitle\">\n<$macrocall $name=\"image-picker-thumbnail\" actions=\"\"\"$actions$\"\"\"/>\n</$list>\n\\end\n\n\\define image-picker(actions,filter:\"[all[shadows+tiddlers]is[image]] -[type[application/pdf]] +[!has[draft.of]$subfilter$sort[title]]\",subfilter:\"\")\n<div class=\"tc-image-chooser\">\n<$vars state-system=<<qualify \"$:/state/image-picker/system\">>>\n<$checkbox tiddler=<<state-system>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"hide\">\n{{$:/language/SystemTiddlers/Include/Prompt}}\n</$checkbox>\n<$reveal state=<<state-system>> type=\"match\" text=\"hide\" default=\"hide\" tag=\"div\">\n<$macrocall $name=\"image-picker-list\" filter=\"\"\"$filter$ +[!is[system]]\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</$reveal>\n<$reveal state=<<state-system>> type=\"nomatch\" text=\"hide\" default=\"hide\" tag=\"div\">\n<$macrocall $name=\"image-picker-list\" filter=\"\"\"$filter$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</$reveal>\n</$vars>\n</div>\n\\end\n\n\\define image-picker-include-tagged-images(actions)\n<$macrocall $name=\"image-picker\" filter=\"[all[shadows+tiddlers]is[image]] [all[shadows+tiddlers]tag[$:/tags/Image]] -[type[application/pdf]] +[!has[draft.of]sort[title]]\" actions=\"\"\"$actions$\"\"\"/>\n\\end\n"
        },
        "$:/core/macros/keyboard-driven-input": {
            "title": "$:/core/macros/keyboard-driven-input",
            "tags": "$:/tags/Macro",
            "text": "\\define change-input-tab(stateTitle,tag,beforeafter,defaultState,actions)\n<$set name=\"tabsList\" filter=\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]]\">\n<$vars currentState={{{ [<__stateTitle__>!is[missing]get[text]] ~[<__defaultState__>] }}} firstTab={{{ [enlist<tabsList>nth[1]] }}} lastTab={{{ [enlist<tabsList>last[]] }}}>\n<$set name=\"nextTab\" value={{{ [all[shadows+tiddlers]tag<__tag__>!has[draft.of]$beforeafter$<currentState>] ~[[$beforeafter$]removeprefix[after]suffix[]addprefix<firstTab>] ~[[$beforeafter$]removeprefix[before]suffix[]addprefix<lastTab>] }}}>\n<$action-setfield $tiddler=<<__stateTitle__>> text=<<nextTab>>/>\n$actions$\n</$set>\n</$vars>\n</$set>\n\\end\n\n\\define keyboard-input-actions()\n<$list filter=\"[<__index__>match[]]\">\n<$action-setfield $tiddler=<<__storeTitle__>> text={{{ [<__tiddler__>get<__field__>] }}}/>\n</$list>\n<$list filter=\"[<__index__>!match[]]\">\n<$action-setfield $tiddler=<<__storeTitle__>> text={{{ [<__tiddler__>getindex<__index__>] }}}/>\n</$list>\n\\end\n\n\\define input-next-actions-inner()\n<$list filter=\"[<nextItem>minlength[1]]\" variable=\"ignore\">\n<$action-setfield $tiddler=<<__selectionStateTitle__>> text=<<nextItem>>/>\n<$list filter=\"[<__index__>match[]]\">\n<$action-setfield $tiddler=<<__tiddler__>> $field=<<__field__>> $value={{{ [<nextItem>] +[splitregexp[(?:.(?!-))+$]] }}}/>\n</$list>\n<$list filter=\"[<__index__>!match[]]\">\n<$action-setfield $tiddler=<<__tiddler__>> $index=<<__index__>> $value={{{ [<nextItem>] +[splitregexp[(?:.(?!-))+$]] }}}/>\n</$list>\n<$action-setfield $tiddler=<<__refreshTitle__>> text=\"yes\"/>\n</$list>\n\\end\n\n\\define input-next-actions(afterOrBefore:\"after\",reverse:\"\")\n<$list filter=\"[<__storeTitle__>get[text]minlength<__filterMinLength__>] [<__filterMinLength__>match[0]] +[limit[1]]\" variable=\"ignore\">\n<$vars userInput={{{ [<__storeTitle__>get[text]] }}} selectedItem={{{ [<__selectionStateTitle__>get[text]] }}}>\n<$set name=\"configTiddler\" value={{{ [subfilter<__configTiddlerFilter__>] }}}>\n<$vars primaryListFilter={{{ [<configTiddler>get<__firstSearchFilterField__>] }}} secondaryListFilter={{{ [<configTiddler>get<__secondSearchFilterField__>] }}}>\n<$set name=\"filteredList\" filter=\"[subfilter<primaryListFilter>addsuffix[-primaryList]] =[subfilter<secondaryListFilter>addsuffix[-secondaryList]]\">\n<$vars nextItem={{{ [enlist<filteredList>$afterOrBefore$<selectedItem>] ~[enlist<filteredList>$reverse$nth[1]] }}} firstItem={{{ [enlist<filteredList>nth[1]] }}} lastItem={{{ [enlist<filteredList>last[]] }}}>\n<$list filter=\"[<selectedItem>match<firstItem>!match<lastItem>]\" variable=\"ignore\">\n<$set name=\"nextItem\" value={{{ [[$afterOrBefore$]match[before]then<userInput>addsuffix[-userInput]] ~[<nextItem>] }}}>\n<<input-next-actions-inner>>\n</$set>\n</$list>\n<$list filter=\"[<selectedItem>match<lastItem>!match<firstItem>]\" variable=\"ignore\">\n<$set name=\"nextItem\" value={{{ [[$afterOrBefore$]match[after]then<userInput>addsuffix[-userInput]] ~[<nextItem>] }}}>\n<<input-next-actions-inner>>\n</$set>\n</$list>\n<$list filter=\"[<selectedItem>match<firstItem>match<lastItem>]\" variable=\"ignore\">\n<$set name=\"nextItem\" value={{{ [<userInput>addsuffix[-userInput]] }}}>\n<<input-next-actions-inner>>\n</$set>\n</$list>\n<$list filter=\"[<selectedItem>!match<firstItem>!match<lastItem>]\" variable=\"ignore\">\n<<input-next-actions-inner>>\n</$list>\n</$vars>\n</$set>\n</$vars>\n</$set>\n</$vars>\n</$list>\n\\end\n\n\\define keyboard-driven-input(tiddler,storeTitle,field:\"text\",index:\"\",tag:\"input\",type,focus:\"\",inputAcceptActions,inputAcceptVariantActions,inputCancelActions,placeholder:\"\",default:\"\",class,focusPopup,rows,minHeight,tabindex,size,autoHeight,filterMinLength:\"0\",refreshTitle,selectionStateTitle,cancelPopups:\"\",configTiddlerFilter,firstSearchFilterField:\"first-search-filter\",secondSearchFilterField:\"second-search-filter\")\n\\whitespace trim\n<$keyboard key=\"((input-accept))\" actions=<<__inputAcceptActions__>>>\n<$keyboard key=\"((input-accept-variant))\" actions=<<__inputAcceptVariantActions__>>>\n<$keyboard key=\"((input-up))\" actions=<<input-next-actions \"before\" \"reverse[]\">>>\n<$keyboard key=\"((input-down))\" actions=<<input-next-actions>>>\n<$keyboard key=\"((input-cancel))\" actions=<<__inputCancelActions__>>>\n<$edit-text tiddler=<<__tiddler__>> field=<<__field__>> index=<<__index__>> \n\t\tinputActions=<<keyboard-input-actions>> tag=<<__tag__>> class=<<__class__>> \n\t\tplaceholder=<<__placeholder__>> default=<<__default__>> focusPopup=<<__focusPopup__>> \n\t\tfocus=<<__focus__>> type=<<__type__>> rows=<<__rows__>> minHeight=<<__minHeight__>> \n\t\ttabindex=<<__tabindex__>> size=<<__size__>> autoHeight=<<__autoHeight__>> \n\t\trefreshTitle=<<__refreshTitle__>> cancelPopups=<<__cancelPopups__>>/>\n</$keyboard>\n</$keyboard>\n</$keyboard>\n</$keyboard>\n</$keyboard>\n\\end\n"
        },
        "$:/core/macros/lingo": {
            "title": "$:/core/macros/lingo",
            "tags": "$:/tags/Macro",
            "text": "\\define lingo-base()\n$:/language/\n\\end\n\n\\define lingo(title)\n{{$(lingo-base)$$title$}}\n\\end\n"
        },
        "$:/core/macros/list": {
            "title": "$:/core/macros/list",
            "tags": "$:/tags/Macro",
            "text": "\\define list-links(filter,type:\"ul\",subtype:\"li\",class:\"\",emptyMessage)\n\\whitespace trim\n<$type$ class=\"$class$\">\n<$list filter=\"$filter$\" emptyMessage=<<__emptyMessage__>>>\n<$subtype$>\n<$link to={{!!title}}>\n<$transclude field=\"caption\">\n<$view field=\"title\"/>\n</$transclude>\n</$link>\n</$subtype$>\n</$list>\n</$type$>\n\\end\n\n\\define list-links-draggable-drop-actions()\n<$action-listops $tiddler=<<targetTiddler>> $field=<<targetField>> $subfilter=\"+[insertbefore:currentTiddler<actionTiddler>]\"/>\n\\end\n\n\\define list-links-draggable(tiddler,field:\"list\",type:\"ul\",subtype:\"li\",class:\"\",itemTemplate)\n\\whitespace trim\n<span class=\"tc-links-draggable-list\">\n<$vars targetTiddler=\"\"\"$tiddler$\"\"\" targetField=\"\"\"$field$\"\"\">\n<$type$ class=\"$class$\">\n<$list filter=\"[list[$tiddler$!!$field$]]\">\n<$droppable actions=<<list-links-draggable-drop-actions>> tag=\"\"\"$subtype$\"\"\" enable=<<tv-enable-drag-and-drop>>>\n<div class=\"tc-droppable-placeholder\"/>\n<div>\n<$transclude tiddler=\"\"\"$itemTemplate$\"\"\">\n<$link to={{!!title}}>\n<$transclude field=\"caption\">\n<$view field=\"title\"/>\n</$transclude>\n</$link>\n</$transclude>\n</div>\n</$droppable>\n</$list>\n<$tiddler tiddler=\"\">\n<$droppable actions=<<list-links-draggable-drop-actions>> tag=\"div\" enable=<<tv-enable-drag-and-drop>>>\n<div class=\"tc-droppable-placeholder\">\n{{$:/core/images/blank}}\n</div>\n<div style=\"height:0.5em;\"/>\n</$droppable>\n</$tiddler>\n</$type$>\n</$vars>\n</span>\n\\end\n\n\\define list-tagged-draggable-drop-actions(tag)\n<!-- Save the current ordering of the tiddlers with this tag -->\n<$set name=\"order\" filter=\"[<__tag__>tagging[]]\">\n<!-- Remove any list-after or list-before fields from the tiddlers with this tag -->\n<$list filter=\"[<__tag__>tagging[]]\">\n<$action-deletefield $field=\"list-before\"/>\n<$action-deletefield $field=\"list-after\"/>\n</$list>\n<!-- Save the new order to the Tag Tiddler -->\n<$action-listops $tiddler=<<__tag__>> $field=\"list\" $filter=\"+[enlist<order>] +[insertbefore:currentTiddler<actionTiddler>]\"/>\n<!-- Make sure the newly added item has the right tag -->\n<!-- Removing this line makes dragging tags within the dropdown work as intended -->\n<!--<$action-listops $tiddler=<<actionTiddler>> $tags=<<__tag__>>/>-->\n<!-- Using the following 5 lines as replacement makes dragging titles from outside into the dropdown apply the tag -->\n<$list filter=\"[<actionTiddler>!contains:tags<__tag__>]\">\n<$fieldmangler tiddler=<<actionTiddler>>>\n<$action-sendmessage $message=\"tm-add-tag\" $param=<<__tag__>>/>\n</$fieldmangler>\n</$list>\n</$set>\n\\end\n\n\\define list-tagged-draggable(tag,subFilter,emptyMessage,itemTemplate,elementTag:\"div\",storyview:\"\")\n\\whitespace trim\n<span class=\"tc-tagged-draggable-list\">\n<$set name=\"tag\" value=<<__tag__>>>\n<$list filter=\"[<__tag__>tagging[]$subFilter$]\" emptyMessage=<<__emptyMessage__>> storyview=<<__storyview__>>>\n<$elementTag$ class=\"tc-menu-list-item\">\n<$droppable actions=\"\"\"<$macrocall $name=\"list-tagged-draggable-drop-actions\" tag=<<__tag__>>/>\"\"\" enable=<<tv-enable-drag-and-drop>>>\n<$elementTag$ class=\"tc-droppable-placeholder\"/>\n<$elementTag$>\n<$transclude tiddler=\"\"\"$itemTemplate$\"\"\">\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</$transclude>\n</$elementTag$>\n</$droppable>\n</$elementTag$>\n</$list>\n<$tiddler tiddler=\"\">\n<$droppable actions=\"\"\"<$macrocall $name=\"list-tagged-draggable-drop-actions\" tag=<<__tag__>>/>\"\"\" enable=<<tv-enable-drag-and-drop>>>\n<$elementTag$ class=\"tc-droppable-placeholder\"/>\n<$elementTag$ style=\"height:0.5em;\">\n</$elementTag$>\n</$droppable>\n</$tiddler>\n</$set>\n</span>\n\\end\n"
        },
        "$:/core/macros/tabs": {
            "title": "$:/core/macros/tabs",
            "tags": "$:/tags/Macro",
            "text": "\\define tabs(tabsList,default,state:\"$:/state/tab\",class,template,buttonTemplate,retain,actions,explicitState)\n<$set name=\"qualifiedState\" value=<<qualify \"$state$\">>>\n<$vars tabsState={{{ [<__explicitState__>minlength[1]] ~[<qualifiedState>] }}}>\n<div class=\"tc-tab-set $class$\">\n<div class=\"tc-tab-buttons $class$\">\n<$list filter=\"$tabsList$\" variable=\"currentTab\" storyview=\"pop\"><$set name=\"save-currentTiddler\" value=<<currentTiddler>>><$tiddler tiddler=<<currentTab>>><$button set=<<tabsState>> setTo=<<currentTab>> default=\"$default$\" selectedClass=\"tc-tab-selected\" tooltip={{!!tooltip}}>\n<$tiddler tiddler=<<save-currentTiddler>>>\n<$set name=\"tv-wikilinks\" value=\"no\">\n<$transclude tiddler=\"$buttonTemplate$\" mode=\"inline\">\n<$transclude tiddler=<<currentTab>> field=\"caption\">\n<$macrocall $name=\"currentTab\" $type=\"text/plain\" $output=\"text/plain\"/>\n</$transclude>\n</$transclude>\n</$set></$tiddler>$actions$</$button></$tiddler></$set></$list>\n</div>\n<div class=\"tc-tab-divider $class$\"/>\n<div class=\"tc-tab-content $class$\">\n<$list filter=\"$tabsList$\" variable=\"currentTab\">\n\n<$reveal type=\"match\" state=<<tabsState>> text=<<currentTab>> default=\"$default$\" retain=\"\"\"$retain$\"\"\">\n\n<$transclude tiddler=\"$template$\" mode=\"block\">\n\n<$transclude tiddler=<<currentTab>> mode=\"block\"/>\n\n</$transclude>\n\n</$reveal>\n\n</$list>\n</div>\n</div>\n</$vars>\n</$set>\n\\end\n"
        },
        "$:/core/macros/tag-picker": {
            "title": "$:/core/macros/tag-picker",
            "tags": "$:/tags/Macro",
            "first-search-filter": "[tags[]!is[system]search:title<userInput>sort[]]",
            "second-search-filter": "[tags[]is[system]search:title<userInput>sort[]]",
            "text": "\\define get-tagpicker-focus-selector() [data-tiddler-title=\"$(currentTiddlerCSSEscaped)$\"] .tc-add-tag-name input\n\n\\define delete-tag-state-tiddlers() <$action-deletetiddler $filter=\"[<newTagNameTiddler>] [<storeTitle>] [<tagSelectionState>]\"/>\n\n\\define add-tag-actions(actions,tagField:\"tags\")\n<$set name=\"tag\" value={{{ [<__tiddler__>get[text]] }}}>\n<$list filter=\"[<saveTiddler>!contains:$tagField$<tag>!match[]]\" variable=\"ignore\" emptyMessage=\"\"\"\n<$action-listops $tiddler=<<saveTiddler>> $field=<<__tagField__>> $subfilter=\"-[<tag>]\"/>\n\"\"\">\n<$action-listops $tiddler=<<saveTiddler>> $field=<<__tagField__>> $subfilter=\"[<tag>]\"/>\n$actions$\n</$list>\n</$set>\n<<delete-tag-state-tiddlers>>\n<$action-setfield $tiddler=<<refreshTitle>> text=\"yes\"/>\n\\end\n\n\\define clear-tags-actions-inner()\n<$list filter=\"[<storeTitle>has[text]] [<newTagNameTiddler>has[text]]\" variable=\"ignore\" emptyMessage=\"\"\"<<cancel-delete-tiddler-actions \"cancel\">>\"\"\">\n<<delete-tag-state-tiddlers>>\n</$list>\n\\end\n\n\\define clear-tags-actions()\n<$set name=\"userInput\" value={{{ [<storeTitle>get[text]] }}}>\n<$list filter=\"[<newTagNameTiddler>get[text]!match<userInput>]\" emptyMessage=\"\"\"<<clear-tags-actions-inner>>\"\"\">\n<$action-setfield $tiddler=<<newTagNameTiddler>> text=<<userInput>>/><$action-setfield $tiddler=<<refreshTitle>> text=\"yes\"/>\n</$list>\n</$set>\n\\end\n\n\\define tag-picker-inner(actions,tagField:\"tags\")\n\\whitespace trim\n<$vars newTagNameInputTiddlerQualified=<<qualify \"$:/temp/NewTagName/input\">> newTagNameSelectionTiddlerQualified=<<qualify \"$:/temp/NewTagName/selected-item\">> fallbackTarget={{$(palette)$##tag-background}} colourA={{$(palette)$##foreground}} colourB={{$(palette)$##background}}>\n<$vars storeTitle={{{ [<newTagNameInputTiddler>!match[]] ~[<newTagNameInputTiddlerQualified>] }}} tagSelectionState={{{ [<newTagNameSelectionTiddler>!match[]] ~[<newTagNameSelectionTiddlerQualified>] }}}>\n<$vars refreshTitle=<<qualify \"$:/temp/NewTagName/refresh\">> nonSystemTagsFilter=\"[tags[]!is[system]search:title<userInput>sort[]]\" systemTagsFilter=\"[tags[]is[system]search:title<userInput>sort[]]\">\n<div class=\"tc-edit-add-tag\">\n<div>\n<span class=\"tc-add-tag-name tc-small-gap-right\">\n<$macrocall $name=\"keyboard-driven-input\" tiddler=<<newTagNameTiddler>> storeTitle=<<storeTitle>> refreshTitle=<<refreshTitle>>\n\t\tselectionStateTitle=<<tagSelectionState>> inputAcceptActions=\"\"\"<$macrocall $name=\"add-tag-actions\" actions=<<__actions__>> tagField=<<__tagField__>>/>\"\"\"\n\t\tinputCancelActions=<<clear-tags-actions>> tag=\"input\" placeholder={{$:/language/EditTemplate/Tags/Add/Placeholder}}\n\t\tfocusPopup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-edit-texteditor tc-popup-handle\" tabindex=<<tabIndex>> \n\t\tfocus={{{ [{$:/config/AutoFocus}match[tags]then[true]] ~[[false]] }}} filterMinLength={{$:/config/Tags/MinLength}} \n\t\tcancelPopups=<<cancelPopups>> configTiddlerFilter=\"[[$:/core/macros/tag-picker]]\"/>\n</span><$button popup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-btn-invisible tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Tags/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Tags/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button><$reveal state=<<storeTitle>> type=\"nomatch\" text=\"\"><$button class=\"tc-btn-invisible tc-small-gap tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Tags/ClearInput/Hint}} aria-label={{$:/language/EditTemplate/Tags/ClearInput/Caption}}>{{$:/core/images/close-button}}<<delete-tag-state-tiddlers>></$button></$reveal><span class=\"tc-add-tag-button tc-small-gap-left\">\n<$set name=\"tag\" value={{{ [<newTagNameTiddler>get[text]] }}}>\n<$button set=<<newTagNameTiddler>> setTo=\"\" class=\"\">\n<$action-listops $tiddler=<<saveTiddler>> $field=<<__tagField__>> $subfilter=\"[<tag>]\"/>\n$actions$\n<$set name=\"currentTiddlerCSSEscaped\" value={{{ [<saveTiddler>escapecss[]] }}}>\n<<delete-tag-state-tiddlers>><$action-sendmessage $message=\"tm-focus-selector\" $param=<<get-tagpicker-focus-selector>>/>\n</$set>\n{{$:/language/EditTemplate/Tags/Add/Button}}\n</$button>\n</$set>\n</span>\n</div>\n<div class=\"tc-block-dropdown-wrapper\">\n<$reveal state=<<qualify \"$:/state/popup/tags-auto-complete\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-block-tags-dropdown\">\n<$set name=\"userInput\" value={{{ [<storeTitle>get[text]] }}}>\n<$list filter=\"[<userInput>minlength{$:/config/Tags/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n<$list filter=<<nonSystemTagsFilter>> variable=\"tag\">\n<$list filter=\"[<tag>addsuffix[-primaryList]] -[<tagSelectionState>get[text]]\" emptyMessage=\"\"\"<$vars button-classes=\"tc-btn-invisible tc-tag-button-selected\" actions=<<__actions__>> tagField=<<__tagField__>> currentTiddler=<<tag>>>{{||$:/core/ui/TagPickerTagTemplate}}</$vars>\"\"\">\n<$vars button-classes=\"tc-btn-invisible\" actions=<<__actions__>> tagField=<<__tagField__>> currentTiddler=<<tag>>>{{||$:/core/ui/TagPickerTagTemplate}}</$vars>\n</$list>\n</$list></$list>\n<hr>\n<$list filter=\"[<userInput>minlength{$:/config/Tags/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n<$list filter=<<systemTagsFilter>> variable=\"tag\">\n<$list filter=\"[<tag>addsuffix[-secondaryList]] -[<tagSelectionState>get[text]]\" emptyMessage=\"\"\"<$vars button-classes=\"tc-btn-invisible tc-tag-button-selected\" actions=<<__actions__>> tagField=<<__tagField__>> currentTiddler=<<tag>>>{{||$:/core/ui/TagPickerTagTemplate}}</$vars>\"\"\">\n<$vars button-classes=\"tc-btn-invisible\" actions=<<__actions__>> tagField=<<__tagField__>> currentTiddler=<<tag>>>{{||$:/core/ui/TagPickerTagTemplate}}</$vars>\n</$list>\n</$list></$list>\n</$set>\n</div>\n</$reveal>\n</div>\n</div>\n</$vars>\n</$vars>\n</$vars>\n\\end\n\\define tag-picker(actions,tagField:\"tags\")\n\\whitespace trim\n<$vars saveTiddler=<<currentTiddler>> palette={{$:/palette}}>\n<$list filter=\"[<newTagNameTiddler>match[]]\" emptyMessage=\"\"\"<$macrocall $name=\"tag-picker-inner\" actions=<<__actions__>> tagField=<<__tagField__>>/>\"\"\">\n<$set name=\"newTagNameTiddler\" value=<<qualify \"$:/temp/NewTagName\">>>\n<$macrocall $name=\"tag-picker-inner\" actions=<<__actions__>> tagField=<<__tagField__>>/>\n</$set>\n</$list>\n</$vars>\n\\end\n"
        },
        "$:/core/macros/tag": {
            "title": "$:/core/macros/tag",
            "tags": "$:/tags/Macro",
            "text": "\\define tag-pill-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-pill-inner(tag,icon,colour,fallbackTarget,colourA,colourB,element-tag,element-attributes,actions)\n<$vars foregroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">> backgroundColor=\"\"\"$colour$\"\"\">\n<$element-tag$ $element-attributes$ class=\"tc-tag-label tc-btn-invisible\" style=<<tag-pill-styles>>>\n$actions$<$transclude tiddler=\"\"\"$icon$\"\"\"/><$view tiddler=<<__tag__>> field=\"title\" format=\"text\" />\n</$element-tag$>\n</$vars>\n\\end\n\n\\define tag-pill-body(tag,icon,colour,palette,element-tag,element-attributes,actions)\n<$macrocall $name=\"tag-pill-inner\" tag=<<__tag__>> icon=\"\"\"$icon$\"\"\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}} element-tag=\"\"\"$element-tag$\"\"\" element-attributes=\"\"\"$element-attributes$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n\\end\n\n\\define tag-pill(tag,element-tag:\"span\",element-attributes:\"\",actions:\"\")\n<span class=\"tc-tag-list-item\">\n<$macrocall $name=\"tag-pill-body\" tag=<<__tag__>> icon={{{ [<__tag__>get[icon]] }}} colour={{{ [<__tag__>get[color]] }}} palette={{$:/palette}} element-tag=\"\"\"$element-tag$\"\"\" element-attributes=\"\"\"$element-attributes$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</span>\n\\end\n\n\\define tag(tag)\n{{$tag$||$:/core/ui/TagTemplate}}\n\\end\n"
        },
        "$:/core/macros/thumbnails": {
            "title": "$:/core/macros/thumbnails",
            "tags": "$:/tags/Macro",
            "text": "\\define thumbnail(link,icon,color,background-color,image,caption,width:\"280\",height:\"157\")\n<$link to=\"\"\"$link$\"\"\"><div class=\"tc-thumbnail-wrapper\">\n<div class=\"tc-thumbnail-image\" style=\"width:$width$px;height:$height$px;\"><$reveal type=\"nomatch\" text=\"\" default=\"\"\"$image$\"\"\" tag=\"div\" style=\"width:$width$px;height:$height$px;\">\n[img[$image$]]\n</$reveal><$reveal type=\"match\" text=\"\" default=\"\"\"$image$\"\"\" tag=\"div\" class=\"tc-thumbnail-background\" style=\"width:$width$px;height:$height$px;background-color:$background-color$;\"></$reveal></div><div class=\"tc-thumbnail-icon\" style=\"fill:$color$;color:$color$;\">\n$icon$\n</div><div class=\"tc-thumbnail-caption\">\n$caption$\n</div>\n</div></$link>\n\\end\n\n\\define thumbnail-right(link,icon,color,background-color,image,caption,width:\"280\",height:\"157\")\n<div class=\"tc-thumbnail-right-wrapper\"><<thumbnail \"\"\"$link$\"\"\" \"\"\"$icon$\"\"\" \"\"\"$color$\"\"\" \"\"\"$background-color$\"\"\" \"\"\"$image$\"\"\" \"\"\"$caption$\"\"\" \"\"\"$width$\"\"\" \"\"\"$height$\"\"\">></div>\n\\end\n\n\\define list-thumbnails(filter,width:\"280\",height:\"157\")\n<$list filter=\"\"\"$filter$\"\"\"><$macrocall $name=\"thumbnail\" link={{!!link}} icon={{!!icon}} color={{!!color}} background-color={{!!background-color}} image={{!!image}} caption={{!!caption}} width=\"\"\"$width$\"\"\" height=\"\"\"$height$\"\"\"/></$list>\n\\end\n"
        },
        "$:/core/macros/timeline": {
            "title": "$:/core/macros/timeline",
            "created": "20141212105914482",
            "modified": "20141212110330815",
            "tags": "$:/tags/Macro",
            "text": "\\define timeline-title()\n\\whitespace trim\n<!-- Override this macro with a global macro \n     of the same name if you need to change \n     how titles are displayed on the timeline \n     -->\n<$view field=\"title\"/>\n\\end\n\\define timeline(limit:\"100\",format:\"DDth MMM YYYY\",subfilter:\"\",dateField:\"modified\")\n<div class=\"tc-timeline\">\n<$list filter=\"[!is[system]$subfilter$has[$dateField$]!sort[$dateField$]limit[$limit$]eachday[$dateField$]]\">\n<div class=\"tc-menu-list-item\">\n<$view field=\"$dateField$\" format=\"date\" template=\"$format$\"/>\n<$list filter=\"[sameday:$dateField${!!$dateField$}!is[system]$subfilter$!sort[$dateField$]]\">\n<div class=\"tc-menu-list-subitem\">\n<$link to={{!!title}}><<timeline-title>></$link>\n</div>\n</$list>\n</div>\n</$list>\n</div>\n\\end\n"
        },
        "$:/core/macros/toc": {
            "title": "$:/core/macros/toc",
            "tags": "$:/tags/Macro",
            "text": "\\define toc-caption()\n<$set name=\"tv-wikilinks\" value=\"no\">\n  <$transclude field=\"caption\">\n    <$view field=\"title\"/>\n  </$transclude>\n</$set>\n\\end\n\n\\define toc-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<ol class=\"tc-toc\">\n  <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[enlist<__exclude__>]\"\"\">\n    <$vars item=<<currentTiddler>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n      <$set name=\"excluded\" filter=\"\"\"[enlist<__exclude__>] [<__tag__>]\"\"\">\n        <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n          <li class=<<toc-item-class>>>\n            <$list filter=\"[all[current]toc-link[no]]\" emptyMessage=\"<$link to={{{ [<currentTiddler>get[target]else<currentTiddler>] }}}><$view field='caption'><$view field='title'/></$view></$link>\">\n              <<toc-caption>>\n            </$list>\n            <$macrocall $name=\"toc-body\" tag=<<item>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<excluded>> path=<<path>>/>\n          </li>\n        </$set>\n      </$set>\n    </$vars>\n  </$list>\n</ol>\n\\end\n\n\\define toc(tag,sort:\"\",itemClassFilter:\"\")\n<$macrocall $name=\"toc-body\"  tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> />\n\\end\n\n\\define toc-linked-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<!-- helper function -->\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n  <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n    <li class=<<toc-item-class>>>\n    <$link to={{{ [<currentTiddler>get[target]else<currentTiddler>] }}}>\n      <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n        <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n          {{$:/core/images/right-arrow}}\n        </$button>\n      </$reveal>\n      <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n        <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n          {{$:/core/images/down-arrow}}\n        </$button>\n      </$reveal>\n      <<toc-caption>>\n    </$link>\n    <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n      <$macrocall $name=\"toc-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n    </$reveal>\n    </li>\n  </$set>\n</$qualify>\n\\end\n\n\\define toc-unlinked-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<!-- helper function -->\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n  <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n    <li class=<<toc-item-class>>>\n      <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n        <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n          {{$:/core/images/right-arrow}}\n          <<toc-caption>>\n        </$button>\n      </$reveal>\n      <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n        <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n          {{$:/core/images/down-arrow}}\n          <<toc-caption>>\n        </$button>\n      </$reveal>\n      <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n        <$macrocall $name=\"toc-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n      </$reveal>\n    </li>\n  </$set>\n</$qualify>\n\\end\n\n\\define toc-expandable-empty-message()\n<$macrocall $name=\"toc-linked-expandable-body\" tag=<<tag>> sort=<<sort>> itemClassFilter=<<itemClassFilter>> exclude=<<excluded>> path=<<path>>/>\n\\end\n\n\\define toc-expandable(tag,sort:\"\",itemClassFilter:\"\",exclude,path)\n<$vars tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n  <$set name=\"excluded\" filter=\"\"\"[enlist<__exclude__>] [<__tag__>]\"\"\">\n    <ol class=\"tc-toc toc-expandable\">\n      <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[enlist<__exclude__>]\"\"\">\n        <$list filter=\"[all[current]toc-link[no]]\" emptyMessage=<<toc-expandable-empty-message>> >\n          <$macrocall $name=\"toc-unlinked-expandable-body\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=\"\"\"itemClassFilter\"\"\" exclude=<<excluded>> path=<<path>> />\n        </$list>\n      </$list>\n    </ol>\n  </$set>\n</$vars>\n\\end\n\n\\define toc-linked-selective-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n  <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\" >\n    <li class=<<toc-item-class>>>\n      <$link to={{{ [<currentTiddler>get[target]else<currentTiddler>] }}}>\n          <$list filter=\"[all[current]tagging[]$sort$limit[1]]\" variable=\"ignore\" emptyMessage=\"<$button class='tc-btn-invisible'>{{$:/core/images/blank}}</$button>\">\n          <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n            <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n              {{$:/core/images/right-arrow}}\n            </$button>\n          </$reveal>\n          <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n            <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n              {{$:/core/images/down-arrow}}\n            </$button>\n          </$reveal>\n        </$list>\n        <<toc-caption>>\n      </$link>\n      <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n        <$macrocall $name=\"toc-selective-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n      </$reveal>\n    </li>\n  </$set>\n</$qualify>\n\\end\n\n\\define toc-unlinked-selective-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n  <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n    <li class=<<toc-item-class>>>\n      <$list filter=\"[all[current]tagging[]$sort$limit[1]]\" variable=\"ignore\" emptyMessage=\"<$button class='tc-btn-invisible'>{{$:/core/images/blank}}</$button> <$view field='caption'><$view field='title'/></$view>\">\n        <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n          <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n            {{$:/core/images/right-arrow}}\n            <<toc-caption>>\n          </$button>\n        </$reveal>\n        <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n          <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n            {{$:/core/images/down-arrow}}\n            <<toc-caption>>\n          </$button>\n        </$reveal>\n      </$list>\n      <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n        <$macrocall $name=\"toc-selective-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n      </$reveal>\n    </li>\n  </$set>\n</$qualify>\n\\end\n\n\\define toc-selective-expandable-empty-message()\n<$macrocall $name=\"toc-linked-selective-expandable-body\" tag=<<tag>> sort=<<sort>> itemClassFilter=<<itemClassFilter>> exclude=<<excluded>> path=<<path>>/>\n\\end\n\n\\define toc-selective-expandable(tag,sort:\"\",itemClassFilter,exclude,path)\n<$vars tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n  <$set name=\"excluded\" filter=\"\"\"[enlist<__exclude__>] [<__tag__>]\"\"\">\n    <ol class=\"tc-toc toc-selective-expandable\">\n      <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[enlist<__exclude__>]\"\"\">\n        <$list filter=\"[all[current]toc-link[no]]\" variable=\"ignore\" emptyMessage=<<toc-selective-expandable-empty-message>> >\n          <$macrocall $name=\"toc-unlinked-selective-expandable-body\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<excluded>> path=<<path>>/>\n        </$list>\n      </$list>\n    </ol>\n  </$set>\n</$vars>\n\\end\n\n\\define toc-tabbed-external-nav(tag,sort:\"\",selectedTiddler:\"$:/temp/toc/selectedTiddler\",unselectedText,missingText,template:\"\")\n<$tiddler tiddler={{{ [<__selectedTiddler__>get[text]] }}}>\n  <div class=\"tc-tabbed-table-of-contents\">\n    <$linkcatcher to=<<__selectedTiddler__>>>\n      <div class=\"tc-table-of-contents\">\n        <$macrocall $name=\"toc-selective-expandable\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=\"[all[current]] -[<__selectedTiddler__>get[text]]\"/>\n      </div>\n    </$linkcatcher>\n    <div class=\"tc-tabbed-table-of-contents-content\">\n      <$reveal stateTitle=<<__selectedTiddler__>> type=\"nomatch\" text=\"\">\n        <$transclude mode=\"block\" tiddler=<<__template__>>>\n          <h1><<toc-caption>></h1>\n          <$transclude mode=\"block\">$missingText$</$transclude>\n        </$transclude>\n      </$reveal>\n      <$reveal stateTitle=<<__selectedTiddler__>> type=\"match\" text=\"\">\n        $unselectedText$\n      </$reveal>\n    </div>\n  </div>\n</$tiddler>\n\\end\n\n\\define toc-tabbed-internal-nav(tag,sort:\"\",selectedTiddler:\"$:/temp/toc/selectedTiddler\",unselectedText,missingText,template:\"\")\n<$linkcatcher to=<<__selectedTiddler__>>>\n  <$macrocall $name=\"toc-tabbed-external-nav\" tag=<<__tag__>> sort=<<__sort__>> selectedTiddler=<<__selectedTiddler__>> unselectedText=<<__unselectedText__>> missingText=<<__missingText__>> template=<<__template__>>/>\n</$linkcatcher>\n\\end\n\n"
        },
        "$:/core/macros/translink": {
            "title": "$:/core/macros/translink",
            "tags": "$:/tags/Macro",
            "text": "\\define translink(title,mode:\"block\")\n<div style=\"border:1px solid #ccc; padding: 0.5em; background: black; foreground; white;\">\n<$link to=\"\"\"$title$\"\"\">\n<$text text=\"\"\"$title$\"\"\"/>\n</$link>\n<div style=\"border:1px solid #ccc; padding: 0.5em; background: white; foreground; black;\">\n<$transclude tiddler=\"\"\"$title$\"\"\" mode=\"$mode$\">\n\"<$text text=\"\"\"$title$\"\"\"/>\" is missing\n</$transclude>\n</div>\n</div>\n\\end\n"
        },
        "$:/core/macros/tree": {
            "title": "$:/core/macros/tree",
            "tags": "$:/tags/Macro",
            "text": "\\define leaf-link(full-title,chunk,separator: \"/\")\n<$link to=<<__full-title__>>><$text text=<<__chunk__>>/></$link>\n\\end\n\n\\define leaf-node(prefix,chunk)\n<li>\n<$list filter=\"[<__prefix__>addsuffix<__chunk__>is[shadow]] [<__prefix__>addsuffix<__chunk__>is[tiddler]]\" variable=\"full-title\">\n<$list filter=\"[<full-title>removeprefix<__prefix__>]\" variable=\"chunk\">\n<span>{{$:/core/images/file}}</span> <$macrocall $name=\"leaf-link\" full-title=<<full-title>> chunk=<<chunk>>/>\n</$list>\n</$list>\n</li>\n\\end\n\n\\define branch-node(prefix,chunk,separator: \"/\")\n<li>\n<$set name=\"reveal-state\" value={{{ [[$:/state/tree/]addsuffix<__prefix__>addsuffix<__chunk__>] }}}>\n<$reveal type=\"nomatch\" stateTitle=<<reveal-state>> text=\"show\">\n<$button setTitle=<<reveal-state>> setTo=\"show\" class=\"tc-btn-invisible\">\n{{$:/core/images/folder}} <$text text=<<__chunk__>>/>\n</$button>\n</$reveal>\n<$reveal type=\"match\" stateTitle=<<reveal-state>> text=\"show\">\n<$button setTitle=<<reveal-state>> setTo=\"hide\" class=\"tc-btn-invisible\">\n{{$:/core/images/folder}} <$text text=<<__chunk__>>/>\n</$button>\n</$reveal>\n<span>(<$count filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>removeprefix<__chunk__>] -[<__prefix__>addsuffix<__chunk__>]\"/>)</span>\n<$reveal type=\"match\" stateTitle=<<reveal-state>> text=\"show\">\n<$macrocall $name=\"tree-node\" prefix={{{ [<__prefix__>addsuffix<__chunk__>] }}} separator=<<__separator__>>/>\n</$reveal>\n</$set>\n</li>\n\\end\n\n\\define tree-node(prefix,separator: \"/\")\n<ol>\n<$list filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>splitbefore<__separator__>sort[]!suffix<__separator__>]\" variable=\"chunk\">\n<$macrocall $name=\"leaf-node\" prefix=<<__prefix__>> chunk=<<chunk>> separator=<<__separator__>>/>\n</$list>\n<$list filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>splitbefore<__separator__>sort[]suffix<__separator__>]\" variable=\"chunk\">\n<$macrocall $name=\"branch-node\" prefix=<<__prefix__>> chunk=<<chunk>> separator=<<__separator__>>/>\n</$list>\n</ol>\n\\end\n\n\\define tree(prefix: \"$:/\",separator: \"/\")\n<div class=\"tc-tree\">\n<span><$text text=<<__prefix__>>/></span>\n<div>\n<$macrocall $name=\"tree-node\" prefix=<<__prefix__>> separator=<<__separator__>>/>\n</div>\n</div>\n\\end\n"
        },
        "$:/core/macros/utils": {
            "title": "$:/core/macros/utils",
            "text": "\\define colour(colour)\n$colour$\n\\end\n"
        },
        "$:/snippets/minifocusswitcher": {
            "title": "$:/snippets/minifocusswitcher",
            "text": "<$select tiddler=\"$:/config/AutoFocus\">\n<$list filter=\"title tags text type fields\">\n<option value=<<currentTiddler>>><<currentTiddler>></option>\n</$list>\n</$select>\n"
        },
        "$:/snippets/minilanguageswitcher": {
            "title": "$:/snippets/minilanguageswitcher",
            "text": "<$select tiddler=\"$:/language\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[title]]\">\n<option value=<<currentTiddler>>><$view field=\"description\"><$view field=\"name\"><$view field=\"title\"/></$view></$view></option>\n</$list>\n</$select>"
        },
        "$:/snippets/minithemeswitcher": {
            "title": "$:/snippets/minithemeswitcher",
            "text": "\\define lingo-base() $:/language/ControlPanel/Theme/\n<<lingo Prompt>> <$select tiddler=\"$:/theme\">\n<$list filter=\"[plugin-type[theme]sort[title]]\">\n<option value=<<currentTiddler>>><$view field=\"name\"><$view field=\"title\"/></$view></option>\n</$list>\n</$select>"
        },
        "$:/snippets/modules": {
            "title": "$:/snippets/modules",
            "text": "\\define describeModuleType(type)\n{{$:/language/Docs/ModuleTypes/$type$}}\n\\end\n<$list filter=\"[moduletypes[]]\">\n\n!! <$macrocall $name=\"currentTiddler\" $type=\"text/plain\" $output=\"text/plain\"/>\n\n<$macrocall $name=\"describeModuleType\" type=<<currentTiddler>>/>\n\n<ul><$list filter=\"[all[current]modules[]]\"><li><$link><<currentTiddler>></$link>\n</li>\n</$list>\n</ul>\n</$list>\n"
        },
        "$:/palette": {
            "title": "$:/palette",
            "text": "$:/palettes/Vanilla"
        },
        "$:/snippets/paletteeditor": {
            "title": "$:/snippets/paletteeditor",
            "text": "<$transclude tiddler=\"$:/PaletteManager\"/>\n"
        },
        "$:/snippets/palettepreview": {
            "title": "$:/snippets/palettepreview",
            "text": "<$set name=\"currentTiddler\" value={{$:/palette}}>\n{{||$:/snippets/currpalettepreview}}\n</$set>\n"
        },
        "$:/snippets/paletteswitcher": {
            "title": "$:/snippets/paletteswitcher",
            "text": "<$linkcatcher to=\"$:/palette\">\n<div class=\"tc-chooser\"><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Palette]sort[name]]\"><$set name=\"cls\" filter=\"[all[current]prefix{$:/palette}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>><$link to={{!!title}}>''<$view field=\"name\" format=\"text\"/>'' - <$view field=\"description\" format=\"text\"/>{{||$:/snippets/currpalettepreview}}</$link>\n</div></$set>\n</$list>\n</div>\n</$linkcatcher>\n"
        },
        "$:/snippets/peek-stylesheets": {
            "title": "$:/snippets/peek-stylesheets",
            "text": "\\define expandable-stylesheets-list()\n<ol>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<$vars state=<<qualify \"$:/state/peek-stylesheets/open/\">>>\n<$set name=\"state\" value={{{ [<state>addsuffix<currentTiddler>] }}}>\n<li>\n<$reveal type=\"match\" state=<<state>> text=\"yes\" tag=\"span\">\n<$button set=<<state>> setTo=\"no\" class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"nomatch\" state=<<state>> text=\"yes\" tag=\"span\">\n<$button set=<<state>> setTo=\"yes\" class=\"tc-btn-invisible\">\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$link>\n<$view field=\"title\"/>\n</$link>\n<$reveal type=\"match\" state=<<state>> text=\"yes\" tag=\"div\">\n<$set name=\"source\" tiddler=<<currentTiddler>>>\n<$wikify name=\"styles\" text=<<source>>>\n<pre>\n<code>\n<$text text=<<styles>>/>\n</code>\n</pre>\n</$wikify>\n</$set>\n</$reveal>\n</li>\n</$set>\n</$vars>\n</$list>\n</ol>\n\\end\n\n\\define stylesheets-list()\n<ol>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<li>\n<$link>\n<$view field=\"title\"/>\n</$link>\n<$set name=\"source\" tiddler=<<currentTiddler>>>\n<$wikify name=\"styles\" text=<<source>>>\n<pre>\n<code>\n<$text text=<<styles>>/>\n</code>\n</pre>\n</$wikify>\n</$set>\n</li>\n</$list>\n</ol>\n\\end\n\n<$vars modeState=<<qualify \"$:/state/peek-stylesheets/mode/\">>>\n\n<$reveal type=\"nomatch\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<$button set=<<modeState>> setTo=\"expanded\" class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}} {{$:/language/ControlPanel/Stylesheets/Expand/Caption}}</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<$button set=<<modeState>> setTo=\"restored\" class=\"tc-btn-invisible\">{{$:/core/images/chevron-down}} {{$:/language/ControlPanel/Stylesheets/Restore/Caption}}</$button>\n</$reveal>\n\n<$reveal type=\"nomatch\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<<expandable-stylesheets-list>>\n</$reveal>\n<$reveal type=\"match\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<<stylesheets-list>>\n</$reveal>\n\n</$vars>\n"
        },
        "$:/temp/search": {
            "title": "$:/temp/search",
            "text": ""
        },
        "$:/tags/AdvancedSearch": {
            "title": "$:/tags/AdvancedSearch",
            "list": "[[$:/core/ui/AdvancedSearch/Standard]] [[$:/core/ui/AdvancedSearch/System]] [[$:/core/ui/AdvancedSearch/Shadows]] [[$:/core/ui/AdvancedSearch/Filter]]"
        },
        "$:/tags/AdvancedSearch/FilterButton": {
            "title": "$:/tags/AdvancedSearch/FilterButton",
            "list": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown $:/core/ui/AdvancedSearch/Filter/FilterButtons/clear $:/core/ui/AdvancedSearch/Filter/FilterButtons/export $:/core/ui/AdvancedSearch/Filter/FilterButtons/delete"
        },
        "$:/tags/ControlPanel": {
            "title": "$:/tags/ControlPanel",
            "list": "$:/core/ui/ControlPanel/Info $:/core/ui/ControlPanel/Appearance $:/core/ui/ControlPanel/Settings $:/core/ui/ControlPanel/Saving $:/core/ui/ControlPanel/Plugins $:/core/ui/ControlPanel/Tools $:/core/ui/ControlPanel/Internals"
        },
        "$:/tags/ControlPanel/Info": {
            "title": "$:/tags/ControlPanel/Info",
            "list": "$:/core/ui/ControlPanel/Basics $:/core/ui/ControlPanel/Advanced"
        },
        "$:/tags/ControlPanel/Plugins": {
            "title": "$:/tags/ControlPanel/Plugins",
            "list": "[[$:/core/ui/ControlPanel/Plugins/Installed]] [[$:/core/ui/ControlPanel/Plugins/Add]]"
        },
        "$:/tags/EditTemplate": {
            "title": "$:/tags/EditTemplate",
            "list": "[[$:/core/ui/EditTemplate/controls]] [[$:/core/ui/EditTemplate/title]] [[$:/core/ui/EditTemplate/tags]] [[$:/core/ui/EditTemplate/shadow]] [[$:/core/ui/ViewTemplate/classic]] [[$:/core/ui/EditTemplate/body]] [[$:/core/ui/EditTemplate/type]] [[$:/core/ui/EditTemplate/fields]]"
        },
        "$:/tags/EditToolbar": {
            "title": "$:/tags/EditToolbar",
            "list": "[[$:/core/ui/Buttons/delete]] [[$:/core/ui/Buttons/cancel]] [[$:/core/ui/Buttons/save]]"
        },
        "$:/tags/EditorToolbar": {
            "title": "$:/tags/EditorToolbar",
            "list": "$:/core/ui/EditorToolbar/paint $:/core/ui/EditorToolbar/opacity $:/core/ui/EditorToolbar/line-width $:/core/ui/EditorToolbar/rotate-left $:/core/ui/EditorToolbar/clear $:/core/ui/EditorToolbar/bold $:/core/ui/EditorToolbar/italic $:/core/ui/EditorToolbar/strikethrough $:/core/ui/EditorToolbar/underline $:/core/ui/EditorToolbar/superscript $:/core/ui/EditorToolbar/subscript $:/core/ui/EditorToolbar/mono-line $:/core/ui/EditorToolbar/mono-block $:/core/ui/EditorToolbar/quote $:/core/ui/EditorToolbar/list-bullet $:/core/ui/EditorToolbar/list-number $:/core/ui/EditorToolbar/heading-1 $:/core/ui/EditorToolbar/heading-2 $:/core/ui/EditorToolbar/heading-3 $:/core/ui/EditorToolbar/heading-4 $:/core/ui/EditorToolbar/heading-5 $:/core/ui/EditorToolbar/heading-6 $:/core/ui/EditorToolbar/link $:/core/ui/EditorToolbar/excise $:/core/ui/EditorToolbar/picture $:/core/ui/EditorToolbar/stamp $:/core/ui/EditorToolbar/size $:/core/ui/EditorToolbar/editor-height $:/core/ui/EditorToolbar/more $:/core/ui/EditorToolbar/preview $:/core/ui/EditorToolbar/preview-type"
        },
        "$:/tags/Manager/ItemMain": {
            "title": "$:/tags/Manager/ItemMain",
            "list": "$:/Manager/ItemMain/WikifiedText $:/Manager/ItemMain/RawText $:/Manager/ItemMain/Fields"
        },
        "$:/tags/Manager/ItemSidebar": {
            "title": "$:/tags/Manager/ItemSidebar",
            "list": "$:/Manager/ItemSidebar/Tags $:/Manager/ItemSidebar/Colour $:/Manager/ItemSidebar/Icon $:/Manager/ItemSidebar/Tools"
        },
        "$:/tags/MoreSideBar": {
            "title": "$:/tags/MoreSideBar",
            "list": "[[$:/core/ui/MoreSideBar/All]] [[$:/core/ui/MoreSideBar/Recent]] [[$:/core/ui/MoreSideBar/Tags]] [[$:/core/ui/MoreSideBar/Missing]] [[$:/core/ui/MoreSideBar/Drafts]] [[$:/core/ui/MoreSideBar/Orphans]] [[$:/core/ui/MoreSideBar/Types]] [[$:/core/ui/MoreSideBar/System]] [[$:/core/ui/MoreSideBar/Shadows]] [[$:/core/ui/MoreSideBar/Explorer]] [[$:/core/ui/MoreSideBar/Plugins]]",
            "text": ""
        },
        "$:/tags/PageControls": {
            "title": "$:/tags/PageControls",
            "list": "[[$:/core/ui/Buttons/home]] [[$:/core/ui/Buttons/close-all]] [[$:/core/ui/Buttons/fold-all]] [[$:/core/ui/Buttons/unfold-all]] [[$:/core/ui/Buttons/permaview]] [[$:/core/ui/Buttons/new-tiddler]] [[$:/core/ui/Buttons/new-journal]] [[$:/core/ui/Buttons/new-image]] [[$:/core/ui/Buttons/import]] [[$:/core/ui/Buttons/export-page]] [[$:/core/ui/Buttons/control-panel]] [[$:/core/ui/Buttons/advanced-search]] [[$:/core/ui/Buttons/manager]] [[$:/core/ui/Buttons/tag-manager]] [[$:/core/ui/Buttons/language]] [[$:/core/ui/Buttons/palette]] [[$:/core/ui/Buttons/theme]] [[$:/core/ui/Buttons/storyview]] [[$:/core/ui/Buttons/encryption]] [[$:/core/ui/Buttons/timestamp]] [[$:/core/ui/Buttons/full-screen]] [[$:/core/ui/Buttons/print]] [[$:/core/ui/Buttons/save-wiki]] [[$:/core/ui/Buttons/refresh]] [[$:/core/ui/Buttons/more-page-actions]]"
        },
        "$:/tags/PageTemplate": {
            "title": "$:/tags/PageTemplate",
            "list": "[[$:/core/ui/PageTemplate/topleftbar]] [[$:/core/ui/PageTemplate/toprightbar]] [[$:/core/ui/PageTemplate/sidebar]] [[$:/core/ui/PageTemplate/story]] [[$:/core/ui/PageTemplate/alerts]]",
            "text": ""
        },
        "$:/tags/PluginLibrary": {
            "title": "$:/tags/PluginLibrary",
            "list": "$:/config/OfficialPluginLibrary"
        },
        "$:/tags/SideBar": {
            "title": "$:/tags/SideBar",
            "list": "[[$:/core/ui/SideBar/Open]] [[$:/core/ui/SideBar/Recent]] [[$:/core/ui/SideBar/Tools]] [[$:/core/ui/SideBar/More]]",
            "text": ""
        },
        "$:/tags/SideBarSegment": {
            "title": "$:/tags/SideBarSegment",
            "list": "[[$:/core/ui/SideBarSegments/site-title]] [[$:/core/ui/SideBarSegments/site-subtitle]] [[$:/core/ui/SideBarSegments/page-controls]] [[$:/core/ui/SideBarSegments/search]] [[$:/core/ui/SideBarSegments/tabs]]"
        },
        "$:/tags/TiddlerInfo": {
            "title": "$:/tags/TiddlerInfo",
            "list": "[[$:/core/ui/TiddlerInfo/Tools]] [[$:/core/ui/TiddlerInfo/References]] [[$:/core/ui/TiddlerInfo/Tagging]] [[$:/core/ui/TiddlerInfo/List]] [[$:/core/ui/TiddlerInfo/Listed]] [[$:/core/ui/TiddlerInfo/Fields]]",
            "text": ""
        },
        "$:/tags/TiddlerInfo/Advanced": {
            "title": "$:/tags/TiddlerInfo/Advanced",
            "list": "[[$:/core/ui/TiddlerInfo/Advanced/ShadowInfo]] [[$:/core/ui/TiddlerInfo/Advanced/PluginInfo]]"
        },
        "$:/tags/ViewTemplate": {
            "title": "$:/tags/ViewTemplate",
            "list": "[[$:/core/ui/ViewTemplate/title]] [[$:/core/ui/ViewTemplate/unfold]] [[$:/core/ui/ViewTemplate/subtitle]] [[$:/core/ui/ViewTemplate/tags]] [[$:/core/ui/ViewTemplate/classic]] [[$:/core/ui/ViewTemplate/body]]"
        },
        "$:/tags/ViewToolbar": {
            "title": "$:/tags/ViewToolbar",
            "list": "[[$:/core/ui/Buttons/more-tiddler-actions]] [[$:/core/ui/Buttons/info]] [[$:/core/ui/Buttons/new-here]] [[$:/core/ui/Buttons/new-journal-here]] [[$:/core/ui/Buttons/clone]] [[$:/core/ui/Buttons/export-tiddler]] [[$:/core/ui/Buttons/edit]] [[$:/core/ui/Buttons/delete]] [[$:/core/ui/Buttons/permalink]] [[$:/core/ui/Buttons/permaview]] [[$:/core/ui/Buttons/open-window]] [[$:/core/ui/Buttons/close-others]] [[$:/core/ui/Buttons/close]] [[$:/core/ui/Buttons/fold-others]] [[$:/core/ui/Buttons/fold]]"
        },
        "$:/snippets/themeswitcher": {
            "title": "$:/snippets/themeswitcher",
            "text": "<$linkcatcher to=\"$:/theme\">\n<div class=\"tc-chooser\"><$list filter=\"[plugin-type[theme]sort[title]]\"><$set name=\"cls\" filter=\"[all[current]field:title{$:/theme}] [[$:/theme]!has[text]addsuffix[s/tiddlywiki/vanilla]field:title<currentTiddler>] +[limit[1]]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>><$link to={{!!title}}>''<$view field=\"name\" format=\"text\"/>'' <$view field=\"description\" format=\"text\"/></$link></div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"
        },
        "$:/core/wiki/title": {
            "title": "$:/core/wiki/title",
            "text": "{{$:/SiteTitle}} --- {{$:/SiteSubtitle}}"
        },
        "$:/view": {
            "title": "$:/view",
            "text": "classic"
        },
        "$:/snippets/viewswitcher": {
            "title": "$:/snippets/viewswitcher",
            "text": "\\define icon()\n$:/core/images/storyview-$(storyview)$\n\\end\n<$linkcatcher to=\"$:/view\">\n<div class=\"tc-chooser tc-viewswitcher\">\n<$list filter=\"[storyviews[]]\" variable=\"storyview\">\n<$set name=\"cls\" filter=\"[<storyview>prefix{$:/view}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>>\n<$link to=<<storyview>>><$transclude tiddler=<<icon>>/><$text text=<<storyview>>/></$link>\n</div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"
        }
    }
}
[[Вечнозеленые заметки]]
The following tiddlers were imported:

# [[Снимок экрана 2021-04-19 в 5.48.01 PM.png]]
no
$:/core/ui/PageTemplate
$:/palettes/Vanilla
alert-background: #f2f0e9
alert-border: #b99e2f
alert-highlight: #881122
alert-muted-foreground: #b99e2f
background: #ffffff
blockquote-bar: <<colour muted-foreground>>
button-background: 
button-foreground: 
button-border: 
code-background: #f7f7f9
code-border: #e1e1e8
code-foreground: #dd1144
diff-delete-background: #ffc9c9
diff-delete-foreground: <<colour foreground>>
diff-equal-background: 
diff-equal-foreground: <<colour foreground>>
diff-insert-background: #aaefad
diff-insert-foreground: <<colour foreground>>
diff-invisible-background: 
diff-invisible-foreground: <<colour muted-foreground>>
dirty-indicator: #ff0000
download-background: #34c734
download-foreground: <<colour background>>
dragger-background: <<colour foreground>>
dragger-foreground: <<colour background>>
dropdown-background: <<colour background>>
dropdown-border: <<colour muted-foreground>>
dropdown-tab-background-selected: #fff
dropdown-tab-background: #ececec
dropzone-background: rgba(0,200,0,0.7)
external-link-background-hover: inherit
external-link-background-visited: inherit
external-link-background: inherit
external-link-foreground-hover: inherit
external-link-foreground-visited: #0000aa
external-link-foreground: #0000ee
foreground: #333333
message-background: #ecf2ff
message-border: #cfd6e6
message-foreground: #547599
modal-backdrop: <<colour foreground>>
modal-background: <<colour background>>
modal-border: #999999
modal-footer-background: #f5f5f5
modal-footer-border: #dddddd
modal-header-border: #eeeeee
muted-foreground: #bbb
notification-background: #ffffdd
notification-border: #999999
page-background: #f4f4f4
pre-background: #f5f5f5
pre-border: #cccccc
primary: #5778d8
selection-background: 
selection-foreground: 
select-tag-background: 
select-tag-foreground: 
sidebar-button-foreground: <<colour foreground>>
sidebar-controls-foreground-hover: #000000
sidebar-controls-foreground: #aaaaaa
sidebar-foreground-shadow: rgba(255,255,255, 0.8)
sidebar-foreground: #acacac
sidebar-muted-foreground-hover: #444444
sidebar-muted-foreground: #c0c0c0
sidebar-tab-background-selected: #f4f4f4
sidebar-tab-background: #e0e0e0
sidebar-tab-border-selected: <<colour tab-border-selected>>
sidebar-tab-border: <<colour tab-border>>
sidebar-tab-divider: #e4e4e4
sidebar-tab-foreground-selected: 
sidebar-tab-foreground: <<colour tab-foreground>>
sidebar-tiddler-link-foreground-hover: #444444
sidebar-tiddler-link-foreground: #999999
site-title-foreground: <<colour tiddler-title-foreground>>
static-alert-foreground: #aaaaaa
tab-background-selected: #ffffff
tab-background: #d8d8d8
tab-border-selected: #d8d8d8
tab-border: #cccccc
tab-divider: #d8d8d8
tab-foreground-selected: <<colour tab-foreground>>
tab-foreground: #666666
table-border: #dddddd
table-footer-background: #a8a8a8
table-header-background: #f0f0f0
tag-background: #ec6
tag-foreground: #ffffff
tiddler-background: <<colour background>>
tiddler-border: <<colour background>>
tiddler-controls-foreground-hover: #888888
tiddler-controls-foreground-selected: #444444
tiddler-controls-foreground: #cccccc
tiddler-editor-background: #f8f8f8
tiddler-editor-border-image: #ffffff
tiddler-editor-border: #cccccc
tiddler-editor-fields-even: #e0e8e0
tiddler-editor-fields-odd: #f0f4f0
tiddler-info-background: #f8f8f8
tiddler-info-border: #dddddd
tiddler-info-tab-background: #f8f8f8
tiddler-link-background: <<colour background>>
tiddler-link-foreground: <<colour primary>>
tiddler-subtitle-foreground: #c0c0c0
tiddler-title-foreground: #182955
toolbar-new-button: 
toolbar-options-button: 
toolbar-save-button: 
toolbar-info-button: 
toolbar-edit-button: 
toolbar-close-button: 
toolbar-delete-button: 
toolbar-cancel-button: 
toolbar-done-button: 
untagged-background: #999999
very-muted-foreground: #888888
wikilist-background: #e5e5e5
wikilist-item: #fff
wikilist-info: #000
wikilist-title: #666
wikilist-title-svg: <<colour wikilist-title>>
wikilist-url: #aaa
wikilist-button-open: #4fb82b
wikilist-button-open-hover: green
wikilist-button-reveal: #5778d8
wikilist-button-reveal-hover: blue
wikilist-button-remove: #d85778
wikilist-button-remove-hover: red
wikilist-toolbar-background: #d3d3d3
wikilist-toolbar-foreground: #888
wikilist-droplink-dragover: rgba(255,192,192,0.5)
wikilist-button-background: #acacac
wikilist-button-foreground: #000
{
    "tiddlers": {
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            "title": "$:/language/Docs/Types/text/x-markdown",
            "description": "Markdown",
            "name": "text/x-markdown",
            "group": "Text"
        },
        "$:/plugins/anstosa/tw5-markdown/highlight.css": {
            "text": "/*\n\ngithub.com style (c) Vasily Polovnyov <vast@whiteants.net>\n\n*/\n\n.hljs {\n  display: block;\n  overflow-x: auto;\n  padding: 0.5em;\n  color: #333;\n  background: #f8f8f8;\n}\n\n.hljs-comment,\n.hljs-quote {\n  color: #998;\n  font-style: italic;\n}\n\n.hljs-keyword,\n.hljs-selector-tag,\n.hljs-subst {\n  color: #333;\n  font-weight: bold;\n}\n\n.hljs-number,\n.hljs-literal,\n.hljs-variable,\n.hljs-template-variable,\n.hljs-tag .hljs-attr {\n  color: #008080;\n}\n\n.hljs-string,\n.hljs-doctag {\n  color: #d14;\n}\n\n.hljs-title,\n.hljs-section,\n.hljs-selector-id {\n  color: #900;\n  font-weight: bold;\n}\n\n.hljs-subst {\n  font-weight: normal;\n}\n\n.hljs-type,\n.hljs-class .hljs-title {\n  color: #458;\n  font-weight: bold;\n}\n\n.hljs-tag,\n.hljs-name,\n.hljs-attribute {\n  color: #000080;\n  font-weight: normal;\n}\n\n.hljs-regexp,\n.hljs-link {\n  color: #009926;\n}\n\n.hljs-symbol,\n.hljs-bullet {\n  color: #990073;\n}\n\n.hljs-built_in,\n.hljs-builtin-name {\n  color: #0086b3;\n}\n\n.hljs-meta {\n  color: #999;\n  font-weight: bold;\n}\n\n.hljs-deletion {\n  background: #fdd;\n}\n\n.hljs-addition {\n  background: #dfd;\n}\n\n.hljs-emphasis {\n  font-style: italic;\n}\n\n.hljs-strong {\n  font-weight: bold;\n}\n",
            "type": "text/css",
            "title": "$:/plugins/anstosa/tw5-markdown/highlight.css",
            "tags": "[[$:/tags/Stylesheet]]"
        },
        "$:/plugins/anstosa/tw5-markdown/highlight.js": {
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CheckboxBar CheckboxBox CheckboxBoxOptions ChemicalData ChessboardDistance ChiDistribution ChineseRemainder ChiSquareDistribution ChoiceButtons ChoiceDialog CholeskyDecomposition Chop Circle CircleBox CircleDot CircleMinus CirclePlus CircleTimes CirculantGraph CityData Clear ClearAll ClearAttributes ClearSystemCache ClebschGordan ClickPane Clip ClipboardNotebook ClipFill ClippingStyle ClipPlanes ClipRange Clock ClockGauge ClockwiseContourIntegral Close Closed CloseKernels ClosenessCentrality Closing ClosingAutoSave ClosingEvent ClusteringComponents CMYKColor Coarse Coefficient CoefficientArrays CoefficientDomain CoefficientList CoefficientRules CoifletWavelet Collect Colon ColonForm ColorCombine ColorConvert ColorData ColorDataFunction ColorFunction ColorFunctionScaling Colorize ColorNegate ColorOutput ColorProfileData ColorQuantize ColorReplace ColorRules ColorSelectorSettings ColorSeparate ColorSetter ColorSetterBox ColorSetterBoxOptions ColorSlider ColorSpace Column ColumnAlignments ColumnBackgrounds ColumnForm ColumnLines ColumnsEqual ColumnSpacings ColumnWidths CommonDefaultFormatTypes Commonest CommonestFilter CommonUnits CommunityBoundaryStyle CommunityGraphPlot CommunityLabels CommunityRegionStyle CompatibleUnitQ CompilationOptions CompilationTarget Compile Compiled CompiledFunction Complement CompleteGraph CompleteGraphQ CompleteKaryTree CompletionsListPacket Complex Complexes ComplexExpand ComplexInfinity ComplexityFunction ComponentMeasurements ComponentwiseContextMenu Compose ComposeList ComposeSeries Composition CompoundExpression CompoundPoissonDistribution CompoundPoissonProcess CompoundRenewalProcess Compress CompressedData Condition ConditionalExpression Conditioned Cone ConeBox ConfidenceLevel ConfidenceRange ConfidenceTransform ConfigurationPath Congruent Conjugate ConjugateTranspose Conjunction Connect ConnectedComponents ConnectedGraphQ ConnesWindow ConoverTest ConsoleMessage ConsoleMessagePacket ConsolePrint Constant ConstantArray Constants ConstrainedMax ConstrainedMin ContentPadding ContentsBoundingBox ContentSelectable ContentSize Context ContextMenu Contexts ContextToFilename ContextToFileName Continuation Continue ContinuedFraction ContinuedFractionK ContinuousAction ContinuousMarkovProcess ContinuousTimeModelQ ContinuousWaveletData ContinuousWaveletTransform ContourDetect ContourGraphics ContourIntegral ContourLabels ContourLines ContourPlot ContourPlot3D Contours ContourShading ContourSmoothing ContourStyle ContraharmonicMean Control ControlActive ControlAlignment ControllabilityGramian ControllabilityMatrix ControllableDecomposition ControllableModelQ ControllerDuration ControllerInformation ControllerInformationData ControllerLinking ControllerManipulate ControllerMethod ControllerPath ControllerState ControlPlacement ControlsRendering ControlType Convergents ConversionOptions ConversionRules ConvertToBitmapPacket ConvertToPostScript ConvertToPostScriptPacket Convolve ConwayGroupCo1 ConwayGroupCo2 ConwayGroupCo3 CoordinateChartData CoordinatesToolOptions CoordinateTransform CoordinateTransformData CoprimeQ Coproduct CopulaDistribution Copyable CopyDirectory CopyFile CopyTag CopyToClipboard CornerFilter CornerNeighbors Correlation CorrelationDistance CorrelationFunction CorrelationTest Cos Cosh CoshIntegral CosineDistance CosineWindow CosIntegral Cot Coth Count CounterAssignments CounterBox CounterBoxOptions CounterClockwiseContourIntegral CounterEvaluator CounterFunction CounterIncrements CounterStyle CounterStyleMenuListing CountRoots CountryData Covariance CovarianceEstimatorFunction CovarianceFunction CoxianDistribution CoxIngersollRossProcess CoxModel CoxModelFit CramerVonMisesTest CreateArchive CreateDialog CreateDirectory CreateDocument CreateIntermediateDirectories CreatePalette CreatePalettePacket CreateScheduledTask CreateTemporary CreateWindow CriticalityFailureImportance CriticalitySuccessImportance CriticalSection Cross CrossingDetect CrossMatrix Csc Csch CubeRoot Cubics Cuboid CuboidBox Cumulant CumulantGeneratingFunction Cup CupCap Curl CurlyDoubleQuote CurlyQuote CurrentImage CurrentlySpeakingPacket CurrentValue CurvatureFlowFilter CurveClosed Cyan CycleGraph CycleIndexPolynomial Cycles CyclicGroup Cyclotomic Cylinder CylinderBox CylindricalDecomposition D DagumDistribution DamerauLevenshteinDistance DampingFactor Darker Dashed Dashing DataCompression DataDistribution DataRange DataReversed Date DateDelimiters DateDifference DateFunction DateList DateListLogPlot DateListPlot DatePattern DatePlus DateRange DateString DateTicksFormat DaubechiesWavelet DavisDistribution DawsonF DayCount DayCountConvention DayMatchQ DayName DayPlus DayRange DayRound DeBruijnGraph Debug DebugTag Decimal DeclareKnownSymbols DeclarePackage Decompose Decrement DedekindEta Default DefaultAxesStyle DefaultBaseStyle DefaultBoxStyle DefaultButton DefaultColor DefaultControlPlacement DefaultDuplicateCellStyle DefaultDuration DefaultElement DefaultFaceGridsStyle DefaultFieldHintStyle DefaultFont DefaultFontProperties DefaultFormatType DefaultFormatTypeForStyle DefaultFrameStyle DefaultFrameTicksStyle DefaultGridLinesStyle DefaultInlineFormatType DefaultInputFormatType DefaultLabelStyle DefaultMenuStyle DefaultNaturalLanguage DefaultNewCellStyle DefaultNewInlineCellStyle DefaultNotebook DefaultOptions DefaultOutputFormatType DefaultStyle DefaultStyleDefinitions DefaultTextFormatType DefaultTextInlineFormatType DefaultTicksStyle DefaultTooltipStyle DefaultValues Defer DefineExternal DefineInputStreamMethod DefineOutputStreamMethod Definition Degree DegreeCentrality DegreeGraphDistribution DegreeLexicographic DegreeReverseLexicographic Deinitialization Del Deletable Delete DeleteBorderComponents DeleteCases DeleteContents DeleteDirectory DeleteDuplicates DeleteFile DeleteSmallComponents DeleteWithContents DeletionWarning Delimiter DelimiterFlashTime DelimiterMatching Delimiters Denominator DensityGraphics DensityHistogram DensityPlot DependentVariables Deploy Deployed Depth DepthFirstScan Derivative DerivativeFilter DescriptorStateSpace DesignMatrix Det DGaussianWavelet DiacriticalPositioning Diagonal DiagonalMatrix Dialog DialogIndent DialogInput DialogLevel DialogNotebook DialogProlog DialogReturn DialogSymbols Diamond DiamondMatrix DiceDissimilarity DictionaryLookup DifferenceDelta DifferenceOrder DifferenceRoot DifferenceRootReduce Differences DifferentialD DifferentialRoot DifferentialRootReduce DifferentiatorFilter DigitBlock DigitBlockMinimum DigitCharacter DigitCount DigitQ DihedralGroup Dilation Dimensions DiracComb DiracDelta DirectedEdge DirectedEdges DirectedGraph DirectedGraphQ DirectedInfinity Direction Directive Directory DirectoryName DirectoryQ DirectoryStack DirichletCharacter DirichletConvolve DirichletDistribution DirichletL DirichletTransform DirichletWindow DisableConsolePrintPacket DiscreteChirpZTransform DiscreteConvolve DiscreteDelta DiscreteHadamardTransform DiscreteIndicator DiscreteLQEstimatorGains DiscreteLQRegulatorGains DiscreteLyapunovSolve DiscreteMarkovProcess DiscretePlot DiscretePlot3D DiscreteRatio DiscreteRiccatiSolve DiscreteShift DiscreteTimeModelQ DiscreteUniformDistribution DiscreteVariables DiscreteWaveletData DiscreteWaveletPacketTransform DiscreteWaveletTransform Discriminant Disjunction Disk DiskBox DiskMatrix Dispatch DispersionEstimatorFunction Display DisplayAllSteps DisplayEndPacket DisplayFlushImagePacket DisplayForm DisplayFunction DisplayPacket DisplayRules DisplaySetSizePacket DisplayString DisplayTemporary DisplayWith DisplayWithRef DisplayWithVariable DistanceFunction DistanceTransform Distribute Distributed DistributedContexts DistributeDefinitions DistributionChart DistributionDomain DistributionFitTest DistributionParameterAssumptions DistributionParameterQ Dithering Div Divergence Divide DivideBy Dividers Divisible Divisors DivisorSigma DivisorSum DMSList DMSString Do DockedCells DocumentNotebook DominantColors DOSTextFormat Dot DotDashed DotEqual Dotted DoubleBracketingBar DoubleContourIntegral DoubleDownArrow DoubleLeftArrow DoubleLeftRightArrow DoubleLeftTee DoubleLongLeftArrow DoubleLongLeftRightArrow DoubleLongRightArrow DoubleRightArrow DoubleRightTee DoubleUpArrow DoubleUpDownArrow DoubleVerticalBar DoublyInfinite Down DownArrow DownArrowBar DownArrowUpArrow DownLeftRightVector DownLeftTeeVector DownLeftVector DownLeftVectorBar DownRightTeeVector DownRightVector DownRightVectorBar Downsample DownTee DownTeeArrow DownValues DragAndDrop DrawEdges DrawFrontFaces DrawHighlighted Drop DSolve Dt DualLinearProgramming DualSystemsModel DumpGet DumpSave DuplicateFreeQ Dynamic DynamicBox DynamicBoxOptions DynamicEvaluationTimeout DynamicLocation DynamicModule DynamicModuleBox DynamicModuleBoxOptions DynamicModuleParent DynamicModuleValues DynamicName DynamicNamespace DynamicReference DynamicSetting DynamicUpdating DynamicWrapper DynamicWrapperBox DynamicWrapperBoxOptions E EccentricityCentrality EdgeAdd EdgeBetweennessCentrality EdgeCapacity EdgeCapForm EdgeColor EdgeConnectivity EdgeCost EdgeCount EdgeCoverQ EdgeDashing EdgeDelete EdgeDetect EdgeForm EdgeIndex EdgeJoinForm EdgeLabeling EdgeLabels EdgeLabelStyle EdgeList EdgeOpacity EdgeQ EdgeRenderingFunction EdgeRules EdgeShapeFunction EdgeStyle EdgeThickness EdgeWeight Editable EditButtonSettings EditCellTagsSettings EditDistance EffectiveInterest Eigensystem Eigenvalues EigenvectorCentrality Eigenvectors Element ElementData Eliminate EliminationOrder EllipticE EllipticExp EllipticExpPrime EllipticF EllipticFilterModel EllipticK EllipticLog EllipticNomeQ EllipticPi EllipticReducedHalfPeriods EllipticTheta EllipticThetaPrime EmitSound EmphasizeSyntaxErrors EmpiricalDistribution Empty EmptyGraphQ EnableConsolePrintPacket Enabled Encode End EndAdd EndDialogPacket EndFrontEndInteractionPacket EndOfFile EndOfLine EndOfString EndPackage EngineeringForm Enter EnterExpressionPacket EnterTextPacket Entropy EntropyFilter Environment Epilog Equal EqualColumns EqualRows EqualTilde EquatedTo Equilibrium EquirippleFilterKernel Equivalent Erf Erfc Erfi ErlangB ErlangC ErlangDistribution Erosion ErrorBox ErrorBoxOptions ErrorNorm ErrorPacket ErrorsDialogSettings EstimatedDistribution EstimatedProcess EstimatorGains EstimatorRegulator EuclideanDistance EulerE EulerGamma EulerianGraphQ EulerPhi Evaluatable Evaluate Evaluated EvaluatePacket EvaluationCell EvaluationCompletionAction EvaluationElements EvaluationMode EvaluationMonitor EvaluationNotebook EvaluationObject EvaluationOrder Evaluator EvaluatorNames EvenQ EventData EventEvaluator EventHandler EventHandlerTag EventLabels ExactBlackmanWindow ExactNumberQ ExactRootIsolation ExampleData Except ExcludedForms ExcludePods Exclusions ExclusionsStyle Exists Exit ExitDialog Exp Expand ExpandAll ExpandDenominator ExpandFileName ExpandNumerator Expectation ExpectationE ExpectedValue ExpGammaDistribution ExpIntegralE ExpIntegralEi Exponent ExponentFunction ExponentialDistribution ExponentialFamily ExponentialGeneratingFunction ExponentialMovingAverage ExponentialPowerDistribution ExponentPosition ExponentStep Export ExportAutoReplacements ExportPacket ExportString Expression ExpressionCell ExpressionPacket ExpToTrig ExtendedGCD Extension ExtentElementFunction ExtentMarkers ExtentSize ExternalCall ExternalDataCharacterEncoding Extract ExtractArchive ExtremeValueDistribution FaceForm FaceGrids FaceGridsStyle Factor FactorComplete Factorial Factorial2 FactorialMoment FactorialMomentGeneratingFunction FactorialPower FactorInteger FactorList FactorSquareFree FactorSquareFreeList FactorTerms FactorTermsList Fail FailureDistribution False FARIMAProcess FEDisableConsolePrintPacket FeedbackSector FeedbackSectorStyle FeedbackType FEEnableConsolePrintPacket Fibonacci FieldHint FieldHintStyle FieldMasked FieldSize File FileBaseName FileByteCount FileDate FileExistsQ FileExtension FileFormat FileHash FileInformation FileName FileNameDepth FileNameDialogSettings FileNameDrop FileNameJoin FileNames FileNameSetter FileNameSplit FileNameTake FilePrint FileType FilledCurve FilledCurveBox Filling FillingStyle FillingTransform FilterRules FinancialBond FinancialData FinancialDerivative FinancialIndicator Find FindArgMax FindArgMin FindClique FindClusters FindCurvePath FindDistributionParameters FindDivisions FindEdgeCover FindEdgeCut FindEulerianCycle FindFaces FindFile FindFit FindGeneratingFunction FindGeoLocation FindGeometricTransform FindGraphCommunities FindGraphIsomorphism FindGraphPartition FindHamiltonianCycle FindIndependentEdgeSet FindIndependentVertexSet FindInstance FindIntegerNullVector FindKClan FindKClique FindKClub FindKPlex FindLibrary FindLinearRecurrence FindList FindMaximum FindMaximumFlow FindMaxValue FindMinimum FindMinimumCostFlow FindMinimumCut FindMinValue FindPermutation FindPostmanTour FindProcessParameters FindRoot FindSequenceFunction FindSettings FindShortestPath FindShortestTour FindThreshold FindVertexCover FindVertexCut Fine FinishDynamic FiniteAbelianGroupCount FiniteGroupCount FiniteGroupData First FirstPassageTimeDistribution FischerGroupFi22 FischerGroupFi23 FischerGroupFi24Prime FisherHypergeometricDistribution FisherRatioTest FisherZDistribution Fit FitAll FittedModel FixedPoint FixedPointList FlashSelection Flat Flatten FlattenAt FlatTopWindow FlipView Floor FlushPrintOutputPacket Fold FoldList Font FontColor FontFamily FontForm FontName FontOpacity FontPostScriptName FontProperties FontReencoding FontSize FontSlant FontSubstitutions FontTracking FontVariations FontWeight For ForAll Format FormatRules FormatType FormatTypeAutoConvert FormatValues FormBox FormBoxOptions FortranForm Forward ForwardBackward Fourier FourierCoefficient FourierCosCoefficient FourierCosSeries FourierCosTransform FourierDCT FourierDCTFilter FourierDCTMatrix FourierDST FourierDSTMatrix FourierMatrix FourierParameters FourierSequenceTransform FourierSeries FourierSinCoefficient FourierSinSeries FourierSinTransform FourierTransform FourierTrigSeries FractionalBrownianMotionProcess FractionalPart FractionBox FractionBoxOptions FractionLine Frame FrameBox FrameBoxOptions Framed FrameInset FrameLabel Frameless FrameMargins FrameStyle FrameTicks FrameTicksStyle FRatioDistribution FrechetDistribution FreeQ FrequencySamplingFilterKernel FresnelC FresnelS Friday FrobeniusNumber FrobeniusSolve FromCharacterCode FromCoefficientRules FromContinuedFraction FromDate FromDigits FromDMS Front FrontEndDynamicExpression FrontEndEventActions FrontEndExecute FrontEndObject FrontEndResource FrontEndResourceString FrontEndStackSize FrontEndToken FrontEndTokenExecute FrontEndValueCache FrontEndVersion FrontFaceColor FrontFaceOpacity Full FullAxes FullDefinition FullForm FullGraphics FullOptions FullSimplify Function FunctionExpand FunctionInterpolation FunctionSpace FussellVeselyImportance GaborFilter GaborMatrix GaborWavelet GainMargins GainPhaseMargins Gamma GammaDistribution GammaRegularized GapPenalty Gather GatherBy GaugeFaceElementFunction GaugeFaceStyle GaugeFrameElementFunction GaugeFrameSize GaugeFrameStyle GaugeLabels GaugeMarkers GaugeStyle GaussianFilter GaussianIntegers GaussianMatrix GaussianWindow GCD GegenbauerC General GeneralizedLinearModelFit GenerateConditions GeneratedCell GeneratedParameters GeneratingFunction Generic GenericCylindricalDecomposition GenomeData GenomeLookup GeodesicClosing GeodesicDilation GeodesicErosion GeodesicOpening GeoDestination GeodesyData GeoDirection GeoDistance GeoGridPosition GeometricBrownianMotionProcess GeometricDistribution GeometricMean GeometricMeanFilter GeometricTransformation GeometricTransformation3DBox GeometricTransformation3DBoxOptions GeometricTransformationBox GeometricTransformationBoxOptions GeoPosition GeoPositionENU GeoPositionXYZ GeoProjectionData GestureHandler GestureHandlerTag Get GetBoundingBoxSizePacket GetContext GetEnvironment GetFileName GetFrontEndOptionsDataPacket GetLinebreakInformationPacket GetMenusPacket GetPageBreakInformationPacket Glaisher GlobalClusteringCoefficient GlobalPreferences GlobalSession Glow GoldenRatio GompertzMakehamDistribution GoodmanKruskalGamma GoodmanKruskalGammaTest Goto Grad Gradient GradientFilter GradientOrientationFilter Graph GraphAssortativity GraphCenter GraphComplement GraphData GraphDensity GraphDiameter GraphDifference GraphDisjointUnion GraphDistance GraphDistanceMatrix GraphElementData GraphEmbedding GraphHighlight GraphHighlightStyle GraphHub Graphics Graphics3D Graphics3DBox Graphics3DBoxOptions GraphicsArray GraphicsBaseline GraphicsBox GraphicsBoxOptions GraphicsColor GraphicsColumn GraphicsComplex GraphicsComplex3DBox GraphicsComplex3DBoxOptions GraphicsComplexBox GraphicsComplexBoxOptions GraphicsContents GraphicsData GraphicsGrid GraphicsGridBox GraphicsGroup GraphicsGroup3DBox GraphicsGroup3DBoxOptions GraphicsGroupBox GraphicsGroupBoxOptions GraphicsGrouping GraphicsHighlightColor GraphicsRow GraphicsSpacing GraphicsStyle GraphIntersection GraphLayout GraphLinkEfficiency GraphPeriphery GraphPlot GraphPlot3D GraphPower GraphPropertyDistribution GraphQ GraphRadius GraphReciprocity GraphRoot GraphStyle GraphUnion Gray GrayLevel GreatCircleDistance Greater GreaterEqual GreaterEqualLess GreaterFullEqual GreaterGreater GreaterLess GreaterSlantEqual GreaterTilde Green Grid GridBaseline GridBox GridBoxAlignment GridBoxBackground GridBoxDividers GridBoxFrame GridBoxItemSize GridBoxItemStyle GridBoxOptions GridBoxSpacings GridCreationSettings GridDefaultElement GridElementStyleOptions GridFrame GridFrameMargins GridGraph GridLines GridLinesStyle GroebnerBasis GroupActionBase GroupCentralizer GroupElementFromWord GroupElementPosition GroupElementQ GroupElements GroupElementToWord GroupGenerators GroupMultiplicationTable GroupOrbits GroupOrder GroupPageBreakWithin GroupSetwiseStabilizer GroupStabilizer GroupStabilizerChain Gudermannian GumbelDistribution HaarWavelet HadamardMatrix HalfNormalDistribution HamiltonianGraphQ HammingDistance HammingWindow HankelH1 HankelH2 HankelMatrix HannPoissonWindow HannWindow HaradaNortonGroupHN HararyGraph HarmonicMean HarmonicMeanFilter HarmonicNumber Hash HashTable Haversine HazardFunction Head HeadCompose Heads HeavisideLambda HeavisidePi HeavisideTheta HeldGroupHe HeldPart HelpBrowserLookup HelpBrowserNotebook HelpBrowserSettings HermiteDecomposition HermiteH HermitianMatrixQ HessenbergDecomposition Hessian HexadecimalCharacter Hexahedron HexahedronBox HexahedronBoxOptions HiddenSurface HighlightGraph HighlightImage HighpassFilter HigmanSimsGroupHS HilbertFilter HilbertMatrix Histogram Histogram3D HistogramDistribution HistogramList HistogramTransform HistogramTransformInterpolation HitMissTransform HITSCentrality HodgeDual HoeffdingD HoeffdingDTest Hold HoldAll HoldAllComplete HoldComplete HoldFirst HoldForm HoldPattern HoldRest HolidayCalendar HomeDirectory HomePage Horizontal HorizontalForm HorizontalGauge HorizontalScrollPosition HornerForm HotellingTSquareDistribution HoytDistribution HTMLSave Hue HumpDownHump HumpEqual HurwitzLerchPhi HurwitzZeta HyperbolicDistribution HypercubeGraph HyperexponentialDistribution Hyperfactorial Hypergeometric0F1 Hypergeometric0F1Regularized Hypergeometric1F1 Hypergeometric1F1Regularized Hypergeometric2F1 Hypergeometric2F1Regularized HypergeometricDistribution HypergeometricPFQ HypergeometricPFQRegularized HypergeometricU Hyperlink HyperlinkCreationSettings Hyphenation HyphenationOptions HypoexponentialDistribution HypothesisTestData I Identity IdentityMatrix If IgnoreCase Im Image Image3D Image3DSlices ImageAccumulate ImageAdd ImageAdjust ImageAlign ImageApply ImageAspectRatio ImageAssemble ImageCache ImageCacheValid ImageCapture ImageChannels ImageClip ImageColorSpace ImageCompose ImageConvolve ImageCooccurrence ImageCorners ImageCorrelate ImageCorrespondingPoints ImageCrop ImageData ImageDataPacket ImageDeconvolve ImageDemosaic ImageDifference ImageDimensions ImageDistance ImageEffect ImageFeatureTrack ImageFileApply ImageFileFilter ImageFileScan ImageFilter ImageForestingComponents ImageForwardTransformation ImageHistogram ImageKeypoints ImageLevels ImageLines ImageMargins ImageMarkers ImageMeasurements ImageMultiply ImageOffset ImagePad ImagePadding ImagePartition ImagePeriodogram ImagePerspectiveTransformation ImageQ ImageRangeCache ImageReflect ImageRegion ImageResize ImageResolution ImageRotate ImageRotated ImageScaled ImageScan ImageSize ImageSizeAction ImageSizeCache ImageSizeMultipliers ImageSizeRaw ImageSubtract ImageTake ImageTransformation ImageTrim ImageType ImageValue ImageValuePositions Implies Import ImportAutoReplacements ImportString ImprovementImportance In IncidenceGraph IncidenceList IncidenceMatrix IncludeConstantBasis IncludeFileExtension IncludePods IncludeSingularTerm Increment Indent IndentingNewlineSpacings IndentMaxFraction IndependenceTest IndependentEdgeSetQ IndependentUnit IndependentVertexSetQ Indeterminate IndexCreationOptions Indexed IndexGraph IndexTag Inequality InexactNumberQ InexactNumbers Infinity Infix Information Inherited InheritScope Initialization InitializationCell InitializationCellEvaluation InitializationCellWarning InlineCounterAssignments InlineCounterIncrements InlineRules Inner Inpaint Input InputAliases InputAssumptions InputAutoReplacements InputField InputFieldBox InputFieldBoxOptions InputForm InputGrouping InputNamePacket InputNotebook InputPacket InputSettings InputStream InputString InputStringPacket InputToBoxFormPacket Insert InsertionPointObject InsertResults Inset Inset3DBox Inset3DBoxOptions InsetBox InsetBoxOptions Install InstallService InString Integer IntegerDigits IntegerExponent IntegerLength IntegerPart IntegerPartitions IntegerQ Integers IntegerString Integral Integrate Interactive InteractiveTradingChart Interlaced Interleaving InternallyBalancedDecomposition InterpolatingFunction InterpolatingPolynomial Interpolation InterpolationOrder InterpolationPoints InterpolationPrecision Interpretation InterpretationBox InterpretationBoxOptions InterpretationFunction InterpretTemplate InterquartileRange Interrupt InterruptSettings Intersection Interval IntervalIntersection IntervalMemberQ IntervalUnion Inverse InverseBetaRegularized InverseCDF InverseChiSquareDistribution InverseContinuousWaveletTransform InverseDistanceTransform InverseEllipticNomeQ InverseErf InverseErfc InverseFourier InverseFourierCosTransform InverseFourierSequenceTransform InverseFourierSinTransform InverseFourierTransform InverseFunction InverseFunctions InverseGammaDistribution InverseGammaRegularized InverseGaussianDistribution InverseGudermannian InverseHaversine InverseJacobiCD InverseJacobiCN InverseJacobiCS InverseJacobiDC InverseJacobiDN InverseJacobiDS InverseJacobiNC InverseJacobiND InverseJacobiNS InverseJacobiSC InverseJacobiSD InverseJacobiSN InverseLaplaceTransform InversePermutation InverseRadon InverseSeries InverseSurvivalFunction InverseWaveletTransform InverseWeierstrassP InverseZTransform Invisible InvisibleApplication InvisibleTimes IrreduciblePolynomialQ IsolatingInterval IsomorphicGraphQ IsotopeData Italic Item ItemBox ItemBoxOptions ItemSize ItemStyle ItoProcess JaccardDissimilarity JacobiAmplitude Jacobian JacobiCD JacobiCN JacobiCS JacobiDC JacobiDN JacobiDS JacobiNC JacobiND JacobiNS JacobiP JacobiSC JacobiSD JacobiSN JacobiSymbol JacobiZeta JankoGroupJ1 JankoGroupJ2 JankoGroupJ3 JankoGroupJ4 JarqueBeraALMTest JohnsonDistribution Join Joined JoinedCurve JoinedCurveBox JoinForm JordanDecomposition JordanModelDecomposition K KagiChart KaiserBesselWindow KaiserWindow KalmanEstimator KalmanFilter KarhunenLoeveDecomposition KaryTree KatzCentrality KCoreComponents KDistribution KelvinBei KelvinBer KelvinKei KelvinKer KendallTau KendallTauTest KernelExecute KernelMixtureDistribution KernelObject Kernels Ket Khinchin KirchhoffGraph KirchhoffMatrix KleinInvariantJ KnightTourGraph KnotData KnownUnitQ KolmogorovSmirnovTest KroneckerDelta KroneckerModelDecomposition KroneckerProduct KroneckerSymbol KuiperTest KumaraswamyDistribution Kurtosis KuwaharaFilter Label Labeled LabeledSlider LabelingFunction LabelStyle LaguerreL LambdaComponents LambertW LanczosWindow LandauDistribution Language LanguageCategory LaplaceDistribution LaplaceTransform Laplacian LaplacianFilter LaplacianGaussianFilter Large Larger Last Latitude LatitudeLongitude LatticeData LatticeReduce Launch LaunchKernels LayeredGraphPlot LayerSizeFunction LayoutInformation LCM LeafCount LeapYearQ LeastSquares LeastSquaresFilterKernel Left LeftArrow LeftArrowBar LeftArrowRightArrow LeftDownTeeVector LeftDownVector LeftDownVectorBar LeftRightArrow LeftRightVector LeftTee LeftTeeArrow LeftTeeVector LeftTriangle LeftTriangleBar LeftTriangleEqual LeftUpDownVector LeftUpTeeVector LeftUpVector LeftUpVectorBar LeftVector LeftVectorBar LegendAppearance Legended LegendFunction LegendLabel LegendLayout LegendMargins LegendMarkers LegendMarkerSize LegendreP LegendreQ LegendreType Length LengthWhile LerchPhi Less LessEqual LessEqualGreater LessFullEqual LessGreater LessLess LessSlantEqual LessTilde LetterCharacter LetterQ Level LeveneTest LeviCivitaTensor LevyDistribution Lexicographic LibraryFunction LibraryFunctionError LibraryFunctionInformation LibraryFunctionLoad LibraryFunctionUnload LibraryLoad LibraryUnload LicenseID LiftingFilterData LiftingWaveletTransform LightBlue LightBrown LightCyan Lighter LightGray LightGreen Lighting LightingAngle LightMagenta LightOrange LightPink LightPurple LightRed LightSources LightYellow Likelihood Limit LimitsPositioning LimitsPositioningTokens LindleyDistribution Line Line3DBox LinearFilter LinearFractionalTransform LinearModelFit LinearOffsetFunction LinearProgramming LinearRecurrence LinearSolve LinearSolveFunction LineBox LineBreak LinebreakAdjustments LineBreakChart LineBreakWithin LineColor LineForm LineGraph LineIndent LineIndentMaxFraction LineIntegralConvolutionPlot LineIntegralConvolutionScale LineLegend LineOpacity LineSpacing LineWrapParts LinkActivate LinkClose LinkConnect LinkConnectedQ LinkCreate LinkError LinkFlush LinkFunction LinkHost LinkInterrupt LinkLaunch LinkMode LinkObject LinkOpen LinkOptions LinkPatterns LinkProtocol LinkRead LinkReadHeld LinkReadyQ Links LinkWrite LinkWriteHeld LiouvilleLambda List Listable ListAnimate ListContourPlot ListContourPlot3D ListConvolve ListCorrelate ListCurvePathPlot ListDeconvolve ListDensityPlot Listen ListFourierSequenceTransform ListInterpolation ListLineIntegralConvolutionPlot ListLinePlot ListLogLinearPlot ListLogLogPlot ListLogPlot ListPicker ListPickerBox ListPickerBoxBackground ListPickerBoxOptions ListPlay ListPlot ListPlot3D ListPointPlot3D ListPolarPlot ListQ ListStreamDensityPlot ListStreamPlot ListSurfacePlot3D ListVectorDensityPlot ListVectorPlot ListVectorPlot3D ListZTransform Literal LiteralSearch LocalClusteringCoefficient LocalizeVariables LocationEquivalenceTest LocationTest Locator LocatorAutoCreate LocatorBox LocatorBoxOptions LocatorCentering LocatorPane LocatorPaneBox LocatorPaneBoxOptions LocatorRegion Locked Log Log10 Log2 LogBarnesG LogGamma LogGammaDistribution LogicalExpand LogIntegral LogisticDistribution LogitModelFit LogLikelihood LogLinearPlot LogLogisticDistribution LogLogPlot LogMultinormalDistribution LogNormalDistribution LogPlot LogRankTest LogSeriesDistribution LongEqual Longest LongestAscendingSequence LongestCommonSequence LongestCommonSequencePositions LongestCommonSubsequence LongestCommonSubsequencePositions LongestMatch LongForm Longitude LongLeftArrow LongLeftRightArrow LongRightArrow Loopback LoopFreeGraphQ LowerCaseQ LowerLeftArrow LowerRightArrow LowerTriangularize LowpassFilter LQEstimatorGains LQGRegulator LQOutputRegulatorGains LQRegulatorGains LUBackSubstitution LucasL LuccioSamiComponents LUDecomposition LyapunovSolve LyonsGroupLy MachineID MachineName MachineNumberQ MachinePrecision MacintoshSystemPageSetup Magenta Magnification Magnify MainSolve MaintainDynamicCaches Majority MakeBoxes MakeExpression MakeRules MangoldtLambda ManhattanDistance Manipulate Manipulator MannWhitneyTest MantissaExponent Manual Map MapAll MapAt MapIndexed MAProcess MapThread MarcumQ MardiaCombinedTest MardiaKurtosisTest MardiaSkewnessTest MarginalDistribution MarkovProcessProperties Masking MatchingDissimilarity MatchLocalNameQ MatchLocalNames MatchQ Material MathematicaNotation MathieuC MathieuCharacteristicA MathieuCharacteristicB MathieuCharacteristicExponent MathieuCPrime MathieuGroupM11 MathieuGroupM12 MathieuGroupM22 MathieuGroupM23 MathieuGroupM24 MathieuS MathieuSPrime MathMLForm MathMLText Matrices MatrixExp MatrixForm MatrixFunction MatrixLog MatrixPlot MatrixPower MatrixQ MatrixRank Max MaxBend MaxDetect MaxExtraBandwidths MaxExtraConditions MaxFeatures MaxFilter Maximize MaxIterations MaxMemoryUsed MaxMixtureKernels MaxPlotPoints MaxPoints MaxRecursion MaxStableDistribution MaxStepFraction MaxSteps MaxStepSize MaxValue MaxwellDistribution McLaughlinGroupMcL Mean MeanClusteringCoefficient MeanDegreeConnectivity MeanDeviation MeanFilter MeanGraphDistance MeanNeighborDegree MeanShift MeanShiftFilter Median MedianDeviation MedianFilter Medium MeijerG MeixnerDistribution MemberQ MemoryConstrained MemoryInUse Menu MenuAppearance MenuCommandKey MenuEvaluator MenuItem MenuPacket MenuSortingValue MenuStyle MenuView MergeDifferences Mesh MeshFunctions MeshRange MeshShading MeshStyle Message MessageDialog MessageList MessageName MessageOptions MessagePacket Messages MessagesNotebook MetaCharacters MetaInformation Method MethodOptions MexicanHatWavelet MeyerWavelet Min MinDetect MinFilter MinimalPolynomial MinimalStateSpaceModel Minimize Minors MinRecursion MinSize MinStableDistribution Minus MinusPlus MinValue Missing MissingDataMethod MittagLefflerE MixedRadix MixedRadixQuantity MixtureDistribution Mod Modal Mode Modular ModularLambda Module Modulus MoebiusMu Moment Momentary MomentConvert MomentEvaluate MomentGeneratingFunction Monday Monitor MonomialList MonomialOrder MonsterGroupM MorletWavelet MorphologicalBinarize MorphologicalBranchPoints MorphologicalComponents MorphologicalEulerNumber MorphologicalGraph MorphologicalPerimeter MorphologicalTransform Most MouseAnnotation MouseAppearance MouseAppearanceTag MouseButtons Mouseover MousePointerNote MousePosition MovingAverage MovingMedian MoyalDistribution MultiedgeStyle MultilaunchWarning MultiLetterItalics MultiLetterStyle MultilineFunction Multinomial MultinomialDistribution MultinormalDistribution MultiplicativeOrder Multiplicity Multiselection MultivariateHypergeometricDistribution MultivariatePoissonDistribution MultivariateTDistribution N NakagamiDistribution NameQ Names NamespaceBox Nand NArgMax NArgMin NBernoulliB NCache NDSolve NDSolveValue Nearest NearestFunction NeedCurrentFrontEndPackagePacket NeedCurrentFrontEndSymbolsPacket NeedlemanWunschSimilarity Needs Negative NegativeBinomialDistribution NegativeMultinomialDistribution NeighborhoodGraph Nest NestedGreaterGreater NestedLessLess NestedScriptRules NestList NestWhile NestWhileList NevilleThetaC NevilleThetaD NevilleThetaN NevilleThetaS NewPrimitiveStyle NExpectation Next NextPrime NHoldAll NHoldFirst NHoldRest NicholsGridLines NicholsPlot NIntegrate NMaximize NMaxValue NMinimize NMinValue NominalVariables NonAssociative NoncentralBetaDistribution NoncentralChiSquareDistribution NoncentralFRatioDistribution NoncentralStudentTDistribution NonCommutativeMultiply NonConstants None NonlinearModelFit NonlocalMeansFilter NonNegative NonPositive Nor NorlundB Norm Normal NormalDistribution NormalGrouping Normalize NormalizedSquaredEuclideanDistance NormalsFunction NormFunction Not NotCongruent NotCupCap NotDoubleVerticalBar Notebook NotebookApply NotebookAutoSave NotebookClose NotebookConvertSettings NotebookCreate NotebookCreateReturnObject NotebookDefault NotebookDelete NotebookDirectory NotebookDynamicExpression NotebookEvaluate NotebookEventActions NotebookFileName NotebookFind NotebookFindReturnObject NotebookGet NotebookGetLayoutInformationPacket NotebookGetMisspellingsPacket NotebookInformation NotebookInterfaceObject NotebookLocate NotebookObject NotebookOpen NotebookOpenReturnObject NotebookPath NotebookPrint NotebookPut NotebookPutReturnObject NotebookRead NotebookResetGeneratedCells Notebooks NotebookSave NotebookSaveAs NotebookSelection NotebookSetupLayoutInformationPacket NotebooksMenu NotebookWrite NotElement NotEqualTilde NotExists NotGreater NotGreaterEqual NotGreaterFullEqual NotGreaterGreater NotGreaterLess NotGreaterSlantEqual NotGreaterTilde NotHumpDownHump NotHumpEqual NotLeftTriangle NotLeftTriangleBar NotLeftTriangleEqual NotLess NotLessEqual NotLessFullEqual NotLessGreater NotLessLess NotLessSlantEqual NotLessTilde NotNestedGreaterGreater NotNestedLessLess NotPrecedes NotPrecedesEqual NotPrecedesSlantEqual NotPrecedesTilde NotReverseElement NotRightTriangle NotRightTriangleBar NotRightTriangleEqual NotSquareSubset NotSquareSubsetEqual NotSquareSuperset NotSquareSupersetEqual NotSubset NotSubsetEqual NotSucceeds NotSucceedsEqual NotSucceedsSlantEqual NotSucceedsTilde NotSuperset NotSupersetEqual NotTilde NotTildeEqual NotTildeFullEqual NotTildeTilde NotVerticalBar NProbability NProduct NProductFactors NRoots NSolve NSum NSumTerms Null NullRecords NullSpace NullWords Number NumberFieldClassNumber NumberFieldDiscriminant NumberFieldFundamentalUnits NumberFieldIntegralBasis NumberFieldNormRepresentatives NumberFieldRegulator NumberFieldRootsOfUnity NumberFieldSignature NumberForm NumberFormat NumberMarks NumberMultiplier NumberPadding NumberPoint NumberQ NumberSeparator NumberSigns NumberString Numerator NumericFunction NumericQ NuttallWindow NValues NyquistGridLines NyquistPlot O ObservabilityGramian ObservabilityMatrix ObservableDecomposition ObservableModelQ OddQ Off Offset OLEData On ONanGroupON OneIdentity Opacity Open OpenAppend Opener OpenerBox OpenerBoxOptions OpenerView OpenFunctionInspectorPacket Opening OpenRead OpenSpecialOptions OpenTemporary OpenWrite Operate OperatingSystem OptimumFlowData Optional OptionInspectorSettings OptionQ Options OptionsPacket OptionsPattern OptionValue OptionValueBox OptionValueBoxOptions Or Orange Order OrderDistribution OrderedQ Ordering Orderless OrnsteinUhlenbeckProcess Orthogonalize Out Outer OutputAutoOverwrite OutputControllabilityMatrix OutputControllableModelQ OutputForm OutputFormData OutputGrouping OutputMathEditExpression OutputNamePacket OutputResponse OutputSizeLimit OutputStream Over OverBar OverDot Overflow OverHat Overlaps Overlay OverlayBox OverlayBoxOptions Overscript OverscriptBox OverscriptBoxOptions OverTilde OverVector OwenT OwnValues PackingMethod PaddedForm Padding PadeApproximant PadLeft PadRight PageBreakAbove PageBreakBelow PageBreakWithin PageFooterLines PageFooters PageHeaderLines PageHeaders PageHeight PageRankCentrality PageWidth PairedBarChart PairedHistogram PairedSmoothHistogram PairedTTest PairedZTest PaletteNotebook PalettePath Pane PaneBox PaneBoxOptions Panel PanelBox PanelBoxOptions Paneled PaneSelector PaneSelectorBox PaneSelectorBoxOptions PaperWidth ParabolicCylinderD ParagraphIndent ParagraphSpacing ParallelArray ParallelCombine ParallelDo ParallelEvaluate Parallelization Parallelize ParallelMap ParallelNeeds ParallelProduct ParallelSubmit ParallelSum ParallelTable ParallelTry Parameter ParameterEstimator ParameterMixtureDistribution ParameterVariables ParametricFunction ParametricNDSolve ParametricNDSolveValue ParametricPlot ParametricPlot3D ParentConnect ParentDirectory ParentForm Parenthesize ParentList ParetoDistribution Part PartialCorrelationFunction PartialD ParticleData Partition PartitionsP PartitionsQ ParzenWindow PascalDistribution PassEventsDown PassEventsUp Paste PasteBoxFormInlineCells PasteButton Path PathGraph PathGraphQ Pattern PatternSequence PatternTest PauliMatrix PaulWavelet Pause PausedTime PDF PearsonChiSquareTest PearsonCorrelationTest PearsonDistribution PerformanceGoal PeriodicInterpolation Periodogram PeriodogramArray PermutationCycles PermutationCyclesQ PermutationGroup PermutationLength PermutationList PermutationListQ PermutationMax PermutationMin PermutationOrder PermutationPower PermutationProduct PermutationReplace Permutations PermutationSupport Permute PeronaMalikFilter Perpendicular PERTDistribution PetersenGraph PhaseMargins Pi Pick PIDData PIDDerivativeFilter PIDFeedforward PIDTune Piecewise PiecewiseExpand PieChart PieChart3D PillaiTrace PillaiTraceTest Pink Pivoting PixelConstrained PixelValue PixelValuePositions Placed Placeholder PlaceholderReplace Plain PlanarGraphQ Play PlayRange Plot Plot3D Plot3Matrix PlotDivision PlotJoined PlotLabel PlotLayout PlotLegends PlotMarkers PlotPoints PlotRange PlotRangeClipping PlotRangePadding PlotRegion PlotStyle Plus PlusMinus Pochhammer PodStates PodWidth Point Point3DBox PointBox PointFigureChart PointForm PointLegend PointSize PoissonConsulDistribution PoissonDistribution PoissonProcess PoissonWindow PolarAxes PolarAxesOrigin PolarGridLines PolarPlot PolarTicks PoleZeroMarkers PolyaAeppliDistribution PolyGamma Polygon Polygon3DBox Polygon3DBoxOptions PolygonBox PolygonBoxOptions PolygonHoleScale PolygonIntersections PolygonScale PolyhedronData PolyLog PolynomialExtendedGCD PolynomialForm PolynomialGCD PolynomialLCM PolynomialMod PolynomialQ PolynomialQuotient PolynomialQuotientRemainder PolynomialReduce PolynomialRemainder Polynomials PopupMenu PopupMenuBox PopupMenuBoxOptions PopupView PopupWindow Position Positive PositiveDefiniteMatrixQ PossibleZeroQ Postfix PostScript Power PowerDistribution PowerExpand PowerMod PowerModList PowerSpectralDensity PowersRepresentations PowerSymmetricPolynomial Precedence PrecedenceForm Precedes PrecedesEqual PrecedesSlantEqual PrecedesTilde Precision PrecisionGoal PreDecrement PredictionRoot PreemptProtect PreferencesPath Prefix PreIncrement Prepend PrependTo 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mean_lognormal mean_negative_binomial mean_noncentral_chi2 mean_noncentral_student_t mean_normal mean_pareto mean_poisson mean_rayleigh mean_student_t mean_weibull median median_deviation member mesh metricexpandall mgf1_sha1 min min_degree min_edge_cut minfactorial minimalPoly minimize_lp minimum_spanning_tree minor minpack_lsquares minpack_solve min_vertex_cover min_vertex_cut mkdir mnewton mod mode_declare mode_identity ModeMatrix moebius mon2schur mono monomial_dimensions multibernstein_poly multi_display_for_texinfo multi_elem multinomial multinomial_coeff multi_orbit multiplot_mode multi_pui multsym multthru mycielski_graph nary natural_unit nc_degree ncexpt ncharpoly negative_picture neighbors new newcontext newdet new_graph newline newton new_variable next_prime nicedummies niceindices ninth nofix nonarray noncentral_moment nonmetricity nonnegintegerp nonscalarp nonzeroandfreeof notequal nounify nptetrad npv nroots nterms ntermst nthroot nullity nullspace num 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addMagazine addMagazineAmmoCargo addMagazineCargo addMagazineCargoGlobal addMagazineGlobal addMagazinePool addMagazines addMagazineTurret addMenu addMenuItem addMissionEventHandler addMPEventHandler addMusicEventHandler addOwnedMine addPlayerScores addPrimaryWeaponItem addPublicVariableEventHandler addRating addResources addScore addScoreSide addSecondaryWeaponItem addSwitchableUnit addTeamMember addToRemainsCollector addUniform addVehicle addVest addWaypoint addWeapon addWeaponCargo addWeaponCargoGlobal addWeaponGlobal addWeaponItem addWeaponPool addWeaponTurret agent agents AGLToASL aimedAtTarget aimPos airDensityRTD airportSide AISFinishHeal alive all3DENEntities allControls allCurators allCutLayers allDead allDeadMen allDisplays allGroups allMapMarkers allMines allMissionObjects allow3DMode allowCrewInImmobile allowCuratorLogicIgnoreAreas allowDamage allowDammage allowFileOperations allowFleeing allowGetIn allowSprint allPlayers allSites allTurrets allUnits allUnitsUAV allVariables ammo and animate animateDoor animateSource animationNames animationPhase animationSourcePhase animationState append apply armoryPoints arrayIntersect asin ASLToAGL ASLToATL assert assignAsCargo assignAsCargoIndex assignAsCommander assignAsDriver assignAsGunner assignAsTurret assignCurator assignedCargo assignedCommander assignedDriver assignedGunner assignedItems assignedTarget assignedTeam assignedVehicle assignedVehicleRole assignItem assignTeam assignToAirport atan atan2 atg ATLToASL attachedObject attachedObjects attachedTo attachObject attachTo attackEnabled backpack backpackCargo backpackContainer backpackItems backpackMagazines backpackSpaceFor behaviour benchmark binocular blufor boundingBox boundingBoxReal boundingCenter breakOut breakTo briefingName buildingExit buildingPos buttonAction buttonSetAction cadetMode call callExtension camCommand camCommit camCommitPrepared camCommitted camConstuctionSetParams camCreate camDestroy cameraEffect cameraEffectEnableHUD cameraInterest cameraOn cameraView campaignConfigFile camPreload camPreloaded camPrepareBank camPrepareDir camPrepareDive camPrepareFocus camPrepareFov camPrepareFovRange camPreparePos camPrepareRelPos camPrepareTarget camSetBank camSetDir camSetDive camSetFocus camSetFov camSetFovRange camSetPos camSetRelPos camSetTarget camTarget camUseNVG canAdd canAddItemToBackpack canAddItemToUniform canAddItemToVest cancelSimpleTaskDestination canFire canMove canSlingLoad canStand canSuspend canUnloadInCombat canVehicleCargo captive captiveNum cbChecked cbSetChecked ceil channelEnabled cheatsEnabled checkAIFeature checkVisibility civilian className clearAllItemsFromBackpack clearBackpackCargo clearBackpackCargoGlobal clearGroupIcons clearItemCargo clearItemCargoGlobal clearItemPool clearMagazineCargo clearMagazineCargoGlobal clearMagazinePool clearOverlay clearRadio clearWeaponCargo clearWeaponCargoGlobal clearWeaponPool clientOwner closeDialog closeDisplay closeOverlay collapseObjectTree collect3DENHistory combatMode commandArtilleryFire commandChat commander commandFire commandFollow commandFSM commandGetOut commandingMenu commandMove commandRadio commandStop commandSuppressiveFire commandTarget commandWatch comment commitOverlay compile compileFinal completedFSM composeText configClasses configFile configHierarchy configName configNull configProperties configSourceAddonList configSourceMod configSourceModList connectTerminalToUAV controlNull controlsGroupCtrl copyFromClipboard copyToClipboard copyWaypoints cos count countEnemy countFriendly countSide countType countUnknown create3DENComposition create3DENEntity createAgent createCenter createDialog createDiaryLink createDiaryRecord createDiarySubject createDisplay createGearDialog createGroup createGuardedPoint createLocation createMarker createMarkerLocal createMenu createMine createMissionDisplay createMPCampaignDisplay createSimpleObject createSimpleTask createSite createSoundSource createTask createTeam createTrigger createUnit createVehicle createVehicleCrew createVehicleLocal crew ctrlActivate ctrlAddEventHandler ctrlAngle ctrlAutoScrollDelay ctrlAutoScrollRewind ctrlAutoScrollSpeed ctrlChecked ctrlClassName ctrlCommit ctrlCommitted ctrlCreate ctrlDelete ctrlEnable ctrlEnabled ctrlFade ctrlHTMLLoaded ctrlIDC ctrlIDD ctrlMapAnimAdd ctrlMapAnimClear ctrlMapAnimCommit ctrlMapAnimDone ctrlMapCursor ctrlMapMouseOver ctrlMapScale ctrlMapScreenToWorld ctrlMapWorldToScreen ctrlModel ctrlModelDirAndUp ctrlModelScale ctrlParent ctrlParentControlsGroup ctrlPosition ctrlRemoveAllEventHandlers ctrlRemoveEventHandler ctrlScale ctrlSetActiveColor ctrlSetAngle ctrlSetAutoScrollDelay ctrlSetAutoScrollRewind ctrlSetAutoScrollSpeed ctrlSetBackgroundColor ctrlSetChecked ctrlSetEventHandler ctrlSetFade ctrlSetFocus ctrlSetFont ctrlSetFontH1 ctrlSetFontH1B ctrlSetFontH2 ctrlSetFontH2B ctrlSetFontH3 ctrlSetFontH3B ctrlSetFontH4 ctrlSetFontH4B ctrlSetFontH5 ctrlSetFontH5B ctrlSetFontH6 ctrlSetFontH6B ctrlSetFontHeight ctrlSetFontHeightH1 ctrlSetFontHeightH2 ctrlSetFontHeightH3 ctrlSetFontHeightH4 ctrlSetFontHeightH5 ctrlSetFontHeightH6 ctrlSetFontHeightSecondary ctrlSetFontP ctrlSetFontPB ctrlSetFontSecondary ctrlSetForegroundColor ctrlSetModel ctrlSetModelDirAndUp ctrlSetModelScale ctrlSetPosition ctrlSetScale ctrlSetStructuredText ctrlSetText ctrlSetTextColor ctrlSetTooltip ctrlSetTooltipColorBox ctrlSetTooltipColorShade ctrlSetTooltipColorText ctrlShow ctrlShown ctrlText ctrlTextHeight ctrlType ctrlVisible curatorAddons curatorCamera curatorCameraArea curatorCameraAreaCeiling curatorCoef curatorEditableObjects curatorEditingArea curatorEditingAreaType curatorMouseOver curatorPoints curatorRegisteredObjects curatorSelected curatorWaypointCost current3DENOperation currentChannel currentCommand currentMagazine currentMagazineDetail currentMagazineDetailTurret currentMagazineTurret currentMuzzle currentNamespace currentTask currentTasks currentThrowable currentVisionMode currentWaypoint currentWeapon currentWeaponMode currentWeaponTurret currentZeroing cursorObject cursorTarget customChat customRadio cutFadeOut cutObj cutRsc cutText damage date dateToNumber daytime deActivateKey debriefingText debugFSM debugLog deg delete3DENEntities deleteAt deleteCenter deleteCollection deleteEditorObject deleteGroup deleteIdentity deleteLocation deleteMarker deleteMarkerLocal deleteRange deleteResources deleteSite deleteStatus deleteTeam deleteVehicle deleteVehicleCrew deleteWaypoint detach detectedMines diag_activeMissionFSMs diag_activeScripts diag_activeSQFScripts diag_activeSQSScripts diag_captureFrame diag_captureSlowFrame diag_codePerformance diag_drawMode diag_enable diag_enabled diag_fps diag_fpsMin diag_frameNo diag_list diag_log diag_logSlowFrame diag_mergeConfigFile diag_recordTurretLimits diag_tickTime diag_toggle dialog diarySubjectExists didJIP didJIPOwner difficulty difficultyEnabled difficultyEnabledRTD difficultyOption direction directSay disableAI disableCollisionWith disableConversation disableDebriefingStats disableNVGEquipment disableRemoteSensors disableSerialization disableTIEquipment disableUAVConnectability disableUserInput displayAddEventHandler displayCtrl displayNull displayParent displayRemoveAllEventHandlers displayRemoveEventHandler displaySetEventHandler dissolveTeam distance distance2D distanceSqr distributionRegion do3DENAction doArtilleryFire doFire doFollow doFSM doGetOut doMove doorPhase doStop doSuppressiveFire doTarget doWatch drawArrow drawEllipse drawIcon drawIcon3D drawLine drawLine3D drawLink drawLocation drawPolygon drawRectangle driver drop east echo edit3DENMissionAttributes editObject editorSetEventHandler effectiveCommander emptyPositions enableAI enableAIFeature enableAimPrecision enableAttack enableAudioFeature enableCamShake enableCaustics enableChannel enableCollisionWith enableCopilot enableDebriefingStats enableDiagLegend enableEndDialog enableEngineArtillery enableEnvironment enableFatigue enableGunLights enableIRLasers enableMimics enablePersonTurret enableRadio enableReload enableRopeAttach enableSatNormalOnDetail enableSaving enableSentences enableSimulation enableSimulationGlobal enableStamina enableTeamSwitch enableUAVConnectability enableUAVWaypoints enableVehicleCargo endLoadingScreen endMission engineOn enginesIsOnRTD enginesRpmRTD enginesTorqueRTD entities estimatedEndServerTime estimatedTimeLeft evalObjectArgument everyBackpack everyContainer exec execEditorScript execFSM execVM exp expectedDestination exportJIPMessages eyeDirection eyePos face faction fadeMusic fadeRadio fadeSound fadeSpeech failMission fillWeaponsFromPool find findCover findDisplay findEditorObject findEmptyPosition findEmptyPositionReady findNearestEnemy finishMissionInit finite fire fireAtTarget firstBackpack flag flagOwner flagSide flagTexture fleeing floor flyInHeight flyInHeightASL fog fogForecast fogParams forceAddUniform forcedMap forceEnd forceMap forceRespawn forceSpeed forceWalk forceWeaponFire forceWeatherChange forEachMember forEachMemberAgent forEachMemberTeam format formation formationDirection formationLeader formationMembers formationPosition formationTask formatText formLeader freeLook fromEditor fuel fullCrew gearIDCAmmoCount gearSlotAmmoCount gearSlotData get3DENActionState get3DENAttribute get3DENCamera get3DENConnections get3DENEntity get3DENEntityID get3DENGrid get3DENIconsVisible get3DENLayerEntities get3DENLinesVisible get3DENMissionAttribute get3DENMouseOver get3DENSelected getAimingCoef getAllHitPointsDamage getAllOwnedMines getAmmoCargo getAnimAimPrecision getAnimSpeedCoef getArray getArtilleryAmmo getArtilleryComputerSettings getArtilleryETA getAssignedCuratorLogic getAssignedCuratorUnit getBackpackCargo getBleedingRemaining getBurningValue getCameraViewDirection getCargoIndex getCenterOfMass getClientState getClientStateNumber getConnectedUAV getCustomAimingCoef getDammage getDescription getDir getDirVisual getDLCs getEditorCamera getEditorMode getEditorObjectScope getElevationOffset getFatigue getFriend getFSMVariable getFuelCargo getGroupIcon getGroupIconParams getGroupIcons getHideFrom getHit getHitIndex getHitPointDamage getItemCargo getMagazineCargo getMarkerColor getMarkerPos getMarkerSize getMarkerType getMass getMissionConfig getMissionConfigValue getMissionDLCs getMissionLayerEntities getModelInfo getMousePosition getNumber getObjectArgument getObjectChildren getObjectDLC getObjectMaterials getObjectProxy getObjectTextures getObjectType getObjectViewDistance getOxygenRemaining getPersonUsedDLCs getPilotCameraDirection getPilotCameraPosition getPilotCameraRotation getPilotCameraTarget getPlayerChannel getPlayerScores getPlayerUID getPos getPosASL getPosASLVisual getPosASLW getPosATL getPosATLVisual getPosVisual getPosWorld getRelDir getRelPos getRemoteSensorsDisabled getRepairCargo getResolution getShadowDistance getShotParents getSlingLoad getSpeed getStamina getStatValue getSuppression getTerrainHeightASL getText getUnitLoadout getUnitTrait getVariable getVehicleCargo getWeaponCargo getWeaponSway getWPPos glanceAt globalChat globalRadio goggles goto group groupChat groupFromNetId groupIconSelectable groupIconsVisible groupId groupOwner groupRadio groupSelectedUnits groupSelectUnit grpNull gunner gusts halt handgunItems handgunMagazine handgunWeapon handsHit hasInterface hasPilotCamera hasWeapon hcAllGroups hcGroupParams hcLeader hcRemoveAllGroups hcRemoveGroup hcSelected hcSelectGroup hcSetGroup hcShowBar hcShownBar headgear hideBody hideObject hideObjectGlobal hideSelection hint hintC hintCadet hintSilent hmd hostMission htmlLoad HUDMovementLevels humidity image importAllGroups importance in inArea inAreaArray incapacitatedState independent inflame inflamed inGameUISetEventHandler inheritsFrom initAmbientLife inPolygon inputAction inRangeOfArtillery insertEditorObject intersect is3DEN is3DENMultiplayer isAbleToBreathe isAgent isArray isAutoHoverOn isAutonomous isAutotest isBleeding isBurning isClass isCollisionLightOn isCopilotEnabled isDedicated isDLCAvailable isEngineOn isEqualTo isEqualType isEqualTypeAll isEqualTypeAny isEqualTypeArray isEqualTypeParams isFilePatchingEnabled isFlashlightOn isFlatEmpty isForcedWalk isFormationLeader isHidden isInRemainsCollector isInstructorFigureEnabled isIRLaserOn isKeyActive isKindOf isLightOn isLocalized isManualFire isMarkedForCollection isMultiplayer isMultiplayerSolo isNil isNull isNumber isObjectHidden isObjectRTD isOnRoad isPipEnabled isPlayer isRealTime isRemoteExecuted isRemoteExecutedJIP isServer isShowing3DIcons isSprintAllowed isStaminaEnabled isSteamMission isStreamFriendlyUIEnabled isText isTouchingGround isTurnedOut isTutHintsEnabled isUAVConnectable isUAVConnected isUniformAllowed isVehicleCargo isWalking isWeaponDeployed isWeaponRested itemCargo items itemsWithMagazines join joinAs joinAsSilent joinSilent joinString kbAddDatabase kbAddDatabaseTargets kbAddTopic kbHasTopic kbReact kbRemoveTopic kbTell kbWasSaid keyImage keyName knowsAbout land landAt landResult language laserTarget lbAdd lbClear lbColor lbCurSel lbData lbDelete lbIsSelected lbPicture lbSelection lbSetColor lbSetCurSel lbSetData lbSetPicture lbSetPictureColor lbSetPictureColorDisabled lbSetPictureColorSelected lbSetSelectColor lbSetSelectColorRight lbSetSelected lbSetTooltip lbSetValue lbSize lbSort lbSortByValue lbText lbValue leader leaderboardDeInit leaderboardGetRows leaderboardInit leaveVehicle libraryCredits libraryDisclaimers lifeState lightAttachObject lightDetachObject lightIsOn lightnings limitSpeed linearConversion lineBreak lineIntersects lineIntersectsObjs lineIntersectsSurfaces lineIntersectsWith linkItem list listObjects ln lnbAddArray lnbAddColumn lnbAddRow lnbClear lnbColor lnbCurSelRow lnbData lnbDeleteColumn lnbDeleteRow lnbGetColumnsPosition lnbPicture lnbSetColor lnbSetColumnsPos lnbSetCurSelRow lnbSetData lnbSetPicture lnbSetText lnbSetValue lnbSize lnbText lnbValue load loadAbs loadBackpack loadFile loadGame loadIdentity loadMagazine loadOverlay loadStatus loadUniform loadVest local localize locationNull locationPosition lock lockCameraTo lockCargo lockDriver locked lockedCargo lockedDriver lockedTurret lockIdentity lockTurret lockWP log logEntities logNetwork logNetworkTerminate lookAt lookAtPos magazineCargo magazines magazinesAllTurrets magazinesAmmo magazinesAmmoCargo magazinesAmmoFull magazinesDetail magazinesDetailBackpack magazinesDetailUniform magazinesDetailVest magazinesTurret magazineTurretAmmo mapAnimAdd mapAnimClear mapAnimCommit mapAnimDone mapCenterOnCamera mapGridPosition markAsFinishedOnSteam markerAlpha markerBrush markerColor markerDir markerPos markerShape markerSize markerText markerType max members menuAction menuAdd menuChecked menuClear menuCollapse menuData menuDelete menuEnable menuEnabled menuExpand menuHover menuPicture menuSetAction menuSetCheck menuSetData menuSetPicture menuSetValue menuShortcut menuShortcutText menuSize menuSort menuText menuURL menuValue min mineActive mineDetectedBy missionConfigFile missionDifficulty missionName missionNamespace missionStart missionVersion mod modelToWorld modelToWorldVisual modParams moonIntensity moonPhase morale move move3DENCamera moveInAny moveInCargo moveInCommander moveInDriver moveInGunner moveInTurret moveObjectToEnd moveOut moveTime moveTo moveToCompleted moveToFailed musicVolume name nameSound nearEntities nearestBuilding nearestLocation nearestLocations nearestLocationWithDubbing nearestObject nearestObjects nearestTerrainObjects nearObjects nearObjectsReady nearRoads nearSupplies nearTargets needReload netId netObjNull newOverlay nextMenuItemIndex nextWeatherChange nMenuItems not numberToDate objectCurators objectFromNetId objectParent objNull objStatus onBriefingGroup onBriefingNotes onBriefingPlan onBriefingTeamSwitch onCommandModeChanged onDoubleClick onEachFrame onGroupIconClick onGroupIconOverEnter onGroupIconOverLeave onHCGroupSelectionChanged onMapSingleClick onPlayerConnected onPlayerDisconnected onPreloadFinished onPreloadStarted onShowNewObject onTeamSwitch openCuratorInterface openDLCPage openMap openYoutubeVideo opfor or orderGetIn overcast overcastForecast owner param params parseNumber parseText parsingNamespace particlesQuality pi pickWeaponPool pitch pixelGrid pixelGridBase pixelGridNoUIScale pixelH pixelW playableSlotsNumber playableUnits playAction playActionNow player playerRespawnTime playerSide playersNumber playGesture playMission playMove playMoveNow playMusic playScriptedMission playSound playSound3D position positionCameraToWorld posScreenToWorld posWorldToScreen ppEffectAdjust ppEffectCommit ppEffectCommitted ppEffectCreate ppEffectDestroy ppEffectEnable ppEffectEnabled ppEffectForceInNVG precision preloadCamera preloadObject preloadSound preloadTitleObj preloadTitleRsc preprocessFile preprocessFileLineNumbers primaryWeapon primaryWeaponItems primaryWeaponMagazine priority private processDiaryLink productVersion profileName profileNamespace profileNameSteam progressLoadingScreen progressPosition progressSetPosition publicVariable publicVariableClient publicVariableServer pushBack pushBackUnique putWeaponPool queryItemsPool queryMagazinePool queryWeaponPool rad radioChannelAdd radioChannelCreate radioChannelRemove radioChannelSetCallSign radioChannelSetLabel radioVolume rain rainbow random rank rankId rating rectangular registeredTasks registerTask reload reloadEnabled remoteControl remoteExec remoteExecCall remove3DENConnection remove3DENEventHandler remove3DENLayer removeAction removeAll3DENEventHandlers removeAllActions removeAllAssignedItems removeAllContainers removeAllCuratorAddons removeAllCuratorCameraAreas removeAllCuratorEditingAreas removeAllEventHandlers removeAllHandgunItems removeAllItems removeAllItemsWithMagazines removeAllMissionEventHandlers removeAllMPEventHandlers removeAllMusicEventHandlers removeAllOwnedMines removeAllPrimaryWeaponItems removeAllWeapons removeBackpack removeBackpackGlobal removeCuratorAddons removeCuratorCameraArea removeCuratorEditableObjects removeCuratorEditingArea removeDrawIcon removeDrawLinks removeEventHandler removeFromRemainsCollector removeGoggles removeGroupIcon removeHandgunItem removeHeadgear removeItem removeItemFromBackpack removeItemFromUniform removeItemFromVest removeItems removeMagazine removeMagazineGlobal removeMagazines removeMagazinesTurret removeMagazineTurret removeMenuItem removeMissionEventHandler removeMPEventHandler removeMusicEventHandler removeOwnedMine removePrimaryWeaponItem removeSecondaryWeaponItem removeSimpleTask removeSwitchableUnit removeTeamMember removeUniform removeVest removeWeapon removeWeaponGlobal removeWeaponTurret requiredVersion resetCamShake resetSubgroupDirection resistance resize resources respawnVehicle restartEditorCamera reveal revealMine reverse reversedMouseY roadAt roadsConnectedTo roleDescription ropeAttachedObjects ropeAttachedTo ropeAttachEnabled ropeAttachTo ropeCreate ropeCut ropeDestroy ropeDetach ropeEndPosition ropeLength ropes ropeUnwind ropeUnwound rotorsForcesRTD rotorsRpmRTD round runInitScript safeZoneH safeZoneW safeZoneWAbs safeZoneX safeZoneXAbs safeZoneY save3DENInventory saveGame saveIdentity saveJoysticks saveOverlay saveProfileNamespace saveStatus saveVar savingEnabled say say2D say3D scopeName score scoreSide screenshot screenToWorld scriptDone scriptName scriptNull scudState secondaryWeapon secondaryWeaponItems secondaryWeaponMagazine select selectBestPlaces selectDiarySubject selectedEditorObjects selectEditorObject selectionNames selectionPosition selectLeader selectMax selectMin selectNoPlayer selectPlayer selectRandom selectWeapon selectWeaponTurret sendAUMessage sendSimpleCommand sendTask sendTaskResult sendUDPMessage serverCommand serverCommandAvailable serverCommandExecutable serverName serverTime set set3DENAttribute set3DENAttributes set3DENGrid set3DENIconsVisible set3DENLayer set3DENLinesVisible set3DENMissionAttributes set3DENModelsVisible set3DENObjectType set3DENSelected setAccTime setAirportSide setAmmo setAmmoCargo setAnimSpeedCoef setAperture setApertureNew setArmoryPoints setAttributes setAutonomous setBehaviour setBleedingRemaining setCameraInterest setCamShakeDefParams setCamShakeParams setCamUseTi setCaptive setCenterOfMass setCollisionLight setCombatMode setCompassOscillation setCuratorCameraAreaCeiling setCuratorCoef setCuratorEditingAreaType setCuratorWaypointCost setCurrentChannel setCurrentTask setCurrentWaypoint setCustomAimCoef setDamage setDammage setDate setDebriefingText setDefaultCamera setDestination setDetailMapBlendPars setDir setDirection setDrawIcon setDropInterval setEditorMode setEditorObjectScope setEffectCondition setFace setFaceAnimation setFatigue setFlagOwner setFlagSide setFlagTexture setFog setFormation setFormationTask setFormDir setFriend setFromEditor setFSMVariable setFuel setFuelCargo setGroupIcon setGroupIconParams setGroupIconsSelectable setGroupIconsVisible setGroupId setGroupIdGlobal setGroupOwner setGusts setHideBehind setHit setHitIndex setHitPointDamage setHorizonParallaxCoef setHUDMovementLevels setIdentity setImportance setLeader setLightAmbient setLightAttenuation setLightBrightness setLightColor setLightDayLight setLightFlareMaxDistance setLightFlareSize setLightIntensity setLightnings setLightUseFlare setLocalWindParams setMagazineTurretAmmo setMarkerAlpha setMarkerAlphaLocal setMarkerBrush setMarkerBrushLocal setMarkerColor setMarkerColorLocal setMarkerDir setMarkerDirLocal setMarkerPos setMarkerPosLocal setMarkerShape setMarkerShapeLocal setMarkerSize setMarkerSizeLocal setMarkerText setMarkerTextLocal setMarkerType setMarkerTypeLocal setMass setMimic setMousePosition setMusicEffect setMusicEventHandler setName setNameSound setObjectArguments setObjectMaterial setObjectMaterialGlobal setObjectProxy setObjectTexture setObjectTextureGlobal setObjectViewDistance setOvercast setOwner setOxygenRemaining setParticleCircle setParticleClass setParticleFire setParticleParams setParticleRandom setPilotCameraDirection setPilotCameraRotation setPilotCameraTarget setPilotLight setPiPEffect setPitch setPlayable setPlayerRespawnTime setPos setPosASL setPosASL2 setPosASLW setPosATL setPosition setPosWorld setRadioMsg setRain setRainbow setRandomLip setRank setRectangular setRepairCargo setShadowDistance setShotParents setSide setSimpleTaskAlwaysVisible setSimpleTaskCustomData setSimpleTaskDescription setSimpleTaskDestination setSimpleTaskTarget setSimpleTaskType setSimulWeatherLayers setSize setSkill setSlingLoad setSoundEffect setSpeaker setSpeech setSpeedMode setStamina setStaminaScheme setStatValue setSuppression setSystemOfUnits setTargetAge setTaskResult setTaskState setTerrainGrid setText setTimeMultiplier setTitleEffect setTriggerActivation setTriggerArea setTriggerStatements setTriggerText setTriggerTimeout setTriggerType setType setUnconscious setUnitAbility setUnitLoadout setUnitPos setUnitPosWeak setUnitRank setUnitRecoilCoefficient setUnitTrait setUnloadInCombat setUserActionText setVariable setVectorDir setVectorDirAndUp setVectorUp setVehicleAmmo setVehicleAmmoDef setVehicleArmor setVehicleCargo setVehicleId setVehicleLock setVehiclePosition setVehicleTiPars setVehicleVarName setVelocity setVelocityTransformation setViewDistance setVisibleIfTreeCollapsed setWaves setWaypointBehaviour setWaypointCombatMode setWaypointCompletionRadius setWaypointDescription setWaypointForceBehaviour setWaypointFormation setWaypointHousePosition setWaypointLoiterRadius setWaypointLoiterType setWaypointName setWaypointPosition setWaypointScript setWaypointSpeed setWaypointStatements setWaypointTimeout setWaypointType setWaypointVisible setWeaponReloadingTime setWind setWindDir setWindForce setWindStr setWPPos show3DIcons showChat showCinemaBorder showCommandingMenu showCompass showCuratorCompass showGPS showHUD showLegend showMap shownArtilleryComputer shownChat shownCompass shownCuratorCompass showNewEditorObject shownGPS shownHUD shownMap shownPad shownRadio shownScoretable shownUAVFeed shownWarrant shownWatch showPad showRadio showScoretable showSubtitles showUAVFeed showWarrant showWatch showWaypoint showWaypoints side sideAmbientLife sideChat sideEmpty sideEnemy sideFriendly sideLogic sideRadio sideUnknown simpleTasks simulationEnabled simulCloudDensity simulCloudOcclusion simulInClouds simulWeatherSync sin size sizeOf skill skillFinal skipTime sleep sliderPosition sliderRange sliderSetPosition sliderSetRange sliderSetSpeed sliderSpeed slingLoadAssistantShown soldierMagazines someAmmo sort soundVolume spawn speaker speed speedMode splitString sqrt squadParams stance startLoadingScreen step stop stopEngineRTD stopped str sunOrMoon supportInfo suppressFor surfaceIsWater surfaceNormal surfaceType swimInDepth switchableUnits switchAction switchCamera switchGesture switchLight switchMove synchronizedObjects synchronizedTriggers synchronizedWaypoints synchronizeObjectsAdd synchronizeObjectsRemove synchronizeTrigger synchronizeWaypoint systemChat systemOfUnits tan targetKnowledge targetsAggregate targetsQuery taskAlwaysVisible taskChildren taskCompleted taskCustomData taskDescription taskDestination taskHint taskMarkerOffset taskNull taskParent taskResult taskState taskType teamMember teamMemberNull teamName teams teamSwitch teamSwitchEnabled teamType terminate terrainIntersect terrainIntersectASL text textLog textLogFormat tg time timeMultiplier titleCut titleFadeOut titleObj titleRsc titleText toArray toFixed toLower toString toUpper triggerActivated triggerActivation triggerArea triggerAttachedVehicle triggerAttachObject triggerAttachVehicle triggerStatements triggerText triggerTimeout triggerTimeoutCurrent triggerType turretLocal turretOwner turretUnit tvAdd tvClear tvCollapse tvCount tvCurSel tvData tvDelete tvExpand tvPicture tvSetCurSel tvSetData tvSetPicture tvSetPictureColor tvSetPictureColorDisabled tvSetPictureColorSelected tvSetPictureRight tvSetPictureRightColor tvSetPictureRightColorDisabled tvSetPictureRightColorSelected tvSetText tvSetTooltip tvSetValue tvSort tvSortByValue tvText tvTooltip tvValue type typeName typeOf UAVControl uiNamespace uiSleep unassignCurator unassignItem unassignTeam unassignVehicle underwater uniform uniformContainer uniformItems uniformMagazines unitAddons unitAimPosition unitAimPositionVisual unitBackpack unitIsUAV unitPos unitReady unitRecoilCoefficient units unitsBelowHeight unlinkItem unlockAchievement unregisterTask updateDrawIcon updateMenuItem updateObjectTree useAISteeringComponent useAudioTimeForMoves vectorAdd vectorCos vectorCrossProduct vectorDiff vectorDir vectorDirVisual vectorDistance vectorDistanceSqr vectorDotProduct vectorFromTo vectorMagnitude vectorMagnitudeSqr vectorMultiply vectorNormalized vectorUp vectorUpVisual vehicle vehicleCargoEnabled vehicleChat vehicleRadio vehicles vehicleVarName velocity velocityModelSpace verifySignature vest vestContainer vestItems vestMagazines viewDistance visibleCompass visibleGPS visibleMap visiblePosition visiblePositionASL visibleScoretable visibleWatch waves waypointAttachedObject waypointAttachedVehicle waypointAttachObject waypointAttachVehicle waypointBehaviour waypointCombatMode waypointCompletionRadius waypointDescription waypointForceBehaviour waypointFormation waypointHousePosition waypointLoiterRadius waypointLoiterType waypointName waypointPosition waypoints waypointScript waypointsEnabledUAV waypointShow waypointSpeed waypointStatements waypointTimeout waypointTimeoutCurrent waypointType waypointVisible weaponAccessories weaponAccessoriesCargo weaponCargo weaponDirection weaponInertia weaponLowered weapons weaponsItems weaponsItemsCargo weaponState weaponsTurret weightRTD west WFSideText wind\",literal:\"true false nil\"},c:[e.CLCM,e.CBCM,e.NM,r,a,i,t.preprocessor],i:/#/}}),e.registerLanguage(\"sql\",function(e){var t=e.C(\"--\",\"$\");return{cI:!0,i:/[<>{}*#]/,c:[{bK:\"begin end start commit 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constant constraint constraints constructor container content contents context contributors controlfile conv convert convert_tz corr corr_k corr_s corresponding corruption cos cost count count_big counted covar_pop covar_samp cpu_per_call cpu_per_session crc32 create creation critical cross cube cume_dist curdate current current_date current_time current_timestamp current_user cursor curtime customdatum cycle data database databases datafile datafiles datalength date_add date_cache date_format date_sub dateadd datediff datefromparts datename datepart datetime2fromparts day day_to_second dayname dayofmonth dayofweek dayofyear days db_role_change dbtimezone ddl deallocate declare decode decompose decrement decrypt deduplicate def defa defau defaul default defaults deferred defi defin define degrees delayed delegate delete delete_all delimited demand dense_rank depth dequeue des_decrypt des_encrypt des_key_file desc descr descri describ describe descriptor deterministic diagnostics difference dimension direct_load directory disable disable_all disallow disassociate discardfile disconnect diskgroup distinct distinctrow distribute distributed div do document domain dotnet double downgrade drop dumpfile duplicate duration each edition editionable editions element ellipsis else elsif elt empty enable enable_all enclosed encode encoding encrypt end end-exec endian enforced engine engines enqueue enterprise entityescaping eomonth error errors escaped evalname evaluate event eventdata events except exception exceptions exchange exclude excluding execu execut execute exempt exists exit exp expire explain export export_set extended extent external external_1 external_2 externally extract failed failed_login_attempts failover failure far fast feature_set feature_value fetch field fields file file_name_convert filesystem_like_logging final finish first first_value fixed flash_cache flashback floor flush following follows for forall force form forma format found found_rows freelist freelists freepools fresh from from_base64 from_days ftp full function general generated get get_format get_lock getdate getutcdate global global_name globally go goto grant grants greatest group group_concat group_id grouping grouping_id groups gtid_subtract guarantee guard handler hash hashkeys having hea head headi headin heading heap help hex hierarchy high high_priority hosts hour http id ident_current ident_incr ident_seed identified identity idle_time if ifnull ignore iif ilike ilm immediate import in include including increment index indexes indexing indextype indicator indices inet6_aton inet6_ntoa inet_aton inet_ntoa infile initial initialized initially initrans inmemory inner innodb input insert install instance instantiable instr interface interleaved intersect into invalidate invisible is is_free_lock is_ipv4 is_ipv4_compat is_not is_not_null is_used_lock isdate isnull isolation iterate java join json json_exists keep keep_duplicates key keys kill language large last last_day last_insert_id last_value lax lcase lead leading least leaves left len lenght length less level levels library like like2 like4 likec limit lines link list listagg little ln load load_file lob lobs local localtime localtimestamp locate locator lock locked log log10 log2 logfile logfiles logging logical logical_reads_per_call logoff logon logs long loop low low_priority lower lpad lrtrim ltrim main make_set makedate maketime managed management manual map mapping mask master master_pos_wait match matched materialized max maxextents maximize maxinstances maxlen maxlogfiles maxloghistory maxlogmembers maxsize maxtrans md5 measures median medium member memcompress memory merge microsecond mid migration min minextents minimum mining minus minute minvalue missing mod mode model modification modify module monitoring month months mount move movement multiset mutex name name_const names nan national native natural nav nchar nclob nested never new newline next nextval no no_write_to_binlog noarchivelog noaudit nobadfile nocheck nocompress nocopy nocycle nodelay nodiscardfile noentityescaping noguarantee nokeep nologfile nomapping nomaxvalue nominimize nominvalue nomonitoring none noneditionable nonschema noorder nopr nopro noprom nopromp noprompt norely noresetlogs noreverse normal norowdependencies noschemacheck noswitch not nothing notice notrim novalidate now nowait nth_value nullif nulls num numb numbe nvarchar nvarchar2 object ocicoll ocidate ocidatetime ociduration ociinterval ociloblocator ocinumber ociref ocirefcursor ocirowid ocistring ocitype oct octet_length of off offline offset oid oidindex old on online only opaque open operations operator optimal optimize option optionally or oracle oracle_date oradata ord ordaudio orddicom orddoc order ordimage ordinality ordvideo organization orlany orlvary out outer outfile outline output over overflow overriding package pad parallel parallel_enable parameters parent parse partial partition partitions pascal passing password password_grace_time password_lock_time password_reuse_max password_reuse_time password_verify_function patch path patindex pctincrease pctthreshold pctused pctversion percent percent_rank percentile_cont percentile_disc performance period period_add period_diff permanent physical pi pipe pipelined pivot pluggable plugin policy position post_transaction pow power pragma prebuilt precedes preceding precision prediction prediction_cost prediction_details prediction_probability prediction_set prepare present preserve prior priority private private_sga privileges procedural procedure procedure_analyze processlist profiles project prompt protection public publishingservername purge quarter query quick quiesce quota quotename radians raise rand range rank raw read reads readsize rebuild record records recover recovery recursive recycle redo reduced ref reference referenced references referencing refresh regexp_like register regr_avgx regr_avgy regr_count regr_intercept regr_r2 regr_slope regr_sxx regr_sxy reject rekey relational relative relaylog release release_lock relies_on relocate rely rem remainder rename repair repeat replace replicate replication required reset resetlogs resize resource respect restore restricted result result_cache resumable resume retention return returning returns reuse reverse revoke right rlike role roles rollback rolling rollup round row row_count rowdependencies rowid rownum rows rtrim rules safe salt sample save savepoint sb1 sb2 sb4 scan schema schemacheck scn scope scroll sdo_georaster sdo_topo_geometry search sec_to_time second section securefile security seed segment select self sequence sequential serializable server servererror session session_user sessions_per_user set sets settings sha sha1 sha2 share shared shared_pool short show shrink shutdown si_averagecolor si_colorhistogram si_featurelist si_positionalcolor si_stillimage si_texture siblings sid sign sin size size_t sizes skip slave sleep smalldatetimefromparts smallfile snapshot some soname sort soundex source space sparse spfile split sql sql_big_result sql_buffer_result sql_cache sql_calc_found_rows sql_small_result sql_variant_property sqlcode sqldata sqlerror sqlname sqlstate sqrt square standalone standby start starting startup statement static statistics stats_binomial_test stats_crosstab stats_ks_test stats_mode stats_mw_test stats_one_way_anova stats_t_test_ stats_t_test_indep stats_t_test_one stats_t_test_paired stats_wsr_test status std stddev stddev_pop stddev_samp stdev stop storage store stored str str_to_date straight_join strcmp strict string struct stuff style subdate subpartition subpartitions substitutable substr substring subtime subtring_index subtype success sum suspend switch switchoffset switchover sync synchronous synonym sys sys_xmlagg sysasm sysaux sysdate sysdatetimeoffset sysdba sysoper system system_user sysutcdatetime table tables tablespace tan tdo template temporary terminated tertiary_weights test than then thread through tier ties time time_format time_zone timediff timefromparts timeout timestamp timestampadd timestampdiff timezone_abbr timezone_minute timezone_region to to_base64 to_date to_days to_seconds todatetimeoffset trace tracking transaction transactional translate translation treat trigger trigger_nestlevel triggers trim truncate try_cast try_convert try_parse type ub1 ub2 ub4 ucase unarchived unbounded uncompress under undo unhex unicode uniform uninstall union unique unix_timestamp unknown unlimited unlock unpivot unrecoverable unsafe unsigned until untrusted unusable unused update updated upgrade upped upper upsert url urowid usable usage use use_stored_outlines user user_data user_resources users using utc_date utc_timestamp uuid uuid_short validate validate_password_strength validation valist value values var var_samp varcharc vari varia variab variabl variable variables variance varp varraw varrawc varray verify version versions view 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vcmpeq_uqss vcmpnge_usss vcmpngess vcmpngt_usss vcmpngtss vcmpfalse_oqss vcmpfalsess vcmpneq_oqss vcmpge_osss vcmpgess vcmpgt_osss vcmpgtss vcmptrue_uqss vcmptruess vcmplt_oqss vcmple_oqss vcmpunord_sss vcmpneq_usss vcmpnlt_uqss vcmpnle_uqss vcmpord_sss vcmpeq_usss vcmpnge_uqss vcmpngt_uqss vcmpfalse_osss vcmpneq_osss vcmpge_oqss vcmpgt_oqss vcmptrue_usss vcmpss vcomisd vcomiss vcvtdq2pd vcvtdq2ps vcvtpd2dq vcvtpd2ps vcvtps2dq vcvtps2pd vcvtsd2si vcvtsd2ss vcvtsi2sd vcvtsi2ss vcvtss2sd vcvtss2si vcvttpd2dq vcvttps2dq vcvttsd2si vcvttss2si vdivpd vdivps vdivsd vdivss vdppd vdpps vextractf128 vextractps vhaddpd vhaddps vhsubpd vhsubps vinsertf128 vinsertps vlddqu vldqqu vldmxcsr vmaskmovdqu vmaskmovps vmaskmovpd vmaxpd vmaxps vmaxsd vmaxss vminpd vminps vminsd vminss vmovapd vmovaps vmovd vmovq vmovddup vmovdqa vmovqqa vmovdqu vmovqqu vmovhlps vmovhpd vmovhps vmovlhps vmovlpd vmovlps vmovmskpd vmovmskps vmovntdq vmovntqq vmovntdqa vmovntpd vmovntps vmovsd vmovshdup vmovsldup vmovss 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vpbroadcastd vpbroadcastq vpermd vpermpd vpermps vpermq vperm2i128 vextracti128 vinserti128 vpmaskmovd vpmaskmovq vpsllvd vpsllvq vpsravd vpsrlvd vpsrlvq vgatherdpd vgatherqpd vgatherdps vgatherqps vpgatherdd vpgatherqd vpgatherdq vpgatherqq xabort xbegin xend xtest andn bextr blci blcic blsi blsic blcfill blsfill blcmsk blsmsk blsr blcs bzhi mulx pdep pext rorx sarx shlx shrx tzcnt tzmsk t1mskc valignd valignq vblendmpd vblendmps vbroadcastf32x4 vbroadcastf64x4 vbroadcasti32x4 vbroadcasti64x4 vcompresspd vcompressps vcvtpd2udq vcvtps2udq vcvtsd2usi vcvtss2usi vcvttpd2udq vcvttps2udq vcvttsd2usi vcvttss2usi vcvtudq2pd vcvtudq2ps vcvtusi2sd vcvtusi2ss vexpandpd vexpandps vextractf32x4 vextractf64x4 vextracti32x4 vextracti64x4 vfixupimmpd vfixupimmps vfixupimmsd vfixupimmss vgetexppd vgetexpps vgetexpsd vgetexpss vgetmantpd vgetmantps vgetmantsd vgetmantss vinsertf32x4 vinsertf64x4 vinserti32x4 vinserti64x4 vmovdqa32 vmovdqa64 vmovdqu32 vmovdqu64 vpabsq vpandd vpandnd vpandnq vpandq 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n(){this.ruler=new s;for(var e=0;e<o.length;e++)this.ruler.push(o[e][0],o[e][1],{alt:(o[e][2]||[]).slice()})}var s=e(\"./ruler\"),o=[[\"table\",e(\"./rules_block/table\"),[\"paragraph\",\"reference\"]],[\"code\",e(\"./rules_block/code\")],[\"fence\",e(\"./rules_block/fence\"),[\"paragraph\",\"reference\",\"blockquote\",\"list\"]],[\"blockquote\",e(\"./rules_block/blockquote\"),[\"paragraph\",\"reference\",\"blockquote\",\"list\"]],[\"hr\",e(\"./rules_block/hr\"),[\"paragraph\",\"reference\",\"blockquote\",\"list\"]],[\"list\",e(\"./rules_block/list\"),[\"paragraph\",\"reference\",\"blockquote\"]],[\"reference\",e(\"./rules_block/reference\")],[\"heading\",e(\"./rules_block/heading\"),[\"paragraph\",\"reference\",\"blockquote\"]],[\"lheading\",e(\"./rules_block/lheading\")],[\"html_block\",e(\"./rules_block/html_block\"),[\"paragraph\",\"reference\",\"blockquote\"]],[\"paragraph\",e(\"./rules_block/paragraph\")]];n.prototype.tokenize=function(e,r,t){for(var n,s=this.ruler.getRules(\"\"),o=s.length,i=r,a=!1,c=e.md.options.maxNesting;i<t&&(e.line=i=e.skipEmptyLines(i),!(i>=t))&&!(e.sCount[i]<e.blkIndent);){if(e.level>=c){e.line=t;break}for(n=0;n<o&&!s[n](e,i,t,!1);n++);e.tight=!a,e.isEmpty(e.line-1)&&(a=!0),(i=e.line)<t&&e.isEmpty(i)&&(a=!0,i++,e.line=i)}},n.prototype.parse=function(e,r,t,n){var s;e&&(s=new this.State(e,r,t,n),this.tokenize(s,s.line,s.lineMax))},n.prototype.State=e(\"./rules_block/state_block\"),r.exports=n},{\"./ruler\":17,\"./rules_block/blockquote\":18,\"./rules_block/code\":19,\"./rules_block/fence\":20,\"./rules_block/heading\":21,\"./rules_block/hr\":22,\"./rules_block/html_block\":23,\"./rules_block/lheading\":24,\"./rules_block/list\":25,\"./rules_block/paragraph\":26,\"./rules_block/reference\":27,\"./rules_block/state_block\":28,\"./rules_block/table\":29}],11:[function(e,r,t){\"use strict\";function n(){this.ruler=new s;for(var e=0;e<o.length;e++)this.ruler.push(o[e][0],o[e][1])}var s=e(\"./ruler\"),o=[[\"normalize\",e(\"./rules_core/normalize\")],[\"block\",e(\"./rules_core/block\")],[\"inline\",e(\"./rules_core/inline\")],[\"linkify\",e(\"./rules_core/linkify\")],[\"replacements\",e(\"./rules_core/replacements\")],[\"smartquotes\",e(\"./rules_core/smartquotes\")]];n.prototype.process=function(e){var r,t,n;for(r=0,t=(n=this.ruler.getRules(\"\")).length;r<t;r++)n[r](e)},n.prototype.State=e(\"./rules_core/state_core\"),r.exports=n},{\"./ruler\":17,\"./rules_core/block\":30,\"./rules_core/inline\":31,\"./rules_core/linkify\":32,\"./rules_core/normalize\":33,\"./rules_core/replacements\":34,\"./rules_core/smartquotes\":35,\"./rules_core/state_core\":36}],12:[function(e,r,t){\"use strict\";function n(){var e;for(this.ruler=new s,e=0;e<o.length;e++)this.ruler.push(o[e][0],o[e][1]);for(this.ruler2=new s,e=0;e<i.length;e++)this.ruler2.push(i[e][0],i[e][1])}var s=e(\"./ruler\"),o=[[\"text\",e(\"./rules_inline/text\")],[\"newline\",e(\"./rules_inline/newline\")],[\"escape\",e(\"./rules_inline/escape\")],[\"backticks\",e(\"./rules_inline/backticks\")],[\"strikethrough\",e(\"./rules_inline/strikethrough\").tokenize],[\"emphasis\",e(\"./rules_inline/emphasis\").tokenize],[\"link\",e(\"./rules_inline/link\")],[\"image\",e(\"./rules_inline/image\")],[\"autolink\",e(\"./rules_inline/autolink\")],[\"html_inline\",e(\"./rules_inline/html_inline\")],[\"entity\",e(\"./rules_inline/entity\")]],i=[[\"balance_pairs\",e(\"./rules_inline/balance_pairs\")],[\"strikethrough\",e(\"./rules_inline/strikethrough\").postProcess],[\"emphasis\",e(\"./rules_inline/emphasis\").postProcess],[\"text_collapse\",e(\"./rules_inline/text_collapse\")]];n.prototype.skipToken=function(e){var r,t,n=e.pos,s=this.ruler.getRules(\"\"),o=s.length,i=e.md.options.maxNesting,a=e.cache;if(void 0===a[n]){if(e.level<i)for(t=0;t<o&&(e.level++,r=s[t](e,!0),e.level--,!r);t++);else e.pos=e.posMax;r||e.pos++,a[n]=e.pos}else e.pos=a[n]},n.prototype.tokenize=function(e){for(var r,t,n=this.ruler.getRules(\"\"),s=n.length,o=e.posMax,i=e.md.options.maxNesting;e.pos<o;){if(e.level<i)for(t=0;t<s&&!(r=n[t](e,!1));t++);if(r){if(e.pos>=o)break}else e.pending+=e.src[e.pos++]}e.pending&&e.pushPending()},n.prototype.parse=function(e,r,t,n){var s,o,i,a=new this.State(e,r,t,n);for(this.tokenize(a),i=(o=this.ruler2.getRules(\"\")).length,s=0;s<i;s++)o[s](a)},n.prototype.State=e(\"./rules_inline/state_inline\"),r.exports=n},{\"./ruler\":17,\"./rules_inline/autolink\":37,\"./rules_inline/backticks\":38,\"./rules_inline/balance_pairs\":39,\"./rules_inline/emphasis\":40,\"./rules_inline/entity\":41,\"./rules_inline/escape\":42,\"./rules_inline/html_inline\":43,\"./rules_inline/image\":44,\"./rules_inline/link\":45,\"./rules_inline/newline\":46,\"./rules_inline/state_inline\":47,\"./rules_inline/strikethrough\":48,\"./rules_inline/text\":49,\"./rules_inline/text_collapse\":50}],13:[function(e,r,t){\"use strict\";r.exports={options:{html:!0,xhtmlOut:!0,breaks:!1,langPrefix:\"language-\",linkify:!1,typographer:!1,quotes:\"\\u201c\\u201d\\u2018\\u2019\",highlight:null,maxNesting:20},components:{core:{rules:[\"normalize\",\"block\",\"inline\"]},block:{rules:[\"blockquote\",\"code\",\"fence\",\"heading\",\"hr\",\"html_block\",\"lheading\",\"list\",\"reference\",\"paragraph\"]},inline:{rules:[\"autolink\",\"backticks\",\"emphasis\",\"entity\",\"escape\",\"html_inline\",\"image\",\"link\",\"newline\",\"text\"],rules2:[\"balance_pairs\",\"emphasis\",\"text_collapse\"]}}}},{}],14:[function(e,r,t){\"use strict\";r.exports={options:{html:!1,xhtmlOut:!1,breaks:!1,langPrefix:\"language-\",linkify:!1,typographer:!1,quotes:\"\\u201c\\u201d\\u2018\\u2019\",highlight:null,maxNesting:100},components:{core:{},block:{},inline:{}}}},{}],15:[function(e,r,t){\"use strict\";r.exports={options:{html:!1,xhtmlOut:!1,breaks:!1,langPrefix:\"language-\",linkify:!1,typographer:!1,quotes:\"\\u201c\\u201d\\u2018\\u2019\",highlight:null,maxNesting:20},components:{core:{rules:[\"normalize\",\"block\",\"inline\"]},block:{rules:[\"paragraph\"]},inline:{rules:[\"text\"],rules2:[\"balance_pairs\",\"text_collapse\"]}}}},{}],16:[function(e,r,t){\"use strict\";function n(){this.rules=s({},a)}var s=e(\"./common/utils\").assign,o=e(\"./common/utils\").unescapeAll,i=e(\"./common/utils\").escapeHtml,a={};a.code_inline=function(e,r,t,n,s){var o=e[r];return\"<code\"+s.renderAttrs(o)+\">\"+i(e[r].content)+\"</code>\"},a.code_block=function(e,r,t,n,s){var o=e[r];return\"<pre\"+s.renderAttrs(o)+\"><code>\"+i(e[r].content)+\"</code></pre>\\n\"},a.fence=function(e,r,t,n,s){var a,c,l,u,p=e[r],h=p.info?o(p.info).trim():\"\",f=\"\";return h&&(f=h.split(/\\s+/g)[0]),0===(a=t.highlight?t.highlight(p.content,f)||i(p.content):i(p.content)).indexOf(\"<pre\")?a+\"\\n\":h?(c=p.attrIndex(\"class\"),l=p.attrs?p.attrs.slice():[],c<0?l.push([\"class\",t.langPrefix+f]):l[c][1]+=\" \"+t.langPrefix+f,u={attrs:l},\"<pre><code\"+s.renderAttrs(u)+\">\"+a+\"</code></pre>\\n\"):\"<pre><code\"+s.renderAttrs(p)+\">\"+a+\"</code></pre>\\n\"},a.image=function(e,r,t,n,s){var o=e[r];return o.attrs[o.attrIndex(\"alt\")][1]=s.renderInlineAsText(o.children,t,n),s.renderToken(e,r,t)},a.hardbreak=function(e,r,t){return t.xhtmlOut?\"<br />\\n\":\"<br>\\n\"},a.softbreak=function(e,r,t){return t.breaks?t.xhtmlOut?\"<br />\\n\":\"<br>\\n\":\"\\n\"},a.text=function(e,r){return i(e[r].content)},a.html_block=function(e,r){return e[r].content},a.html_inline=function(e,r){return e[r].content},n.prototype.renderAttrs=function(e){var r,t,n;if(!e.attrs)return\"\";for(n=\"\",r=0,t=e.attrs.length;r<t;r++)n+=\" \"+i(e.attrs[r][0])+'=\"'+i(e.attrs[r][1])+'\"';return n},n.prototype.renderToken=function(e,r,t){var n,s=\"\",o=!1,i=e[r];return i.hidden?\"\":(i.block&&-1!==i.nesting&&r&&e[r-1].hidden&&(s+=\"\\n\"),s+=(-1===i.nesting?\"</\":\"<\")+i.tag,s+=this.renderAttrs(i),0===i.nesting&&t.xhtmlOut&&(s+=\" /\"),i.block&&(o=!0,1===i.nesting&&r+1<e.length&&(\"inline\"===(n=e[r+1]).type||n.hidden?o=!1:-1===n.nesting&&n.tag===i.tag&&(o=!1))),s+=o?\">\\n\":\">\")},n.prototype.renderInline=function(e,r,t){for(var n,s=\"\",o=this.rules,i=0,a=e.length;i<a;i++)void 0!==o[n=e[i].type]?s+=o[n](e,i,r,t,this):s+=this.renderToken(e,i,r);return s},n.prototype.renderInlineAsText=function(e,r,t){for(var n=\"\",s=0,o=e.length;s<o;s++)\"text\"===e[s].type?n+=e[s].content:\"image\"===e[s].type&&(n+=this.renderInlineAsText(e[s].children,r,t));return n},n.prototype.render=function(e,r,t){var n,s,o,i=\"\",a=this.rules;for(n=0,s=e.length;n<s;n++)\"inline\"===(o=e[n].type)?i+=this.renderInline(e[n].children,r,t):void 0!==a[o]?i+=a[e[n].type](e,n,r,t,this):i+=this.renderToken(e,n,r,t);return i},r.exports=n},{\"./common/utils\":4}],17:[function(e,r,t){\"use strict\";function n(){this.__rules__=[],this.__cache__=null}n.prototype.__find__=function(e){for(var r=0;r<this.__rules__.length;r++)if(this.__rules__[r].name===e)return r;return-1},n.prototype.__compile__=function(){var e=this,r=[\"\"];e.__rules__.forEach(function(e){e.enabled&&e.alt.forEach(function(e){r.indexOf(e)<0&&r.push(e)})}),e.__cache__={},r.forEach(function(r){e.__cache__[r]=[],e.__rules__.forEach(function(t){t.enabled&&(r&&t.alt.indexOf(r)<0||e.__cache__[r].push(t.fn))})})},n.prototype.at=function(e,r,t){var n=this.__find__(e),s=t||{};if(-1===n)throw new Error(\"Parser rule not found: \"+e);this.__rules__[n].fn=r,this.__rules__[n].alt=s.alt||[],this.__cache__=null},n.prototype.before=function(e,r,t,n){var s=this.__find__(e),o=n||{};if(-1===s)throw new Error(\"Parser rule not found: \"+e);this.__rules__.splice(s,0,{name:r,enabled:!0,fn:t,alt:o.alt||[]}),this.__cache__=null},n.prototype.after=function(e,r,t,n){var s=this.__find__(e),o=n||{};if(-1===s)throw new Error(\"Parser rule not found: \"+e);this.__rules__.splice(s+1,0,{name:r,enabled:!0,fn:t,alt:o.alt||[]}),this.__cache__=null},n.prototype.push=function(e,r,t){var n=t||{};this.__rules__.push({name:e,enabled:!0,fn:r,alt:n.alt||[]}),this.__cache__=null},n.prototype.enable=function(e,r){Array.isArray(e)||(e=[e]);var t=[];return e.forEach(function(e){var n=this.__find__(e);if(n<0){if(r)return;throw new Error(\"Rules manager: invalid rule name \"+e)}this.__rules__[n].enabled=!0,t.push(e)},this),this.__cache__=null,t},n.prototype.enableOnly=function(e,r){Array.isArray(e)||(e=[e]),this.__rules__.forEach(function(e){e.enabled=!1}),this.enable(e,r)},n.prototype.disable=function(e,r){Array.isArray(e)||(e=[e]);var t=[];return e.forEach(function(e){var n=this.__find__(e);if(n<0){if(r)return;throw new Error(\"Rules 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o,i,a,c,l,u,p,h,f,d,m,_,g,b,k,v,x,y,C,A,w=e.lineMax,D=e.bMarks[r]+e.tShift[r],q=e.eMarks[r];if(e.sCount[r]-e.blkIndent>=4)return!1;if(62!==e.src.charCodeAt(D++))return!1;if(s)return!0;for(c=f=e.sCount[r]+D-(e.bMarks[r]+e.tShift[r]),32===e.src.charCodeAt(D)?(D++,c++,f++,o=!1,v=!0):9===e.src.charCodeAt(D)?(v=!0,(e.bsCount[r]+f)%4==3?(D++,c++,f++,o=!1):o=!0):v=!1,d=[e.bMarks[r]],e.bMarks[r]=D;D<q&&(i=e.src.charCodeAt(D),n(i));)9===i?f+=4-(f+e.bsCount[r]+(o?1:0))%4:f++,D++;for(m=[e.bsCount[r]],e.bsCount[r]=e.sCount[r]+1+(v?1:0),u=D>=q,b=[e.sCount[r]],e.sCount[r]=f-c,k=[e.tShift[r]],e.tShift[r]=D-e.bMarks[r],y=e.md.block.ruler.getRules(\"blockquote\"),g=e.parentType,e.parentType=\"blockquote\",A=!1,h=r+1;h<t&&(e.sCount[h]<e.blkIndent&&(A=!0),D=e.bMarks[h]+e.tShift[h],q=e.eMarks[h],!(D>=q));h++)if(62!==e.src.charCodeAt(D++)||A){if(u)break;for(x=!1,a=0,l=y.length;a<l;a++)if(y[a](e,h,t,!0)){x=!0;break}if(x){e.lineMax=h,0!==e.blkIndent&&(d.push(e.bMarks[h]),m.push(e.bsCount[h]),k.push(e.tShift[h]),b.push(e.sCount[h]),e.sCount[h]-=e.blkIndent);break}d.push(e.bMarks[h]),m.push(e.bsCount[h]),k.push(e.tShift[h]),b.push(e.sCount[h]),e.sCount[h]=-1}else{for(c=f=e.sCount[h]+D-(e.bMarks[h]+e.tShift[h]),32===e.src.charCodeAt(D)?(D++,c++,f++,o=!1,v=!0):9===e.src.charCodeAt(D)?(v=!0,(e.bsCount[h]+f)%4==3?(D++,c++,f++,o=!1):o=!0):v=!1,d.push(e.bMarks[h]),e.bMarks[h]=D;D<q&&(i=e.src.charCodeAt(D),n(i));)9===i?f+=4-(f+e.bsCount[h]+(o?1:0))%4:f++,D++;u=D>=q,m.push(e.bsCount[h]),e.bsCount[h]=e.sCount[h]+1+(v?1:0),b.push(e.sCount[h]),e.sCount[h]=f-c,k.push(e.tShift[h]),e.tShift[h]=D-e.bMarks[h]}for(_=e.blkIndent,e.blkIndent=0,(C=e.push(\"blockquote_open\",\"blockquote\",1)).markup=\">\",C.map=p=[r,0],e.md.block.tokenize(e,r,h),(C=e.push(\"blockquote_close\",\"blockquote\",-1)).markup=\">\",e.lineMax=w,e.parentType=g,p[1]=e.line,a=0;a<k.length;a++)e.bMarks[a+r]=d[a],e.tShift[a+r]=k[a],e.sCount[a+r]=b[a],e.bsCount[a+r]=m[a];return e.blkIndent=_,!0}},{\"../common/utils\":4}],19:[function(e,r,t){\"use strict\";r.exports=function(e,r,t){var n,s,o;if(e.sCount[r]-e.blkIndent<4)return!1;for(s=n=r+1;n<t;)if(e.isEmpty(n))n++;else{if(!(e.sCount[n]-e.blkIndent>=4))break;s=++n}return e.line=s,o=e.push(\"code_block\",\"code\",0),o.content=e.getLines(r,s,4+e.blkIndent,!0),o.map=[r,e.line],!0}},{}],20:[function(e,r,t){\"use strict\";r.exports=function(e,r,t,n){var s,o,i,a,c,l,u,p=!1,h=e.bMarks[r]+e.tShift[r],f=e.eMarks[r];if(e.sCount[r]-e.blkIndent>=4)return!1;if(h+3>f)return!1;if(126!==(s=e.src.charCodeAt(h))&&96!==s)return!1;if(c=h,h=e.skipChars(h,s),(o=h-c)<3)return!1;if(u=e.src.slice(c,h),(i=e.src.slice(h,f)).indexOf(String.fromCharCode(s))>=0)return!1;if(n)return!0;for(a=r;!(++a>=t)&&(h=c=e.bMarks[a]+e.tShift[a],f=e.eMarks[a],!(h<f&&e.sCount[a]<e.blkIndent));)if(e.src.charCodeAt(h)===s&&!(e.sCount[a]-e.blkIndent>=4||(h=e.skipChars(h,s))-c<o||(h=e.skipSpaces(h))<f)){p=!0;break}return o=e.sCount[r],e.line=a+(p?1:0),l=e.push(\"fence\",\"code\",0),l.info=i,l.content=e.getLines(r+1,a,o,!0),l.markup=u,l.map=[r,e.line],!0}},{}],21:[function(e,r,t){\"use strict\";var n=e(\"../common/utils\").isSpace;r.exports=function(e,r,t,s){var o,i,a,c,l=e.bMarks[r]+e.tShift[r],u=e.eMarks[r];if(e.sCount[r]-e.blkIndent>=4)return!1;if(35!==(o=e.src.charCodeAt(l))||l>=u)return!1;for(i=1,o=e.src.charCodeAt(++l);35===o&&l<u&&i<=6;)i++,o=e.src.charCodeAt(++l);return!(i>6||l<u&&!n(o))&&(!!s||(u=e.skipSpacesBack(u,l),(a=e.skipCharsBack(u,35,l))>l&&n(e.src.charCodeAt(a-1))&&(u=a),e.line=r+1,c=e.push(\"heading_open\",\"h\"+String(i),1),c.markup=\"########\".slice(0,i),c.map=[r,e.line],c=e.push(\"inline\",\"\",0),c.content=e.src.slice(l,u).trim(),c.map=[r,e.line],c.children=[],c=e.push(\"heading_close\",\"h\"+String(i),-1),c.markup=\"########\".slice(0,i),!0))}},{\"../common/utils\":4}],22:[function(e,r,t){\"use strict\";var n=e(\"../common/utils\").isSpace;r.exports=function(e,r,t,s){var o,i,a,c,l=e.bMarks[r]+e.tShift[r],u=e.eMarks[r];if(e.sCount[r]-e.blkIndent>=4)return!1;if(42!==(o=e.src.charCodeAt(l++))&&45!==o&&95!==o)return!1;for(i=1;l<u;){if((a=e.src.charCodeAt(l++))!==o&&!n(a))return!1;a===o&&i++}return!(i<3)&&(!!s||(e.line=r+1,c=e.push(\"hr\",\"hr\",0),c.map=[r,e.line],c.markup=Array(i+1).join(String.fromCharCode(o)),!0))}},{\"../common/utils\":4}],23:[function(e,r,t){\"use strict\";var n=e(\"../common/html_blocks\"),s=e(\"../common/html_re\").HTML_OPEN_CLOSE_TAG_RE,o=[[/^<(script|pre|style)(?=(\\s|>|$))/i,/<\\/(script|pre|style)>/i,!0],[/^<!--/,/-->/,!0],[/^<\\?/,/\\?>/,!0],[/^<![A-Z]/,/>/,!0],[/^<!\\[CDATA\\[/,/\\]\\]>/,!0],[new RegExp(\"^</?(\"+n.join(\"|\")+\")(?=(\\\\s|/?>|$))\",\"i\"),/^$/,!0],[new RegExp(s.source+\"\\\\s*$\"),/^$/,!1]];r.exports=function(e,r,t,n){var s,i,a,c,l=e.bMarks[r]+e.tShift[r],u=e.eMarks[r];if(e.sCount[r]-e.blkIndent>=4)return!1;if(!e.md.options.html)return!1;if(60!==e.src.charCodeAt(l))return!1;for(c=e.src.slice(l,u),s=0;s<o.length&&!o[s][0].test(c);s++);if(s===o.length)return!1;if(n)return o[s][2];if(i=r+1,!o[s][1].test(c))for(;i<t&&!(e.sCount[i]<e.blkIndent);i++)if(l=e.bMarks[i]+e.tShift[i],u=e.eMarks[i],c=e.src.slice(l,u),o[s][1].test(c)){0!==c.length&&i++;break}return e.line=i,a=e.push(\"html_block\",\"\",0),a.map=[r,i],a.content=e.getLines(r,i,e.blkIndent,!0),!0}},{\"../common/html_blocks\":2,\"../common/html_re\":3}],24:[function(e,r,t){\"use strict\";r.exports=function(e,r,t){var n,s,o,i,a,c,l,u,p,h,f=r+1,d=e.md.block.ruler.getRules(\"paragraph\");if(e.sCount[r]-e.blkIndent>=4)return!1;for(h=e.parentType,e.parentType=\"paragraph\";f<t&&!e.isEmpty(f);f++)if(!(e.sCount[f]-e.blkIndent>3)){if(e.sCount[f]>=e.blkIndent&&(c=e.bMarks[f]+e.tShift[f],l=e.eMarks[f],c<l&&(45===(p=e.src.charCodeAt(c))||61===p)&&(c=e.skipChars(c,p),(c=e.skipSpaces(c))>=l))){u=61===p?1:2;break}if(!(e.sCount[f]<0)){for(s=!1,o=0,i=d.length;o<i;o++)if(d[o](e,f,t,!0)){s=!0;break}if(s)break}}return!!u&&(n=e.getLines(r,f,e.blkIndent,!1).trim(),e.line=f+1,a=e.push(\"heading_open\",\"h\"+String(u),1),a.markup=String.fromCharCode(p),a.map=[r,e.line],a=e.push(\"inline\",\"\",0),a.content=n,a.map=[r,e.line-1],a.children=[],a=e.push(\"heading_close\",\"h\"+String(u),-1),a.markup=String.fromCharCode(p),e.parentType=h,!0)}},{}],25:[function(e,r,t){\"use strict\";function n(e,r){var t,n,s,o;return n=e.bMarks[r]+e.tShift[r],s=e.eMarks[r],42!==(t=e.src.charCodeAt(n++))&&45!==t&&43!==t?-1:n<s&&(o=e.src.charCodeAt(n),!i(o))?-1:n}function s(e,r){var t,n=e.bMarks[r]+e.tShift[r],s=n,o=e.eMarks[r];if(s+1>=o)return-1;if((t=e.src.charCodeAt(s++))<48||t>57)return-1;for(;;){if(s>=o)return-1;if(!((t=e.src.charCodeAt(s++))>=48&&t<=57)){if(41===t||46===t)break;return-1}if(s-n>=10)return-1}return s<o&&(t=e.src.charCodeAt(s),!i(t))?-1:s}function o(e,r){var t,n,s=e.level+2;for(t=r+2,n=e.tokens.length-2;t<n;t++)e.tokens[t].level===s&&\"paragraph_open\"===e.tokens[t].type&&(e.tokens[t+2].hidden=!0,e.tokens[t].hidden=!0,t+=2)}var i=e(\"../common/utils\").isSpace;r.exports=function(e,r,t,i){var a,c,l,u,p,h,f,d,m,_,g,b,k,v,x,y,C,A,w,D,q,E,S,F,L,z,T,I,R=!1,M=!0;if(e.sCount[r]-e.blkIndent>=4)return!1;if(i&&\"paragraph\"===e.parentType&&e.tShift[r]>=e.blkIndent&&(R=!0),(S=s(e,r))>=0){if(f=!0,L=e.bMarks[r]+e.tShift[r],k=Number(e.src.substr(L,S-L-1)),R&&1!==k)return!1}else{if(!((S=n(e,r))>=0))return!1;f=!1}if(R&&e.skipSpaces(S)>=e.eMarks[r])return!1;if(b=e.src.charCodeAt(S-1),i)return!0;for(g=e.tokens.length,f?(I=e.push(\"ordered_list_open\",\"ol\",1),1!==k&&(I.attrs=[[\"start\",k]])):I=e.push(\"bullet_list_open\",\"ul\",1),I.map=_=[r,0],I.markup=String.fromCharCode(b),x=r,F=!1,T=e.md.block.ruler.getRules(\"list\"),w=e.parentType,e.parentType=\"list\";x<t;){for(E=S,v=e.eMarks[x],h=y=e.sCount[x]+S-(e.bMarks[r]+e.tShift[r]);E<v;){if(9===(a=e.src.charCodeAt(E)))y+=4-(y+e.bsCount[x])%4;else{if(32!==a)break;y++}E++}if(c=E,(p=c>=v?1:y-h)>4&&(p=1),u=h+p,I=e.push(\"list_item_open\",\"li\",1),I.markup=String.fromCharCode(b),I.map=d=[r,0],C=e.blkIndent,q=e.tight,D=e.tShift[r],A=e.sCount[r],e.blkIndent=u,e.tight=!0,e.tShift[r]=c-e.bMarks[r],e.sCount[r]=y,c>=v&&e.isEmpty(r+1)?e.line=Math.min(e.line+2,t):e.md.block.tokenize(e,r,t,!0),e.tight&&!F||(M=!1),F=e.line-r>1&&e.isEmpty(e.line-1),e.blkIndent=C,e.tShift[r]=D,e.sCount[r]=A,e.tight=q,I=e.push(\"list_item_close\",\"li\",-1),I.markup=String.fromCharCode(b),x=r=e.line,d[1]=x,c=e.bMarks[r],x>=t)break;if(e.sCount[x]<e.blkIndent)break;for(z=!1,l=0,m=T.length;l<m;l++)if(T[l](e,x,t,!0)){z=!0;break}if(z)break;if(f){if((S=s(e,x))<0)break}else if((S=n(e,x))<0)break;if(b!==e.src.charCodeAt(S-1))break}return I=f?e.push(\"ordered_list_close\",\"ol\",-1):e.push(\"bullet_list_close\",\"ul\",-1),I.markup=String.fromCharCode(b),_[1]=x,e.line=x,e.parentType=w,M&&o(e,g),!0}},{\"../common/utils\":4}],26:[function(e,r,t){\"use strict\";r.exports=function(e,r){var t,n,s,o,i,a,c=r+1,l=e.md.block.ruler.getRules(\"paragraph\"),u=e.lineMax;for(a=e.parentType,e.parentType=\"paragraph\";c<u&&!e.isEmpty(c);c++)if(!(e.sCount[c]-e.blkIndent>3||e.sCount[c]<0)){for(n=!1,s=0,o=l.length;s<o;s++)if(l[s](e,c,u,!0)){n=!0;break}if(n)break}return t=e.getLines(r,c,e.blkIndent,!1).trim(),e.line=c,i=e.push(\"paragraph_open\",\"p\",1),i.map=[r,e.line],i=e.push(\"inline\",\"\",0),i.content=t,i.map=[r,e.line],i.children=[],i=e.push(\"paragraph_close\",\"p\",-1),e.parentType=a,!0}},{}],27:[function(e,r,t){\"use strict\";var n=e(\"../common/utils\").normalizeReference,s=e(\"../common/utils\").isSpace;r.exports=function(e,r,t,o){var i,a,c,l,u,p,h,f,d,m,_,g,b,k,v,x,y=0,C=e.bMarks[r]+e.tShift[r],A=e.eMarks[r],w=r+1;if(e.sCount[r]-e.blkIndent>=4)return!1;if(91!==e.src.charCodeAt(C))return!1;for(;++C<A;)if(93===e.src.charCodeAt(C)&&92!==e.src.charCodeAt(C-1)){if(C+1===A)return!1;if(58!==e.src.charCodeAt(C+1))return!1;break}for(l=e.lineMax,v=e.md.block.ruler.getRules(\"reference\"),m=e.parentType,e.parentType=\"reference\";w<l&&!e.isEmpty(w);w++)if(!(e.sCount[w]-e.blkIndent>3||e.sCount[w]<0)){for(k=!1,p=0,h=v.length;p<h;p++)if(v[p](e,w,l,!0)){k=!0;break}if(k)break}for(A=(b=e.getLines(r,w,e.blkIndent,!1).trim()).length,C=1;C<A;C++){if(91===(i=b.charCodeAt(C)))return!1;if(93===i){d=C;break}10===i?y++:92===i&&++C<A&&10===b.charCodeAt(C)&&y++}if(d<0||58!==b.charCodeAt(d+1))return!1;for(C=d+2;C<A;C++)if(10===(i=b.charCodeAt(C)))y++;else if(!s(i))break;if(!(_=e.md.helpers.parseLinkDestination(b,C,A)).ok)return!1;if(u=e.md.normalizeLink(_.str),!e.md.validateLink(u))return!1;for(a=C=_.pos,c=y+=_.lines,g=C;C<A;C++)if(10===(i=b.charCodeAt(C)))y++;else if(!s(i))break;for(_=e.md.helpers.parseLinkTitle(b,C,A),C<A&&g!==C&&_.ok?(x=_.str,C=_.pos,y+=_.lines):(x=\"\",C=a,y=c);C<A&&(i=b.charCodeAt(C),s(i));)C++;if(C<A&&10!==b.charCodeAt(C)&&x)for(x=\"\",C=a,y=c;C<A&&(i=b.charCodeAt(C),s(i));)C++;return!(C<A&&10!==b.charCodeAt(C))&&(!!(f=n(b.slice(1,d)))&&(!!o||(void 0===e.env.references&&(e.env.references={}),void 0===e.env.references[f]&&(e.env.references[f]={title:x,href:u}),e.parentType=m,e.line=r+y+1,!0)))}},{\"../common/utils\":4}],28:[function(e,r,t){\"use strict\";function n(e,r,t,n){var s,i,a,c,l,u,p,h;for(this.src=e,this.md=r,this.env=t,this.tokens=n,this.bMarks=[],this.eMarks=[],this.tShift=[],this.sCount=[],this.bsCount=[],this.blkIndent=0,this.line=0,this.lineMax=0,this.tight=!1,this.ddIndent=-1,this.parentType=\"root\",this.level=0,this.result=\"\",h=!1,a=c=u=p=0,l=(i=this.src).length;c<l;c++){if(s=i.charCodeAt(c),!h){if(o(s)){u++,9===s?p+=4-p%4:p++;continue}h=!0}10!==s&&c!==l-1||(10!==s&&c++,this.bMarks.push(a),this.eMarks.push(c),this.tShift.push(u),this.sCount.push(p),this.bsCount.push(0),h=!1,u=0,p=0,a=c+1)}this.bMarks.push(i.length),this.eMarks.push(i.length),this.tShift.push(0),this.sCount.push(0),this.bsCount.push(0),this.lineMax=this.bMarks.length-1}var s=e(\"../token\"),o=e(\"../common/utils\").isSpace;n.prototype.push=function(e,r,t){var n=new s(e,r,t);return n.block=!0,t<0&&this.level--,n.level=this.level,t>0&&this.level++,this.tokens.push(n),n},n.prototype.isEmpty=function(e){return this.bMarks[e]+this.tShift[e]>=this.eMarks[e]},n.prototype.skipEmptyLines=function(e){for(var r=this.lineMax;e<r&&!(this.bMarks[e]+this.tShift[e]<this.eMarks[e]);e++);return e},n.prototype.skipSpaces=function(e){for(var r,t=this.src.length;e<t&&(r=this.src.charCodeAt(e),o(r));e++);return e},n.prototype.skipSpacesBack=function(e,r){if(e<=r)return e;for(;e>r;)if(!o(this.src.charCodeAt(--e)))return e+1;return e},n.prototype.skipChars=function(e,r){for(var t=this.src.length;e<t&&this.src.charCodeAt(e)===r;e++);return e},n.prototype.skipCharsBack=function(e,r,t){if(e<=t)return e;for(;e>t;)if(r!==this.src.charCodeAt(--e))return e+1;return e},n.prototype.getLines=function(e,r,t,n){var s,i,a,c,l,u,p,h=e;if(e>=r)return\"\";for(u=new Array(r-e),s=0;h<r;h++,s++){for(i=0,p=c=this.bMarks[h],l=h+1<r||n?this.eMarks[h]+1:this.eMarks[h];c<l&&i<t;){if(a=this.src.charCodeAt(c),o(a))9===a?i+=4-(i+this.bsCount[h])%4:i++;else{if(!(c-p<this.tShift[h]))break;i++}c++}u[s]=i>t?new Array(i-t+1).join(\" \")+this.src.slice(c,l):this.src.slice(c,l)}return u.join(\"\")},n.prototype.Token=s,r.exports=n},{\"../common/utils\":4,\"../token\":51}],29:[function(e,r,t){\"use strict\";function n(e,r){var t=e.bMarks[r]+e.blkIndent,n=e.eMarks[r];return e.src.substr(t,n-t)}function s(e){var r,t=[],n=0,s=e.length,o=0,i=0,a=!1,c=0;for(r=e.charCodeAt(n);n<s;)96===r?a?(a=!1,c=n):o%2==0&&(a=!0,c=n):124!==r||o%2!=0||a||(t.push(e.substring(i,n)),i=n+1),92===r?o++:o=0,++n===s&&a&&(a=!1,n=c+1),r=e.charCodeAt(n);return t.push(e.substring(i)),t}var o=e(\"../common/utils\").isSpace;r.exports=function(e,r,t,i){var a,c,l,u,p,h,f,d,m,_,g,b;if(r+2>t)return!1;if(p=r+1,e.sCount[p]<e.blkIndent)return!1;if(e.sCount[p]-e.blkIndent>=4)return!1;if((l=e.bMarks[p]+e.tShift[p])>=e.eMarks[p])return!1;if(124!==(a=e.src.charCodeAt(l++))&&45!==a&&58!==a)return!1;for(;l<e.eMarks[p];){if(124!==(a=e.src.charCodeAt(l))&&45!==a&&58!==a&&!o(a))return!1;l++}for(h=(c=n(e,r+1)).split(\"|\"),m=[],u=0;u<h.length;u++){if(!(_=h[u].trim())){if(0===u||u===h.length-1)continue;return!1}if(!/^:?-+:?$/.test(_))return!1;58===_.charCodeAt(_.length-1)?m.push(58===_.charCodeAt(0)?\"center\":\"right\"):58===_.charCodeAt(0)?m.push(\"left\"):m.push(\"\")}if(-1===(c=n(e,r).trim()).indexOf(\"|\"))return!1;if(e.sCount[r]-e.blkIndent>=4)return!1;if(h=s(c.replace(/^\\||\\|$/g,\"\")),(f=h.length)>m.length)return!1;if(i)return!0;for((d=e.push(\"table_open\",\"table\",1)).map=g=[r,0],(d=e.push(\"thead_open\",\"thead\",1)).map=[r,r+1],(d=e.push(\"tr_open\",\"tr\",1)).map=[r,r+1],u=0;u<h.length;u++)(d=e.push(\"th_open\",\"th\",1)).map=[r,r+1],m[u]&&(d.attrs=[[\"style\",\"text-align:\"+m[u]]]),(d=e.push(\"inline\",\"\",0)).content=h[u].trim(),d.map=[r,r+1],d.children=[],d=e.push(\"th_close\",\"th\",-1);for(d=e.push(\"tr_close\",\"tr\",-1),d=e.push(\"thead_close\",\"thead\",-1),(d=e.push(\"tbody_open\",\"tbody\",1)).map=b=[r+2,0],p=r+2;p<t&&!(e.sCount[p]<e.blkIndent)&&-1!==(c=n(e,p).trim()).indexOf(\"|\")&&!(e.sCount[p]-e.blkIndent>=4);p++){for(h=s(c.replace(/^\\||\\|$/g,\"\")),d=e.push(\"tr_open\",\"tr\",1),u=0;u<f;u++)d=e.push(\"td_open\",\"td\",1),m[u]&&(d.attrs=[[\"style\",\"text-align:\"+m[u]]]),(d=e.push(\"inline\",\"\",0)).content=h[u]?h[u].trim():\"\",d.children=[],d=e.push(\"td_close\",\"td\",-1);d=e.push(\"tr_close\",\"tr\",-1)}return d=e.push(\"tbody_close\",\"tbody\",-1),d=e.push(\"table_close\",\"table\",-1),g[1]=b[1]=p,e.line=p,!0}},{\"../common/utils\":4}],30:[function(e,r,t){\"use strict\";r.exports=function(e){var r;e.inlineMode?((r=new e.Token(\"inline\",\"\",0)).content=e.src,r.map=[0,1],r.children=[],e.tokens.push(r)):e.md.block.parse(e.src,e.md,e.env,e.tokens)}},{}],31:[function(e,r,t){\"use strict\";r.exports=function(e){var r,t,n,s=e.tokens;for(t=0,n=s.length;t<n;t++)\"inline\"===(r=s[t]).type&&e.md.inline.parse(r.content,e.md,e.env,r.children)}},{}],32:[function(e,r,t){\"use strict\";function n(e){return/^<a[>\\s]/i.test(e)}function s(e){return/^<\\/a\\s*>/i.test(e)}var o=e(\"../common/utils\").arrayReplaceAt;r.exports=function(e){var r,t,i,a,c,l,u,p,h,f,d,m,_,g,b,k,v,x=e.tokens;if(e.md.options.linkify)for(t=0,i=x.length;t<i;t++)if(\"inline\"===x[t].type&&e.md.linkify.pretest(x[t].content))for(_=0,r=(a=x[t].children).length-1;r>=0;r--)if(\"link_close\"!==(l=a[r]).type){if(\"html_inline\"===l.type&&(n(l.content)&&_>0&&_--,s(l.content)&&_++),!(_>0)&&\"text\"===l.type&&e.md.linkify.test(l.content)){for(h=l.content,v=e.md.linkify.match(h),u=[],m=l.level,d=0,p=0;p<v.length;p++)g=v[p].url,b=e.md.normalizeLink(g),e.md.validateLink(b)&&(k=v[p].text,k=v[p].schema?\"mailto:\"!==v[p].schema||/^mailto:/i.test(k)?e.md.normalizeLinkText(k):e.md.normalizeLinkText(\"mailto:\"+k).replace(/^mailto:/,\"\"):e.md.normalizeLinkText(\"http://\"+k).replace(/^http:\\/\\//,\"\"),(f=v[p].index)>d&&((c=new e.Token(\"text\",\"\",0)).content=h.slice(d,f),c.level=m,u.push(c)),(c=new e.Token(\"link_open\",\"a\",1)).attrs=[[\"href\",b]],c.level=m++,c.markup=\"linkify\",c.info=\"auto\",u.push(c),(c=new e.Token(\"text\",\"\",0)).content=k,c.level=m,u.push(c),(c=new e.Token(\"link_close\",\"a\",-1)).level=--m,c.markup=\"linkify\",c.info=\"auto\",u.push(c),d=v[p].lastIndex);d<h.length&&((c=new e.Token(\"text\",\"\",0)).content=h.slice(d),c.level=m,u.push(c)),x[t].children=a=o(a,r,u)}}else for(r--;a[r].level!==l.level&&\"link_open\"!==a[r].type;)r--}},{\"../common/utils\":4}],33:[function(e,r,t){\"use strict\";var n=/\\r[\\n\\u0085]?|[\\u2424\\u2028\\u0085]/g,s=/\\u0000/g;r.exports=function(e){var r;r=(r=e.src.replace(n,\"\\n\")).replace(s,\"\\ufffd\"),e.src=r}},{}],34:[function(e,r,t){\"use strict\";function n(e,r){return l[r.toLowerCase()]}function s(e){var r,t,s=0;for(r=e.length-1;r>=0;r--)\"text\"!==(t=e[r]).type||s||(t.content=t.content.replace(c,n)),\"link_open\"===t.type&&\"auto\"===t.info&&s--,\"link_close\"===t.type&&\"auto\"===t.info&&s++}function o(e){var r,t,n=0;for(r=e.length-1;r>=0;r--)\"text\"!==(t=e[r]).type||n||i.test(t.content)&&(t.content=t.content.replace(/\\+-/g,\"\\xb1\").replace(/\\.{2,}/g,\"\\u2026\").replace(/([?!])\\u2026/g,\"$1..\").replace(/([?!]){4,}/g,\"$1$1$1\").replace(/,{2,}/g,\",\").replace(/(^|[^-])---([^-]|$)/gm,\"$1\\u2014$2\").replace(/(^|\\s)--(\\s|$)/gm,\"$1\\u2013$2\").replace(/(^|[^-\\s])--([^-\\s]|$)/gm,\"$1\\u2013$2\")),\"link_open\"===t.type&&\"auto\"===t.info&&n--,\"link_close\"===t.type&&\"auto\"===t.info&&n++}var i=/\\+-|\\.\\.|\\?\\?\\?\\?|!!!!|,,|--/,a=/\\((c|tm|r|p)\\)/i,c=/\\((c|tm|r|p)\\)/gi,l={c:\"\\xa9\",r:\"\\xae\",p:\"\\xa7\",tm:\"\\u2122\"};r.exports=function(e){var r;if(e.md.options.typographer)for(r=e.tokens.length-1;r>=0;r--)\"inline\"===e.tokens[r].type&&(a.test(e.tokens[r].content)&&s(e.tokens[r].children),i.test(e.tokens[r].content)&&o(e.tokens[r].children))}},{}],35:[function(e,r,t){\"use strict\";function n(e,r,t){return e.substr(0,r)+t+e.substr(r+1)}function s(e,r){var t,s,c,p,h,f,d,m,_,g,b,k,v,x,y,C,A,w,D,q,E;for(D=[],t=0;t<e.length;t++){for(s=e[t],d=e[t].level,A=D.length-1;A>=0&&!(D[A].level<=d);A--);if(D.length=A+1,\"text\"===s.type){h=0,f=(c=s.content).length;e:for(;h<f&&(l.lastIndex=h,p=l.exec(c));){if(y=C=!0,h=p.index+1,w=\"'\"===p[0],_=32,p.index-1>=0)_=c.charCodeAt(p.index-1);else for(A=t-1;A>=0;A--)if(\"text\"===e[A].type){_=e[A].content.charCodeAt(e[A].content.length-1);break}if(g=32,h<f)g=c.charCodeAt(h);else for(A=t+1;A<e.length;A++)if(\"text\"===e[A].type){g=e[A].content.charCodeAt(0);break}if(b=a(_)||i(String.fromCharCode(_)),k=a(g)||i(String.fromCharCode(g)),v=o(_),(x=o(g))?y=!1:k&&(v||b||(y=!1)),v?C=!1:b&&(x||k||(C=!1)),34===g&&'\"'===p[0]&&_>=48&&_<=57&&(C=y=!1),y&&C&&(y=!1,C=k),y||C){if(C)for(A=D.length-1;A>=0&&(m=D[A],!(D[A].level<d));A--)if(m.single===w&&D[A].level===d){m=D[A],w?(q=r.md.options.quotes[2],E=r.md.options.quotes[3]):(q=r.md.options.quotes[0],E=r.md.options.quotes[1]),s.content=n(s.content,p.index,E),e[m.token].content=n(e[m.token].content,m.pos,q),h+=E.length-1,m.token===t&&(h+=q.length-1),f=(c=s.content).length,D.length=A;continue e}y?D.push({token:t,pos:p.index,single:w,level:d}):C&&w&&(s.content=n(s.content,p.index,u))}else w&&(s.content=n(s.content,p.index,u))}}}}var o=e(\"../common/utils\").isWhiteSpace,i=e(\"../common/utils\").isPunctChar,a=e(\"../common/utils\").isMdAsciiPunct,c=/['\"]/,l=/['\"]/g,u=\"\\u2019\";r.exports=function(e){var r;if(e.md.options.typographer)for(r=e.tokens.length-1;r>=0;r--)\"inline\"===e.tokens[r].type&&c.test(e.tokens[r].content)&&s(e.tokens[r].children,e)}},{\"../common/utils\":4}],36:[function(e,r,t){\"use strict\";function n(e,r,t){this.src=e,this.env=t,this.tokens=[],this.inlineMode=!1,this.md=r}var s=e(\"../token\");n.prototype.Token=s,r.exports=n},{\"../token\":51}],37:[function(e,r,t){\"use strict\";var n=/^<([a-zA-Z0-9.!#$%&'*+\\/=?^_`{|}~-]+@[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?(?:\\.[a-zA-Z0-9](?:[a-zA-Z0-9-]{0,61}[a-zA-Z0-9])?)*)>/,s=/^<([a-zA-Z][a-zA-Z0-9+.\\-]{1,31}):([^<>\\x00-\\x20]*)>/;r.exports=function(e,r){var t,o,i,a,c,l,u=e.pos;return 60===e.src.charCodeAt(u)&&!((t=e.src.slice(u)).indexOf(\">\")<0||(s.test(t)?(o=t.match(s),a=o[0].slice(1,-1),c=e.md.normalizeLink(a),!e.md.validateLink(c)||(r||((l=e.push(\"link_open\",\"a\",1)).attrs=[[\"href\",c]],l.markup=\"autolink\",l.info=\"auto\",(l=e.push(\"text\",\"\",0)).content=e.md.normalizeLinkText(a),(l=e.push(\"link_close\",\"a\",-1)).markup=\"autolink\",l.info=\"auto\"),e.pos+=o[0].length,0)):!n.test(t)||(i=t.match(n),a=i[0].slice(1,-1),c=e.md.normalizeLink(\"mailto:\"+a),!e.md.validateLink(c)||(r||((l=e.push(\"link_open\",\"a\",1)).attrs=[[\"href\",c]],l.markup=\"autolink\",l.info=\"auto\",(l=e.push(\"text\",\"\",0)).content=e.md.normalizeLinkText(a),(l=e.push(\"link_close\",\"a\",-1)).markup=\"autolink\",l.info=\"auto\"),e.pos+=i[0].length,0))))}},{}],38:[function(e,r,t){\"use strict\";r.exports=function(e,r){var t,n,s,o,i,a,c=e.pos;if(96!==e.src.charCodeAt(c))return!1;for(t=c,c++,n=e.posMax;c<n&&96===e.src.charCodeAt(c);)c++;for(s=e.src.slice(t,c),o=i=c;-1!==(o=e.src.indexOf(\"`\",i));){for(i=o+1;i<n&&96===e.src.charCodeAt(i);)i++;if(i-o===s.length)return r||((a=e.push(\"code_inline\",\"code\",0)).markup=s,a.content=e.src.slice(c,o).replace(/[ \\n]+/g,\" \").trim()),e.pos=i,!0}return r||(e.pending+=s),e.pos+=s.length,!0}},{}],39:[function(e,r,t){\"use strict\";r.exports=function(e){var r,t,n,s,o=e.delimiters,i=e.delimiters.length;for(r=0;r<i;r++)if((n=o[r]).close)for(t=r-n.jump-1;t>=0;){if((s=o[t]).open&&s.marker===n.marker&&s.end<0&&s.level===n.level&&!((s.close||n.open)&&void 0!==s.length&&void 0!==n.length&&(s.length+n.length)%3==0)){n.jump=r-t,n.open=!1,s.end=r,s.jump=0;break}t-=s.jump+1}}},{}],40:[function(e,r,t){\"use strict\";r.exports.tokenize=function(e,r){var t,n,s=e.pos,o=e.src.charCodeAt(s);if(r)return!1;if(95!==o&&42!==o)return!1;for(n=e.scanDelims(e.pos,42===o),t=0;t<n.length;t++)e.push(\"text\",\"\",0).content=String.fromCharCode(o),e.delimiters.push({marker:o,length:n.length,jump:t,token:e.tokens.length-1,level:e.level,end:-1,open:n.can_open,close:n.can_close});return e.pos+=n.length,!0},r.exports.postProcess=function(e){var r,t,n,s,o,i,a=e.delimiters;for(r=e.delimiters.length-1;r>=0;r--)95!==(t=a[r]).marker&&42!==t.marker||-1!==t.end&&(n=a[t.end],i=r>0&&a[r-1].end===t.end+1&&a[r-1].token===t.token-1&&a[t.end+1].token===n.token+1&&a[r-1].marker===t.marker,o=String.fromCharCode(t.marker),(s=e.tokens[t.token]).type=i?\"strong_open\":\"em_open\",s.tag=i?\"strong\":\"em\",s.nesting=1,s.markup=i?o+o:o,s.content=\"\",(s=e.tokens[n.token]).type=i?\"strong_close\":\"em_close\",s.tag=i?\"strong\":\"em\",s.nesting=-1,s.markup=i?o+o:o,s.content=\"\",i&&(e.tokens[a[r-1].token].content=\"\",e.tokens[a[t.end+1].token].content=\"\",r--))}},{}],41:[function(e,r,t){\"use strict\";var n=e(\"../common/entities\"),s=e(\"../common/utils\").has,o=e(\"../common/utils\").isValidEntityCode,i=e(\"../common/utils\").fromCodePoint,a=/^&#((?:x[a-f0-9]{1,8}|[0-9]{1,8}));/i,c=/^&([a-z][a-z0-9]{1,31});/i;r.exports=function(e,r){var t,l,u=e.pos,p=e.posMax;if(38!==e.src.charCodeAt(u))return!1;if(u+1<p)if(35===e.src.charCodeAt(u+1)){if(l=e.src.slice(u).match(a))return r||(t=\"x\"===l[1][0].toLowerCase()?parseInt(l[1].slice(1),16):parseInt(l[1],10),e.pending+=i(o(t)?t:65533)),e.pos+=l[0].length,!0}else if((l=e.src.slice(u).match(c))&&s(n,l[1]))return r||(e.pending+=n[l[1]]),e.pos+=l[0].length,!0;return r||(e.pending+=\"&\"),e.pos++,!0}},{\"../common/entities\":1,\"../common/utils\":4}],42:[function(e,r,t){\"use strict\";for(var n=e(\"../common/utils\").isSpace,s=[],o=0;o<256;o++)s.push(0);\"\\\\!\\\"#$%&'()*+,./:;<=>?@[]^_`{|}~-\".split(\"\").forEach(function(e){s[e.charCodeAt(0)]=1}),r.exports=function(e,r){var t,o=e.pos,i=e.posMax;if(92!==e.src.charCodeAt(o))return!1;if(++o<i){if((t=e.src.charCodeAt(o))<256&&0!==s[t])return r||(e.pending+=e.src[o]),e.pos+=2,!0;if(10===t){for(r||e.push(\"hardbreak\",\"br\",0),o++;o<i&&(t=e.src.charCodeAt(o),n(t));)o++;return e.pos=o,!0}}return r||(e.pending+=\"\\\\\"),e.pos++,!0}},{\"../common/utils\":4}],43:[function(e,r,t){\"use strict\";function n(e){var r=32|e;return r>=97&&r<=122}var s=e(\"../common/html_re\").HTML_TAG_RE;r.exports=function(e,r){var t,o,i,a=e.pos;return!!e.md.options.html&&(i=e.posMax,!(60!==e.src.charCodeAt(a)||a+2>=i)&&(!(33!==(t=e.src.charCodeAt(a+1))&&63!==t&&47!==t&&!n(t))&&(!!(o=e.src.slice(a).match(s))&&(r||(e.push(\"html_inline\",\"\",0).content=e.src.slice(a,a+o[0].length)),e.pos+=o[0].length,!0))))}},{\"../common/html_re\":3}],44:[function(e,r,t){\"use strict\";var n=e(\"../common/utils\").normalizeReference,s=e(\"../common/utils\").isSpace;r.exports=function(e,r){var t,o,i,a,c,l,u,p,h,f,d,m,_,g=\"\",b=e.pos,k=e.posMax;if(33!==e.src.charCodeAt(e.pos))return!1;if(91!==e.src.charCodeAt(e.pos+1))return!1;if(l=e.pos+2,(c=e.md.helpers.parseLinkLabel(e,e.pos+1,!1))<0)return!1;if((u=c+1)<k&&40===e.src.charCodeAt(u)){for(u++;u<k&&(o=e.src.charCodeAt(u),s(o)||10===o);u++);if(u>=k)return!1;for(_=u,(h=e.md.helpers.parseLinkDestination(e.src,u,e.posMax)).ok&&(g=e.md.normalizeLink(h.str),e.md.validateLink(g)?u=h.pos:g=\"\"),_=u;u<k&&(o=e.src.charCodeAt(u),s(o)||10===o);u++);if(h=e.md.helpers.parseLinkTitle(e.src,u,e.posMax),u<k&&_!==u&&h.ok)for(f=h.str,u=h.pos;u<k&&(o=e.src.charCodeAt(u),s(o)||10===o);u++);else f=\"\";if(u>=k||41!==e.src.charCodeAt(u))return e.pos=b,!1;u++}else{if(void 0===e.env.references)return!1;if(u<k&&91===e.src.charCodeAt(u)?(_=u+1,(u=e.md.helpers.parseLinkLabel(e,u))>=0?a=e.src.slice(_,u++):u=c+1):u=c+1,a||(a=e.src.slice(l,c)),!(p=e.env.references[n(a)]))return e.pos=b,!1;g=p.href,f=p.title}return r||(i=e.src.slice(l,c),e.md.inline.parse(i,e.md,e.env,m=[]),(d=e.push(\"image\",\"img\",0)).attrs=t=[[\"src\",g],[\"alt\",\"\"]],d.children=m,d.content=i,f&&t.push([\"title\",f])),e.pos=u,e.posMax=k,!0}},{\"../common/utils\":4}],45:[function(e,r,t){\"use strict\";var n=e(\"../common/utils\").normalizeReference,s=e(\"../common/utils\").isSpace;r.exports=function(e,r){var t,o,i,a,c,l,u,p,h,f=\"\",d=e.pos,m=e.posMax,_=e.pos,g=!0;if(91!==e.src.charCodeAt(e.pos))return!1;if(c=e.pos+1,(a=e.md.helpers.parseLinkLabel(e,e.pos,!0))<0)return!1;if((l=a+1)<m&&40===e.src.charCodeAt(l)){for(g=!1,l++;l<m&&(o=e.src.charCodeAt(l),s(o)||10===o);l++);if(l>=m)return!1;for(_=l,(u=e.md.helpers.parseLinkDestination(e.src,l,e.posMax)).ok&&(f=e.md.normalizeLink(u.str),e.md.validateLink(f)?l=u.pos:f=\"\"),_=l;l<m&&(o=e.src.charCodeAt(l),s(o)||10===o);l++);if(u=e.md.helpers.parseLinkTitle(e.src,l,e.posMax),l<m&&_!==l&&u.ok)for(h=u.str,l=u.pos;l<m&&(o=e.src.charCodeAt(l),s(o)||10===o);l++);else h=\"\";(l>=m||41!==e.src.charCodeAt(l))&&(g=!0),l++}if(g){if(void 0===e.env.references)return!1;if(l<m&&91===e.src.charCodeAt(l)?(_=l+1,(l=e.md.helpers.parseLinkLabel(e,l))>=0?i=e.src.slice(_,l++):l=a+1):l=a+1,i||(i=e.src.slice(c,a)),!(p=e.env.references[n(i)]))return e.pos=d,!1;f=p.href,h=p.title}return r||(e.pos=c,e.posMax=a,e.push(\"link_open\",\"a\",1).attrs=t=[[\"href\",f]],h&&t.push([\"title\",h]),e.md.inline.tokenize(e),e.push(\"link_close\",\"a\",-1)),e.pos=l,e.posMax=m,!0}},{\"../common/utils\":4}],46:[function(e,r,t){\"use strict\";var n=e(\"../common/utils\").isSpace;r.exports=function(e,r){var t,s,o=e.pos;if(10!==e.src.charCodeAt(o))return!1;for(t=e.pending.length-1,s=e.posMax,r||(t>=0&&32===e.pending.charCodeAt(t)?t>=1&&32===e.pending.charCodeAt(t-1)?(e.pending=e.pending.replace(/ +$/,\"\"),e.push(\"hardbreak\",\"br\",0)):(e.pending=e.pending.slice(0,-1),e.push(\"softbreak\",\"br\",0)):e.push(\"softbreak\",\"br\",0)),o++;o<s&&n(e.src.charCodeAt(o));)o++;return e.pos=o,!0}},{\"../common/utils\":4}],47:[function(e,r,t){\"use strict\";function n(e,r,t,n){this.src=e,this.env=t,this.md=r,this.tokens=n,this.pos=0,this.posMax=this.src.length,this.level=0,this.pending=\"\",this.pendingLevel=0,this.cache={},this.delimiters=[]}var s=e(\"../token\"),o=e(\"../common/utils\").isWhiteSpace,i=e(\"../common/utils\").isPunctChar,a=e(\"../common/utils\").isMdAsciiPunct;n.prototype.pushPending=function(){var e=new s(\"text\",\"\",0);return e.content=this.pending,e.level=this.pendingLevel,this.tokens.push(e),this.pending=\"\",e},n.prototype.push=function(e,r,t){this.pending&&this.pushPending();var n=new s(e,r,t);return t<0&&this.level--,n.level=this.level,t>0&&this.level++,this.pendingLevel=this.level,this.tokens.push(n),n},n.prototype.scanDelims=function(e,r){var t,n,s,c,l,u,p,h,f,d=e,m=!0,_=!0,g=this.posMax,b=this.src.charCodeAt(e);for(t=e>0?this.src.charCodeAt(e-1):32;d<g&&this.src.charCodeAt(d)===b;)d++;return s=d-e,n=d<g?this.src.charCodeAt(d):32,p=a(t)||i(String.fromCharCode(t)),f=a(n)||i(String.fromCharCode(n)),u=o(t),(h=o(n))?m=!1:f&&(u||p||(m=!1)),u?_=!1:p&&(h||f||(_=!1)),r?(c=m,l=_):(c=m&&(!_||p),l=_&&(!m||f)),{can_open:c,can_close:l,length:s}},n.prototype.Token=s,r.exports=n},{\"../common/utils\":4,\"../token\":51}],48:[function(e,r,t){\"use strict\";r.exports.tokenize=function(e,r){var t,n,s,o,i=e.pos,a=e.src.charCodeAt(i);if(r)return!1;if(126!==a)return!1;if(n=e.scanDelims(e.pos,!0),s=n.length,o=String.fromCharCode(a),s<2)return!1;for(s%2&&(e.push(\"text\",\"\",0).content=o,s--),t=0;t<s;t+=2)e.push(\"text\",\"\",0).content=o+o,e.delimiters.push({marker:a,jump:t,token:e.tokens.length-1,level:e.level,end:-1,open:n.can_open,close:n.can_close});return e.pos+=n.length,!0},r.exports.postProcess=function(e){var r,t,n,s,o,i=[],a=e.delimiters,c=e.delimiters.length;for(r=0;r<c;r++)126===(n=a[r]).marker&&-1!==n.end&&(s=a[n.end],(o=e.tokens[n.token]).type=\"s_open\",o.tag=\"s\",o.nesting=1,o.markup=\"~~\",o.content=\"\",(o=e.tokens[s.token]).type=\"s_close\",o.tag=\"s\",o.nesting=-1,o.markup=\"~~\",o.content=\"\",\"text\"===e.tokens[s.token-1].type&&\"~\"===e.tokens[s.token-1].content&&i.push(s.token-1));for(;i.length;){for(t=(r=i.pop())+1;t<e.tokens.length&&\"s_close\"===e.tokens[t].type;)t++;r!==--t&&(o=e.tokens[t],e.tokens[t]=e.tokens[r],e.tokens[r]=o)}}},{}],49:[function(e,r,t){\"use strict\";function n(e){switch(e){case 10:case 33:case 35:case 36:case 37:case 38:case 42:case 43:case 45:case 58:case 60:case 61:case 62:case 64:case 91:case 92:case 93:case 94:case 95:case 96:case 123:case 125:case 126:return!0;default:return!1}}r.exports=function(e,r){for(var t=e.pos;t<e.posMax&&!n(e.src.charCodeAt(t));)t++;return t!==e.pos&&(r||(e.pending+=e.src.slice(e.pos,t)),e.pos=t,!0)}},{}],50:[function(e,r,t){\"use strict\";r.exports=function(e){var r,t,n=0,s=e.tokens,o=e.tokens.length;for(r=t=0;r<o;r++)n+=s[r].nesting,s[r].level=n,\"text\"===s[r].type&&r+1<o&&\"text\"===s[r+1].type?s[r+1].content=s[r].content+s[r+1].content:(r!==t&&(s[t]=s[r]),t++);r!==t&&(s.length=t)}},{}],51:[function(e,r,t){\"use strict\";function n(e,r,t){this.type=e,this.tag=r,this.attrs=null,this.map=null,this.nesting=t,this.level=0,this.children=null,this.content=\"\",this.markup=\"\",this.info=\"\",this.meta=null,this.block=!1,this.hidden=!1}n.prototype.attrIndex=function(e){var r,t,n;if(!this.attrs)return-1;for(t=0,n=(r=this.attrs).length;t<n;t++)if(r[t][0]===e)return t;return-1},n.prototype.attrPush=function(e){this.attrs?this.attrs.push(e):this.attrs=[e]},n.prototype.attrSet=function(e,r){var t=this.attrIndex(e),n=[e,r];t<0?this.attrPush(n):this.attrs[t]=n},n.prototype.attrGet=function(e){var r=this.attrIndex(e),t=null;return r>=0&&(t=this.attrs[r][1]),t},n.prototype.attrJoin=function(e,r){var t=this.attrIndex(e);t<0?this.attrPush([e,r]):this.attrs[t][1]=this.attrs[t][1]+\" \"+r},r.exports=n},{}],52:[function(e,r,t){r.exports={Aacute:\"\\xc1\",aacute:\"\\xe1\",Abreve:\"\\u0102\",abreve:\"\\u0103\",ac:\"\\u223e\",acd:\"\\u223f\",acE:\"\\u223e\\u0333\",Acirc:\"\\xc2\",acirc:\"\\xe2\",acute:\"\\xb4\",Acy:\"\\u0410\",acy:\"\\u0430\",AElig:\"\\xc6\",aelig:\"\\xe6\",af:\"\\u2061\",Afr:\"\\ud835\\udd04\",afr:\"\\ud835\\udd1e\",Agrave:\"\\xc0\",agrave:\"\\xe0\",alefsym:\"\\u2135\",aleph:\"\\u2135\",Alpha:\"\\u0391\",alpha:\"\\u03b1\",Amacr:\"\\u0100\",amacr:\"\\u0101\",amalg:\"\\u2a3f\",amp:\"&\",AMP:\"&\",andand:\"\\u2a55\",And:\"\\u2a53\",and:\"\\u2227\",andd:\"\\u2a5c\",andslope:\"\\u2a58\",andv:\"\\u2a5a\",ang:\"\\u2220\",ange:\"\\u29a4\",angle:\"\\u2220\",angmsdaa:\"\\u29a8\",angmsdab:\"\\u29a9\",angmsdac:\"\\u29aa\",angmsdad:\"\\u29ab\",angmsdae:\"\\u29ac\",angmsdaf:\"\\u29ad\",angmsdag:\"\\u29ae\",angmsdah:\"\\u29af\",angmsd:\"\\u2221\",angrt:\"\\u221f\",angrtvb:\"\\u22be\",angrtvbd:\"\\u299d\",angsph:\"\\u2222\",angst:\"\\xc5\",angzarr:\"\\u237c\",Aogon:\"\\u0104\",aogon:\"\\u0105\",Aopf:\"\\ud835\\udd38\",aopf:\"\\ud835\\udd52\",apacir:\"\\u2a6f\",ap:\"\\u2248\",apE:\"\\u2a70\",ape:\"\\u224a\",apid:\"\\u224b\",apos:\"'\",ApplyFunction:\"\\u2061\",approx:\"\\u2248\",approxeq:\"\\u224a\",Aring:\"\\xc5\",aring:\"\\xe5\",Ascr:\"\\ud835\\udc9c\",ascr:\"\\ud835\\udcb6\",Assign:\"\\u2254\",ast:\"*\",asymp:\"\\u2248\",asympeq:\"\\u224d\",Atilde:\"\\xc3\",atilde:\"\\xe3\",Auml:\"\\xc4\",auml:\"\\xe4\",awconint:\"\\u2233\",awint:\"\\u2a11\",backcong:\"\\u224c\",backepsilon:\"\\u03f6\",backprime:\"\\u2035\",backsim:\"\\u223d\",backsimeq:\"\\u22cd\",Backslash:\"\\u2216\",Barv:\"\\u2ae7\",barvee:\"\\u22bd\",barwed:\"\\u2305\",Barwed:\"\\u2306\",barwedge:\"\\u2305\",bbrk:\"\\u23b5\",bbrktbrk:\"\\u23b6\",bcong:\"\\u224c\",Bcy:\"\\u0411\",bcy:\"\\u0431\",bdquo:\"\\u201e\",becaus:\"\\u2235\",because:\"\\u2235\",Because:\"\\u2235\",bemptyv:\"\\u29b0\",bepsi:\"\\u03f6\",bernou:\"\\u212c\",Bernoullis:\"\\u212c\",Beta:\"\\u0392\",beta:\"\\u03b2\",beth:\"\\u2136\",between:\"\\u226c\",Bfr:\"\\ud835\\udd05\",bfr:\"\\ud835\\udd1f\",bigcap:\"\\u22c2\",bigcirc:\"\\u25ef\",bigcup:\"\\u22c3\",bigodot:\"\\u2a00\",bigoplus:\"\\u2a01\",bigotimes:\"\\u2a02\",bigsqcup:\"\\u2a06\",bigstar:\"\\u2605\",bigtriangledown:\"\\u25bd\",bigtriangleup:\"\\u25b3\",biguplus:\"\\u2a04\",bigvee:\"\\u22c1\",bigwedge:\"\\u22c0\",bkarow:\"\\u290d\",blacklozenge:\"\\u29eb\",blacksquare:\"\\u25aa\",blacktriangle:\"\\u25b4\",blacktriangledown:\"\\u25be\",blacktriangleleft:\"\\u25c2\",blacktriangleright:\"\\u25b8\",blank:\"\\u2423\",blk12:\"\\u2592\",blk14:\"\\u2591\",blk34:\"\\u2593\",block:\"\\u2588\",bne:\"=\\u20e5\",bnequiv:\"\\u2261\\u20e5\",bNot:\"\\u2aed\",bnot:\"\\u2310\",Bopf:\"\\ud835\\udd39\",bopf:\"\\ud835\\udd53\",bot:\"\\u22a5\",bottom:\"\\u22a5\",bowtie:\"\\u22c8\",boxbox:\"\\u29c9\",boxdl:\"\\u2510\",boxdL:\"\\u2555\",boxDl:\"\\u2556\",boxDL:\"\\u2557\",boxdr:\"\\u250c\",boxdR:\"\\u2552\",boxDr:\"\\u2553\",boxDR:\"\\u2554\",boxh:\"\\u2500\",boxH:\"\\u2550\",boxhd:\"\\u252c\",boxHd:\"\\u2564\",boxhD:\"\\u2565\",boxHD:\"\\u2566\",boxhu:\"\\u2534\",boxHu:\"\\u2567\",boxhU:\"\\u2568\",boxHU:\"\\u2569\",boxminus:\"\\u229f\",boxplus:\"\\u229e\",boxtimes:\"\\u22a0\",boxul:\"\\u2518\",boxuL:\"\\u255b\",boxUl:\"\\u255c\",boxUL:\"\\u255d\",boxur:\"\\u2514\",boxuR:\"\\u2558\",boxUr:\"\\u2559\",boxUR:\"\\u255a\",boxv:\"\\u2502\",boxV:\"\\u2551\",boxvh:\"\\u253c\",boxvH:\"\\u256a\",boxVh:\"\\u256b\",boxVH:\"\\u256c\",boxvl:\"\\u2524\",boxvL:\"\\u2561\",boxVl:\"\\u2562\",boxVL:\"\\u2563\",boxvr:\"\\u251c\",boxvR:\"\\u255e\",boxVr:\"\\u255f\",boxVR:\"\\u2560\",bprime:\"\\u2035\",breve:\"\\u02d8\",Breve:\"\\u02d8\",brvbar:\"\\xa6\",bscr:\"\\ud835\\udcb7\",Bscr:\"\\u212c\",bsemi:\"\\u204f\",bsim:\"\\u223d\",bsime:\"\\u22cd\",bsolb:\"\\u29c5\",bsol:\"\\\\\",bsolhsub:\"\\u27c8\",bull:\"\\u2022\",bullet:\"\\u2022\",bump:\"\\u224e\",bumpE:\"\\u2aae\",bumpe:\"\\u224f\",Bumpeq:\"\\u224e\",bumpeq:\"\\u224f\",Cacute:\"\\u0106\",cacute:\"\\u0107\",capand:\"\\u2a44\",capbrcup:\"\\u2a49\",capcap:\"\\u2a4b\",cap:\"\\u2229\",Cap:\"\\u22d2\",capcup:\"\\u2a47\",capdot:\"\\u2a40\",CapitalDifferentialD:\"\\u2145\",caps:\"\\u2229\\ufe00\",caret:\"\\u2041\",caron:\"\\u02c7\",Cayleys:\"\\u212d\",ccaps:\"\\u2a4d\",Ccaron:\"\\u010c\",ccaron:\"\\u010d\",Ccedil:\"\\xc7\",ccedil:\"\\xe7\",Ccirc:\"\\u0108\",ccirc:\"\\u0109\",Cconint:\"\\u2230\",ccups:\"\\u2a4c\",ccupssm:\"\\u2a50\",Cdot:\"\\u010a\",cdot:\"\\u010b\",cedil:\"\\xb8\",Cedilla:\"\\xb8\",cemptyv:\"\\u29b2\",cent:\"\\xa2\",centerdot:\"\\xb7\",CenterDot:\"\\xb7\",cfr:\"\\ud835\\udd20\",Cfr:\"\\u212d\",CHcy:\"\\u0427\",chcy:\"\\u0447\",check:\"\\u2713\",checkmark:\"\\u2713\",Chi:\"\\u03a7\",chi:\"\\u03c7\",circ:\"\\u02c6\",circeq:\"\\u2257\",circlearrowleft:\"\\u21ba\",circlearrowright:\"\\u21bb\",circledast:\"\\u229b\",circledcirc:\"\\u229a\",circleddash:\"\\u229d\",CircleDot:\"\\u2299\",circledR:\"\\xae\",circledS:\"\\u24c8\",CircleMinus:\"\\u2296\",CirclePlus:\"\\u2295\",CircleTimes:\"\\u2297\",c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t={};t.src_Any=e(\"uc.micro/properties/Any/regex\").source,t.src_Cc=e(\"uc.micro/categories/Cc/regex\").source,t.src_Z=e(\"uc.micro/categories/Z/regex\").source,t.src_P=e(\"uc.micro/categories/P/regex\").source,t.src_ZPCc=[t.src_Z,t.src_P,t.src_Cc].join(\"|\"),t.src_ZCc=[t.src_Z,t.src_Cc].join(\"|\");return t.src_pseudo_letter=\"(?:(?![><\\uff5c]|\"+t.src_ZPCc+\")\"+t.src_Any+\")\",t.src_ip4=\"(?:(25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\\\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\",t.src_auth=\"(?:(?:(?!\"+t.src_ZCc+\"|[@/\\\\[\\\\]()]).)+@)?\",t.src_port=\"(?::(?:6(?:[0-4]\\\\d{3}|5(?:[0-4]\\\\d{2}|5(?:[0-2]\\\\d|3[0-5])))|[1-5]?\\\\d{1,4}))?\",t.src_host_terminator=\"(?=$|[><\\uff5c]|\"+t.src_ZPCc+\")(?!-|_|:\\\\d|\\\\.-|\\\\.(?!$|\"+t.src_ZPCc+\"))\",t.src_path=\"(?:[/?#](?:(?!\"+t.src_ZCc+\"|[><\\uff5c]|[()[\\\\]{}.,\\\"'?!\\\\-]).|\\\\[(?:(?!\"+t.src_ZCc+\"|\\\\]).)*\\\\]|\\\\((?:(?!\"+t.src_ZCc+\"|[)]).)*\\\\)|\\\\{(?:(?!\"+t.src_ZCc+'|[}]).)*\\\\}|\\\\\"(?:(?!'+t.src_ZCc+'|[\"]).)+\\\\\"|\\\\\\'(?:(?!'+t.src_ZCc+\"|[']).)+\\\\'|\\\\'(?=\"+t.src_pseudo_letter+\"|[-]).|\\\\.{2,3}[a-zA-Z0-9%/]|\\\\.(?!\"+t.src_ZCc+\"|[.]).|\"+(r&&r[\"---\"]?\"\\\\-(?!--(?:[^-]|$))(?:-*)|\":\"\\\\-+|\")+\"\\\\,(?!\"+t.src_ZCc+\").|\\\\!(?!\"+t.src_ZCc+\"|[!]).|\\\\?(?!\"+t.src_ZCc+\"|[?]).)+|\\\\/)?\",t.src_email_name='[\\\\-;:&=\\\\+\\\\$,\\\\\"\\\\.a-zA-Z0-9_]+',t.src_xn=\"xn--[a-z0-9\\\\-]{1,59}\",t.src_domain_root=\"(?:\"+t.src_xn+\"|\"+t.src_pseudo_letter+\"{1,63})\",t.src_domain=\"(?:\"+t.src_xn+\"|(?:\"+t.src_pseudo_letter+\")|(?:\"+t.src_pseudo_letter+\"(?:-(?!-)|\"+t.src_pseudo_letter+\"){0,61}\"+t.src_pseudo_letter+\"))\",t.src_host=\"(?:(?:(?:(?:\"+t.src_domain+\")\\\\.)*\"+t.src_domain+\"))\",t.tpl_host_fuzzy=\"(?:\"+t.src_ip4+\"|(?:(?:(?:\"+t.src_domain+\")\\\\.)+(?:%TLDS%)))\",t.tpl_host_no_ip_fuzzy=\"(?:(?:(?:\"+t.src_domain+\")\\\\.)+(?:%TLDS%))\",t.src_host_strict=t.src_host+t.src_host_terminator,t.tpl_host_fuzzy_strict=t.tpl_host_fuzzy+t.src_host_terminator,t.src_host_port_strict=t.src_host+t.src_port+t.src_host_terminator,t.tpl_host_port_fuzzy_strict=t.tpl_host_fuzzy+t.src_port+t.src_host_terminator,t.tpl_host_port_no_ip_fuzzy_strict=t.tpl_host_no_ip_fuzzy+t.src_port+t.src_host_terminator,t.tpl_host_fuzzy_test=\"localhost|www\\\\.|\\\\.\\\\d{1,3}\\\\.|(?:\\\\.(?:%TLDS%)(?:\"+t.src_ZPCc+\"|>|$))\",t.tpl_email_fuzzy=\"(^|[><\\uff5c]|\\\\(|\"+t.src_ZCc+\")(\"+t.src_email_name+\"@\"+t.tpl_host_fuzzy_strict+\")\",t.tpl_link_fuzzy=\"(^|(?![.:/\\\\-_@])(?:[$+<=>^`|\\uff5c]|\"+t.src_ZPCc+\"))((?![$+<=>^`|\\uff5c])\"+t.tpl_host_port_fuzzy_strict+t.src_path+\")\",t.tpl_link_no_ip_fuzzy=\"(^|(?![.:/\\\\-_@])(?:[$+<=>^`|\\uff5c]|\"+t.src_ZPCc+\"))((?![$+<=>^`|\\uff5c])\"+t.tpl_host_port_no_ip_fuzzy_strict+t.src_path+\")\",t}},{\"uc.micro/categories/Cc/regex\":61,\"uc.micro/categories/P/regex\":63,\"uc.micro/categories/Z/regex\":64,\"uc.micro/properties/Any/regex\":66}],55:[function(e,r,t){\"use 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            "type": "application/javascript",
            "title": "$:/plugins/anstosa/tw5-markdown/markdown.js",
            "module-type": "library"
        },
        "$:/plugins/anstosa/tw5-markdown/markdown-checkbox.js": {
            "text": "// Markdown-it plugin to render GitHub-style task lists; see\n//\n// https://github.com/blog/1375-task-lists-in-gfm-issues-pulls-comments\n// https://github.com/blog/1825-task-lists-in-all-markdown-documents\n\nmodule.exports = function(md, options) {\n\tvar defaults;\n\tdefaults = {\n\t  disabled: true,\n\t  divWrap: false,\n\t  divClass: 'checkbox',\n\t  idPrefix: 'cbx_',\n\t  ulClass: 'task-list',\n\t  liClass: 'task-list-item'\n\t};\n\toptions = Object.assign({}, defaults, options);\n\tmd.core.ruler.after('inline', 'github-task-lists', function(state) {\n\t\tvar tokens = state.tokens;\n\t\tvar lastId = 0;\n\t\tfor (var i = 2; i < tokens.length; i++) {\n\n\t\t\tif (isTodoItem(tokens, i)) {\n\t\t\t\ttodoify(tokens[i], lastId, options, state.Token);\n\t\t\t\tlastId += 1;\n\t\t\t\tattrSet(tokens[i-2], 'class', options.liClass);\n\t\t\t\tattrSet(tokens[parentToken(tokens, i-2)], 'class', options.ulClass);\n\t\t\t}\n\t\t}\n\t});\n};\n\nfunction attrSet(token, name, value) {\n\tvar index = token.attrIndex(name);\n\tvar attr = [name, value];\n\n\tif (index < 0) {\n\t\ttoken.attrPush(attr);\n\t} else {\n\t\ttoken.attrs[index] = attr;\n\t}\n}\n\nfunction parentToken(tokens, index) {\n\tvar targetLevel = tokens[index].level - 1;\n\tfor (var i = index - 1; i >= 0; i--) {\n\t\tif (tokens[i].level === targetLevel) {\n\t\t\treturn i;\n\t\t}\n\t}\n\treturn -1;\n}\n\nfunction isTodoItem(tokens, index) {\n\treturn isInline(tokens[index]) &&\n\t       isParagraph(tokens[index - 1]) &&\n\t       isListItem(tokens[index - 2]) &&\n\t       startsWithTodoMarkdown(tokens[index]);\n}\n\nfunction todoify(token, lastId, options, TokenConstructor) {\n\tvar id;\n\tid = options.idPrefix + lastId\n\ttoken.children[0].content = token.children[0].content.slice(3);\n\t// label\n\ttoken.children.unshift(beginLabel(id, TokenConstructor));\n\ttoken.children.push(endLabel(TokenConstructor));\n\t// checkbox\n\ttoken.children.unshift(makeCheckbox(token, id, options, TokenConstructor));\n\tif (options.divWrap) {\n\t\ttoken.children.unshift(beginWrap(options, TokenConstructor));\n\t\ttoken.children.push(endWrap(TokenConstructor));\n\t}\n}\n\nfunction makeCheckbox(token, id, options, TokenConstructor) {\n\tvar checkbox = new TokenConstructor('checkbox_input', 'input', 0);\n\tcheckbox.attrs = [[\"type\", \"checkbox\"], [\"id\", id]];\n\tvar checked = (token.content.indexOf('[x] ') === 0 || token.content.indexOf('[X] ') === 0)\n\tif (checked === true) {\n\t  checkbox.attrs.push([\"checked\", \"true\"]);\n\t}\n\tif (options.disabled === true) {\n\t  checkbox.attrs.push([\"disabled\", \"true\"]);\n\t}\n\t\n\treturn checkbox;\n}\n\nfunction beginLabel(id, TokenConstructor) {\n\tvar label = new TokenConstructor('label_open', 'label', 1);\n\tlabel.attrs = [[\"for\", id]];\n\treturn label;\n}\n\nfunction endLabel(TokenConstructor) {\n\treturn new TokenConstructor(\"label_close\", \"label\", -1);\n}\n\n// these next two functions are kind of hacky; probably should really be a\n// true block-level token with .tag=='label'\nfunction beginWrap(options, TokenConstructor) {\n\tvar token = new TokenConstructor('checkbox_open', 'div', 0);\n\ttoken.attrs = [[\"class\", options.divClass]];\n\treturn token;\n}\n\nfunction endWrap(TokenConstructor) {\n\tvar token = new TokenConstructor('checkbox_close', 'div', -1);\n\t// token.content = '</label>';\n\treturn token;\n}\n\nfunction isInline(token) { return token.type === 'inline'; }\nfunction isParagraph(token) { return token.type === 'paragraph_open'; }\nfunction isListItem(token) { return token.type === 'list_item_open'; }\n\nfunction startsWithTodoMarkdown(token) {\n\t// leading whitespace in a list item is already trimmed off by markdown-it\n\treturn token.content.indexOf('[ ] ') === 0 || token.content.indexOf('[x] ') === 0 || token.content.indexOf('[X] ') === 0;\n}\n",
            "type": "application/javascript",
            "title": "$:/plugins/anstosa/tw5-markdown/markdown-checkbox.js",
            "module-type": "library"
        },
        "$:/plugins/anstosa/tw5-markdown/modules/editor/operations/text/make-external-link.js": {
            "text": "/*\\\ntitle: $:/plugins/anstosa/tw5-markdown/modules/editor/operations/text/make-external-link.js\ntype: application/javascript\nmodule-type: texteditoroperation\ncondition: [<targetTiddler>type[text/x-markdown]]\n\\*/\n(() => {\n    'use strict';\n\n    exports['make-external-link'] = (event, operation) => {\n        operation.replacement = `[${operation.selection}](${event.paramObject.text})`;\n        operation.cutStart = operation.selStart;\n        operation.cutEnd = operation.selEnd;\n        operation.newSelStart = operation.selStart + operation.replacement.length;\n        operation.newSelEnd = operation.newSelStart;\n    };\n\n})();\n",
            "title": "$:/plugins/anstosa/tw5-markdown/modules/editor/operations/text/make-external-link.js",
            "type": "application/javascript",
            "module-type": "texteditoroperation",
            "condition": "[<targetTiddler>type[text/x-markdown]]"
        },
        "$:/plugins/anstosa/tw5-markdown/modules/editor/operations/text/make-internal-link.js": {
            "text": "/*\\\ntitle: $:/plugins/anstosa/tw5-markdown/modules/editor/operations/text/make-internal-link.js\ntype: application/javascript\nmodule-type: texteditoroperation\ncondition: [<targetTiddler>type[text/x-markdown]]\n\\*/\n(() => {\n    'use strict';\n\n    exports['make-internal-link'] = (event, operation) => {\n        const fragment = `#${encodeURIComponent(event.paramObject.text)}`;\n        operation.replacement = `[${operation.selection}](${fragment})`;\n        operation.cutStart = operation.selStart;\n        operation.cutEnd = operation.selEnd;\n        operation.newSelStart = operation.selStart + operation.replacement.length;\n        operation.newSelEnd = operation.newSelStart;\n    };\n\n})();\n",
            "title": "$:/plugins/anstosa/tw5-markdown/modules/editor/operations/text/make-internal-link.js",
            "type": "application/javascript",
            "module-type": "texteditoroperation",
            "condition": "[<targetTiddler>type[text/x-markdown]]"
        },
        "$:/core/ui/Buttons/new-tiddler": {
            "title": "$:/core/ui/Buttons/new-tiddler",
            "tags": "$:/tags/PageControls",
            "caption": "{{$:/core/images/new-button}} {{$:/language/Buttons/NewTiddler/Caption}}",
            "description": "{{$:/language/Buttons/NewTiddler/Hint}}",
            "text": "<$button tooltip={{$:/language/Buttons/NewTiddler/Hint}} aria-label={{$:/language/Buttons/NewTiddler/Caption}} class=<<tv-config-toolbar-class>>>\n    <$action-sendmessage $message=\"tm-new-tiddler\" type=\"text/x-markdown\"/>\n    <$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n        {{$:/core/images/new-button}}\n    </$list>\n    <$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n        <span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewTiddler/Caption}}/></span>\n    </$list>\n</$button>\n"
        },
        "$:/plugins/anstosa/tw5-markdown/readme": {
            "title": "$:/plugins/anstosa/tw5-markdown/readme",
            "type": "text/x-markdown",
            "text": "This a comprehensive Markdown plugin for TiddlyWiki including syntax from [GitHub Flavored Markdown](https://guides.github.com/features/mastering-markdown/)\n\n## Features\n\nSee the [plugin Usage page](#%24%3A%2Fplugins%2Fanstosa%2Ftw5-markdown%2Fusage) for a full demo of the supported features\n\n* **Backwards Compatible:** All your `TiddlyWiki 5` syntax still works (transclusion, macros, links, etc). Anything that the Markdown engine doesn't recognize falls back to the built-in parser.\n* Adds Markdown content type\n* Adds Markdown compatible editor toolbar\n* Defaults to Markdown for new tiddlers\n* Full set of rich Markdown features\n  * Headings\n  * Text: Bold, Italic, & Strikethrough\n  * External and internal links\n  * Embedded images\n  * Blockquote\n  * Lists: bulletted, numbered, & checkboxes\n  * Tables\n  * Horizontal rule\n  * Code: inline and block with syntax highlighting\n\n## Installation\n\nTo add the plugin to your own TiddlyWiki5, just drag this link to the browser window:\n\n[[$:/plugins/anstosa/tw5-markdown]]\n\n## Contributing\n\n[github.com/anstosa/tw5-markdown](https://github.com/anstosa/tw5-markdown)\n"
        },
        "$:/plugins/anstosa/tw5-markdown/style.js": {
            "title": "$:/plugins/anstosa/tw5-markdown/style.js",
            "type": "text/css",
            "tags": "$:/tags/Stylesheet",
            "text": ".tc-drop-down button.tc-btn-inline {\n    display: inline-block;\n    width: auto;\n}\n\n.c-task-list {\n    padding-left: 20px;\n}\n\n    .c-task-list__item {\n        align-items: center;\n        display: flex;\n        list-style: none;\n    }\n\n        [id^='c-task-list__item__checkbox__'] {\n            margin-right: 5px;\n        }\n"
        },
        "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/bold": {
            "title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/bold",
            "list-after": "$:/core/ui/EditorToolbar/bold",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/bold",
            "caption": "{{$:/language/Buttons/Bold/Caption}}",
            "description": "{{$:/language/Buttons/Bold/Hint}}",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((bold))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"**\"\n\tsuffix=\"**\"\n/>\n"
        },
        "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-1": {
            "title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-1",
            "list-after": "$:/core/ui/EditorToolbar/heading-1",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-1",
            "caption": "{{$:/language/Buttons/Heading1/Caption}}",
            "description": "{{$:/language/Buttons/Heading1/Hint}} (Markdown)",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((heading-1))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"1\"\n/>\n"
        },
        "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-2": {
            "title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-2",
            "list-after": "$:/core/ui/EditorToolbar/heading-2",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-2",
            "caption": "{{$:/language/Buttons/Heading2/Caption}}",
            "description": "{{$:/language/Buttons/Heading2/Hint}} (Markdown)",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((heading-2))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"2\"\n/>\n"
        },
        "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-3": {
            "title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-3",
            "list-after": "$:/core/ui/EditorToolbar/heading-3",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-3",
            "caption": "{{$:/language/Buttons/Heading3/Caption}}",
            "description": "{{$:/language/Buttons/Heading3/Hint}} (Markdown)",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((heading-3))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"3\"\n/>\n"
        },
        "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-4": {
            "title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-4",
            "list-after": "$:/core/ui/EditorToolbar/heading-4",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-4",
            "caption": "{{$:/language/Buttons/Heading4/Caption}}",
            "description": "{{$:/language/Buttons/Heading4/Hint}} (Markdown)",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((heading-4))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"4\"\n/>\n"
        },
        "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-5": {
            "title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/heading-5",
            "list-after": "$:/core/ui/EditorToolbar/heading-5",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-5",
            "caption": "{{$:/language/Buttons/Heading5/Caption}}",
            "description": "{{$:/language/Buttons/Heading5/Hint}} (Markdown)",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((heading-5))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"5\"\n/>\n"
        },
        "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-6": {
            "title": "$:/plugins/tiddlywiki/markdown/EditorToolbar/heading-6",
            "list-after": "$:/core/ui/EditorToolbar/heading-6",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/heading-6",
            "caption": "{{$:/language/Buttons/Heading6/Caption}}",
            "description": "{{$:/language/Buttons/Heading6/Hint}} (Markdown)",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((heading-6))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"6\"\n/>\n"
        },
        "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/italic": {
            "title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/italic",
            "list-after": "$:/core/ui/EditorToolbar/italic",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/italic",
            "caption": "{{$:/language/Buttons/Italic/Caption}}",
            "description": "{{$:/language/Buttons/Italic/Hint}} (Markdown)",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((italic))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"_\"\n\tsuffix=\"_\"\n/>\n"
        },
        "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/link-dropdown": {
            "title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/link-dropdown",
            "text": "\\define create-external-link()\n    <$action-sendmessage\n        $message=\"tm-edit-text-operation\"\n        $param=\"make-external-link\"\n        text={{$(searchTiddler)$}}\n    />\n    <$action-deletetiddler $tiddler=<<dropdown-state>> />\n    <$action-deletetiddler $tiddler=<<searchTiddler>> />\n    <$action-deletetiddler $tiddler=<<linkTiddler>> />\n\\end\n\n\\define create-internal-link()\n    <$action-sendmessage\n        $message=\"tm-edit-text-operation\"\n        $param=\"make-internal-link\"\n        text={{$(linkTiddler)$}}\n    />\n    <$action-deletetiddler $tiddler=<<dropdown-state>> />\n    <$action-deletetiddler $tiddler=<<searchTiddler>> />\n    <$action-deletetiddler $tiddler=<<linkTiddler>> />\n\\end\n\n\n\\define body(config-title)\n    ''Create link''\n\n    <$vars\n        searchTiddler=\"\"\"$config-title$/search\"\"\"\n        linkTiddler=\"\"\"$config-title$/link\"\"\"\n    >\n        <$edit-text\n            tiddler=<<searchTiddler>>\n            type=\"search\"\n            tag=\"input\"\n            focus=\"true\"\n            placeholder=\"Search or paste url\"\n            default=\"\"\n        />\n\n        <$reveal tag=\"span\" state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n            <$button\n                actions=<<create-external-link>>\n                class=\"tc-btn-invisible tc-btn-inline\"\n            >\n                {{$:/core/images/chevron-right}}\n            </$button>\n\n            <$button\n                class=\"tc-btn-invisible tc-btn-inline\"\n            >\n                <$action-setfield $tiddler=<<searchTiddler>> text=\"\" />\n                {{$:/core/images/close-button}}\n            </$button>\n        </$reveal>\n\n        <$reveal tag=\"div\" state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n            <$linkcatcher actions=<<create-internal-link>> to=<<linkTiddler>>>\n                {{$:/core/ui/SearchResults}}\n            </$linkcatcher>\n        </$reveal>\n    </$vars>\n\\end\n\n<$macrocall $name=\"body\" config-title=<<qualify \"$:/state/Link/\">> />\n"
        },
        "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/link": {
            "title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/link",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/link",
            "caption": "{{$:/language/Buttons/Link/Caption}}",
            "description": "{{$:/language/Buttons/Link/Hint}} (Markdown)",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((link))",
            "dropdown": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/link-dropdown",
            "text": ""
        },
        "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/list-bullet": {
            "title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/list-bullet",
            "list-after": "$:/core/ui/EditorToolbar/list-bullet",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/list-bullet",
            "caption": "{{$:/language/Buttons/ListBullet/Caption}}",
            "description": "{{$:/language/Buttons/ListBullet/Hint}} (Markdown)",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((list-bullet))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"*\"\n\tcount=\"1\"\n/>\n"
        },
        "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/list-number": {
            "title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/list-number",
            "list-after": "$:/core/ui/EditorToolbar/list-number",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/list-number",
            "caption": "{{$:/language/Buttons/ListNumber/Caption}}",
            "description": "{{$:/language/Buttons/ListNumber/Hint}} (Markdown)",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((list-number))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"1.\"\n\tcount=\"1\"\n/>\n"
        },
        "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/mono-block": {
            "title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/mono-block",
            "list-after": "$:/core/ui/EditorToolbar/mono-line",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/mono-block",
            "caption": "{{$:/language/Buttons/MonoBlock/Caption}}",
            "description": "{{$:/language/Buttons/MonoBlock/Hint}} (Markdown)",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((mono-block))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n```\"\n\tsuffix=\"```\"\n/>\n"
        },
        "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/mono-line": {
            "title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/mono-line",
            "list-after": "$:/core/ui/EditorToolbar/mono-line",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/mono-line",
            "caption": "{{$:/language/Buttons/MonoLine/Caption}}",
            "description": "{{$:/language/Buttons/MonoLine/Hint}} (Markdown)",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((mono-line))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"`\"\n\tsuffix=\"`\"\n/>\n"
        },
        "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/quote": {
            "title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/quote",
            "list-after": "$:/core/ui/EditorToolbar/quote",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/quote",
            "caption": "{{$:/language/Buttons/Quote/Caption}}",
            "description": "{{$:/language/Buttons/Quote/Hint}} (Markdown)",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((quote))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\">\"\n\tcount=\"1\"\n/>\n"
        },
        "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/strikethrough": {
            "title": "$:/plugins/anstosa/tw5-markdown/ui/EditorToolbar/strikethrough",
            "list-after": "$:/core/ui/EditorToolbar/italic",
            "tags": "$:/tags/EditorToolbar",
            "icon": "$:/core/images/strikethrough",
            "caption": "{{$:/language/Buttons/Strikethrough/Caption}}",
            "description": "{{$:/language/Buttons/Strikethrough/Hint}} (Markdown)",
            "condition": "[<targetTiddler>type[text/x-markdown]]",
            "shortcuts": "((strikethrough))",
            "text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"~~\"\n\tsuffix=\"~~\"\n/>\n"
        },
        "$:/plugins/anstosa/tw5-markdown/usage": {
            "title": "$:/plugins/anstosa/tw5-markdown/usage",
            "type": "text/x-markdown",
            "text": "The following serves as a quick-reference for what is supported\n\n# Heading 1\n\n## Heading 2\n\n_Italic_\n\n**Bold**\n\n~~Strikethrough~~\n\n[External Link](https://a.com)\n\n[Internal Link](#Your Page)\n\n![Image](http://placehold.it/50x50)\n\n> Blockquote\n\n* List\n* List\n* List\n\n1. One\n2. Two\n3. Three\n\n- [ ] foo\n- [X] bar\n- [ ] baz\n\n| First Header  | Second Header |\n| ------------- | ------------- |\n| Content Cell  | Content Cell  |\n| Content Cell  | Content Cell  |\n\n\nHorizontal Rule\n\n---\n\n`Inline code` with backticks\n\n```javascript\n// code block\nfunction yup() {\n    console.log('yup');\n}\n```\n"
        },
        "$:/plugins/anstosa/tw5-markdown/wrapper.js": {
            "text": "/*\\\ntitle: $:/plugins/anstosa/tw5-markdown/wrapper.js\ntype: application/javascript\nmodule-type: parser\n\nWraps up the markdown-it parser for use in TiddlyWiki5\n\\*/\n(() => {\n    'use strict';\n\n    const TYPE_WIKI = 'text/vnd.tiddlywiki';\n\n    let dom;\n    if (typeof(window) !== 'undefined') {\n        dom = new DOMParser();\n    }\n    const highlight = require('$:/plugins/anstosa/tw5-markdown/highlight.js');\n    const MarkdownIt = require('$:/plugins/anstosa/tw5-markdown/markdown.js');\n    const markdown = new MarkdownIt({\n        highlight: (source, syntax) => {\n            if (syntax && highlight.getLanguage(syntax)) {\n                try {\n                    return highlight.highlight(syntax, source).value;\n                } catch (__) {}\n            }\n            return '';\n        },\n        html: true,\n        linkify: true,\n        typographer: true,\n    });\n    markdown.use(require('$:/plugins/anstosa/tw5-markdown/markdown-checkbox.js'), {\n        disabled: true,\n        idPrefix: 'c-task-list__item__checkbox__',\n        ulClass: 'c-task-list',\n        liClass: 'c-task-list__item'\n    });\n\n    const tiddlify = (node, forceText) => {\n        if (node.nodeType === Node.TEXT_NODE) {\n            let subtree;\n            try {\n                const children = new $tw.Wiki.parsers[TYPE_WIKI](TYPE_WIKI, node.textContent, {}).tree[0].children;\n                if (children.length === 0) {\n                    subtree = null;\n                }\n                else if (children.length === 1) {\n                    subtree = children[0];\n                }\n                else {\n                    subtree = {\n                        type: 'element',\n                        tag: 'span',\n                        children: children,\n                    };\n                }\n            }\n            catch(error) {\n                subtree = null;\n            }\n            if (!forceText && subtree) {\n                return subtree;\n            }\n            else {\n                return {\n                    text: node.textContent,\n                    type: 'text'\n                };\n            }\n        }\n        if (node.tagName) {\n            const widget = {\n                attributes: {},\n                tag: node.tagName.toLowerCase(),\n                type: 'element'\n            };\n            $tw.utils.each(node.attributes, (attribute) => {\n                widget.attributes[attribute.nodeName] = {\n                    type: 'string',\n                    value: attribute.nodeValue\n                };\n            });\n            widget.children = [];\n            node.childNodes.forEach((child) => {\n                const isPlainText = (\n                    forceText ||\n                    widget.tag === 'code' ||\n                    widget.tag === 'a'\n                );\n                widget.children.push(tiddlify(child, isPlainText));\n            });\n            return widget;\n        }\n    };\n\n    class MarkdownParser {\n        constructor(type, text, options) {\n            const source = markdown.render(text);\n            const tree = dom.parseFromString(source, 'text/html');\n            this.tree = tiddlify(tree.body).children;\n        }\n    }\n\n    exports['text/x-markdown'] = MarkdownParser;\n})();\n",
            "title": "$:/plugins/anstosa/tw5-markdown/wrapper.js",
            "type": "application/javascript",
            "module-type": "parser"
        }
    }
}
{
    "tiddlers": {
        "$:/plugins/bimlas/highlight-searched-text/README/CHANGELOG": {
            "title": "$:/plugins/bimlas/highlight-searched-text/README/CHANGELOG",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "I'm trying to follow the rules of [[Semantic Versioning|https://semver.org/]].\n\n!! 0.5.0 - 2021-03-26\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-highlight-searched-text/compare/v0.4.0...v0.5.0]]\n\n* Add option to disable automatic highlighting\n* Fixed a bug that could have caused RSOD in some cases\n* Hide toolbar on printing\n\n!! 0.4.0 - 2020-02-13\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-highlight-searched-text/compare/v0.3.2...v0.4.0]]\n\n* Add option to change toolbar height and position\n\n!! 0.3.2 - 2020-02-13\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-highlight-searched-text/compare/v0.3.1...0.3.2]]\n\n* Search was performed inside CodeMirror texteditor which caused RSOD\n\n!! 0.3.1 - 2019-11-19\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-highlight-searched-text/compare/v0.3.0...v0.3.1]]\n\n* The counter showed n-1 matches\n\n!! 0.3.0 - 2019-11-19\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-highlight-searched-text/compare/v0.2.0...v0.3.0]]\n\n* Add counter\n* Move templates to their own directory\n\n!! 0.2.0 - 2019-11-18\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-highlight-searched-text/compare/v0.1.1...v0.2.0]]\n\n* Add buttons and a toolbar to navigate between matches on page (\"find in page\" feature of browsers)\n\n!! 0.1.1 - 2019-11-12\n\n[[See GitLab for detailed change history of this release|https://gitlab.com/bimlas/tw5-highlight-searched-text/compare/v0.1.0...v0.1.1]]\n\n* Add option to change the title of the tiddler containing the search term\n\n!! 0.1.0 - 2019-11-11\n\n* First public release\n"
        },
        "$:/plugins/bimlas/highlight-searched-text/README/README": {
            "title": "$:/plugins/bimlas/highlight-searched-text/README/README",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "! Highlight searched text\n\nFor example, type `search text` in the standard search and select one of the results, or just click outside of it (to hide the popup list): each of ''the words you search for will be highlighted separately in the text of the tiddlers''.\n\nIn the sidebar above the standard search, there are \"Scroll to next / previous matches\" buttons to navigate through the results on the page. In the case of a narrow screen (or according to your preferences), a toolbar will appear at the bottom of the window where you can access the same functions.\n\nSince this doesn't require a \"Find in page\" browser, ''it is convenient to use on [[TiddlyDesktop|https://tiddlywiki.com/#TiddlyDesktop]] and Android'' (via [[Tiddloid|https://tiddlywiki.com/#Saving%20on%20Android]], [[Quinoid|https://github.com/Marxsal/Quinoid01]], etc).\n\nThe plugin uses the [[Mark.js library|https://markjs.io/]].\n\n* https://bimlas.gitlab.io/tw5-highlight-searched-text (demo + install)\n* https://gitlab.com/bimlas/tw5-highlight-searched-text (main repository)\n* https://github.com/bimlas/tw5-highlight-searched-text (mirror, ''please star if you like the plugin'')\n\n!! Known issues\n\nThe \"find-in-page\" feature does not work properly with [[JD's Material theme|http://j.d.material.tiddlyspot.com/]] because when you jump to the next hit, it will be aligned with the top of the page instead of the middle of the page.\n\nIf the text of a tiddler is wider than the story river, it will not align the \"find-in-page\" toolbar at the bottom of the screen, but more lower, so it will not be visible. For example, search for \"script\" in the Shadows tab of [[$:/AdvancedSearch]] and make your browser as narrow as possible: if you scroll down and up, you will understand what I mean. This is not a bug in the plugin, but in the TiddlyWiki (or rather in the browsers).\n\n!! Tips\n\n!!! Colorized icons\n\nTo colorize the next / previous icons, create a tiddler (name can be anything), add the <<tag \"$:/tags/Stylesheet\">> tag and copy the following code into it.\n\n```css\n.bimlas-highlight-searched-text.bimlas-sidebar .bimlas-next-match svg, .bimlas-highlight-searched-text.bimlas-sticky-find-in-page .bimlas-next-match svg {\n  fill: green;\n}\n.bimlas-highlight-searched-text.bimlas-sidebar .bimlas-previous-match svg, .bimlas-highlight-searched-text.bimlas-sticky-find-in-page .bimlas-previous-match svg {\n  fill: red;\n}\n```\n\n!! Installation instructions\n\nTo add the plugin to your own ~TiddlyWiki5, just drag this link to the browser window:\n\n$:/plugins/bimlas/highlight-searched-text\n\nFor other installation options see the repositories above.\n"
        },
        "$:/plugins/bimlas/highlight-searched-text/action-scroll-to-match.js": {
            "title": "$:/plugins/bimlas/highlight-searched-text/action-scroll-to-match.js",
            "text": "/*\\\ntitle: $:/plugins/bimlas/highlight-searched-text/action-scroll-to-match.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to scroll to the next match in story river.\n\n\\*/\n(function() {\n\n\t/*jslint node: false, browser: true */\n\t/*global $tw: true */\n\t\"use strict\";\n\n\tvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\tvar updateHighlighting = require('$:/plugins/bimlas/highlight-searched-text/update-highlighting.js');\n\n\tvar ScrollToMatch = function(parseTreeNode,options) {\n\t\tthis.initialise(parseTreeNode,options);\n\t};\n\n\t/*\n\tInherit from the base widget class\n\t*/\n\tScrollToMatch.prototype = new Widget();\n\n\t/*\n\tRender this widget into the DOM\n\t*/\n\tScrollToMatch.prototype.render = function(parent,nextSibling) {\n\t\tthis.computeAttributes();\n\t\tthis.execute();\n\t};\n\n\t/*\n\tCompute the internal state of the widget\n\t*/\n\tScrollToMatch.prototype.execute = function() {\n\t\tthis.actionDirection = this.getAttribute(\"$direction\");\n\t};\n\n\t/*\n\tRefresh the widget by ensuring our attributes are up to date\n\t*/\n\tScrollToMatch.prototype.refresh = function(changedTiddlers) {\n\t\tvar changedAttributes = this.computeAttributes();\n\t\tif(changedAttributes[\"$direction\"]) {\n\t\t\tthis.refreshSelf();\n\t\t\treturn true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers);\n\t};\n\n\t/*\n\tInvoke the action associated with this widget\n\t*/\n\tScrollToMatch.prototype.invokeAction = function(triggeringWidget,event) {\n\t\tvar self = this;\n\t\tvar isHighlightingUpdated = updateHighlighting();\n\t\tvar allMatches = $tw.pageContainer.querySelectorAll('mark');\n\t\tif(allMatches.length === 0) return true;\n\t\tif(isHighlightingUpdated && resultsAreFoundOnTheCurrentScreen()) return true;\n\n\t\tvar targetMatch = this.actionDirection === \"previous\"\n\t\t\t? findBackwardFromThePreviousHalfScreen()\n\t\t\t: findForwardFromTheNextHalfScreen();\n\n\t\t$tw.pageScroller.scrollIntoView(targetMatch, function() {\n\t\t\treturn alignBoundingBoxToMiddleOfTheScreen(targetMatch.getBoundingClientRect());\n\t\t});\n\t\tthis.previousMatch = targetMatch;\n\t\treturn true; // Action was invoked\n\n\t\tfunction resultsAreFoundOnTheCurrentScreen() {\n\t\t\treturn [].slice.call(allMatches).reduce(function(accumulator,match) {\n\t\t\t\treturn accumulator || (getPositionOfElementRelativeToScreen(match) === 0);\n\t\t\t}, false);\n\t\t}\n\n\t\tfunction findBackwardFromThePreviousHalfScreen() {\n\t\t\tvar foundMatch;\n\t\t\tfor(var index = allMatches.length-1; index >= 0; index--) {\n\t\t\t\tif(getPositionOfElementRelativeToScreen(allMatches[index]) < 0) {\n\t\t\t\t\tfoundMatch = allMatches[index];\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn !foundMatch || (foundMatch === self.previousMatch) ? allMatches[allMatches.length-1] : foundMatch;\n\t\t}\n\n\t\tfunction findForwardFromTheNextHalfScreen() {\n\t\t\tvar foundMatch;\n\t\t\tfor(var index = 0; index < allMatches.length; index++) {\n\t\t\t\tif(getPositionOfElementRelativeToScreen(allMatches[index]) > 0) {\n\t\t\t\t\tfoundMatch = allMatches[index];\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn !foundMatch || (foundMatch === self.previousMatch) ? allMatches[0] : foundMatch;\n\t\t}\n\n\t\tfunction alignBoundingBoxToMiddleOfTheScreen(boundingBox) {\n\t\t\treturn {\n\t\t\t\tleft: boundingBox.left,\n\t\t\t\ttop: boundingBox.top - window.innerHeight/2,\n\t\t\t\twidth: boundingBox.width,\n\t\t\t\theight: boundingBox.height\n\t\t\t};\n\t\t}\n\n\t\tfunction getPositionOfElementRelativeToScreen(elem) {\n\t\t\tvar elementYOffset = elem.getBoundingClientRect().top;\n\t\t\tif (elementYOffset < window.innerHeight*0.25) return -1;\n\t\t\tif (elementYOffset > (window.innerHeight-30*window.devicePixelRatio/* height of the toolbar */)*0.75 ) return 1;\n\t\t\treturn 0;\n\t\t}\n\t};\n\n\texports[\"action-scroll-to-match\"] = ScrollToMatch;\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/plugins/bimlas/highlight-searched-text/buttons/clear-input": {
            "title": "$:/plugins/bimlas/highlight-searched-text/buttons/clear-input",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "<$button class=\"tc-btn-invisible bimlas-clear-input\" tooltip=\"Clear text input\" set={{$:/config/bimlas/highlight-searched-text/search-tiddler}} setTo=\"\">\n    {{$:/core/images/close-button}}\n</$button>\n"
        },
        "$:/plugins/bimlas/highlight-searched-text/buttons/hide-toolbar": {
            "title": "$:/plugins/bimlas/highlight-searched-text/buttons/hide-toolbar",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "<$button class=\"tc-btn-invisible bimlas-hide-toolbar\" tooltip=\"Hide this toolbar\" set=\"$:/state/bimlas/highlight-searched-text/toolbar\" setTo=\"hide\">\n    {{$:/core/images/advanced-search-button}}\n</$button>\n"
        },
        "$:/plugins/bimlas/highlight-searched-text/buttons/next-match": {
            "title": "$:/plugins/bimlas/highlight-searched-text/buttons/next-match",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "<$button class=\"tc-btn-invisible bimlas-next-match\" tooltip=\"Scroll to next matches\">\n    <$action-scroll-to-match $direction=\"next\"/>\n    {{$:/core/images/down-arrow}}\n</$button>\n"
        },
        "$:/plugins/bimlas/highlight-searched-text/buttons/previous-match": {
            "title": "$:/plugins/bimlas/highlight-searched-text/buttons/previous-match",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "<$button class=\"tc-btn-invisible bimlas-previous-match\" tooltip=\"Scroll to previous matches\">\n    <$action-scroll-to-match $direction=\"previous\"/>\n    {{$:/core/images/up-arrow}}\n</$button>\n"
        },
        "$:/plugins/bimlas/highlight-searched-text/buttons/show-toolbar": {
            "title": "$:/plugins/bimlas/highlight-searched-text/buttons/show-toolbar",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "<$button class=\"tc-btn-invisible bimlas-show-toolbar\" tooltip=\"Find in page\" set=\"$:/state/bimlas/highlight-searched-text/toolbar\" setTo=\"show\">\n    {{$:/core/images/advanced-search-button}}\n</$button>\n"
        },
        "$:/plugins/bimlas/highlight-searched-text/mark.js": {
            "title": "$:/plugins/bimlas/highlight-searched-text/mark.js",
            "text": "/*\\\ntitle: $:/plugins/bimlas/highlight-searched-text/mark.js\ntype: application/javascript\nmodule-type: library\n\n* mark.js v8.11.1\n* https://markjs.io/\n* Copyright (c) 2014–2018, Julian Kühnel\n* Released under the MIT license https://git.io/vwTVl\n\n\\*/\n\n!function(e,t){\"object\"==typeof exports&&\"undefined\"!=typeof module?module.exports=t():\"function\"==typeof define&&define.amd?define(t):e.Mark=t()}(this,function(){\"use strict\";var e=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&\"function\"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e},t=function(e,t){if(!(e instanceof t))throw new TypeError(\"Cannot call a class as a function\")},n=function(){function e(e,t){for(var n=0;n<t.length;n++){var r=t[n];r.enumerable=r.enumerable||!1,r.configurable=!0,\"value\"in r&&(r.writable=!0),Object.defineProperty(e,r.key,r)}}return function(t,n,r){return 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n=this.opt.element?this.opt.element:\"*\";n+=\"[data-markjs]\",this.opt.className&&(n+=\".\"+this.opt.className),this.log('Removal selector \"'+n+'\"'),this.iterator.forEachNode(NodeFilter.SHOW_ELEMENT,function(e){t.unwrapMatches(e)},function(e){var r=i.matches(e,n),o=t.matchesExclude(e);return!r||o?NodeFilter.FILTER_REJECT:NodeFilter.FILTER_ACCEPT},this.opt.done)}},{key:\"opt\",set:function(e){this._opt=r({},{element:\"\",className:\"\",exclude:[],iframes:!1,iframesTimeout:5e3,separateWordSearch:!0,diacritics:!0,synonyms:{},accuracy:\"partially\",acrossElements:!1,caseSensitive:!1,ignoreJoiners:!1,ignoreGroups:0,ignorePunctuation:[],wildcards:\"disabled\",each:function(){},noMatch:function(){},filter:function(){return!0},done:function(){},debug:!1,log:window.console},e)},get:function(){return this._opt}},{key:\"iterator\",get:function(){return new i(this.ctx,this.opt.iframes,this.opt.exclude,this.opt.iframesTimeout)}}]),o}();return function(e){var t=this,n=new o(e);return 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            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "! Settings\n\n!! The system tiddler used for searching\n\nThe plugin works basically with standard search, but if you use a theme or a plugin that stores the term you are looking for elsewhere, you can specify the appropriate tiddler here.\n\n<$edit-text tiddler=\"$:/config/bimlas/highlight-searched-text/search-tiddler\" tag=\"input\"/>\n\nTo find the tiddler that stores the search string, make a search for `find-my-search-tiddler` in your standard search field (e.g. in the sidebar). The tiddler will be shown bellow.\n\n<<list-links filter:\"[all[tiddlers]search[find-my-search-tiddler]] -[all[current]]\">>\n\n!! Toolbar visibility\n\nIn a narrow browser or smartphone, the sidebar appears at the top of the page, so we can't conveniently use the search box there to search within the page. To fix this, we have a toolbar (magnifying glass icon in the corner of the window). If you wish, you can turn this off or make it visible in wider browsers (it can also be useful if, for example, your theme hides the sidebar).\n\n<$radio tiddler=\"$:/config/bimlas/highlight-searched-text/toolbar-visibility\" value=\"never\"> Never </$radio>\n\n<$radio tiddler=\"$:/config/bimlas/highlight-searched-text/toolbar-visibility\" value=\"smallscreen\"> Only on small screens </$radio>\n\n<$radio tiddler=\"$:/config/bimlas/highlight-searched-text/toolbar-visibility\" value=\"allways\"> Allways </$radio>\n\nHeight: <$edit-text tiddler=\"$:/config/bimlas/highlight-searched-text/toolbar-height\" tag=\"input\"/>\n\nOffset from bottom: <$edit-text tiddler=\"$:/config/bimlas/highlight-searched-text/toolbar-offset\" tag=\"input\"/>\n\n//To display it at the top of the page, use the following formula://\n\n```\ncalc(100% - {{$:/config/bimlas/highlight-searched-text/toolbar-height}})\n```\n\n!! Auto highlight\n\nIf you want the highlight to be performed only when you click the \"Go to next / previous matches\" buttons, turn off this option.\n\n<$checkbox tiddler=\"$:/config/bimlas/highlight-searched-text/auto-highlight\" field=\"text\" checked=\"yes\" unchecked=\"no\"> Automatically highlight matches </$checkbox>\n"
        },
        "$:/config/bimlas/highlight-searched-text/auto-highlight": {
            "title": "$:/config/bimlas/highlight-searched-text/auto-highlight",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "yes"
        },
        "$:/config/bimlas/highlight-searched-text/search-tiddler": {
            "title": "$:/config/bimlas/highlight-searched-text/search-tiddler",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "$:/temp/search"
        },
        "$:/config/bimlas/highlight-searched-text/toolbar-height": {
            "title": "$:/config/bimlas/highlight-searched-text/toolbar-height",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "30px"
        },
        "$:/config/bimlas/highlight-searched-text/toolbar-offset": {
            "title": "$:/config/bimlas/highlight-searched-text/toolbar-offset",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "0px"
        },
        "$:/config/bimlas/highlight-searched-text/toolbar-visibility": {
            "title": "$:/config/bimlas/highlight-searched-text/toolbar-visibility",
            "tags": "",
            "type": "text/vnd.tiddlywiki",
            "text": "smallscreen"
        },
        "$:/plugins/bimlas/highlight-searched-text/startup-action.js": {
            "title": "$:/plugins/bimlas/highlight-searched-text/startup-action.js",
            "text": "/*\\\ntitle: $:/plugins/bimlas/highlight-searched-text/startup-action.js\ntype: application/javascript\nmodule-type: startup\n\nAdd event listeners to highlight searched text\n\n\\*/\n\n(function() {\n\n\t/*jslint node: false, browser: true */\n\t/*global $tw: true */\n\t\"use strict\";\n\n\tvar updateHighlighting = require('$:/plugins/bimlas/highlight-searched-text/update-highlighting.js');\n\n\t// Export name and synchronous status\n\texports.name = \"highlightsearch\";\n\texports.platforms = [\"browser\"];\n\texports.after = [\"story\"];\n\texports.synchronous = true;\n\n\texports.startup = function() {\n\t\t$tw.wiki.addEventListener(\"change\",function(changedTiddlers) {\n\t\t\tif(Object.keys(changedTiddlers).reduce(function(accumulator,current) {\n\t\t\t\treturn accumulator || searchTextBecameEmpty(current) || (autoHighlightEnabled() && searchPopupBecameHidden(current,changedTiddlers[current]))\n\t\t\t},false)) {\n\t\t\t\tupdateHighlighting();\n\t\t\t}\n\t\t});\n\t\t$tw.hooks.addHook(\"th-navigating\",function(event) {\n\t\t\tif(autoHighlightEnabled()) {\n\t\t\t  // TODO: It should update highlight only if navigated from search results - how to check this?\n\t\t\t  setTimeout(function() {\n\t\t\t    updateHighlighting(true);\n\t\t\t  }, $tw.wiki.getTiddlerText(\"$:/config/AnimationDuration\"));\n\t\t    }\n\t\t\treturn (event);\n\t\t});\n\t\t$tw.hooks.addHook(\"th-editing-tiddler\",function(event) {\n\t\t\tclearHighlighting();\n\t\t\treturn (event);\n\t\t});\n\t\t$tw.hooks.addHook(\"th-new-tiddler\",function(event) {\n\t\t\tclearHighlighting();\n\t\t\treturn (event);\n\t\t});\n\t};\n\n\tfunction autoHighlightEnabled() {\n\t\treturn $tw.wiki.getTiddlerText(\"$:/config/bimlas/highlight-searched-text/auto-highlight\") === \"yes\";\n\t}\n\n\tfunction searchPopupBecameHidden(title,value) {\n\t\treturn (title.indexOf(\"$:/state/popup/search-dropdown\") === 0) && value.deleted\n\t}\n\n\tfunction searchTextBecameEmpty(title) {\n\t\tvar searchTiddler = $tw.wiki.getTiddlerText(\"$:/config/bimlas/highlight-searched-text/search-tiddler\");\n\t\treturn title === searchTiddler && $tw.wiki.getTiddlerText(searchTiddler) === \"\"\n\t}\n\n\tfunction clearHighlighting() {\n\t\tsetTimeout(function() {\n\t\t\tupdateHighlighting(true, \"\");\n\t\t}, $tw.wiki.getTiddlerText(\"$:/config/AnimationDuration\"));\n\t}\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/plugins/bimlas/highlight-searched-text/stylesheet": {
            "title": "$:/plugins/bimlas/highlight-searched-text/stylesheet",
            "tags": "$:/tags/Stylesheet",
            "type": "",
            "text": ".bimlas-highlight-searched-text.bimlas-sticky-find-in-page {\n    display: -webkit-flex;\n    display: flex;\n    align-items: center;\n    position: fixed;\n    bottom: {{$:/config/bimlas/highlight-searched-text/toolbar-offset}};\n    /*\n      Aligned to the right it disappears when eg. the search results in\n      $:/AdvancedSearch have such a long filename that the page becomes wider\n      than the screen.\n    */\n    left: 0;\n    z-index: 500;\n    height: {{$:/config/bimlas/highlight-searched-text/toolbar-height}};\n    font-size: calc({{$:/config/bimlas/highlight-searched-text/toolbar-height}} * 18 / 30);\n    padding: 0;\n    background-color: <<colour tiddler-background>>;\n    border: 1px solid <<colour tiddler-border>>;\n    border-radius: 1em;\n    <<box-shadow \"1px 1px 5px rgba(0, 0, 0, 0.3)\">>\n}\n\n.bimlas-highlight-searched-text .bimlas-counter {\n    white-space: nowrap;\n}\n\n.bimlas-highlight-searched-text.bimlas-sticky-find-in-page > * {\n    padding: 0 0.25em;\n}\n\n.bimlas-highlight-searched-text.bimlas-sticky-find-in-page input {\n    width: 100%;\n}\n\n.bimlas-highlight-searched-text.bimlas-sticky-find-in-page button {\n    flex: 0 0 {{$:/config/bimlas/highlight-searched-text/toolbar-height}};\n}\n\n<$list filter=\"[[$:/state/bimlas/highlight-searched-text/toolbar]contains:text[show]]\">\n    .bimlas-highlight-searched-text.bimlas-sticky-find-in-page {\n        width: 100vw;\n        /* Without this, the scrollbar would overlap the last button */\n        padding-right: 15px;\n        border-radius: 0;\n    }\n</$list>\n\n<$list filter=\"[[$:/config/bimlas/highlight-searched-text/toolbar-visibility]contains:text[smallscreen]]\">\n    @media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n        .bimlas-highlight-searched-text.bimlas-sticky-find-in-page {\n            display: none;\n        }\n    }\n</$list>\n\n@media print {\n    .bimlas-highlight-searched-text {\n        display: none !important;\n    }\n}"
        },
        "$:/plugins/bimlas/highlight-searched-text/templates/counter": {
            "title": "$:/plugins/bimlas/highlight-searched-text/templates/counter",
            "tags": "",
            "type": "",
            "text": "<span class=\"bimlas-counter\"> {{$:/temp/bimlas/highlight-searched-text/counter}} </span>"
        },
        "$:/plugins/bimlas/highlight-searched-text/templates/sidebar": {
            "title": "$:/plugins/bimlas/highlight-searched-text/templates/sidebar",
            "list-before": "$:/core/ui/SideBarSegments/search",
            "tags": "$:/tags/SideBarSegment",
            "type": "text/vnd.tiddlywiki",
            "text": "<div class=\"bimlas-highlight-searched-text bimlas-sidebar\">\n\t<!--\n\t\tIf emptyMessage were not specified, the height of the sibebar would be\n\t\tvariable (because find-in-page is either visible or not), so I will\n\t\tdisplay a placeholder if there is no search term.\n\t-->\n\t<$list filter=\"[{$:/config/bimlas/highlight-searched-text/search-tiddler}get[text]]\" emptyMessage=\"&nbsp;\">\n\t\tFind in page: {{$:/plugins/bimlas/highlight-searched-text/buttons/next-match}} {{$:/plugins/bimlas/highlight-searched-text/buttons/previous-match}} {{$:/plugins/bimlas/highlight-searched-text/templates/counter}}\n\t</$list>\n</div>\n"
        },
        "$:/plugins/bimlas/highlight-searched-text/templates/toolbar": {
            "title": "$:/plugins/bimlas/highlight-searched-text/templates/toolbar",
            "tags": "$:/tags/PageTemplate",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define collapsed()\n    {{$:/plugins/bimlas/highlight-searched-text/buttons/show-toolbar}}\n\\end\n\n\\define expanded()\n        {{$:/plugins/bimlas/highlight-searched-text/buttons/hide-toolbar}}\n        <$keyboard key=\"enter\">\n            <$action-scroll-to-match $direction=\"next\"/>\n            <$edit-text tiddler={{$:/config/bimlas/highlight-searched-text/search-tiddler}} placeholder=\"Find in page...\" tag=\"input\" type=\"search\"/>\n        </$keyboard>\n        {{$:/plugins/bimlas/highlight-searched-text/templates/counter}}\n        {{$:/plugins/bimlas/highlight-searched-text/buttons/next-match}}\n        {{$:/plugins/bimlas/highlight-searched-text/buttons/previous-match}}\n        {{$:/plugins/bimlas/highlight-searched-text/buttons/clear-input}}\n\\end\n\n<$list filter=\"[[$:/config/bimlas/highlight-searched-text/toolbar-visibility]!contains:text[never]]\">\n    <div class=\"bimlas-highlight-searched-text bimlas-sticky-find-in-page\">\n        <$list filter=\"[[$:/state/bimlas/highlight-searched-text/toolbar]contains:text[show]]\" emptyMessage=<<collapsed>>>\n            <<expanded>>\n        </$list>\n    </div>\n</$list>\n"
        },
        "$:/plugins/bimlas/highlight-searched-text/update-highlighting.js": {
            "title": "$:/plugins/bimlas/highlight-searched-text/update-highlighting.js",
            "text": "/*\\\ntitle: $:/plugins/bimlas/highlight-searched-text/update-highlighting.js\ntype: application/javascript\nmodule-type: library\n\nUpdate highlight of searched text (find in page)\n\n\\*/\n\nvar\n\tMark = require(\"$:/plugins/bimlas/highlight-searched-text/mark.js\"),\n\tmarkInstance;\n\tpreviousSearchedText = '';\n\nmodule.exports = function(force = false, customSearchedText = null) {\n\tvar searchTiddler = $tw.wiki.getTiddlerText(\"$:/config/bimlas/highlight-searched-text/search-tiddler\");\n\tvar searchedText = customSearchedText !== null ? customSearchedText : $tw.wiki.getTiddlerText(searchTiddler);\n\tvar totalCounter = 0;\n\n\tif((searchedText === previousSearchedText) && !force) return false;\n\n\tif(!markInstance) markInstance = new Mark(document.getElementsByClassName(\"tc-story-river\")[0]);\n\tmarkInstance.unmark();\n\tif(searchedText !== \"\") markInstance.mark(searchedText, {\n\t\texclude: [\n\t\t\t\".tc-tiddler-edit-frame *\"\n\t\t],\n\t\tfilter: function(node, term, count) {\n\t\t\ttotalCounter = count + 1;\n\t\t\treturn true;\n\t\t}\n\t});\n\tsetCounterTiddler(totalCounter);\n\tpreviousSearchedText = searchedText;\n\treturn true;\n};\n\nfunction setCounterTiddler(totalCounter) {\n\tvar defaultFields = $tw.wiki.getCreationFields();\n\tvar tiddlerFields = {\n\t\ttitle: \"$:/temp/bimlas/highlight-searched-text/counter\",\n\t\ttext: \"(\" + totalCounter + \")\"\n\t};\n\t$tw.wiki.addTiddler(new $tw.Tiddler(tiddlerFields, defaultFields));\n}\n",
            "type": "application/javascript",
            "module-type": "library"
        }
    }
}
{
    "tiddlers": {
        "$:/plugins/flibbles/relink/js/bulkops.js": {
            "text": "/*\\\nmodule-type: startup\n\nReplaces the relinkTiddler defined in $:/core/modules/wiki-bulkops.js\n\nThis is a startup instead of a wikimethods module-type because it's the only\nway to ensure this runs after the old relinkTiddler method is applied.\n\n\\*/\n(function(){\n\n/*jslint node: false, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar language = require('$:/plugins/flibbles/relink/js/language.js');\nvar utils = require(\"$:/plugins/flibbles/relink/js/utils.js\");\n\nexports.name = \"redefine-relinkTiddler\";\nexports.synchronous = true;\n// load-modules is when wikimethods are applied in\n// ``$:/core/modules/startup/load-modules.js``\nexports.after = ['load-modules'];\n\nexports.startup = function() {\n\t$tw.Wiki.prototype.relinkTiddler = relinkTiddler;\n};\n\n/** Walks through all relinkable tiddlers and relinks them.\n *  This replaces the existing function in core Tiddlywiki.\n */\nfunction relinkTiddler(fromTitle, toTitle, options) {\n\toptions = options || {};\n\tvar failures = [];\n\tvar indexer = utils.getIndexer(this);\n\tvar records = indexer.relinkLookup(fromTitle, toTitle, options);\n\tfor (var title in records) {\n\t\tvar entries = records[title],\n\t\t\tchanges = Object.create(null),\n\t\t\tupdate = false,\n\t\t\tfails = false;\n\t\tfor (var field in entries) {\n\t\t\tvar entry = entries[field];\n\t\t\tfails = fails || entry.impossible;\n\t\t\tif (entry.output) {\n\t\t\t\tchanges[field] = entry.output;\n\t\t\t\tupdate = true;\n\t\t\t}\n\t\t}\n\t\tif (fails) {\n\t\t\tfailures.push(title);\n\t\t}\n\t\t// If any fields changed, update tiddler\n\t\tif (update) {\n\t\t\tconsole.log(\"Renaming '\"+fromTitle+\"' to '\"+toTitle+\"' in '\" + title + \"'\");\n\n\t\t\tvar tiddler = this.getTiddler(title);\n\t\t\tvar newTiddler = new $tw.Tiddler(tiddler,changes,this.getModificationFields())\n\t\t\tnewTiddler = $tw.hooks.invokeHook(\"th-relinking-tiddler\",newTiddler,tiddler);\n\t\t\tthis.addTiddler(newTiddler);\n\t\t\t// If the title changed, we need to perform a nested rename\n\t\t\tif (newTiddler.fields.title !== title) {\n\t\t\t\tthis.deleteTiddler(title);\n\t\t\t\tthis.relinkTiddler(title, newTiddler.fields.title,options);\n\t\t\t}\n\t\t}\n\t};\n\tif (failures.length > 0) {\n\t\tvar options = $tw.utils.extend(\n\t\t\t{ variables: {to: toTitle, from: fromTitle},\n\t\t\t  wiki: this},\n\t\t\toptions );\n\t\tlanguage.reportFailures(failures, options);\n\t}\n};\n\n})();\n",
            "module-type": "startup",
            "title": "$:/plugins/flibbles/relink/js/bulkops.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/indexer.js": {
            "text": "/*\\\nmodule-type: indexer\n\nIndexes results from tiddler reference reports so we don't have to call them\nso much.\n\n\\*/\n\n\"use strict\";\n\nvar utils = require(\"./utils.js\");\nvar TiddlerContext = utils.getContext('tiddler');\n\nfunction Indexer(wiki) {\n\tthis.wiki = wiki;\n};\n\nIndexer.prototype.init = function() {\n\tthis.rebuild();\n};\n\nIndexer.prototype.rebuild = function() {\n\tthis.index = null;\n\tthis.backIndex = null;\n\tthis.contexts = Object.create(null);\n\tthis.changedTiddlers = undefined;\n\tthis.lastRelinkFrom = undefined;\n};\n\nIndexer.prototype.update = function(updateDescriptor) {\n\tif (!this.index) {\n\t\treturn;\n\t}\n\tvar title;\n\tif (!this.changedTiddlers) {\n\t\tthis.changedTiddlers = Object.create(null);\n\t}\n\tif (updateDescriptor.old.exists) {\n\t\ttitle = updateDescriptor.old.tiddler.fields.title;\n\t\tthis.changedTiddlers[title] = {deleted: true};\n\t\tthis._purge(title);\n\t}\n\tif (updateDescriptor['new'].exists) {\n\t\t// If its the same tiddler as old, this overrides the 'deleted' entry\n\t\ttitle = updateDescriptor['new'].tiddler.fields.title;\n\t\tthis.changedTiddlers[title] = {modified: true};\n\t}\n};\n\nIndexer.prototype.lookup = function(title) {\n\tthis._upkeep();\n\treturn this.index[title];\n};\n\nIndexer.prototype.reverseLookup = function(title) {\n\tthis._upkeep();\n\treturn this.backIndex[title] || Object.create(null);\n};\n\nIndexer.prototype.relinkLookup = function(fromTitle, toTitle, options) {\n\tthis._upkeep();\n\tvar shortlist = undefined;\n\tif (this.lastRelinkFrom === fromTitle) {\n\t\tif (this.lastRelinkTo === toTitle) {\n\t\t\t// We need to reintroduce the relink cache, where temporary info\n\t\t\t// was stored.\n\t\t\toptions.cache = this.lastRelinkCache;\n\t\t\treturn this.lastRelinkResult;\n\t\t}\n\t\tshortlist = Object.keys(this.lastRelinkResult);\n\t}\n\tthis.lastRelinkResult = utils.getRelinkResults(this.wiki, fromTitle, toTitle, this.context, shortlist, options);\n\tthis.lastRelinkTo = toTitle;\n\tthis.lastRelinkFrom = fromTitle;\n\tthis.lastRelinkCache = options.cache;\n\treturn this.lastRelinkResult;\n};\n\nIndexer.prototype._upkeep = function() {\n\tvar title;\n\tif (this.changedTiddlers && (this.context.changed(this.changedTiddlers) || this.context.parent.changed(this.changedTiddlers))) {\n\t\t// If global macro context or whitelist context changed, wipe all\n\t\tthis.rebuild();\n\t}\n\tif (!this.index) {\n\t\tthis.index = Object.create(null);\n\t\tthis.backIndex = Object.create(null);\n\t\tthis.context = utils.getWikiContext(this.wiki);\n\t\tvar titles = this.wiki.getRelinkableTitles();\n\t\tfor (var i = 0; i < titles.length; i++) {\n\t\t\tthis._populate(titles[i]);\n\t\t};\n\t} else if (this.changedTiddlers) {\n\t\t// If there are cached changes, we apply them now.\n\t\tfor (title in this.contexts) {\n\t\t\tvar tiddlerContext = this.contexts[title];\n\t\t\tif (tiddlerContext.changed(this.changedTiddlers)) {\n\t\t\t\tthis._purge(title);\n\t\t\t\tthis._populate(title);\n\t\t\t\tthis._dropResults(title);\n\t\t\t\t// Wipe this change, so we don't risk updating it twice.\n\t\t\t\tthis.changedTiddlers[title] = undefined;\n\t\t\t}\n\t\t}\n\t\tfor (title in this.changedTiddlers) {\n\t\t\tvar change = this.changedTiddlers[title];\n\t\t\tif (change && change.modified) {\n\t\t\t\tthis._purge(title);\n\t\t\t\tthis._populate(title);\n\t\t\t\tthis._dropResults(title);\n\t\t\t}\n\t\t}\n\t\tthis.changedTiddlers = undefined;\n\t}\n};\n\nIndexer.prototype._purge = function(title) {\n\tfor (var entry in this.index[title]) {\n\t\tdelete this.backIndex[entry][title];\n\t}\n\tdelete this.contexts[title];\n\tdelete this.index[title];\n};\n\n// This drops the cached relink results if unsanctioned tiddlers were changed\nIndexer.prototype._dropResults = function(title) {\n\tvar tiddler = this.wiki.getTiddler(title);\n\tif (title !== this.lastRelinkFrom\n\t&& title !== this.lastRelinkTo\n\t&& (!tiddler\n\t\t|| !$tw.utils.hop(tiddler.fields, 'draft.of') // is a draft\n\t\t|| tiddler.fields['draft.of'] !== this.lastRelinkFrom // draft of target\n\t\t|| references(this.index[title], this.lastRelinkFrom))) { // draft references target\n\t\t// This is not the draft of the last relinked title,\n\t\t// so our cached results should be wiped.\n\t\tthis.lastRelinkFrom = undefined;\n\t}\n};\n\nfunction references(list, item) {\n\treturn list !== undefined && list[item];\n};\n\nIndexer.prototype._populate = function(title) {\n\t// Fetch the report for a title, and populate the indexes with result\n\tvar tiddlerContext = new TiddlerContext(this.wiki, this.context, title);\n\tvar references = utils.getTiddlerRelinkReferences(this.wiki, title, tiddlerContext);\n\tthis.index[title] = references;\n\tif (tiddlerContext.hasImports()) {\n\t\tthis.contexts[title] = tiddlerContext;\n\t}\n\tfor (var ref in references) {\n\t\tthis.backIndex[ref] = this.backIndex[ref] || Object.create(null);\n\t\tthis.backIndex[ref][title] = references[ref];\n\t}\n};\n\nexports.RelinkIndexer = Indexer;\n",
            "module-type": "indexer",
            "title": "$:/plugins/flibbles/relink/js/indexer.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/language.js": {
            "text": "/*\\\nmodule-type: library\n\nThis handles all logging and alerts Relink emits.\n\n\\*/\n\nexports.getString = function(title, options) {\n\ttitle = \"$:/plugins/flibbles/relink/language/\" + title;\n\treturn options.wiki.renderTiddler(\"text/plain\", title, options);\n};\n\nvar logger;\n\nexports.reportFailures = function(failureList, options) {\n\tif (!logger) {\n\t\tlogger = new $tw.utils.Logger(\"Relinker\");\n\t}\n\tvar alertString = this.getString(\"Error/ReportFailedRelinks\", options)\n\tvar alreadyReported = Object.create(null);\n\tvar reportList = [];\n\t$tw.utils.each(failureList, function(f) {\n\t\tif (!alreadyReported[f]) {\n\t\t\tif ($tw.browser) {\n\t\t\t\t// This might not make the link if the title is complicated.\n\t\t\t\t// Whatever.\n\t\t\t\treportList.push(\"\\n* [[\" + f + \"]]\");\n\t\t\t} else {\n\t\t\t\treportList.push(\"\\n* \" + f);\n\t\t\t}\n\t\t\talreadyReported[f] = true;\n\t\t}\n\t});\n\tlogger.alert(alertString + \"\\n\" + reportList.join(\"\"));\n};\n",
            "module-type": "library",
            "title": "$:/plugins/flibbles/relink/js/language.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/mangler.js": {
            "text": "/*\\\nmodule-type: widget\n\nCreates a mangler widget for field validation. This isn't meant to be used\nby the user. It's only used in Relink configuration.\n\n\\*/\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\nvar language = require('$:/plugins/flibbles/relink/js/language.js');\nvar utils = require('$:/plugins/flibbles/relink/js/utils.js');\n\nvar RelinkManglerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"relink-add-field\", handler: \"handleAddFieldEvent\"},\n\t\t{type: \"relink-add-operator\", handler: \"handleAddOperatorEvent\"},\n\t\t{type: \"relink-add-parameter\", handler: \"handleAddParameterEvent\"},\n\t\t{type: \"relink-add-attribute\", handler: \"handleAddAttributeEvent\"}\n\t]);\n};\n\nexports.relinkmangler = RelinkManglerWidget;\n\nRelinkManglerWidget.prototype = new Widget();\n\n// This wraps alert so it can be monkeypatched during testing.\nRelinkManglerWidget.prototype.alert = function(message) {\n\talert(message);\n};\n\nRelinkManglerWidget.prototype.handleAddFieldEvent = function(event) {\n\tvar param = event.paramObject;\n\tif (typeof param !== \"object\" || !param.field) {\n\t\t// Can't handle it.\n\t\treturn true;\n\t}\n\tvar trimmedName = param.field.toLowerCase().trim();\n\tif (!trimmedName) {\n\t\t// Still can't handle it, but don't warn.\n\t\treturn true;\n\t}\n\tif(!$tw.utils.isValidFieldName(trimmedName)) {\n\t\tthis.alert($tw.language.getString(\n\t\t\t\"InvalidFieldName\",\n\t\t\t{variables:\n\t\t\t\t{fieldName: trimmedName}\n\t\t\t}\n\t\t));\n\t} else {\n\t\tadd(this.wiki, \"fields\", trimmedName);\n\t}\n\treturn true;\n};\n\n/**Not much validation, even though there are definitely illegal\n * operator names. If you input on, Relink won't relink it, but it\n * won't choke on it either. Tiddlywiki will...\n */\nRelinkManglerWidget.prototype.handleAddOperatorEvent = function(event) {\n\tvar param = event.paramObject;\n\tif (param) {\n\t\tadd(this.wiki, \"operators\", param.operator);\n\t}\n\treturn true;\n};\n\nRelinkManglerWidget.prototype.handleAddParameterEvent = function(event) {\n\tvar param = event.paramObject;\n\tif (param && param.macro && param.parameter) {\n\t\tif (/\\s/.test(param.macro.trim())) {\n\t\t\tthis.alert(language.getString(\n\t\t\t\t\"Error/InvalidMacroName\",\n\t\t\t\t{ variables: {macroName: param.macro},\n\t\t\t\t  wiki: this.wiki\n\t\t\t\t}\n\t\t\t));\n\t\t} else if (/[ \\/]/.test(param.parameter.trim())) {\n\t\t\tthis.alert(language.getString(\n\t\t\t\t\"Error/InvalidParameterName\",\n\t\t\t\t{ variables: {parameterName: param.parameter},\n\t\t\t\t  wiki: this.wiki\n\t\t\t\t}\n\t\t\t));\n\t\t} else {\n\t\t\tadd(this.wiki, \"macros\", param.macro, param.parameter);\n\t\t}\n\t}\n\treturn true;\n};\n\nRelinkManglerWidget.prototype.handleAddAttributeEvent = function(event) {\n\tvar param = event.paramObject;\n\tif (param && param.element && param.attribute) {\n\t\tif (/[ \\/]/.test(param.element.trim())) {\n\t\t\tthis.alert(language.getString(\n\t\t\t\t\"Error/InvalidElementName\",\n\t\t\t\t{ variables: {elementName: param.element},\n\t\t\t\t  wiki: this.wiki\n\t\t\t\t}\n\t\t\t));\n\t\t} else if (/[ \\/]/.test(param.attribute.trim())) {\n\t\t\tthis.alert(language.getString(\n\t\t\t\t\"Error/InvalidAttributeName\",\n\t\t\t\t{ variables: {attributeName: param.attribute},\n\t\t\t\t  wiki: this.wiki\n\t\t\t\t}\n\t\t\t));\n\t\t} else {\n\t\t\tadd(this.wiki, \"attributes\", param.element, param.attribute);\n\t\t}\n\t}\n\treturn true;\n};\n\nfunction add(wiki, category/*, path parts*/) {\n\tvar path = \"$:/config/flibbles/relink/\" + category;\n\tfor (var x = 2; x < arguments.length; x++) {\n\t\tvar part = arguments[x];\n\t\t// Abort if it's falsy, or only whitespace. Also, trim spaces\n\t\tif (!part || !(part = part.trim())) {\n\t\t\treturn;\n\t\t}\n\t\tpath = path + \"/\" + part;\n\t}\n\tvar def = utils.getDefaultType(wiki);\n\twiki.addTiddler({title: path, text: def});\n};\n",
            "module-type": "widget",
            "title": "$:/plugins/flibbles/relink/js/mangler.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/settings.js": {
            "text": "/*\\\nmodule-type: library\n\nThis handles the fetching and distribution of relink settings.\n\n\\*/\n\nvar utils = require('./utils');\n\n///// Legacy. You used to be able to access the type from utils.\nexports.getType = utils.getType;\n/////\n",
            "module-type": "library",
            "title": "$:/plugins/flibbles/relink/js/settings.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/utils.js": {
            "text": "/*\\\nmodule-type: library\n\nUtility methods for relink.\n\n// TODO: The lists of plugins should neither be relinked nor reported.\n\\*/\n\nvar macroFilter =  \"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\";\n\n/**This works nearly identically to $tw.modules.getModulesByTypeAsHashmap\n * except that this also takes care of migrating V1 relink modules.\n */\nexports.getModulesByTypeAsHashmap = function(moduleType, nameField) {\n\tvar results = Object.create(null);\n\t$tw.modules.forEachModuleOfType(moduleType, function(title, module) {\n\t\tvar key = module[nameField];\n\t\tif (key !== undefined) {\n\t\t\tresults[key] = module;\n\t\t} else {\n\t\t\tfor (var entry in module) {\n\t\t\t\tresults[entry] = {\n\t\t\t\t\trelink: module[entry],\n\t\t\t\t\treport: function() {}};\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\nexports.getTiddlerRelinkReferences = function(wiki, title, context) {\n\tvar tiddler = wiki.getTiddler(title),\n\t\treferences = Object.create(null),\n\t\toptions = {settings: context, wiki: wiki};\n\tif (tiddler) {\n\t\ttry {\n\t\t\tfor (var relinker in getRelinkOperators()) {\n\t\t\t\tgetRelinkOperators()[relinker].report(tiddler, function(title, blurb) {\n\t\t\t\t\treferences[title] = references[title] || [];\n\t\t\t\t\treferences[title].push(blurb);\n\t\t\t\t}, options);\n\t\t\t}\n\t\t} catch (e) {\n\t\t\tif (e.message) {\n\t\t\t\te.message = e.message + \"\\nWhen reporting '\" + title + \"' Relink references\";\n\t\t\t}\n\t\t\tthrow e;\n\t\t}\n\t}\n\treturn references;\n};\n\n/** Returns a pair like this,\n *  { title: {field: entry, ... }, ... }\n */\nexports.getRelinkResults = function(wiki, fromTitle, toTitle, context, tiddlerList, options) {\n\toptions = options || {};\n\toptions.wiki = options.wiki || wiki;\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\tvar changeList = Object.create(null);\n\tif(fromTitle && toTitle) {\n\t\tif (tiddlerList === undefined) {\n\t\t\ttiddlerList = wiki.getRelinkableTitles();\n\t\t}\n\t\tfor (var i = 0; i < tiddlerList.length; i++) {\n\t\t\tvar title = tiddlerList[i];\n\t\t\tvar tiddler = wiki.getTiddler(title);\n\t\t\tif(tiddler && !tiddler.fields[\"plugin-type\"]) {\n\t\t\t\ttry {\n\t\t\t\t\tvar entries = Object.create(null),\n\t\t\t\t\t\toperators = getRelinkOperators();\n\t\t\t\t\toptions.settings = new Contexts.tiddler(wiki, context, title);\n\t\t\t\t\tfor (var operation in operators) {\n\t\t\t\t\t\toperators[operation].relink(tiddler, fromTitle, toTitle, entries, options);\n\t\t\t\t\t}\n\t\t\t\t\tfor (var field in entries) {\n\t\t\t\t\t\t// So long as there is one key,\n\t\t\t\t\t\t// add it to the change list.\n\t\t\t\t\t\tchangeList[title] = entries;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\t}\n\t\t\t\t} catch (e) {\n\t\t\t\t\t// Should we test for instanceof Error instead?: yes\n\t\t\t\t\t// Does that work in the testing environment?: no\n\t\t\t\t\tif (e.message) {\n\t\t\t\t\t\te.message = e.message + \"\\nWhen relinking '\" + title + \"'\";\n\t\t\t\t\t}\n\t\t\t\t\tthrow e;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treturn changeList;\n};\n\nvar Contexts = $tw.modules.applyMethods('relinkcontext');\n\nexports.getContext = function(name) {\n\treturn Contexts[name];\n};\n\nexports.getWikiContext = function(wiki) {\n\t// This gives a fresh context every time. It is up to the indexer or\n\t// the cache to preserve those contexts for as long as needed.\n\tvar whitelist = new Contexts.whitelist(wiki);\n\treturn new Contexts.import(wiki, whitelist, macroFilter);\n};\n\n/** Returns the Relink indexer, or a dummy object which pretends to be one.\n */\nexports.getIndexer = function(wiki) {\n\tif (!wiki._relink_indexer) {\n\t\twiki._relink_indexer = (wiki.getIndexer && wiki.getIndexer(\"RelinkIndexer\")) || new (require('$:/plugins/flibbles/relink/js/utils/backupIndexer.js'))(wiki);\n\t}\n\treturn wiki._relink_indexer;\n};\n\n/**Relinking supports a cache that persists throughout a whole relink op.\n * This is because the Tiddlywiki caches may get wiped multiple times\n * throughout the course of a relink.\n */\nexports.getCacheForRun = function(options, cacheName, initializer) {\n\toptions.cache = options.cache || Object.create(null);\n\tif (!$tw.utils.hop(options.cache, cacheName)) {\n\t\toptions.cache[cacheName] = initializer();\n\t}\n\treturn options.cache[cacheName];\n};\n\n/**Returns a specific relinker.\n * This is useful for wikitext rules which need to parse a filter or a list\n */\nexports.getType = function(name) {\n\tvar Handler = getFieldTypes()[name];\n\treturn Handler ? new Handler() : undefined;\n};\n\nexports.getTypes = function() {\n\t// We don't return fieldTypes, because we don't want it modified,\n\t// and we need to filter out legacy names.\n\tvar rtn = Object.create(null);\n\tfor (var type in getFieldTypes()) {\n\t\tvar typeObject = getFieldTypes()[type];\n\t\trtn[typeObject.typeName] = typeObject;\n\t}\n\treturn rtn;\n};\n\nexports.getDefaultType = function(wiki) {\n\tvar tiddler = wiki.getTiddler(\"$:/config/flibbles/relink/settings/default-type\");\n\tvar defaultType = tiddler && tiddler.fields.text;\n\t// make sure the default actually exists, otherwise default\n\treturn fieldTypes[defaultType] ? defaultType : \"title\";\n};\n\nvar fieldTypes;\n\nfunction getFieldTypes() {\n\tif (!fieldTypes) {\n\t\tfieldTypes = Object.create(null);\n\t\t$tw.modules.forEachModuleOfType(\"relinkfieldtype\", function(title, exports) {\n\t\t\tfunction NewType() {};\n\t\t\tNewType.prototype = exports;\n\t\t\tNewType.typeName = exports.name;\n\t\t\tfieldTypes[exports.name] = NewType;\n\t\t\t// For legacy, if the NewType doesn't have a report method, we add one\n\t\t\tif (!exports.report) {\n\t\t\t\texports.report = function() {};\n\t\t\t}\n\t\t\t// Also for legacy, some of the field types can go by other names\n\t\t\tif (exports.aliases) {\n\t\t\t\t$tw.utils.each(exports.aliases, function(alias) {\n\t\t\t\t\tfieldTypes[alias] = NewType;\n\t\t\t\t});\n\t\t\t}\n\t\t});\n\t}\n\treturn fieldTypes;\n}\n\nvar relinkOperators;\n\nfunction getRelinkOperators() {\n\tif (!relinkOperators) {\n\t\trelinkOperators = exports.getModulesByTypeAsHashmap('relinkoperator', 'name');\n\t}\n\treturn relinkOperators;\n};\n",
            "module-type": "library",
            "title": "$:/plugins/flibbles/relink/js/utils.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/wikimethods.js": {
            "text": "/*\\\nmodule-type: wikimethod\n\nIntroduces some utility methods used by Relink.\n\n\\*/\n\nvar utils = require(\"./utils.js\");\n\nexports.getTiddlerRelinkReferences = function(title) {\n\treturn utils.getIndexer(this).lookup(title);\n};\n\nexports.getTiddlerRelinkBackreferences = function(title) {\n\treturn utils.getIndexer(this).reverseLookup(title);\n};\n\nexports.getRelinkableTitles = function() {\n\tvar toUpdate = \"$:/config/flibbles/relink/to-update\";\n\tvar wiki = this;\n\treturn this.getCacheForTiddler(toUpdate, \"relink-toUpdate\", function() {\n\t\tvar tiddler = wiki.getTiddler(toUpdate);\n\t\tif (tiddler) {\n\t\t\treturn wiki.compileFilter(tiddler.fields.text);\n\t\t} else {\n\t\t\treturn wiki.allTitles;\n\t\t}\n\t})();\n};\n",
            "module-type": "wikimethod",
            "title": "$:/plugins/flibbles/relink/js/wikimethods.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/filteroperators/all_relinkable.js": {
            "text": "/*\\\nmodule-type: allfilteroperator\n\nFilter function for [all[relinkable]].\nReturns all tiddlers subject to relinking.\n\n\\*/\n\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.relinkable = function(source,prefix,options) {\n\treturn options.wiki.getRelinkableTitles();\n};\n\n})();\n",
            "module-type": "allfilteroperator",
            "title": "$:/plugins/flibbles/relink/js/filteroperators/all_relinkable.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/filteroperators/references.js": {
            "text": "/*\\\nmodule-type: relinkfilteroperator\n\nGiven a title as an operand, returns all non-shadow tiddlers that have any\nsort of updatable reference to it.\n\n`relink:backreferences[]]`\n`relink:references[]]`\n\nReturns all tiddlers that reference `fromTiddler` somewhere inside them.\n\nInput is ignored. Maybe it shouldn't do this.\n\\*/\n\nvar LinkedList = $tw.utils.LinkedList;\n\nif (!LinkedList) {\n\t/* If the linked list isn't available, make a quick crappy version. */\n\tLinkedList = function() {this.array=[];};\n\n\tLinkedList.prototype.pushTop = function(array) {\n\t\t$tw.utils.pushTop(this.array, array);\n\t};\n\n\tLinkedList.prototype.toArray = function() {\n\t\treturn this.array;\n\t};\n};\n\nexports.backreferences = function(source,operator,options) {\n\tvar results = new LinkedList();\n\tsource(function(tiddler,title) {\n\t\tresults.pushTop(Object.keys(options.wiki.getTiddlerRelinkBackreferences(title,options)));\n\t});\n\treturn results.toArray();\n};\n\nexports.references = function(source,operator,options) {\n\tvar results = new LinkedList();\n\tsource(function(tiddler,title) {\n\t\tvar refs = options.wiki.getTiddlerRelinkReferences(title,options);\n\t\tif (refs) {\n\t\t\tresults.pushTop(Object.keys(refs));\n\t\t}\n\t});\n\treturn results.toArray();\n};\n",
            "module-type": "relinkfilteroperator",
            "title": "$:/plugins/flibbles/relink/js/filteroperators/references.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/filteroperators/relink.js": {
            "text": "/*\\\nmodule-type: filteroperator\n\nThis filter acts as a namespace for several small, simple filters, such as\n\n`[relink:impossible[]]`\n\n\\*/\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar language = require('$:/plugins/flibbles/relink/js/language.js');\n\nvar relinkFilterOperators;\n\nfunction getRelinkFilterOperators() {\n\tif(!relinkFilterOperators) {\n\t\trelinkFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"relinkfilteroperator\",\n\t\t                         relinkFilterOperators);\n\t}\n\treturn relinkFilterOperators;\n}\n\nexports.relink = function(source,operator,options) {\n\tvar suffixPair = parseSuffix(operator.suffix);\n\tvar relinkFilterOperator = getRelinkFilterOperators()[suffixPair[0]];\n\tif (relinkFilterOperator) {\n\t\tvar newOperator = $tw.utils.extend({}, operator);\n\t\tnewOperator.suffix = suffixPair[1];\n\t\treturn relinkFilterOperator(source, newOperator, options);\n\t} else {\n\t\treturn [language.getString(\"Error/RelinkFilterOperator\", options)];\n\t}\n};\n\nfunction parseSuffix(suffix) {\n\tvar index = suffix? suffix.indexOf(\":\"): -1;\n\tif (index >= 0) {\n\t\treturn [suffix.substr(0, index), suffix.substr(index+1)];\n\t} else {\n\t\treturn [suffix];\n\t}\n}\n",
            "module-type": "filteroperator",
            "title": "$:/plugins/flibbles/relink/js/filteroperators/relink.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/filteroperators/report.js": {
            "text": "/*\\\nmodule-type: relinkfilteroperator\n\nGiven a title as an operand, returns a string for each occurrence of that title\nwithin each input title.\n\n[[title]] +[relink:report[fromTiddler]]`\n\nReturns string representation of fromTiddler occurrences in title.\n\\*/\n\nexports.report = function(source,operator,options) {\n\tvar fromTitle = operator.operand,\n\t\tresults = [];\n\tif (fromTitle) {\n\t\tvar blurbs = options.wiki.getTiddlerRelinkBackreferences(fromTitle);\n\t\tsource(function(tiddler, title) {\n\t\t\tif (blurbs[title]) {\n\t\t\t\tresults = results.concat(blurbs[title]);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n",
            "module-type": "relinkfilteroperator",
            "title": "$:/plugins/flibbles/relink/js/filteroperators/report.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/filteroperators/signatures.js": {
            "text": "/*\\\nmodule-type: relinkfilteroperator\n\nThis filter returns all input tiddlers which are a source of\nrelink configuration.\n\n`[all[tiddlers+system]relink:source[macros]]`\n\n\\*/\n\nvar utils = require('$:/plugins/flibbles/relink/js/utils.js');\n\nexports.signatures = function(source,operator,options) {\n\tvar plugin = operator.operand || null;\n\tvar set = getSet(options);\n\tif (plugin === \"$:/core\") {\n\t\t// Core doesn't actually have any settings. We mean Relink\n\t\tplugin = \"$:/plugins/flibbles/relink\";\n\t}\n\tvar signatures = [];\n\tfor (var signature in set) {\n\t\tvar source = set[signature].source;\n\t\tif (options.wiki.getShadowSource(source) === plugin) {\n\t\t\tsignatures.push(signature);\n\t\t}\n\t}\n\treturn signatures;\n};\n\nexports.type = function(source,operator,options) {\n\tvar results = [];\n\tvar set = getSet(options);\n\tsource(function(tiddler, signature) {\n\t\tif (set[signature]) {\n\t\t\tresults.push(set[signature].name);\n\t\t}\n\t});\n\treturn results;\n};\n\nexports.types = function(source,operator,options) {\n\tvar def = utils.getDefaultType(options.wiki);\n\tvar types = Object.keys(utils.getTypes());\n\ttypes.sort();\n\t// move default to front\n\ttypes.sort(function(x,y) { return x === def ? -1 : y === def ? 1 : 0; });\n\treturn types;\n};\n\nexports.source = function(source,operator,options) {\n\tvar results = [];\n\tvar category = operator.suffix;\n\tvar set = getSet(options);\n\tsource(function(tiddler, signature) {\n\t\tif (set[signature]) {\n\t\t\tresults.push(set[signature].source);\n\t\t}\n\t});\n\treturn results;\n};\n\nfunction getSet(options) {\n\treturn options.wiki.getGlobalCache(\"relink-signatures\", function() {\n\t\tvar config = utils.getWikiContext(options.wiki);\n\t\tvar set = Object.create(null);\n\t\tvar categories = {\n\t\t\tattributes: config.getAttributes(),\n\t\t\tfields: config.getFields(),\n\t\t\tmacros: config.getMacros(),\n\t\t\toperators: config.getOperators()};\n\t\t$tw.utils.each(categories, function(list, category) {\n\t\t\t$tw.utils.each(list, function(item, key) {\n\t\t\t\tset[category + \"/\" + key] = item;\n\t\t\t});\n\t\t});\n\t\treturn set;\n\t});\n};\n",
            "module-type": "relinkfilteroperator",
            "title": "$:/plugins/flibbles/relink/js/filteroperators/signatures.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/filteroperators/splitafter.js": {
            "text": "/*\\\ntitle: $:/core/modules/filters/splitbefore.js\ntype: application/javascript\nmodule-type: relinkfilteroperator\n\nFilter operator that splits each result on the last occurance of the specified separator and returns the last bit.\n\nWhat does this have to do with relink? Nothing. I need this so I can render\nthe configuration menu. I //could// use [splitregexp[]], but then I'd be\nlimited to Tiddlywiki v5.1.20 or later.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.splitafter = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar index = title.lastIndexOf(operator.operand);\n\t\tif(index < 0) {\n\t\t\t$tw.utils.pushTop(results,title);\n\t\t} else {\n\t\t\t$tw.utils.pushTop(results,title.substr(index+1));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n\n",
            "title": "$:/plugins/flibbles/relink/js/filteroperators/splitafter.js",
            "type": "application/javascript",
            "module-type": "relinkfilteroperator"
        },
        "$:/plugins/flibbles/relink/js/filteroperators/wouldchange.js": {
            "text": "/*\\\nmodule-type: relinkfilteroperator\n\nwouldchange: Generator.\n\nGiven each input title, it returns all the tiddlers that would be changed if the currentTiddler were to be renamed to the operand.\n\nimpossible: filters all source titles for ones that encounter errors on failure.\n\nTHESE ARE INTERNAL FILTER OPERATOR AND ARE NOT INTENDED TO BE USED BY USERS.\n\n\\*/\n\nvar language = require(\"$:/plugins/flibbles/relink/js/language.js\");\nvar utils = require(\"$:/plugins/flibbles/relink/js/utils.js\");\n\nexports.wouldchange = function(source,operator,options) {\n\tvar from = options.widget && options.widget.getVariable(\"currentTiddler\"),\n\t\tto = operator.operand,\n\t\tindexer = utils.getIndexer(options.wiki),\n\t\trecords = indexer.relinkLookup(from, to, options);\n\treturn Object.keys(records);\n};\n\nexports.impossible = function(source,operator,options) {\n\tvar from = options.widget && options.widget.getVariable(\"currentTiddler\"),\n\t\tto = operator.operand,\n\t\tresults = [],\n\t\tindexer = utils.getIndexer(options.wiki),\n\t\trecords = indexer.relinkLookup(from, to, options);\n\tsource(function(tiddler, title) {\n\t\tvar fields = records[title];\n\t\tif (fields) {\n\t\t\tfor (var field in fields) {\n\t\t\t\tif (fields[field].impossible) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n",
            "module-type": "relinkfilteroperator",
            "title": "$:/plugins/flibbles/relink/js/filteroperators/wouldchange.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/fieldtypes/filter.js": {
            "text": "/*\\\nThis specifies logic for updating filters to reflect title changes.\n\\*/\n\nvar refHandler = require(\"$:/plugins/flibbles/relink/js/fieldtypes/reference\");\nvar Rebuilder = require(\"$:/plugins/flibbles/relink/js/utils/rebuilder\");\n\nexports.name = \"filter\";\n\nexports.report = function(filter, callback, options) {\n\t// I cheat here for now. Relink handles reporting too in cases where\n\t// fromTitle is undefined. toTitle is the callback in those cases.\n\texports.relink(filter, undefined, callback, options);\n};\n\n/**Returns undefined if no change was made.\n */\nexports.relink = function(filter, fromTitle, toTitle, options) {\n\tvar relinker = new Rebuilder(filter),\n\t\tp = 0, // Current position in the filter string\n\t\tmatch, noPrecedingWordBarrier,\n\t\twordBarrierRequired=false;\n\tvar whitespaceRegExp = /\\s+/mg,\n\t\toperandRegExp = /((?:\\+|\\-|~|=|\\:\\w+)?)(?:(\\[)|(?:\"([^\"]*)\")|(?:'([^']*)')|([^\\s\\[\\]]+))/mg,\n\t\tblurbs = [];\n\twhile(p < filter.length) {\n\t\t// Skip any whitespace\n\t\twhitespaceRegExp.lastIndex = p;\n\t\tmatch = whitespaceRegExp.exec(filter);\n\t\tnoPrecedingWordBarrier = false;\n\t\tif(match && match.index === p) {\n\t\t\tp = p + match[0].length;\n\t\t} else if (p != 0) {\n\t\t\tif (wordBarrierRequired) {\n\t\t\t\trelinker.add(' ', p, p);\n\t\t\t\twordBarrierRequired = false;\n\t\t\t} else {\n\t\t\t\tnoPrecedingWordBarrier = true;\n\t\t\t}\n\t\t}\n\t\t// Match the start of the operation\n\t\tif(p < filter.length) {\n\t\t\tvar val;\n\t\t\toperandRegExp.lastIndex = p;\n\t\t\tmatch = operandRegExp.exec(filter);\n\t\t\tif(!match || match.index !== p) {\n\t\t\t\t// It's a bad filter\n\t\t\t\treturn undefined;\n\t\t\t}\n\t\t\tif(match[1]) { // prefix\n\t\t\t\tp += match[1].length;\n\t\t\t}\n\t\t\tif(match[2]) { // Opening square bracket\n\t\t\t\t// We check if this is a standalone title,\n\t\t\t\t// like `[[MyTitle]]`. We treat those like\n\t\t\t\t// `\"MyTitle\"` or `MyTitle`. Not like a run.\n\t\t\t\tvar standaloneTitle = /\\[\\[([^\\]]+)\\]\\]/g;\n\t\t\t\tstandaloneTitle.lastIndex = p;\n\t\t\t\tvar alone = standaloneTitle.exec(filter);\n\t\t\t\tif (!alone || alone.index != p) {\n\t\t\t\t\tif (fromTitle === undefined) {\n\t\t\t\t\t\t// toTitle is a callback method in this case.\n\t\t\t\t\t\tp =reportFilterOperation(filter, function(title, blurb){\n\t\t\t\t\t\t\tif (match[1]) {\n\t\t\t\t\t\t\t\tblurbs.push([title, match[1] + (blurb || '')]);\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tblurbs.push([title, blurb]);\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t},p,options.settings,options);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tp =relinkFilterOperation(relinker,fromTitle,toTitle,filter,p,options.settings,options);\n\t\t\t\t\t}\n\t\t\t\t\t// It's a legit run\n\t\t\t\t\tif (p === undefined) {\n\t\t\t\t\t\t// The filter is malformed\n\t\t\t\t\t\t// We do nothing.\n\t\t\t\t\t\treturn undefined;\n\t\t\t\t\t}\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\t\t\t\tbracketTitle = alone[1];\n\t\t\t\toperandRegExp.lastIndex = standaloneTitle.lastIndex;\n\t\t\t\tval = alone[1];\n\t\t\t} else {\n\t\t\t\t// standalone Double quoted string, single\n\t\t\t\t// quoted string, or noquote ahead.\n\t\t\t\tval = match[3] || match[4] || match[5];\n\t\t\t}\n\t\t\t// From here on, we're dealing with a standalone title\n\t\t\t// expression. like `\"MyTitle\"` or `[[MyTitle]]`\n\t\t\t// We're much more flexible about relinking these.\n\t\t\tvar preference = undefined;\n\t\t\tif (match[3]) {\n\t\t\t\tpreference = '\"';\n\t\t\t} else if (match[4]) {\n\t\t\t\tpreference = \"'\";\n\t\t\t} else if (match[5]) {\n\t\t\t\tpreference = '';\n\t\t\t}\n\t\t\tif (fromTitle === undefined) {\n\t\t\t\t// Report it\n\t\t\t\tblurbs.push([val, match[1]]);\n\t\t\t} else if (val === fromTitle) {\n\t\t\t\t// Relink it\n\t\t\t\tvar entry = {name: \"title\"};\n\t\t\t\tvar newVal = wrapTitle(toTitle, preference);\n\t\t\t\tif (newVal === undefined || (options.inBraces && newVal.indexOf('}}}') >= 0)) {\n\t\t\t\t\tif (!options.placeholder) {\n\t\t\t\t\t\trelinker.impossible = true;\n\t\t\t\t\t\tp = operandRegExp.lastIndex;\n\t\t\t\t\t\tcontinue;\n\t\t\t\t\t}\n\n\t\t\t\t\tnewVal = \"[<\"+options.placeholder.getPlaceholderFor(toTitle)+\">]\";\n\t\t\t\t}\n\t\t\t\tif (newVal[0] != '[') {\n\t\t\t\t\t// not bracket enclosed\n\t\t\t\t\t// this requires whitespace\n\t\t\t\t\t// arnound it\n\t\t\t\t\tif (noPrecedingWordBarrier && !match[1]) {\n\t\t\t\t\t\trelinker.add(' ', p, p);\n\t\t\t\t\t}\n\t\t\t\t\twordBarrierRequired = true;\n\t\t\t\t}\n\t\t\t\tentry.output = toTitle;\n\t\t\t\tentry.operator = {operator: \"title\"};\n\t\t\t\tentry.quotation = preference;\n\t\t\t\tif (entry.impossible) {\n\t\t\t\t\trelinker.impossible = true;\n\t\t\t\t}\n\t\t\t\trelinker.add(newVal,p,operandRegExp.lastIndex);\n\t\t\t}\n\t\t\tp = operandRegExp.lastIndex;\n\t\t}\n\t}\n\tif (fromTitle === undefined) {\n\t\t// We delay the blurb calls until now in case it's a malformed\n\t\t// filter string. We don't want to report some, only to find out\n\t\t// it's bad.\n\t\tfor (var i = 0; i < blurbs.length; i++) {\n\t\t\ttoTitle(blurbs[i][0], blurbs[i][1]);\n\t\t}\n\t}\n\tif (relinker.changed() || relinker.impossible) {\n\t\treturn {output: relinker.results(), impossible: relinker.impossible };\n\t}\n\treturn undefined;\n};\n\n/* Same as this.relink, except this has the added constraint that the return\n * value must be able to be wrapped in curly braces. (i.e. '{{{...}}}')\n */\nexports.relinkInBraces = function(filter, fromTitle, toTitle, options) {\n\tvar braceOptions = $tw.utils.extend({inBraces: true}, options);\n\tvar entry = this.relink(filter, fromTitle, toTitle, braceOptions);\n\tif (entry && entry.output && !canBeInBraces(entry.output)) {\n\t\t// It was possible, but it won't fit in braces, so we must give up\n\t\tdelete entry.output;\n\t\tentry.impossible = true;\n\t}\n\treturn entry;\n};\n\nfunction wrapTitle(value, preference) {\n\tvar choices = {\n\t\t\"\": function(v) {return /^[^\\s\\[\\]]*[^\\s\\[\\]\\}]$/.test(v); },\n\t\t\"[\": canBePrettyOperand,\n\t\t\"'\": function(v) {return v.indexOf(\"'\") < 0; },\n\t\t'\"': function(v) {return v.indexOf('\"') < 0; }\n\t};\n\tvar wrappers = {\n\t\t\"\": function(v) {return v; },\n\t\t\"[\": function(v) {return \"[[\"+v+\"]]\"; },\n\t\t\"'\": function(v) {return \"'\"+v+\"'\"; },\n\t\t'\"': function(v) {return '\"'+v+'\"'; }\n\t};\n\tif (choices[preference]) {\n\t\tif (choices[preference](value)) {\n\t\t\treturn wrappers[preference](value);\n\t\t}\n\t}\n\tfor (var quote in choices) {\n\t\tif (choices[quote](value)) {\n\t\t\treturn wrappers[quote](value);\n\t\t}\n\t}\n\t// No quotes will work on this\n\treturn undefined;\n}\n\nfunction relinkFilterOperation(relinker, fromTitle, toTitle, filterString, p, context, options) {\n\tvar nextBracketPos, operator;\n\t// Skip the starting square bracket\n\tif(filterString.charAt(p++) !== \"[\") {\n\t\t// Missing [ in filter expression\n\t\treturn undefined;\n\t}\n\t// Process each operator in turn\n\toperator = parseOperator(filterString, p);\n\tdo {\n\t\tvar entry = undefined, type;\n\t\tif (operator === undefined) {\n\t\t\treturn undefined;\n\t\t}\n\t\tp = operator.opStart;\n\t\tswitch (operator.bracket) {\n\t\t\tcase \"{\": // Curly brackets\n\t\t\t\ttype = \"indirect\";\n\t\t\t\tnextBracketPos = filterString.indexOf(\"}\",p);\n\t\t\t\tvar operand = filterString.substring(p,nextBracketPos);\n\t\t\t\t// We've got a live reference. relink or report\n\t\t\t\tentry = refHandler.relinkInBraces(operand, fromTitle, toTitle, options);\n\t\t\t\tif (entry && entry.output) {\n\t\t\t\t\t// We don't check the context.\n\t\t\t\t\t// All indirect operands convert.\n\t\t\t\t\trelinker.add(entry.output,p,nextBracketPos);\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t\tcase \"[\": // Square brackets\n\t\t\t\ttype = \"string\";\n\t\t\t\tnextBracketPos = filterString.indexOf(\"]\",p);\n\t\t\t\tvar operand = filterString.substring(p,nextBracketPos);\n\t\t\t\t// Check if this is a relevant operator\n\t\t\t\tvar handler = fieldType(context, operator);\n\t\t\t\tif (!handler) {\n\t\t\t\t\t// This operator isn't managed. Bye.\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tentry = handler.relink(operand, fromTitle, toTitle, options);\n\t\t\t\tif (!entry || !entry.output) {\n\t\t\t\t\t// The fromTitle wasn't in the operand.\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tvar wrapped;\n\t\t\t\tif (!canBePrettyOperand(entry.output) || (options.inBraces && entry.output.indexOf('}}}') >= 0)) {\n\t\t\t\t\tif (!options.placeholder) {\n\t\t\t\t\t\tdelete entry.output;\n\t\t\t\t\t\tentry.impossible = true;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\t}\n\t\t\t\t\tvar ph = options.placeholder.getPlaceholderFor(entry.output, handler.name);\n\t\t\t\t\twrapped = \"<\"+ph+\">\";\n\t\t\t\t} else {\n\t\t\t\t\twrapped = \"[\"+entry.output+\"]\";\n\t\t\t\t}\n\t\t\t\trelinker.add(wrapped, p-1, nextBracketPos+1);\n\t\t\t\tbreak;\n\t\t\tcase \"<\": // Angle brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\">\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"/\": // regexp brackets\n\t\t\t\tvar rex = /^((?:[^\\\\\\/]*|\\\\.)*)\\/(?:\\(([mygi]+)\\))?/g,\n\t\t\t\t\trexMatch = rex.exec(filterString.substring(p));\n\t\t\t\tif(rexMatch) {\n\t\t\t\t\tnextBracketPos = p + rex.lastIndex - 1;\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\t// Unterminated regular expression\n\t\t\t\t\treturn undefined;\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\t\tif (entry) {\n\t\t\tif (entry.impossible) {\n\t\t\t\trelinker.impossible = true;\n\t\t\t}\n\t\t}\n\n\t\tif(nextBracketPos === -1) {\n\t\t\t// Missing closing bracket in filter expression\n\t\t\treturn undefined;\n\t\t}\n\t\tp = nextBracketPos + 1;\n\t\t// Check for multiple operands\n\t\tswitch (filterString.charAt(p)) {\n\t\tcase ',':\n\t\t\tp++;\n\t\t\tif(/^[\\[\\{<\\/]/.test(filterString.substring(p))) {\n\t\t\t\toperator.bracket = filterString.charAt(p);\n\t\t\t\toperator.opStart = p + 1;\n\t\t\t\toperator.index++;\n\t\t\t} else {\n\t\t\t\treturn undefined;\n\t\t\t}\n\t\t\tcontinue;\n\t\tdefault:\n\t\t\toperator = parseOperator(filterString, p);\n\t\t\tcontinue;\n\t\tcase ']':\n\t\t}\n\t\tbreak;\n\t} while(true);\n\t// Skip the ending square bracket\n\tif(filterString.charAt(p++) !== \"]\") {\n\t\t// Missing ] in filter expression\n\t\treturn undefined;\n\t}\n\t// Return the parsing position\n\treturn p;\n}\n\nfunction reportFilterOperation(filterString, callback, p, context, options) {\n\tvar nextBracketPos, operator;\n\t// Skip the starting square bracket\n\tif(filterString.charAt(p++) !== \"[\") {\n\t\t// Missing [ in filter expression\n\t\treturn undefined;\n\t}\n\toperator = parseOperator(filterString, p);\n\t// Process each operator in turn\n\tdo {\n\t\tif (operator === undefined) {\n\t\t\treturn undefined;\n\t\t}\n\t\tp = operator.opStart;\n\t\tswitch (operator.bracket) {\n\t\t\tcase \"{\": // Curly brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\"}\",p);\n\t\t\t\tvar operand = filterString.substring(p,nextBracketPos);\n\t\t\t\t// Just report it\n\t\t\t\trefHandler.report(operand, function(title, blurb) {\n\t\t\t\t\tcallback(title, operatorBlurb(operator, '{' + (blurb || '') + '}'));\n\t\t\t\t}, options);\n\t\t\t\tbreak;\n\t\t\tcase \"[\": // Square brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\"]\",p);\n\t\t\t\tvar operand = filterString.substring(p,nextBracketPos);\n\t\t\t\t// Check if this is a relevant operator\n\t\t\t\tvar handler = fieldType(context, operator);\n\t\t\t\tif (!handler) {\n\t\t\t\t\t// This operator isn't managed. Bye.\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\t// We just have to report it. Nothing more.\n\t\t\t\thandler.report(operand, function(title, blurb) {\n\t\t\t\t\tcallback(title, operatorBlurb(operator, '[' + (blurb || '') + ']'));\n\t\t\t\t}, options);\n\t\t\t\tbreak;\n\n\t\t\tcase \"<\": // Angle brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\">\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"/\": // regexp brackets\n\t\t\t\tvar rex = /^((?:[^\\\\\\/]*|\\\\.)*)\\/(?:\\(([mygi]+)\\))?/g,\n\t\t\t\t\trexMatch = rex.exec(filterString.substring(p));\n\t\t\t\tif(rexMatch) {\n\t\t\t\t\tnextBracketPos = p + rex.lastIndex - 1;\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\t// Unterminated regular expression\n\t\t\t\t\treturn undefined;\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\n\t\tif(nextBracketPos === -1) {\n\t\t\t// Missing closing bracket in filter expression\n\t\t\treturn undefined;\n\t\t}\n\t\tp = nextBracketPos + 1;\n\t\t// Check for multiple operands\n\t\tswitch (filterString.charAt(p)) {\n\t\tcase ',':\n\t\t\tp++;\n\t\t\tif(/^[\\[\\{<\\/]/.test(filterString.substring(p))) {\n\t\t\t\toperator.bracket = filterString.charAt(p);\n\t\t\t\toperator.opStart = p + 1;\n\t\t\t\toperator.index++;\n\t\t\t} else {\n\t\t\t\treturn undefined;\n\t\t\t}\n\t\t\tcontinue;\n\t\tdefault:\n\t\t\toperator = parseOperator(filterString, p);\n\t\t\tcontinue;\n\t\tcase ']':\n\t\t}\n\t\tbreak;\n\t} while(true);\n\t// Skip the ending square bracket\n\tif(filterString.charAt(p++) !== \"]\") {\n\t\t// Missing ] in filter expression\n\t\treturn undefined;\n\t}\n\t// Return the parsing position\n\treturn p;\n}\n\nfunction parseOperator(filterString, p) {\n\tvar nextBracketPos, operator = {index: 1};\n\t// Check for an operator prefix\n\tif(filterString.charAt(p) === \"!\") {\n\t\toperator.prefix = \"!\";\n\t\tp++;\n\t}\n\t// Get the operator name\n\tnextBracketPos = filterString.substring(p).search(/[\\[\\{<\\/]/);\n\tif(nextBracketPos === -1) {\n\t\t// Missing [ in filter expression\n\t\treturn undefined;\n\t}\n\tnextBracketPos += p;\n\toperator.bracket = filterString.charAt(nextBracketPos);\n\toperator.operator = filterString.substring(p,nextBracketPos);\n\n\t// Any suffix?\n\tvar colon = operator.operator.indexOf(':');\n\tif(colon > -1) {\n\t\toperator.suffix = operator.operator.substring(colon + 1);\n\t\toperator.operator = operator.operator.substring(0,colon) || \"field\";\n\t}\n\t// Empty operator means: title\n\telse if(operator.operator === \"\") {\n\t\toperator.operator = \"title\";\n\t\toperator.default = true;\n\t}\n\toperator.opStart = nextBracketPos + 1;\n\treturn operator;\n};\n\nfunction operatorBlurb(operator, enquotedOperand) {\n\tvar suffix = operator.suffix ? (':' + operator.suffix) : '';\n\t// commas to indicate which number operand\n\tsuffix += (new Array(operator.index)).join(',');\n\tvar op = operator.default ? '' : operator.operator;\n\treturn '[' + (operator.prefix || '') + op + suffix + enquotedOperand + ']';\n};\n\n// Returns the relinker needed for a given operator, or returns undefined.\nfunction fieldType(context, operator) {\n\treturn (operator.suffix &&\n\t        context.getOperator(operator.operator + ':' + operator.suffix, operator.index)) ||\n\t        context.getOperator(operator.operator, operator.index);\n};\n\nfunction canBePrettyOperand(value) {\n\treturn value.indexOf(']') < 0;\n};\n\nfunction canBeInBraces(value) {\n\treturn value.indexOf(\"}}}\") < 0 && value.substr(value.length-2) !== '}}';\n};\n",
            "module-type": "relinkfieldtype",
            "title": "$:/plugins/flibbles/relink/js/fieldtypes/filter.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/fieldtypes/list.js": {
            "text": "/*\\\nThis manages replacing titles that occur within stringLists, like,\n\nTiddlerA [[Tiddler with spaces]] [[Another Title]]\n\\*/\n\nexports.name = \"list\";\n\nexports.report = function(value, callback, options) {\n\tvar list = $tw.utils.parseStringArray(value);\n\tfor (var i = 0; i < list.length; i++) {\n\t\tcallback(list[i]);\n\t}\n};\n\n/**Returns undefined if no change was made.\n * Parameter: value can literally be a list. This can happen for builtin\n *            types 'list' and 'tag'. In those cases, we also return list.\n */\nexports.relink = function(value, fromTitle, toTitle, options) {\n\tvar isModified = false,\n\t\tactualList = false,\n\t\tlist;\n\tif (typeof value !== \"string\") {\n\t\t// Not a string. Must be a list.\n\t\t// clone it, since we may make changes to this possibly\n\t\t// frozen list.\n\t\tlist = (value || []).slice(0);\n\t\tactualList = true;\n\t} else {\n\t\tlist = $tw.utils.parseStringArray(value || \"\");\n\t}\n\t$tw.utils.each(list,function (title,index) {\n\t\tif(title === fromTitle) {\n\t\t\tlist[index] = toTitle;\n\t\t\tisModified = true;\n\t\t}\n\t});\n\tif (isModified) {\n\t\tvar entry = {name: \"list\"};\n\t\t// It doesn't parse correctly alone, it won't\n\t\t// parse correctly in any list.\n\t\tif (!canBeListItem(toTitle)) {\n\t\t\tentry.impossible = true;\n\t\t} else if (actualList) {\n\t\t\tentry.output = list;\n\t\t} else {\n\t\t\tentry.output = $tw.utils.stringifyList(list);\n\t\t}\n\t\treturn entry;\n\t}\n\treturn undefined;\n};\n\nfunction canBeListItem(value) {\n\tvar regexp = /\\]\\][^\\S\\xA0]/m;\n\treturn !regexp.test(value);\n};\n",
            "module-type": "relinkfieldtype",
            "title": "$:/plugins/flibbles/relink/js/fieldtypes/list.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/fieldtypes/reference.js": {
            "text": "/*\\\nThis manages replacing titles that occur inside text references,\n\ntiddlerTitle\ntiddlerTitle!!field\n!!field\ntiddlerTitle##propertyIndex\n\\*/\n\nexports.name = \"reference\";\n\nexports.report = function(value, callback, options) {\n\tif (value) {\n\t\tvar reference = $tw.utils.parseTextReference(value),\n\t\t\ttitle = reference.title,\n\t\t\tblurb;\n\t\tif (title) {\n\t\t\tif (reference.field) {\n\t\t\t\tblurb = '!!' + reference.field;\n\t\t\t} else if (reference.index) {\n\t\t\t\tblurb = '##' + reference.index;\n\t\t\t}\n\t\t\tcallback(title, blurb);\n\t\t}\n\t}\n};\n\nexports.relink = function(value, fromTitle, toTitle, options) {\n\tvar entry;\n\tif (value) {\n\t\tvar reference = $tw.utils.parseTextReference(value);\n\t\tif (reference.title === fromTitle) {\n\t\t\tif (!exports.canBePretty(toTitle)) {\n\t\t\t\tentry = {impossible: true};\n\t\t\t} else {\n\t\t\t\treference.title = toTitle;\n\t\t\t\tentry = {output: exports.toString(reference)};\n\t\t\t}\n\t\t}\n\t}\n\treturn entry;\n};\n\n/* Same as this.relink, except this has the added constraint that the return\n * value must be able to be wrapped in curly braces.\n */\nexports.relinkInBraces = function(value, fromTitle, toTitle, options) {\n\tvar log = this.relink(value, fromTitle, toTitle, options);\n\tif (log && log.output && toTitle.indexOf(\"}\") >= 0) {\n\t\tdelete log.output;\n\t\tlog.impossible = true;\n\t}\n\treturn log;\n};\n\nexports.toString = function(textReference) {\n\tvar title = textReference.title || '';\n\tif (textReference.field) {\n\t\treturn title + \"!!\" + textReference.field;\n\t} else if (textReference.index) {\n\t\treturn title + \"##\" + textReference.index;\n\t}\n\treturn title;\n};\n\nexports.canBePretty = function(title)  {\n\treturn !title || (title.indexOf(\"!!\") < 0 && title.indexOf(\"##\") < 0);\n};\n",
            "module-type": "relinkfieldtype",
            "title": "$:/plugins/flibbles/relink/js/fieldtypes/reference.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/fieldtypes/title.js": {
            "text": "/*\\\nThis specifies logic for replacing a single-tiddler field. This is the\nsimplest kind of field type. One title swaps out for the other.\n\\*/\n\n// NOTE TO MODDERS: If you're making your own field types, the name must be\n//                  alpha characters only.\nexports.name = 'title';\n\nexports.report = function(value, callback, options) {\n\tcallback(value);\n};\n\n/**Returns undefined if no change was made.\n */\nexports.relink = function(value, fromTitle, toTitle, options) {\n\tif (value === fromTitle) {\n\t\treturn {output: toTitle};\n\t}\n\treturn undefined;\n};\n\n// This is legacy support for when 'title' was known as 'field'\nexports.aliases = ['field', 'yes'];\n",
            "module-type": "relinkfieldtype",
            "title": "$:/plugins/flibbles/relink/js/fieldtypes/title.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/fieldtypes/wikitext.js": {
            "text": "/*\\\nThis specifies logic for updating filters to reflect title changes.\n\\*/\n\nexports.name = \"wikitext\";\n\nvar type = 'text/vnd.tiddlywiki';\n\nvar WikiParser = require(\"$:/core/modules/parsers/wikiparser/wikiparser.js\")[type];\nvar Rebuilder = require(\"$:/plugins/flibbles/relink/js/utils/rebuilder.js\");\nvar utils = require('$:/plugins/flibbles/relink/js/utils');\nvar WikitextContext = utils.getContext('wikitext');\n\nfunction collectRules() {\n\tvar rules = Object.create(null);\n\t$tw.modules.forEachModuleOfType(\"relinkwikitextrule\", function(title, exports) {\n\t\tvar names = exports.name;\n\t\tif (typeof names === \"string\") {\n\t\t\tnames = [names];\n\t\t}\n\t\tif (names !== undefined) {\n\t\t\tfor (var i = 0; i < names.length; i++) {\n\t\t\t\trules[names[i]] = exports;\n\t\t\t}\n\t\t}\n\t});\n\treturn rules;\n}\n\nfunction WikiWalker(type, text, options) {\n\tthis.options = options;\n\tif (!this.relinkMethodsInjected) {\n\t\tvar rules = collectRules();\n\t\t$tw.utils.each([this.pragmaRuleClasses, this.blockRuleClasses, this.inlineRuleClasses], function(classList) {\n\t\t\tfor (var name in classList) {\n\t\t\t\tif (rules[name]) {\n\t\t\t\t\tdelete rules[name].name;\n\t\t\t\t\t$tw.utils.extend(classList[name].prototype, rules[name]);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t\tWikiWalker.prototype.relinkMethodsInjected = true;\n\t}\n\tthis.context = new WikitextContext(options.settings);\n\tWikiParser.call(this, type, text, options);\n};\n\nWikiWalker.prototype = Object.create(WikiParser.prototype);\n\nWikiWalker.prototype.parsePragmas = function() {\n\tvar entries = this.tree;\n\twhile (true) {\n\t\tthis.skipWhitespace();\n\t\tif (this.pos >= this.sourceLength) {\n\t\t\tbreak;\n\t\t}\n\t\tvar nextMatch = this.findNextMatch(this.pragmaRules, this.pos);\n\t\tif (!nextMatch || nextMatch.matchIndex !== this.pos) {\n\t\t\tbreak;\n\t\t}\n\t\tentries.push.apply(entries, this.handleRule(nextMatch));\n\t}\n\treturn entries;\n};\n\nWikiWalker.prototype.parseInlineRunUnterminated = function(options) {\n\tvar entries = [];\n\tvar nextMatch = this.findNextMatch(this.inlineRules, this.pos);\n\twhile (this.pos < this.sourceLength && nextMatch) {\n\t\tif (nextMatch.matchIndex > this.pos) {\n\t\t\tthis.pos = nextMatch.matchIndex;\n\t\t}\n\t\tentries.push.apply(entries, this.handleRule(nextMatch));\n\t\tnextMatch = this.findNextMatch(this.inlineRules, this.pos);\n\t}\n\tthis.pos = this.sourceLength;\n\treturn entries;\n};\n\nWikiWalker.prototype.parseInlineRunTerminated = function(terminatorRegExp,options) {\n\tvar entries = [];\n\toptions = options || {};\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar terminatorMatch = terminatorRegExp.exec(this.source);\n\tvar inlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\twhile(this.pos < this.sourceLength && (terminatorMatch || inlineRuleMatch)) {\n\t\tif (terminatorMatch) {\n\t\t\tif (!inlineRuleMatch || inlineRuleMatch.matchIndex >= terminatorMatch.index) {\n\t\t\t\tthis.pos = terminatorMatch.index;\n\t\t\t\tif (options.eatTerminator) {\n\t\t\t\t\tthis.pos += terminatorMatch[0].length;\n\t\t\t\t}\n\t\t\t\treturn entries;\n\t\t\t}\n\t\t}\n\t\tif (inlineRuleMatch) {\n\t\t\tif (inlineRuleMatch.matchIndex > this.pos) {\n\t\t\t\tthis.pos = inlineRuleMatch.matchIndex;\n\t\t\t}\n\t\t\tentries.push.apply(entries, this.handleRule(inlineRuleMatch));\n\t\t\tinlineRuleMatch = this.findNextMatch(this.inlineRules, this.pos);\n\t\t\tterminatorRegExp.lastIndex = this.pos;\n\t\t\tterminatorMatch = terminatorRegExp.exec(this.source);\n\t\t}\n\t}\n\tthis.pos = this.sourceLength;\n\treturn entries;\n\n};\n\nWikiWalker.prototype.parseBlock = function(terminatorRegExp) {\n\tvar terminatorRegExp = /(\\r?\\n\\r?\\n)/mg;\n\tthis.skipWhitespace();\n\tif (this.pos >= this.sourceLength) {\n\t\treturn [];\n\t}\n\tvar nextMatch = this.findNextMatch(this.blockRules, this.pos);\n\tif(nextMatch && nextMatch.matchIndex === this.pos) {\n\t\treturn this.handleRule(nextMatch);\n\t}\n\treturn this.parseInlineRun(terminatorRegExp);\n};\n\nWikiWalker.prototype.amendRules = function(type, names) {\n\tvar only;\n\tWikiParser.prototype.amendRules.call(this, type, names);\n\tif (type === \"only\") {\n\t\tonly = true;\n\t} else if (type === \"except\") {\n\t\tonly = false;\n\t} else {\n\t\treturn;\n\t}\n\tif (only !== (names.indexOf(\"macrodef\") >= 0) && this.options.macrodefCanBeDisabled) {\n\t\tthis.options.placeholder = undefined\n\t}\n\tif (only !== (names.indexOf(\"html\") >= 0)) {\n\t\tthis.context.allowWidgets = disabled;\n\t}\n\tif (only !== (names.indexOf(\"prettylink\") >= 0)) {\n\t\tthis.context.allowPrettylinks = disabled;\n\t}\n};\n\nfunction disabled() { return false; };\n\n/// Reporter\n\nfunction WikiReporter(type, text, callback, options) {\n\tthis.callback = callback;\n\tWikiWalker.call(this, type, text, options);\n};\n\nWikiReporter.prototype = Object.create(WikiWalker.prototype);\n\nWikiReporter.prototype.handleRule = function(ruleInfo) {\n\tif (ruleInfo.rule.report) {\n\t\truleInfo.rule.report(this.source, this.callback, this.options);\n\t} else {\n\t\tif (ruleInfo.rule.matchRegExp !== undefined) {\n\t\t\tthis.pos = ruleInfo.rule.matchRegExp.lastIndex;\n\t\t} else {\n\t\t\t// We can't easily determine the end of this\n\t\t\t// rule match. We'll \"parse\" it so that\n\t\t\t// parser.pos gets updated, but we throw away\n\t\t\t// the results.\n\t\t\truleInfo.rule.parse();\n\t\t}\n\t}\n};\n\nexports.report = function(wikitext, callback, options) {\n\t// Unfortunately it's the side-effect of creating this that reports.\n\tnew WikiReporter(options.type, wikitext, callback, options);\n};\n\n/// Relinker\n\nfunction WikiRelinker(type, text, fromTitle, toTitle, options) {\n\tthis.fromTitle = fromTitle;\n\tthis.toTitle = toTitle;\n\tthis.placeholder = options.placeholder;\n\tif (this.placeholder) {\n\t\tthis.placeholder.parser = this;\n\t}\n\tWikiWalker.call(this, type, text, options);\n};\n\nWikiRelinker.prototype = Object.create(WikiWalker.prototype);\n\nWikiRelinker.prototype.handleRule = function(ruleInfo) {\n\tif (ruleInfo.rule.relink) {\n\t\tvar start = ruleInfo.matchIndex;\n\t\tvar newEntry = ruleInfo.rule.relink(this.source, this.fromTitle, this.toTitle, this.options);\n\t\tif (newEntry !== undefined) {\n\t\t\tif (newEntry.output) {\n\t\t\t\tnewEntry.start = start;\n\t\t\t\tnewEntry.end = this.pos;\n\t\t\t}\n\t\t\treturn [newEntry];\n\t\t}\n\t} else {\n\t\tif (ruleInfo.rule.matchRegExp !== undefined) {\n\t\t\tthis.pos = ruleInfo.rule.matchRegExp.lastIndex;\n\t\t} else {\n\t\t\t// We can't easily determine the end of this\n\t\t\t// rule match. We'll \"parse\" it so that\n\t\t\t// parser.pos gets updated, but we throw away\n\t\t\t// the results.\n\t\t\truleInfo.rule.parse();\n\t\t}\n\t}\n\treturn [];\n};\n\nexports.relink = function(wikitext, fromTitle, toTitle, options) {\n\tvar parser = new WikiRelinker(options.type, wikitext, fromTitle, toTitle, options),\n\t\twikiEntry = undefined;\n\t// Now that we have an array of entries, let's produce the wikiText entry\n\t// containing them all.\n\tif (parser.tree.length > 0) {\n\t\tvar builder = new Rebuilder(wikitext);\n\t\twikiEntry = {};\n\t\tfor (var i = 0; i < parser.tree.length; i++) {\n\t\t\tvar entry = parser.tree[i];\n\t\t\tif (entry.impossible) {\n\t\t\t\twikiEntry.impossible = true;\n\t\t\t}\n\t\t\tif (entry.output) {\n\t\t\t\tbuilder.add(entry.output, entry.start, entry.end);\n\t\t\t}\n\t\t}\n\t\twikiEntry.output = builder.results();\n\t}\n\treturn wikiEntry;\n};\n",
            "module-type": "relinkfieldtype",
            "title": "$:/plugins/flibbles/relink/js/fieldtypes/wikitext.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/fields.js": {
            "text": "/*\\\n\nHandles all fields specified in the plugin configuration. Currently, this\nonly supports single-value fields.\n\n\\*/\n\n/*jslint node: false, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = 'fields';\n\nexports.report = function(tiddler, callback, options) {\n\tvar fields = options.settings.getFields();\n\t$tw.utils.each(fields, function(handler, field) {\n\t\tvar input = tiddler.fields[field];\n\t\tif (input) {\n\t\t\thandler.report(input, function(title, blurb) {\n\t\t\t\tif (blurb) {\n\t\t\t\t\tcallback(title, field + ': ' + blurb);\n\t\t\t\t} else {\n\t\t\t\t\tcallback(title, field);\n\t\t\t\t}\n\t\t\t}, options);\n\t\t}\n\t});\n};\n\nexports.relink = function(tiddler, fromTitle, toTitle, changes, options) {\n\tvar fields = options.settings.getFields();\n\t$tw.utils.each(fields, function(handler, field) {\n\t\tvar input = tiddler.fields[field];\n\t\tif (input) {\n\t\t\tvar entry = handler.relink(input, fromTitle, toTitle, options);\n\t\t\tif (entry !== undefined) {\n\t\t\t\tchanges[field] = entry;\n\t\t\t}\n\t\t}\n\t});\n};\n",
            "module-type": "relinkoperator",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/fields.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text.js": {
            "text": "/*\\\n\nDepending on the tiddler type, this will apply textOperators which may\nrelink titles within the body.\n\n\\*/\n\n/*jslint node: false, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar defaultOperator = \"text/vnd.tiddlywiki\";\nvar utils = require('$:/plugins/flibbles/relink/js/utils.js');\n\nexports.name = 'text';\n\nvar textOperators = utils.getModulesByTypeAsHashmap('relinktextoperator', 'type');\n\n// $:/DefaultTiddlers is a tiddler which has type \"text/vnd.tiddlywiki\",\n// but it lies. It doesn't contain wikitext. It contains a filter, so\n// we pretend it has a filter type.\n// If you want to be able to add more exceptions for your plugin, let me know.\nvar exceptions = {\n\t\"$:/DefaultTiddlers\": \"text/x-tiddler-filter\"\n};\n\nexports.report = function(tiddler, callback, options) {\n\tvar fields = tiddler.fields;\n\tif (fields.text) {\n\t\tvar type = exceptions[fields.title] || fields.type || defaultOperator;\n\t\tif (textOperators[type]) {\n\t\t\tvar entry = textOperators[type].report(tiddler, callback, options);\n\t\t}\n\t}\n};\n\nexports.relink = function(tiddler, fromTitle, toTitle, changes, options) {\n\tvar fields = tiddler.fields;\n\tif (fields.text) {\n\t\tvar type = exceptions[fields.title] || fields.type || defaultOperator;\n\t\tif (textOperators[type]) {\n\t\t\tvar entry = textOperators[type].relink(tiddler, fromTitle, toTitle, options);\n\t\t\tif (entry) {\n\t\t\t\tchanges.text = entry;\n\t\t\t}\n\t\t}\n\t}\n};\n",
            "module-type": "relinkoperator",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/filtertext.js": {
            "text": "/*\\\n\nThis relinks tiddlers which contain filters in their body, as oppose to\nwikitext.\n\n\\*/\n\n/*jslint node: false, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar filterHandler = require(\"$:/plugins/flibbles/relink/js/utils\").getType('filter');\n\nexports.type = 'text/x-tiddler-filter';\n\nexports.report = function(tiddler, callback, options) {\n\treturn filterHandler.report(tiddler.fields.text, callback, options);\n};\n\nexports.relink = function(tiddler, fromTitle, toTitle, options) {\n\treturn filterHandler.relink(tiddler.fields.text, fromTitle, toTitle, options)\n};\n",
            "module-type": "relinktextoperator",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/filtertext.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext.js": {
            "text": "/*\\\n\nChecks for fromTitle in a tiddler's text. If found, sees if it's relevant,\nand tries to swap it out if it is.\n\n\\*/\n\n/*jslint node: false, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Placeholder = require(\"$:/plugins/flibbles/relink/js/utils/placeholder.js\");\nvar wikitextHandler = require('$:/plugins/flibbles/relink/js/utils.js').getType('wikitext');\n\nexports.type = 'text/vnd.tiddlywiki';\n\nexports.report = function(tiddler, callback, options) {\n\twikitextHandler.report(tiddler.fields.text, callback, options);\n};\n\nexports.relink = function(tiddler, fromTitle, toTitle, options) {\n\tvar placeholder = new Placeholder();\n\tvar currentOptions = Object.create(options);\n\tcurrentOptions.placeholder = placeholder;\n\tvar entry = wikitextHandler.relink(tiddler.fields.text, fromTitle, toTitle, currentOptions);\n\tif (entry && entry.output) {\n\t\t// If there's output, we've also got to prepend any macros\n\t\t// that the placeholder defined.\n\t\tvar preamble = placeholder.getPreamble();\n\t\tentry.output = preamble + entry.output;\n\t}\n\treturn entry;\n};\n",
            "module-type": "relinktextoperator",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/code.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles code blocks. Or rather //doesn't// handle them, since we should\nignore their contents.\n\n\"`` [[Renamed Title]] ``\" will remain unchanged.\n\n\\*/\n\nexports.name = [\"codeinline\", \"codeblock\"];\n\nexports.relink = function(text) {\n\tvar reEnd;\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// I'm lazy. This relink method works for both codeblock and codeinline\n\tif (this.match[0].length > 2) {\n\t\t// Must be a codeblock\n\t\treEnd = /\\r?\\n```$/mg;\n\t} else {\n\t\t// Must be a codeinline\n\t\treEnd = new RegExp(this.match[1], \"mg\");\n\t}\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(text);\n\tif (match) {\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\treturn undefined;\n};\n\n// Same thing. Just skip the pos ahead.\nexports.report = exports.relink;\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/code.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/comment.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles comment blocks. Or rather //doesn't// handle them, since we should\nignore their contents.\n\n\"<!-- [[Renamed Title]] -->\" will remain unchanged.\n\n\\*/\n\nexports.name = [\"commentinline\", \"commentblock\"];\n\nexports.relink = function(text) {\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\treturn undefined;\n};\n\nexports.report = exports.relink;\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/comment.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/filteredtransclude.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles replacement of filtered transclusions in wiki text like,\n\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n\nThis renames both the list and the template field.\n\n\\*/\n\nexports.name = ['filteredtranscludeinline', 'filteredtranscludeblock'];\n\nvar filterHandler = require(\"$:/plugins/flibbles/relink/js/utils\").getType('filter');\nvar utils = require(\"./utils.js\");\n\nexports.report = function(text, callback, options) {\n\tvar m = this.match,\n\t\tfilter = m[1],\n\t\ttemplate = $tw.utils.trim(m[3]),\n\t\tappend = template ? '||' + template + '}}}' : '}}}';\n\tfilterHandler.report(filter, function(title, blurb) {\n\t\tcallback(title, '{{{' + blurb + append);\n\t}, options);\n\tif (template) {\n\t\tcallback(template, '{{{' + $tw.utils.trim(filter).replace(/\\r?\\n/mg, ' ') + '||}}}');\n\t}\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tvar m = this.match,\n\t\tfilter = m[1],\n\t\ttooltip = m[2],\n\t\ttemplate = m[3],\n\t\tstyle = m[4],\n\t\tclasses = m[5],\n\t\tparser = this.parser,\n\t\tentry = {};\n\tparser.pos = this.matchRegExp.lastIndex;\n\tvar modified = false;\n\n\tvar filterEntry = filterHandler.relink(filter, fromTitle, toTitle, options);\n\tif (filterEntry !== undefined) {\n\t\tif (filterEntry.output) {\n\t\t\tfilter = filterEntry.output;\n\t\t\tmodified = true;\n\t\t}\n\t\tif (filterEntry.impossible) {\n\t\t\tentry.impossible = true;\n\t\t}\n\t}\n\n\tif ($tw.utils.trim(template) === fromTitle) {\n\t\t// preserves user-inputted whitespace\n\t\ttemplate = template.replace(fromTitle, toTitle);\n\t\tmodified = true;\n\t}\n\tif (!modified) {\n\t\tif (!entry.impossible) {\n\t\t\treturn undefined;\n\t\t}\n\t} else {\n\t\tvar output = this.makeFilteredtransclude(this.parser, filter, tooltip, template, style, classes);\n\t\tif (output === undefined) {\n\t\t\tentry.impossible = true;\n\t\t} else {\n\t\t\t// By copying over the ending newline of the original\n\t\t\t// text if present, thisrelink method thus works for\n\t\t\t// both the inline and block rule\n\t\t\tentry.output = output + utils.getEndingNewline(m[0]);\n\t\t}\n\t}\n\treturn entry;\n};\n\nexports.makeFilteredtransclude = function(parser, filter, tooltip, template, style, classes) {\n\tif (canBePretty(filter) && canBePrettyTemplate(template)) {\n\t\treturn prettyList(filter, tooltip, template, style, classes);\n\t}\n\tif (classes !== undefined) {\n\t\tclasses = classes.split('.').join(' ');\n\t}\n\treturn utils.makeWidget(parser, '$list', {\n\t\tfilter: filter,\n\t\ttooltip: tooltip,\n\t\ttemplate: template,\n\t\tstyle: style || undefined,\n\t\titemClass: classes});\n};\n\nfunction prettyList(filter, tooltip, template, style, classes) {\n\tif (tooltip === undefined) {\n\t\ttooltip = '';\n\t} else {\n\t\ttooltip = \"|\" + tooltip;\n\t}\n\tif (template === undefined) {\n\t\ttemplate = '';\n\t} else {\n\t\ttemplate = \"||\" + template;\n\t}\n\tif (classes === undefined) {\n\t\tclasses = '';\n\t} else {\n\t\tclasses = \".\" + classes;\n\t}\n\tstyle = style || '';\n\treturn \"{{{\"+filter+tooltip+template+\"}}\"+style+\"}\"+classes;\n};\n\nfunction canBePretty(filter) {\n\treturn filter.indexOf('|') < 0 && filter.indexOf('}}') < 0;\n};\n\nfunction canBePrettyTemplate(template) {\n\treturn !template || (\n\t\ttemplate.indexOf('|') < 0\n\t\t&& template.indexOf('{') < 0\n\t\t&& template.indexOf('}') < 0);\n};\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/filteredtransclude.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/html.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles replacement in attributes of widgets and html elements\nThis is configurable to select exactly which attributes of which elements\nshould be changed.\n\n<$link to=\"TiddlerTitle\" />\n\n\\*/\n\nvar utils = require(\"./utils.js\");\nvar Rebuilder = require(\"$:/plugins/flibbles/relink/js/utils/rebuilder\");\nvar relinkUtils = require('$:/plugins/flibbles/relink/js/utils.js');\nvar refHandler = relinkUtils.getType('reference');\nvar filterHandler = relinkUtils.getType('filter');\nvar ImportContext = relinkUtils.getContext('import');\nvar macrocall = require(\"./macrocall.js\");\n\nexports.name = \"html\";\n\nexports.report = function(text, callback, options) {\n\tvar managedElement = this.parser.context.getAttribute(this.nextTag.tag);\n\tvar importFilterAttr;\n\tvar element = this.nextTag.tag;\n\tfor (var attributeName in this.nextTag.attributes) {\n\t\tvar attr = this.nextTag.attributes[attributeName];\n\t\tvar nextEql = text.indexOf('=', attr.start);\n\t\t// This is the rare case of changing tiddler\n\t\t// \"true\" to something else when \"true\" is\n\t\t// implicit, like <$link to /> We ignore those.\n\t\tif (nextEql < 0 || nextEql > attr.end) {\n\t\t\tcontinue;\n\t\t}\n\t\tif (this.nextTag.tag === \"$importvariables\" && attributeName === \"filter\") {\n\t\t\timportFilterAttr = attr;\n\t\t}\n\t\tvar oldLength, quotedValue = undefined, entry;\n\t\tif (attr.type === \"string\") {\n\t\t\tvar handler = getAttributeHandler(this.parser.context, this.nextTag, attributeName, options);\n\t\t\tif (!handler) {\n\t\t\t\t// We don't manage this attribute. Bye.\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\thandler.report(attr.value, function(title, blurb) {\n\t\t\t\tif (blurb) {\n\t\t\t\t\tcallback(title, '<' + element + ' ' + attributeName + '=\"' + blurb + '\" />');\n\t\t\t\t} else {\n\t\t\t\t\tcallback(title, '<' + element + ' ' + attributeName + ' />');\n\t\t\t\t}\n\t\t\t}, options);\n\t\t} else if (attr.type === \"indirect\") {\n\t\t\tentry = refHandler.report(attr.textReference, function(title, blurb) {\n\t\t\t\tcallback(title, '<' + element + ' ' + attributeName + '={{' + (blurb || '') + '}} />');\n\t\t\t}, options);\n\t\t} else if (attr.type === \"filtered\") {\n\t\t\tentry = filterHandler.report(attr.filter, function(title, blurb) {\n\t\t\t\tcallback(title, '<' + element + ' ' + attributeName + '={{{' + blurb + '}}} />');\n\t\t\t}, options);\n\t\t} else if (attr.type === \"macro\") {\n\t\t\tvar macro = attr.value;\n\t\t\tentry = macrocall.reportAttribute(this.parser, macro, function(title, blurb) {\n\t\t\t\tcallback(title, '<' + element + ' ' + attributeName + '=' + blurb + ' />');\n\t\t\t}, options);\n\t\t}\n\t\tif (quotedValue === undefined) {\n\t\t\tcontinue;\n\t\t}\n\t\tif (this.nextTag.tag === \"$importvariables\" && attributeName === \"filter\") {\n\t\t\t// If this is an import variable filter, we gotta\n\t\t\t// remember this new value when we import lower down.\n\t\t\timportFilterAttr = quotedValue;\n\t\t}\n\t}\n\tif (importFilterAttr) {\n\t\tprocessImportFilter(this.parser, importFilterAttr, options);\n\t}\n\tthis.parse();\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tvar managedElement = this.parser.context.getAttribute(this.nextTag.tag),\n\t\tbuilder = new Rebuilder(text, this.nextTag.start);\n\tvar importFilterAttr;\n\tvar widgetEntry = {};\n\twidgetEntry.attributes = Object.create(null);\n\twidgetEntry.element = this.nextTag.tag;\n\tfor (var attributeName in this.nextTag.attributes) {\n\t\tvar attr = this.nextTag.attributes[attributeName];\n\t\tvar nextEql = text.indexOf('=', attr.start);\n\t\t// This is the rare case of changing tiddler\n\t\t// \"true\" to something else when \"true\" is\n\t\t// implicit, like <$link to /> We ignore those.\n\t\tif (nextEql < 0 || nextEql > attr.end) {\n\t\t\tcontinue;\n\t\t}\n\t\tif (this.nextTag.tag === \"$importvariables\" && attributeName === \"filter\") {\n\t\t\timportFilterAttr = attr;\n\t\t}\n\t\tvar oldLength, quotedValue = undefined, entry;\n\t\tvar nestedOptions = Object.create(options);\n\t\tnestedOptions.settings = this.parser.context;\n\t\tswitch (attr.type) {\n\t\tcase 'string':\n\t\t\tvar handler = getAttributeHandler(this.parser.context, this.nextTag, attributeName, options);\n\t\t\tif (!handler) {\n\t\t\t\t// We don't manage this attribute. Bye.\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tentry = handler.relink(attr.value, fromTitle, toTitle, nestedOptions);\n\t\t\tif (entry === undefined) {\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tif (entry.output) {\n\t\t\t\tvar quote = utils.determineQuote(text, attr);\n\t\t\t\toldLength = attr.value.length + (quote.length * 2);\n\t\t\t\tquotedValue = utils.wrapAttributeValue(entry.output,quote);\n\t\t\t\tif (quotedValue === undefined) {\n\t\t\t\t\t// The value was unquotable. We need to make\n\t\t\t\t\t// a macro in order to replace it.\n\t\t\t\t\tif (!options.placeholder) {\n\t\t\t\t\t\t// but we can't...\n\t\t\t\t\t\tentry.impossible = true;\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvar value = options.placeholder.getPlaceholderFor(entry.output,handler.name)\n\t\t\t\t\t\tquotedValue = \"<<\"+value+\">>\";\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\tbreak;\n\t\tcase 'indirect':\n\t\t\tentry = refHandler.relinkInBraces(attr.textReference, fromTitle, toTitle, options);\n\t\t\tif (entry === undefined) {\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tif (entry.output) {\n\t\t\t\t// +4 for '{{' and '}}'\n\t\t\t\toldLength = attr.textReference.length + 4;\n\t\t\t\tquotedValue = \"{{\"+entry.output+\"}}\";\n\t\t\t}\n\t\t\tbreak;\n\t\tcase 'filtered':\n\t\t\tentry = filterHandler.relinkInBraces(attr.filter, fromTitle, toTitle, options);\n\t\t\tif (entry === undefined) {\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tif (entry.output) {\n\t\t\t\t// +6 for '{{{' and '}}}'\n\t\t\t\toldLength = attr.filter.length + 6;\n\t\t\t\tquotedValue = \"{{{\"+ entry.output +\"}}}\";\n\t\t\t}\n\t\t\tbreak;\n\t\tcase 'macro':\n\t\t\tvar macro = attr.value;\n\t\t\tentry = macrocall.relinkAttribute(this.parser, macro, text, fromTitle, toTitle, options);\n\t\t\tif (entry === undefined) {\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tif (entry.output) {\n\t\t\t\t// already includes '<<' and '>>'\n\t\t\t\toldLength = macro.end-macro.start;\n\t\t\t\tquotedValue = entry.output;\n\t\t\t}\n\t\t}\n\t\tif (entry.impossible) {\n\t\t\twidgetEntry.impossible = true;\n\t\t}\n\t\tif (quotedValue === undefined) {\n\t\t\tcontinue;\n\t\t}\n\t\tif (this.nextTag.tag === \"$importvariables\" && attributeName === \"filter\") {\n\t\t\t// If this is an import variable filter, we gotta\n\t\t\t// remember this new value when we import lower down.\n\t\t\timportFilterAttr = quotedValue;\n\t\t}\n\t\t// We count backwards from the end to preserve whitespace\n\t\tvar valueStart = attr.end - oldLength;\n\t\tbuilder.add(quotedValue, valueStart, attr.end);\n\t}\n\tif (importFilterAttr) {\n\t\tprocessImportFilter(this.parser, importFilterAttr, options);\n\t}\n\tvar tag = this.parse()[0];\n\tif (tag.children) {\n\t\tfor (var i = 0; i < tag.children.length; i++) {\n\t\t\tvar child = tag.children[i];\n\t\t\tif (child.output) {\n\t\t\t\tbuilder.add(child.output, child.start, child.end);\n\t\t\t}\n\t\t\tif (child.impossible) {\n\t\t\t\twidgetEntry.impossible = true;\n\t\t\t}\n\t\t}\n\t}\n\tif (builder.changed() || widgetEntry.impossible) {\n\t\twidgetEntry.output = builder.results(this.parser.pos);\n\t\treturn widgetEntry;\n\t}\n\treturn undefined;\n};\n\n/** Returns the field handler for the given attribute of the given widget.\n *  If this returns undefined, it means we don't handle it. So skip.\n */\nfunction getAttributeHandler(context, widget, attributeName, options) {\n\tif (widget.tag === \"$macrocall\") {\n\t\tvar nameAttr = widget.attributes[\"$name\"];\n\t\tif (nameAttr) {\n\t\t\tvar macro = context.getMacro(nameAttr.value);\n\t\t\tif (macro) {\n\t\t\t\treturn macro[attributeName];\n\t\t\t}\n\t\t}\n\t} else {\n\t\tvar element = context.getAttribute(widget.tag);\n\t\tif (element) {\n\t\t\treturn element[attributeName];\n\t\t}\n\t}\n\treturn undefined;\n};\n\nfunction computeAttribute(context, attribute, options) {\n\tvar value;\n\tif(attribute.type === \"filtered\") {\n\t\tvar parentWidget = context.widget;\n\t\tvalue = options.wiki.filterTiddlers(attribute.filter,parentWidget)[0] || \"\";\n\t} else if(attribute.type === \"indirect\") {\n\t\tvar parentWidget = context.widget;\n\t\tvalue = options.wiki.getTextReference(attribute.textReference,\"\",parentWidget.variables.currentTiddler.value);\n\t} else if(attribute.type === \"macro\") {\n\t\tvar parentWidget = context.widget;\n\t\tvalue = parentWidget.getVariable(attribute.value.name,{params: attribute.value.params});\n\t} else { // String attribute\n\t\tvalue = attribute.value;\n\t}\n\treturn value;\n};\n\n// This processes a <$importvariables> filter attribute and adds any new\n// variables to our parser.\nfunction processImportFilter(parser, importAttribute, options) {\n\tif (typeof importAttribute === \"string\") {\n\t\t// It was changed. Reparse it. It'll be a quoted\n\t\t// attribute value. Add a dummy attribute name.\n\t\timportAttribute = $tw.utils.parseAttribute(\"p=\"+importAttribute, 0)\n\t}\n\tvar context = parser.context;\n\tvar importFilter = computeAttribute(context, importAttribute, options);\n\tparser.context = new ImportContext(options.wiki, context, importFilter);\n};\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/html.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/image.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles replacement in wiki text inline rules, like,\n\n[img[tiddler.jpg]]\n\n[img width=23 height=24 [Description|tiddler.jpg]]\n\n\\*/\n\nvar Rebuilder = require(\"$:/plugins/flibbles/relink/js/utils/rebuilder\");\nvar refHandler = require(\"$:/plugins/flibbles/relink/js/fieldtypes/reference\");\nvar filterHandler = require(\"$:/plugins/flibbles/relink/js/utils\").getType('filter');\nvar macrocall = require(\"./macrocall.js\");\nvar utils = require(\"./utils.js\");\n\nexports.name = \"image\";\n\nexports.report = function(text, callback, options) {\n\tvar ptr = this.nextImage.start + 4; //[img\n\tvar inSource = false;\n\tfor (var attributeName in this.nextImage.attributes) {\n\t\tvar attr = this.nextImage.attributes[attributeName];\n\t\tif (attributeName === \"source\" || attributeName === \"tooltip\") {\n\t\t\tif (inSource) {\n\t\t\t\tptr = text.indexOf('|', ptr);\n\t\t\t} else {\n\t\t\t\tptr = text.indexOf('[', ptr);\n\t\t\t\tinSource = true;\n\t\t\t}\n\t\t\tptr += 1;\n\t\t}\n\t\tif (attributeName === \"source\") {\n\t\t\tvar tooltip = this.nextImage.attributes.tooltip;\n\t\t\tvar blurb = '[img[' + (tooltip ? tooltip.value : '') + ']]';\n\t\t\tcallback(attr.value, blurb);\n\t\t\tptr = text.indexOf(attr.value, ptr);\n\t\t\tptr = text.indexOf(']]', ptr) + 2;\n\t\t} else if (attributeName !== \"tooltip\") {\n\t\t\tptr = reportAttribute(this.parser, attr, callback, options);\n\t\t}\n\t}\n\tthis.parser.pos = ptr;\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tvar ptr = this.nextImage.start,\n\t\tbuilder = new Rebuilder(text, ptr),\n\t\tmakeWidget = false,\n\t\tskipSource = false,\n\t\timageEntry;\n\tif (this.nextImage.attributes.source.value === fromTitle && !canBePretty(toTitle, this.nextImage.attributes.tooltip)) {\n\t\tif (this.parser.context.allowWidgets() && (utils.wrapAttributeValue(toTitle) || options.placeholder)) {\n\t\t\tmakeWidget = true;\n\t\t\tbuilder.add(\"<$image\", ptr, ptr+4);\n\t\t} else {\n\t\t\t// We won't be able to make a placeholder to replace\n\t\t\t// the source attribute. We check now so we don't\n\t\t\t// prematurely convert into a widget.\n\t\t\t// Keep going in case other attributes need replacing.\n\t\t\tskipSource = true;\n\t\t}\n\t}\n\tptr += 4; //[img\n\tvar inSource = false;\n\tfor (var attributeName in this.nextImage.attributes) {\n\t\tvar attr = this.nextImage.attributes[attributeName];\n\t\tif (attributeName === \"source\" || attributeName === \"tooltip\") {\n\t\t\tif (inSource) {\n\t\t\t\tptr = text.indexOf('|', ptr);\n\t\t\t} else {\n\t\t\t\tptr = text.indexOf('[', ptr);\n\t\t\t\tinSource = true;\n\t\t\t}\n\t\t\tif (makeWidget) {\n\t\t\t\tif (\" \\t\\n\".indexOf(text[ptr-1]) >= 0) {\n\t\t\t\t\tbuilder.add('', ptr, ptr+1);\n\t\t\t\t} else {\n\t\t\t\t\tbuilder.add(' ', ptr, ptr+1);\n\t\t\t\t}\n\t\t\t}\n\t\t\tptr += 1;\n\t\t}\n\t\tif (attributeName === \"source\") {\n\t\t\tptr = text.indexOf(attr.value, ptr);\n\t\t\tif (attr.value === fromTitle) {\n\t\t\t\tif (makeWidget) {\n\t\t\t\t\tvar quotedValue = utils.wrapAttributeValue(toTitle);\n\t\t\t\t\tif (quotedValue === undefined) {\n\t\t\t\t\t\tvar key = options.placeholder.getPlaceholderFor(toTitle);\n\t\t\t\t\t\tbuilder.add(\"source=<<\"+key+\">>\", ptr, ptr+fromTitle.length);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tbuilder.add(\"source=\"+quotedValue, ptr, ptr+fromTitle.length);\n\t\t\t\t\t}\n\t\t\t\t} else if (!skipSource) {\n\t\t\t\t\tbuilder.add(toTitle, ptr, ptr+fromTitle.length);\n\t\t\t\t} else {\n\t\t\t\t\tbuilder.impossible = true;\n\t\t\t\t}\n\t\t\t}\n\t\t\tptr = text.indexOf(']]', ptr);\n\t\t\tif (makeWidget) {\n\t\t\t\tbuilder.add(\"/>\", ptr, ptr+2);\n\t\t\t}\n\t\t\tptr += 2;\n\t\t} else if (attributeName === \"tooltip\") {\n\t\t\tif (makeWidget) {\n\t\t\t\tptr = text.indexOf(attr.value, ptr);\n\t\t\t\tvar quotedValue = utils.wrapAttributeValue(attr.value);\n\t\t\t\tbuilder.add(\"tooltip=\"+quotedValue, ptr, ptr+attr.value.length);\n\t\t\t}\n\t\t} else {\n\t\t\tptr = relinkAttribute(this.parser, attr, builder, fromTitle, toTitle, options);\n\t\t}\n\t}\n\tthis.parser.pos = ptr;\n\tif (builder.changed() || builder.impossible) {\n\t\timageEntry = {\n\t\t\toutput: builder.results(ptr),\n\t\t\timpossible: builder.impossible };\n\t}\n\treturn imageEntry;\n};\n\nfunction reportAttribute(parser, attribute, callback, options) {\n\tvar text = parser.source;\n\tvar ptr = text.indexOf(attribute.name, attribute.start);\n\tvar end;\n\tptr += attribute.name.length;\n\tptr = text.indexOf('=', ptr);\n\tif (attribute.type === \"string\") {\n\t\tptr = text.indexOf(attribute.value, ptr)\n\t\tvar quote = utils.determineQuote(text, attribute);\n\t\t// ignore first quote. We already passed it\n\t\tend = ptr + quote.length + attribute.value.length;\n\t} else if (attribute.type === \"indirect\") {\n\t\tptr = text.indexOf('{{', ptr);\n\t\tvar end = ptr + attribute.textReference.length + 4;\n\t\trefHandler.report(attribute.textReference, function(title, blurb) {\n\t\t\tcallback(title, '[img ' + attribute.name + '={{' + (blurb || '') + '}}]');\n\t\t}, options);\n\t} else if (attribute.type === \"filtered\") {\n\t\tptr = text.indexOf('{{{', ptr);\n\t\tvar end = ptr + attribute.filter.length + 6;\n\t\tfilterHandler.report(attribute.filter, function(title, blurb) {\n\t\t\tcallback(title, '[img ' + attribute.name + '={{{' + blurb + '}}}]');\n\t\t}, options);\n\t} else if (attribute.type === \"macro\") {\n\t\tptr = text.indexOf(\"<<\", ptr);\n\t\tvar end = attribute.value.end;\n\t\tvar macro = attribute.value;\n\t\toldValue = attribute.value;\n\t\tmacrocall.reportAttribute(parser, macro, function(title, blurb) {\n\t\t\tcallback(title, '[img ' + attribute.name + '=' + blurb + ']');\n\t\t}, options);\n\t}\n\treturn end;\n};\n\nfunction relinkAttribute(parser, attribute, builder, fromTitle, toTitle, options) {\n\tvar text = builder.text;\n\tvar ptr = text.indexOf(attribute.name, attribute.start);\n\tvar end;\n\tptr += attribute.name.length;\n\tptr = text.indexOf('=', ptr);\n\tif (attribute.type === \"string\") {\n\t\tptr = text.indexOf(attribute.value, ptr)\n\t\tvar quote = utils.determineQuote(text, attribute);\n\t\t// ignore first quote. We already passed it\n\t\tend = ptr + quote.length + attribute.value.length;\n\t} else if (attribute.type === \"indirect\") {\n\t\tptr = text.indexOf('{{', ptr);\n\t\tvar end = ptr + attribute.textReference.length + 4;\n\t\tvar ref = refHandler.relinkInBraces(attribute.textReference, fromTitle, toTitle, options);\n\t\tif (ref) {\n\t\t\tif (ref.impossible) {\n\t\t\t\tbuilder.impossible = true;\n\t\t\t}\n\t\t\tif (ref.output) {\n\t\t\t\tbuilder.add(\"{{\"+ref.output+\"}}\", ptr, end);\n\t\t\t}\n\t\t}\n\t} else if (attribute.type === \"filtered\") {\n\t\tptr = text.indexOf('{{{', ptr);\n\t\tvar end = ptr + attribute.filter.length + 6;\n\t\tvar filter = filterHandler.relinkInBraces(attribute.filter, fromTitle, toTitle, options);\n\t\tif (filter !== undefined) {\n\t\t\tif (filter.impossible) {\n\t\t\t\tbuilder.impossible = true;\n\t\t\t}\n\t\t\tif (filter.output) {\n\t\t\t\tvar quoted = \"{{{\"+filter.output+\"}}}\";\n\t\t\t\tbuilder.add(quoted, ptr, end);\n\t\t\t}\n\t\t}\n\t} else if (attribute.type === \"macro\") {\n\t\tptr = text.indexOf(\"<<\", ptr);\n\t\tvar end = attribute.value.end;\n\t\tvar macro = attribute.value;\n\t\toldValue = attribute.value;\n\t\tvar macroEntry = macrocall.relinkAttribute(parser, macro, text, fromTitle, toTitle, options);\n\t\tif (macroEntry !== undefined) {\n\t\t\tif (macroEntry.impossible) {\n\t\t\t\tbuilder.impossible = true;\n\t\t\t}\n\t\t\tif (macroEntry.output) {\n\t\t\t\tbuilder.add(macroEntry.output, ptr, end);\n\t\t\t}\n\t\t}\n\t}\n\treturn end;\n};\n\nfunction canBePretty(title, tooltip) {\n\treturn title.indexOf(']') < 0 && (tooltip || title.indexOf('|') < 0);\n};\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/image.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/import.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles import pragmas\n\n\\import [tag[MyTiddler]]\n\\*/\n\nvar utils = require(\"$:/plugins/flibbles/relink/js/utils.js\");\nvar filterRelinker = utils.getType('filter');\nvar ImportContext = utils.getContext('import');\n\nexports.name = \"import\";\n\nexports.report = function(text, callback, options) {\n\t// This moves the pos for us\n\tvar parseTree = this.parse();\n\tvar filter = parseTree[0].attributes.filter.value || '';\n\tfilterRelinker.report(filter, function(title, blurb) {\n\t\tif (blurb) {\n\t\t\tblurb = '\\\\import ' + blurb;\n\t\t} else {\n\t\t\tblurb = '\\\\import';\n\t\t}\n\t\tcallback(title, blurb);\n\t}, options);\n\t// Before we go, we need to actually import the variables\n\t// it's calling for, and any /relink pragma\n\tthis.parser.context = new ImportContext(options.wiki, this.parser.context, filter);\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\t// In this one case, I'll let the parser parse out the filter and move\n\t// the ptr.\n\tvar start = this.matchRegExp.lastIndex,\n\t\tparseTree = this.parse(),\n\t\tfilter = parseTree[0].attributes.filter.value || '',\n\t\tentry = filterRelinker.relink(filter, fromTitle, toTitle, options);\n\tif (entry !== undefined && entry.output) {\n\t\tvar newline = text.substring(start+filter.length, this.parser.pos);\n\t\tfilter = entry.output;\n\t\tentry.output = \"\\\\import \" + filter + newline;\n\t}\n\n\t// Before we go, we need to actually import the variables\n\t// it's calling for, and any /relink pragma\n\tthis.parser.context = new ImportContext(options.wiki, this.parser.context, filter);\n\n\treturn entry;\n};\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/import.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/macrocall.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles macro calls.\n\n<<myMacro '[[MyFilter]]' 'myTitle'>>\n\n\\*/\n\nvar utils = require(\"./utils.js\");\nvar Rebuilder = require(\"$:/plugins/flibbles/relink/js/utils/rebuilder\");\nvar EntryNode = require('$:/plugins/flibbles/relink/js/utils/entry');\n\nexports.name = [\"macrocallinline\", \"macrocallblock\"];\n\n// Error thrown when a macro's definition is needed, but can't be found.\nfunction CannotFindMacroDef() {};\nCannotFindMacroDef.prototype.impossible = true;\nCannotFindMacroDef.prototype.name = \"macroparam\";\n// Failed relinks due to missing definitions aren't reported for now.\n// I may want to do something special later on.\nCannotFindMacroDef.prototype.report = function() { return []; };\n\nexports.report = function(text, callback, options) {\n\tvar macroInfo = getInfoFromRule(this);\n\tthis.parser.pos = macroInfo.end;\n\tthis.reportAttribute(this.parser, macroInfo, callback, options);\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tvar macroInfo = getInfoFromRule(this);\n\tvar managedMacro = this.parser.context.getMacro(macroInfo.name);\n\tthis.parser.pos = macroInfo.end;\n\tif (!managedMacro) {\n\t\t// We don't manage this macro. Bye.\n\t\treturn undefined;\n\t}\n\tvar mayBeWidget = this.parser.context.allowWidgets();\n\tvar names = getParamNames(this.parser, macroInfo.name, macroInfo.params, options);\n\tif (names === undefined) {\n\t\t// Needed the definition, and couldn't find it. So if a single\n\t\t// parameter needs to placeholder, just fail.\n\t\tmayBeWidget = false;\n\t}\n\tvar entry = relinkMacroInvocation(this.parser, macroInfo, text, fromTitle, toTitle, mayBeWidget, options);\n\tif (entry && entry.output) {\n\t\tentry.output = macroToString(entry.output, text, names, options);\n\t}\n\treturn entry;\n};\n\n/** Relinks macros that occur as attributes, like <$element attr=<<...>> />\n *  Processes the same, except it can't downgrade into a widget if the title\n *  is complicated.\n */\nexports.relinkAttribute = function(parser, macro, text, fromTitle, toTitle, options) {\n\tvar entry = relinkMacroInvocation(parser, macro, text, fromTitle, toTitle, false, options);\n\tif (entry && entry.output) {\n\t\tentry.output = macroToStringMacro(entry.output, text, options);\n\t}\n\treturn entry;\n};\n\n/** As in, report a macrocall invocation that is an html attribute. */\nexports.reportAttribute = function(parser, macro, callback, options) {\n\tvar managedMacro = parser.context.getMacro(macro.name);\n\tif (!managedMacro) {\n\t\t// We don't manage this macro. Bye.\n\t\treturn undefined;\n\t}\n\tfor (var managedArg in managedMacro) {\n\t\tvar index;\n\t\ttry {\n\t\t\tindex = getParamIndexWithinMacrocall(parser, macro.name, managedArg, macro.params, options);\n\t\t} catch (e) {\n\t\t\tcontinue;\n\t\t}\n\t\tif (index < 0) {\n\t\t\t// The argument was not supplied. Move on to next.\n\t\t\tcontinue;\n\t\t}\n\t\tvar param = macro.params[index];\n\t\tvar handler = managedMacro[managedArg];\n\t\tvar nestedOptions = Object.create(options);\n\t\tnestedOptions.settings = parser.context;\n\t\tvar entry = handler.report(param.value, function(title, blurb) {\n\t\t\tvar rtn = managedArg;\n\t\t\tif (blurb) {\n\t\t\t\trtn += ': \"' + blurb + '\"';\n\t\t\t}\n\t\t\tcallback(title, '<<' + macro.name + ' ' + rtn + '>>');\n\t\t}, nestedOptions);\n\t}\n};\n\n/**Processes the given macro,\n * macro: {name:, params:, start:, end:}\n * each parameters: {name:, end:, value:}\n * Macro invocation returned is the same, but relinked, and may have new keys:\n * parameters: {type: macro, start:, newValue: (quoted replacement value)}\n * Output of the returned entry isn't a string, but a macro object. It needs\n * to be converted.\n */\nfunction relinkMacroInvocation(parser, macro, text, fromTitle, toTitle, mayBeWidget, options) {\n\tvar managedMacro = parser.context.getMacro(macro.name);\n\tvar modified = false;\n\tif (!managedMacro) {\n\t\t// We don't manage this macro. Bye.\n\t\treturn undefined;\n\t}\n\tvar outMacro = $tw.utils.extend({}, macro);\n\tvar macroEntry = {};\n\toutMacro.params = macro.params.slice();\n\tfor (var managedArg in managedMacro) {\n\t\tvar index;\n\t\ttry {\n\t\t\tindex = getParamIndexWithinMacrocall(parser, macro.name, managedArg, macro.params, options);\n\t\t} catch (e) {\n\t\t\tif (e instanceof CannotFindMacroDef) {\n\t\t\t\tmacroEntry.impossible = true;\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t}\n\t\tif (index < 0) {\n\t\t\t// this arg either was not supplied, or we can't find\n\t\t\t// the definition, so we can't tie it to an anonymous\n\t\t\t// argument. Either way, move on to the next.\n\t\t\tcontinue;\n\t\t}\n\t\tvar param = macro.params[index];\n\t\tvar handler = managedMacro[managedArg];\n\t\tvar nestedOptions = Object.create(options);\n\t\tnestedOptions.settings = parser.context;\n\t\tvar entry = handler.relink(param.value, fromTitle, toTitle, nestedOptions);\n\t\tif (entry === undefined) {\n\t\t\tcontinue;\n\t\t}\n\t\t// Macro parameters can only be string parameters, not\n\t\t// indirect, or macro, or filtered\n\t\tif (entry.impossible) {\n\t\t\tmacroEntry.impossible = true;\n\t\t}\n\t\tif (!entry.output) {\n\t\t\tcontinue;\n\t\t}\n\t\tvar quote = utils.determineQuote(text, param);\n\t\tvar quoted = utils.wrapParameterValue(entry.output, quote);\n\t\tvar newParam = $tw.utils.extend({}, param);\n\t\tif (quoted === undefined) {\n\t\t\tif (!mayBeWidget || !options.placeholder) {\n\t\t\t\tmacroEntry.impossible = true;\n\t\t\t\tcontinue;\n\t\t\t}\n\t\t\tvar ph = options.placeholder.getPlaceholderFor(entry.output,handler.name);\n\t\t\tnewParam.newValue = \"<<\"+ph+\">>\";\n\t\t\tnewParam.type = \"macro\";\n\t\t} else {\n\t\t\tnewParam.start = newParam.end - (newParam.value.length + (quote.length*2));\n\t\t\tnewParam.value = entry.output;\n\t\t\tnewParam.newValue = quoted;\n\t\t}\n\t\toutMacro.params[index] = newParam;\n\t\tmodified = true;\n\t}\n\tif (modified || macroEntry.impossible) {\n\t\tif (modified) {\n\t\t\tmacroEntry.output = outMacro;\n\t\t}\n\t\treturn macroEntry;\n\t}\n\treturn undefined;\n};\n\nfunction getInfoFromRule(rule) {\n\t// Get all the details of the match\n\tvar macroInfo = rule.nextCall;\n\tif (!macroInfo) {\n\t\t//  rule.match is used <v5.1.24\n\t\tvar match = rule.match,\n\t\t\toffset = $tw.utils.skipWhiteSpace(match[0], match[1].length+2);\n\t\tmacroInfo = {\n\t\t\tname: match[1],\n\t\t\tstart: rule.matchRegExp.lastIndex - match[0].length,\n\t\t\tend: rule.matchRegExp.lastIndex,\n\t\t};\n\t\tmacroInfo.params = parseParams(match[2], offset+macroInfo.start);\n\t}\n\treturn macroInfo;\n};\n\nfunction mustBeAWidget(macro) {\n\tfor (var i = 0; i < macro.params.length; i++) {\n\t\tif (macro.params[i].type === \"macro\") {\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false\n};\n\n/**Given a macro object ({name:, params:, start: end:}), and the text where\n * it was parsed from, returns a new macro that maintains any syntactic\n * structuring.\n */\nfunction macroToString(macro, text, names, options) {\n\tif (mustBeAWidget(macro)) {\n\t\tvar attrs = [];\n\t\tfor (var i = 0; i < macro.params.length; i++) {\n\t\t\tvar p = macro.params[i];\n\t\t\tvar val;\n\t\t\tif (p.newValue) {\n\t\t\t\tval = p.newValue;\n\t\t\t} else {\n\t\t\t\tval = utils.wrapAttributeValue(p.value);\n\t\t\t}\n\t\t\tattrs.push(\" \"+names[i]+\"=\"+val);\n\t\t}\n\t\treturn \"<$macrocall $name=\"+utils.wrapAttributeValue(macro.name)+attrs.join('')+\"/>\";\n\t} else {\n\t\treturn macroToStringMacro(macro, text, options);\n\t}\n};\n\nfunction macroToStringMacro(macro, text, options) {\n\tvar builder = new Rebuilder(text, macro.start);\n\tfor (var i = 0; i < macro.params.length; i++) {\n\t\tvar param = macro.params[i];\n\t\tif (param.newValue) {\n\t\t\tbuilder.add(param.newValue, param.start, param.end);\n\t\t}\n\t}\n\treturn builder.results(macro.end);\n};\n\n/** Returns -1 if param definitely isn't in macrocall.\n */\nfunction getParamIndexWithinMacrocall(parser, macroName, param, params, options) {\n\tvar index, i, anonsExist = false;\n\tfor (i = 0; i < params.length; i++) {\n\t\tvar name = params[i].name;\n\t\tif (name === param) {\n\t\t\treturn i;\n\t\t}\n\t\tif (name === undefined) {\n\t\t\tanonsExist = true;\n\t\t}\n\t}\n\tif (!anonsExist) {\n\t\t// If no anonymous parameters are present, and we didn't find\n\t\t// it among the named ones, it must not be there.\n\t\treturn -1;\n\t}\n\tvar expectedIndex = indexOfParameterDef(parser, macroName, param, options);\n\t// We've got to skip over all the named parameter instances.\n\tif (expectedIndex >= 0) {\n\t\tvar anonI = 0;\n\t\tfor (i = 0; i < params.length; i++) {\n\t\t\tif (params[i].name === undefined) {\n\t\t\t\tif (anonI === expectedIndex) {\n\t\t\t\t\treturn i;\n\t\t\t\t}\n\t\t\t\tanonI++;\n\t\t\t} else {\n\t\t\t\tvar indexOfOther = indexOfParameterDef(parser, macroName, params[i].name, options);\n\t\t\t\tif (indexOfOther < expectedIndex) {\n\t\t\t\t\tanonI++;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treturn -1;\n};\n\n// Looks up the definition of a macro, and figures out what the expected index\n// is for the given parameter.\nfunction indexOfParameterDef(parser, macroName, paramName, options) {\n\tvar def = parser.context.getMacroDefinition(macroName);\n\tif (def === undefined) {\n\t\tthrow new CannotFindMacroDef();\n\t}\n\tvar params = def.params || [];\n\tfor (var i = 0; i < params.length; i++) {\n\t\tif (params[i].name === paramName) {\n\t\t\treturn i;\n\t\t}\n\t}\n\treturn -1;\n};\n\nfunction getParamNames(parser, macroName, params, options) {\n\tvar used = Object.create(null);\n\tvar rtn = new Array(params.length);\n\tvar anonsExist = false;\n\tvar i;\n\tfor (i = 0; i < params.length; i++) {\n\t\tvar name = params[i].name;\n\t\tif (name) {\n\t\t\trtn[i] = name;\n\t\t\tused[name] = true;\n\t\t} else {\n\t\t\tanonsExist = true;\n\t\t}\n\t}\n\tif (anonsExist) {\n\t\tvar def = parser.context.getMacroDefinition(macroName);\n\t\tif (def === undefined) {\n\t\t\t// If there are anonymous parameters, and we can't\n\t\t\t// find the definition, then we can't hope to create\n\t\t\t// a widget.\n\t\t\treturn undefined;\n\t\t}\n\t\tvar defParams = def.params || [];\n\t\tvar defPtr = 0;\n\t\tfor (i = 0; i < params.length; i++) {\n\t\t\tif (rtn[i] === undefined) {\n\t\t\t\twhile(defPtr < defParams.length && used[defParams[defPtr].name]) {\n\t\t\t\t\tdefPtr++;\n\t\t\t\t}\n\t\t\t\tif (defPtr >= defParams.length) {\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\trtn[i] = defParams[defPtr].name;\n\t\t\t\tused[defParams[defPtr].name] = true;\n\t\t\t}\n\t\t}\n\t}\n\treturn rtn;\n};\n\nfunction parseParams(paramString, pos) {\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = { };\n\t\t// We need to find the group match that isn't undefined.\n\t\tfor (var i = 2; i <= 6; i++) {\n\t\t\tif (paramMatch[i] !== undefined) {\n\t\t\t\tparamInfo.value = paramMatch[i];\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\t//paramInfo.start = pos;\n\t\tparamInfo.end = reParam.lastIndex + pos;\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn params;\n};\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/macrocall.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/macrodef.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles pragma macro definitions. Except we only update placeholder macros\nthat we may have previously install.\n\n\\define relink-?() Tough title\n\n\\*/\n\nvar utils = require(\"$:/plugins/flibbles/relink/js/utils\");\nvar VariableContext = utils.getContext('variable');\n\nexports.name = \"macrodef\";\n\nexports.report = function(text, callback, options) {\n\tvar setParseTreeNode = this.parse(),\n\t\tm = this.match,\n\t\tname = m[1];\n\tthis.parser.context = new VariableContext(this.parser.context, setParseTreeNode[0]);\n\t// Parse set the pos pointer, but we don't want to skip the macro body.\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar endMatch = getBodyMatch(text, this.parser.pos, m[3]);\n\tif (endMatch) {\n\t\tvar value = endMatch[2],\n\t\t\thandler = utils.getType(getActiveType(name, m[2]) || 'wikitext');\n\t\tif (handler) {\n\t\t\tvar entry = handler.report(value, function(title, blurb) {\n\t\t\t\tvar macroStr = '\\\\define ' + name + '()';\n\t\t\t\tif (blurb) {\n\t\t\t\t\tmacroStr += ' ' + blurb;\n\t\t\t\t}\n\t\t\t\tcallback(title, macroStr);\n\t\t\t}, options);\n\t\t}\n\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t}\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tvar setParseTreeNode = this.parse(),\n\t\tentry,\n\t\tm = this.match,\n\t\tname = m[1],\n\t\tparams = m[2],\n\t\tmultiline = m[3];\n\tthis.parser.context = new VariableContext(this.parser.context, setParseTreeNode[0]);\n\t// Parse set the pos pointer, but we don't want to skip the macro body.\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar endMatch = getBodyMatch(text, this.parser.pos, multiline);\n\tif (endMatch) {\n\t\tvar value = endMatch[2],\n\t\t\ttype = getActiveType(name, params),\n\t\t\thandler = utils.getType(type || 'wikitext');\n\t\tif (handler) {\n\t\t\t// If this is an active relink placeholder, then let's remember it\n\t\t\tif (type && options.placeholder) {\n\t\t\t\toptions.placeholder.registerExisting(name, value);\n\t\t\t}\n\t\t\t// Relink the contents\n\t\t\tentry = handler.relink(value, fromTitle, toTitle, options);\n\t\t\tif (entry && entry.output) {\n\t\t\t\tentry.output = m[0] + endMatch[1] + entry.output + endMatch[0];\n\t\t\t}\n\t\t}\n\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t}\n\treturn entry;\n};\n\n// Return another match for the body, but tooled uniquely\n// m[1] = whitespace before body\n// m[2] = body\n// m.index + m[0].length -> end of match\nfunction getBodyMatch(text, pos, isMultiline) {\n\tvar whitespace,\n\t\tvalueRegExp;\n\tif (isMultiline) {\n\t\tvalueRegExp = /\\r?\\n\\\\end[^\\S\\n\\r]*(?:\\r?\\n|$)/mg;\n\t\twhitespace = '';\n\t} else {\n\t\tvalueRegExp = /(?:\\r?\\n|$)/mg;\n\t\tvar newPos = $tw.utils.skipWhiteSpace(text, pos);\n\t\twhitespace = text.substring(pos, newPos);\n\t\tpos = newPos;\n\t}\n\tvalueRegExp.lastIndex = pos;\n\tvar match = valueRegExp.exec(text);\n\tif (match) {\n\t\tmatch[1] = whitespace;\n\t\tmatch[2] = text.substring(pos, match.index);\n\t}\n\treturn match;\n};\n\nfunction getActiveType(macroName, parameters) {\n\tvar placeholder = /^relink-(?:(\\w+)-)?\\d+$/.exec(macroName);\n\t// normal macro or special placeholder?\n\tif (placeholder && parameters === '') {\n\t\treturn placeholder[1] || 'title';\n\t}\n\treturn undefined;\n};\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/macrodef.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/prettylink.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles replacement in wiki text inline rules, like,\n\n[[Introduction]]\n\n[[link description|TiddlerTitle]]\n\n\\*/\n\nvar utils = require(\"./utils.js\");\n\nexports.name = \"prettylink\";\n\nexports.report = function(text, callback, options) {\n\tvar text = this.match[1],\n\t\tlink = this.match[2] || text;\n\tif (!$tw.utils.isLinkExternal(link)) {\n\t\tcallback(link, '[[' + text + ']]');\n\t}\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar caption, m = this.match;\n\tif (m[2] === fromTitle) {\n\t\t// format is [[caption|MyTiddler]]\n\t\tcaption = m[1];\n\t} else if (m[2] !== undefined || m[1] !== fromTitle) {\n\t\t// format is [[MyTiddler]], and it doesn't match\n\t\treturn undefined;\n\t}\n\tvar entry = { output: utils.makePrettylink(this.parser, toTitle, caption) };\n\tif (entry.output === undefined) {\n\t\tentry.impossible = true;\n\t}\n\treturn entry;\n};\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/prettylink.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/relink.js": {
            "text": "/*\\\nmodule-type: wikirule\n\nThis defines the \\relink inline pragma used to locally declare\nrelink rules for macros.\n\nIt takes care of providing its own relink and report rules.\n\n\\*/\n\nvar utils = require('$:/plugins/flibbles/relink/js/utils.js');\nvar language = require('$:/plugins/flibbles/relink/js/language.js');\n\nexports.name = \"relink\";\nexports.types = {pragma: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /^\\\\relink[^\\S\\n]+([^(\\s]+)([^\\r\\n]*)(\\r?\\n)?/mg;\n};\n\n/**This makes the widget that the macro library will later parse to determine\n * new macro relink state.\n *\n * It's a <$set> widget so it can appear BEFORE \\define pragma and not\n * prevent that pragma from being scooped up by importvariables.\n * (importvariables stops scooping as soon as it sees something besides $set) */\nexports.parse = function() {\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar macroName;\n\tvar macroParams = Object.create(null);\n\tvar error = undefined;\n\tvar rtn = [];\n\tvar self = this;\n\tthis.interpretSettings(function(macro, parameter, type) {\n\t\tmacroName = macro;\n\t\tif (type && !utils.getType(type)) {\n\t\t\terror = language.getString(\"Error/UnrecognizedType\",\n\t\t\t\t{variables: {type: type}, wiki: self.parser.wiki});\n\t\t}\n\t\tmacroParams[parameter] = type;\n\t});\n\t// If no macroname. Return nothing, this rule will be ignored by parsers\n\tif (macroName) {\n\t\tvar relink = Object.create(null);\n\t\trelink[macroName] = macroParams;\n\t\trtn.push({\n\t\t\ttype: \"set\",\n\t\t\tattributes: {\n\t\t\t\tname: {type: \"string\", value: \"\"}\n\t\t\t},\n\t\t\tchildren: [],\n\t\t\tisMacroDefinition: true,\n\t\t\trelink: relink});\n\t}\n\tif (error) {\n\t\trtn.push({\n\t\t\ttype: \"element\", tag: \"span\", attributes: {\n\t\t\t\t\"class\": {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: \"tc-error tc-relink-error\"\n\t\t\t\t}\n\t\t\t}, children: [\n\t\t\t\t{type: \"text\", text: error}\n\t\t\t]});\n\t}\n\treturn rtn;\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tvar parser = this.parser;\n\tvar currentTiddler = parser.context.widget.variables.currentTiddler.value;\n\tparser.pos = this.matchRegExp.lastIndex;\n\tthis.interpretSettings(function(macro, parameter, type) {\n\t\toptions.settings.addSetting(parser.wiki, macro, parameter, type, currentTiddler);\n\t});\n\t// Return nothing, because this rule is ignored by the parser\n\treturn undefined;\n};\n\nexports.interpretSettings = function(block) {\n\tvar paramString = this.match[2];\n\tif (paramString !== \"\") {\n\t\tvar macro = this.match[1];\n\t\tvar reParam = /\\s*([A-Za-z0-9\\-_]+)(?:\\s*:\\s*([^\\s]+))?/mg;\n\t\tvar paramMatch = reParam.exec(paramString);\n\t\twhile (paramMatch) {\n\t\t\tvar parameter = paramMatch[1];\n\t\t\tvar type = paramMatch[2];\n\t\t\tblock(macro, parameter, type);\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\t}\n\t}\n};\n",
            "module-type": "wikirule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/relink.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/rules.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nParses and acknowledges any pragma rules a tiddler has.\n\n\\rules except html wikilink\n\n\\*/\n\nexports.name = \"rules\";\n\n/**This is all we have to do. The rules rule doesn't parse. It just amends\n * the rules, which is exactly what I want it to do too.\n * It also takes care of moving the pos pointer forward.\n */\nexports.relink = function() {\n\tthis.parse();\n\treturn undefined;\n};\n\n// Same deal\nexports.report = exports.relink;\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/rules.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/syslink.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles sys links\n\n$:/sys/link\n\nbut not:\n\n~$:/sys/link\n\n\\*/\n\nvar utils = require(\"./utils.js\");\n\nexports.name = \"syslink\";\n\nexports.report = function(text, callback, options) {\n\tvar title = this.match[0];\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tif (title[0] !== \"~\") {\n\t\tcallback(title, '~' + title);\n\t}\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tvar entry = undefined;\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tif (this.match[0] === fromTitle && this.match[0][0] !== \"~\") {\n\t\tentry = {output: this.makeSyslink(toTitle, options)};\n\t\tif (entry.output === undefined) {\n\t\t\tentry.impossible = true;\n\t\t}\n\t}\n\treturn entry;\n};\n\nexports.makeSyslink = function(title, options) {\n\tvar match = title.match(this.matchRegExp);\n\tif (match && match[0] === title && title[0] !== \"~\") {\n\t\treturn title;\n\t} else {\n\t\treturn utils.makePrettylink(this.parser, title);\n\t}\n};\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/syslink.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/transclude.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles replacement of transclusions in wiki text like,\n\n{{RenamedTiddler}}\n{{RenamedTiddler||TemplateTitle}}\n\nThis renames both the tiddler and the template field.\n\n\\*/\n\nvar refHandler = require(\"$:/plugins/flibbles/relink/js/fieldtypes/reference\");\nvar utils = require(\"./utils.js\");\n\nexports.name = ['transcludeinline', 'transcludeblock'];\n\nexports.report = function(text, callback, options) {\n\tvar m = this.match,\n\t\trefString = $tw.utils.trim(m[1]),\n\t\tref = parseTextReference(refString);\n\t\ttemplate = $tw.utils.trim(m[2]);\n\tif (ref.title) {\n\t\tvar suffix = '';\n\t\tif (ref.index) {\n\t\t\tsuffix = '##' + ref.index;\n\t\t} else if (ref.field) {\n\t\t\tsuffix = '!!' + ref.field;\n\t\t}\n\t\tif (template) {\n\t\t\tsuffix = suffix + '||' + template;\n\t\t}\n\t\tcallback(ref.title, '{{' + suffix + '}}')\n\t}\n\tif (template) {\n\t\tcallback(template, '{{' + refString + '||}}');\n\t}\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tvar m = this.match,\n\t\treference = parseTextReference(m[1]),\n\t\ttemplate = m[2],\n\t\tentry = undefined,\n\t\tmodified = false;\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tif ($tw.utils.trim(reference.title) === fromTitle) {\n\t\t// preserve user's whitespace\n\t\treference.title = reference.title.replace(fromTitle, toTitle);\n\t\tmodified = true;\n\t}\n\tif ($tw.utils.trim(template) === fromTitle) {\n\t\ttemplate = template.replace(fromTitle, toTitle);\n\t\tmodified = true;\n\t}\n\tif (modified) {\n\t\tvar output = this.makeTransclude(this.parser, reference, template);\n\t\tif (output) {\n\t\t\t// Adding any newline that might have existed is\n\t\t\t// what allows this relink method to work for both\n\t\t\t// the block and inline filter wikitext rule.\n\t\t\tentry = {output: output + utils.getEndingNewline(m[0])};\n\t\t} else {\n\t\t\tentry = {impossible: true}\n\t\t}\n\t}\n\treturn entry;\n};\n\n// I have my own because the core one is deficient for my needs.\nfunction parseTextReference(textRef) {\n\t// Separate out the title, field name and/or JSON indices\n\tvar reTextRef = /^([\\w\\W]*?)(?:!!(\\S[\\w\\W]*)|##(\\S[\\w\\W]*))?$/g;\n\t\tmatch = reTextRef.exec(textRef),\n\t\tresult = {};\n\tif(match) {\n\t\t// Return the parts\n\t\tresult.title = match[1];\n\t\tresult.field = match[2];\n\t\tresult.index = match[3];\n\t} else {\n\t\t// If we couldn't parse it\n\t\tresult.title = textRef\n\t}\n\treturn result;\n};\n\n/** This converts a reference and a template into a string representation\n *  of a transclude.\n */\nexports.makeTransclude = function(parser, reference, template) {\n\tvar rtn;\n\tif (!canBePrettyTemplate(template)) {\n\t\tvar widget = utils.makeWidget(parser, '$transclude', {\n\t\t\ttiddler: $tw.utils.trim(template),\n\t\t\tfield: reference.field,\n\t\t\tindex: reference.index});\n\t\tif (reference.title && widget !== undefined) {\n\t\t\trtn = utils.makeWidget(parser, '$tiddler', {tiddler: $tw.utils.trim(reference.title)}, widget);\n\t\t} else {\n\t\t\trtn = widget;\n\t\t}\n\t} else if (!canBePrettyTitle(reference.title)) {\n\t\t// This block and the next account for the 1%...\n\t\tvar reducedRef = {field: reference.field, index: reference.index};\n\t\trtn = utils.makeWidget(parser, '$tiddler', {tiddler: $tw.utils.trim(reference.title)}, prettyTransclude(reducedRef, template));\n\t} else {\n\t\t// This block takes care of 99% of all cases\n\t\trtn = prettyTransclude(reference, template);\n\t}\n\treturn rtn;\n};\n\nfunction canBePrettyTitle(value) {\n\treturn refHandler.canBePretty(value) && canBePrettyTemplate(value);\n};\n\nfunction canBePrettyTemplate(value) {\n\treturn !value || (value.indexOf('}') < 0 && value.indexOf('{') < 0 && value.indexOf('|') < 0);\n};\n\nfunction prettyTransclude(textReference, template) {\n\tif (typeof textReference !== \"string\") {\n\t\ttextReference = refHandler.toString(textReference);\n\t}\n\tif (!textReference) {\n\t\ttextReference = '';\n\t}\n\tif (template !== undefined) {\n\t\treturn \"{{\"+textReference+\"||\"+template+\"}}\";\n\t} else {\n\t\treturn \"{{\"+textReference+\"}}\";\n\t}\n};\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/transclude.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/utils.js": {
            "text": "/*\\\nmodule-type: library\n\nUtility methods for the wikitext relink rules.\n\n\\*/\n\nexports.makeWidget = function(parser, tag, attributes, body) {\n\tif (!parser.context.allowWidgets()) {\n\t\treturn undefined;\n\t}\n\tvar string = '<' + tag;\n\tfor (var attr in attributes) {\n\t\tvar value = attributes[attr];\n\t\tif (value !== undefined) {\n\t\t\tvar quoted = exports.wrapAttributeValue(value);\n\t\t\tif (!quoted) {\n\t\t\t\tif (!parser.options.placeholder) {\n\t\t\t\t\t// It's not possible to make this widget\n\t\t\t\t\treturn undefined;\n\t\t\t\t}\n\t\t\t\tvar category = getPlaceholderCategory(parser.context, tag, attr);\n\t\t\t\tquoted = '<<' + parser.placeholder.getPlaceholderFor(value, category) + '>>';\n\t\t\t}\n\t\t\tstring += ' ' + attr + '=' + quoted;\n\t\t}\n\t}\n\tif (body !== undefined) {\n\t\tstring += '>' + body + '</' + tag + '>';\n\t} else {\n\t\tstring += '/>';\n\t}\n\treturn string;\n};\n\nfunction getPlaceholderCategory(context, tag, attribute) {\n\tvar element = context.getAttribute(tag);\n\tvar rule = element && element[attribute];\n\t// titles go to relink-\\d\n\t// plaintext goes to relink-plaintext-\\d\n\t// because titles are way more common, also legacy\n\tif (rule === undefined) {\n\t\treturn 'plaintext';\n\t} else {\n\t\trule = rule.fields.text;\n\t\tif (rule === 'title') {\n\t\t\trule = undefined;\n\t\t}\n\t\treturn rule;\n\t}\n};\n\nexports.makePrettylink = function(parser, title, caption) {\n\tvar output;\n\tif (parser.context.allowPrettylinks() && canBePrettylink(title, caption)) {\n\t\tif (caption !== undefined) {\n\t\t\toutput = \"[[\" + caption + \"|\" + title + \"]]\";\n\t\t} else {\n\t\t\toutput = \"[[\" + title + \"]]\";\n\t\t}\n\t} else if (caption !== undefined) {\n\t\tvar safeCaption = sanitizeCaption(parser, caption);\n\t\tif (safeCaption !== undefined) {\n\t\t\toutput = exports.makeWidget(parser, '$link', {to: title}, safeCaption);\n\t\t}\n\t} else if (exports.shorthandPrettylinksSupported(parser.wiki)) {\n\t\toutput = exports.makeWidget(parser, '$link', {to: title});\n\t} else if (parser.context.allowWidgets() && parser.placeholder) {\n\t\t// If we don't have a caption, we must resort to\n\t\t// placeholders anyway to prevent link/caption desync\n\t\t// from later relinks.\n\t\t// It doesn't matter whether the tiddler is quotable.\n\t\tvar ph = parser.placeholder.getPlaceholderFor(title);\n\t\toutput = \"<$link to=<<\"+ph+\">>><$text text=<<\"+ph+\">>/></$link>\";\n\t}\n\treturn output;\n};\n\n/**In version 5.1.20, Tiddlywiki made it so <$link to\"something\" /> would\n * use \"something\" as a caption. This is preferable. However, Relink works\n * going back to 5.1.14, so we need to have different handling for both\n * cases.\n */\nvar _supported;\nexports.shorthandPrettylinksSupported = function(wiki) {\n\tif (_supported === undefined) {\n\t\tvar test = wiki.renderText(\"text/plain\", \"text/vnd.tiddlywiki\", \"<$link to=test/>\");\n\t\t_supported = (test === \"test\");\n\t}\n\treturn _supported;\n};\n\n/**Return true if value can be used inside a prettylink.\n */\nfunction canBePrettylink(value, customCaption) {\n\treturn value.indexOf(\"]]\") < 0 && value[value.length-1] !== ']' && (customCaption !== undefined || value.indexOf('|') < 0);\n};\n\nfunction sanitizeCaption(parser, caption) {\n\tvar plaintext = parser.wiki.renderText(\"text/plain\", \"text/vnd.tiddlywiki\", caption);\n\tif (plaintext === caption && caption.indexOf(\"</$link>\") <= 0) {\n\t\treturn caption;\n\t} else {\n\t\treturn exports.makeWidget(parser, '$text', {text: caption});\n\t}\n};\n\n/**Finds an appropriate quote mark for a given value.\n *\n *Tiddlywiki doesn't have escape characters for attribute values. Instead,\n * we just have to find the type of quotes that'll work for the given title.\n * There exist titles that simply can't be quoted.\n * If it can stick with the preference, it will.\n *\n * return: Returns the wrapped value, or undefined if it's impossible to wrap\n */\nexports.wrapAttributeValue = function(value, preference) {\n\tvar whitelist = [\"\", \"'\", '\"', '\"\"\"'];\n\tvar choices = {\n\t\t\"\": function(v) {return !/([\\/\\s<>\"'=])/.test(v) && v.length > 0; },\n\t\t\"'\": function(v) {return v.indexOf(\"'\") < 0; },\n\t\t'\"': function(v) {return v.indexOf('\"') < 0; },\n\t\t'\"\"\"': function(v) {return v.indexOf('\"\"\"') < 0 && v[v.length-1] != '\"';}\n\t};\n\tif (choices[preference] && choices[preference](value)) {\n\t\treturn wrap(value, preference);\n\t}\n\tfor (var i = 0; i < whitelist.length; i++) {\n\t\tvar quote = whitelist[i];\n\t\tif (choices[quote](value)) {\n\t\t\treturn wrap(value, quote);\n\t\t}\n\t}\n\t// No quotes will work on this\n\treturn undefined;\n};\n\n/**Like wrapAttribute value, except for macro parameters, not attributes.\n *\n * These are more permissive. Allows brackets,\n * and slashes and '<' in unquoted values.\n */\nexports.wrapParameterValue = function(value, preference) {\n\tvar whitelist = [\"\", \"'\", '\"', '[[', '\"\"\"'];\n\tvar choices = {\n\t\t\"\": function(v) {return !/([\\s>\"'=])/.test(v); },\n\t\t\"'\": function(v) {return v.indexOf(\"'\") < 0; },\n\t\t'\"': function(v) {return v.indexOf('\"') < 0; },\n\t\t\"[[\": canBePrettyOperand,\n\t\t'\"\"\"': function(v) {return v.indexOf('\"\"\"') < 0 && v[v.length-1] != '\"';}\n\t};\n\tif (choices[preference] && choices[preference](value)) {\n\t\treturn wrap(value, preference);\n\t}\n\tfor (var i = 0; i < whitelist.length; i++) {\n\t\tvar quote = whitelist[i];\n\t\tif (choices[quote](value)) {\n\t\t\treturn wrap(value, quote);\n\t\t}\n\t}\n\t// No quotes will work on this\n\treturn undefined;\n};\n\nfunction wrap(value, wrapper) {\n\tvar wrappers = {\n\t\t\"\": function(v) {return v; },\n\t\t\"'\": function(v) {return \"'\"+v+\"'\"; },\n\t\t'\"': function(v) {return '\"'+v+'\"'; },\n\t\t'\"\"\"': function(v) {return '\"\"\"'+v+'\"\"\"'; },\n\t\t\"[[\": function(v) {return \"[[\"+v+\"]]\"; }\n\t};\n\tvar chosen = wrappers[wrapper];\n\tif (chosen) {\n\t\treturn chosen(value);\n\t} else {\n\t\treturn undefined;\n\t}\n};\n\nfunction canBePrettyOperand(value) {\n\treturn value.indexOf(']') < 0;\n};\n\n/**Given some text, and a param or  attribute within that text, this returns\n * what type of quotation that attribute is using.\n *\n * param: An object in the form {end:, ...}\n */\nexports.determineQuote = function(text, param) {\n\tvar pos = param.end-1;\n\tif (text[pos] === \"'\") {\n\t\treturn \"'\";\n\t}\n\tif (text[pos] === '\"') {\n\t\tif (text.substr(pos-2, 3) === '\"\"\"') {\n\t\t\treturn '\"\"\"';\n\t\t} else {\n\t\t\treturn '\"';\n\t\t}\n\t}\n\tif (text.substr(pos-1,2) === ']]' && text.substr((pos-param.value.length)-3, 2) === '[[') {\n\t\treturn \"[[\";\n\t}\n\treturn '';\n};\n\n// Finds the newline at the end of a string and returns it. Empty string if\n// none exists.\nexports.getEndingNewline = function(string) {\n\tvar l = string.length;\n\tif (string[l-1] === '\\n') {\n\t\treturn (string[l-2] === '\\r') ? \"\\r\\n\" : \"\\n\";\n\t}\n\treturn \"\";\n};\n",
            "module-type": "library",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/utils.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/wikilink.js": {
            "text": "/*\\\nmodule-type: relinkwikitextrule\n\nHandles CamelCase links\n\nWikiLink\n\nbut not:\n\n~WikiLink\n\n\\*/\n\nvar utils = require(\"./utils.js\");\n\nexports.name = \"wikilink\";\n\nexports.report = function(text, callback, options) {\n\tvar title = this.match[0],\n\t\tunlink = $tw.config.textPrimitives.unWikiLink;\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tif (title[0] !== unlink) {\n\t\tcallback(title, unlink + title);\n\t}\n};\n\nexports.relink = function(text, fromTitle, toTitle, options) {\n\tvar entry = undefined,\n\t\ttitle = this.match[0];\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tif (title === fromTitle && title[0] !== $tw.config.textPrimitives.unWikiLink) {\n\t\tentry = { output: this.makeWikilink(toTitle, options) };\n\t\tif (entry.output === undefined) {\n\t\t\tentry.impossible = true;\n\t\t}\n\t}\n\treturn entry;\n};\n\nexports.makeWikilink = function(title, options) {\n\tif (title.match(this.matchRegExp) && title[0] !== $tw.config.textPrimitives.unWikiLink) {\n\t\treturn title;\n\t} else {\n\t\treturn utils.makePrettylink(this.parser, title);\n\t}\n};\n",
            "module-type": "relinkwikitextrule",
            "title": "$:/plugins/flibbles/relink/js/relinkoperations/text/wikitext/wikilink.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/contexts/context.js": {
            "text": "/*\\\n\nBase class for relink contexts.\n\n\\*/\n\nfunction Context() {\n};\n\nexports.context = Context;\n\n// This class does no special handling of fields, operators, or attributes.\n// we pass it along to the parent.\nContext.prototype.getFields = function() {\n\treturn this.parent.getFields();\n};\n\nContext.prototype.getOperator = function(name, index) {\n\treturn this.parent.getOperator(name, index);\n};\n\nContext.prototype.getOperators = function() {\n\treturn this.parent.getOperators();\n};\n\nContext.prototype.getAttribute = function(elementName) {\n\treturn this.parent.getAttribute(elementName);\n};\n\nContext.prototype.getAttributes = function() {\n\treturn this.parent.getAttributes();\n};\n\nContext.prototype.getMacro = function(macroName) {\n\treturn this.parent.getMacro(macroName);\n};\n\nContext.prototype.getMacros = function() {\n\treturn this.parent.getMacros();\n};\n\nContext.prototype.allowPrettylinks = function() {\n\treturn this.parent.allowPrettylinks();\n};\n\nContext.prototype.allowWidgets = function() {\n\treturn this.parent.allowWidgets();\n};\n\nContext.prototype.hasImports = function(value) {\n\treturn this.parent.hasImports(value);\n};\n",
            "module-type": "relinkcontext",
            "title": "$:/plugins/flibbles/relink/js/contexts/context.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/contexts/import.js": {
            "text": "/*\\\n\nThis handles the fetching and distribution of relink settings.\n\n\\*/\n\nvar WidgetContext = require('./widget').widget;\n\nfunction ImportContext(wiki, parent, filter) {\n\tthis.parent = parent;\n\tthis.wiki = wiki;\n\tvar importWidget = createImportWidget(filter, this.wiki, this.parent.widget);\n\tthis._compileList(importWidget.tiddlerList);\n\t// This only works if only one filter is imported\n\tthis.widget = this.getBottom(importWidget);\n\t// Trickle this up, so that any containing tiddlercontext knows that this\n\t// tiddler does some importing, and must be checked regularly.\n\tparent.hasImports(true);\n};\n\nexports.import = ImportContext;\n\nImportContext.prototype = new WidgetContext();\n\nImportContext.prototype.changed = function(changes) {\n\treturn this.widget && this.widget.refresh(changes)\n};\n\nfunction createImportWidget(filter, wiki, parent) {\n\tvar widget = wiki.makeWidget( { tree: [{\n\t\ttype: \"importvariables\",\n\t\tattributes: {\n\t\t\t\"filter\": {\n\t\t\t\ttype: \"string\",\n\t\t\t\tvalue: filter\n\t\t\t}\n\t\t}\n\t}] }, { parentWidget: parent} );\n\tif (parent) {\n\t\tparent.children.push(widget);\n\t}\n\twidget.execute();\n\twidget.renderChildren();\n\tvar importWidget = widget.children[0];\n\treturn importWidget;\n};\n\nImportContext.prototype._compileList = function(titleList) {\n\tfor (var i = 0; i < titleList.length; i++) {\n\t\tvar parser = this.wiki.parseTiddler(titleList[i]);\n\t\tif (parser) {\n\t\t\tvar parseTreeNode = parser.tree[0];\n\t\t\twhile (parseTreeNode && parseTreeNode.type === \"set\") {\n\t\t\t\tif (parseTreeNode.relink) {\n\t\t\t\t\tfor (var macroName in parseTreeNode.relink) {\n\t\t\t\t\t\tvar parameters = parseTreeNode.relink[macroName];\n\t\t\t\t\t\tfor (paramName in parameters) {\n\t\t\t\t\t\t\tthis.addSetting(this.wiki, macroName, paramName, parameters[paramName], titleList[i]);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tparseTreeNode = parseTreeNode.children && parseTreeNode.children[0];\n\t\t\t}\n\t\t}\n\t}\n};\n",
            "module-type": "relinkcontext",
            "title": "$:/plugins/flibbles/relink/js/contexts/import.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/contexts/tiddler.js": {
            "text": "/*\\\n\nContext for a tiddler. Defines nothing but makes an entry point to test if\na tiddler must be refreshed.\n\n\\*/\n\nvar WidgetContext = require('./widget.js').widget;\n\nfunction TiddlerContext(wiki, parentContext, title) {\n\tthis.title = title;\n\tthis.parent = parentContext;\n\tvar globalWidget = parentContext && parentContext.widget;\n\tvar parentWidget = wiki.makeWidget(null, {parentWidget: globalWidget});\n\tparentWidget.setVariable('currentTiddler', title);\n\tthis.widget = wiki.makeWidget(null, {parentWidget: parentWidget});\n};\n\nexports.tiddler = TiddlerContext;\n\nTiddlerContext.prototype = new WidgetContext();\n\nTiddlerContext.prototype.changed = function(changes) {\n\treturn this.widget && this.widget.refresh(changes);\n};\n\n// By default, a tiddler context does not use imports, unless an import\n// statement is later discovered somewhere in the fields.\nTiddlerContext.prototype.hasImports = function(value) {\n\treturn this._hasImports || (this._hasImports = value);\n};\n",
            "module-type": "relinkcontext",
            "title": "$:/plugins/flibbles/relink/js/contexts/tiddler.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/contexts/variable.js": {
            "text": "/*\\\n\nThis handles the context for variables. Either from $set, $vars, or \\define\n\n\\*/\n\nvar WidgetContext = require('./widget').widget;\n\nfunction VariableContext(parent, setParseTreeNode) {\n\tthis.parent = parent;\n\t// Now create a new widget and attach it.\n\tvar attachPoint = parent.widget;\n\tvar setWidget = attachPoint.makeChildWidget(setParseTreeNode);\n\tattachPoint.children.push(setWidget);\n\tsetWidget.computeAttributes();\n\tsetWidget.execute();\n\t// point our widget to bottom, where any other contexts would attach to\n\tthis.widget = this.getBottom(setWidget);\n};\n\nexports.variable = VariableContext;\n\nVariableContext.prototype = new WidgetContext();\n",
            "module-type": "relinkcontext",
            "title": "$:/plugins/flibbles/relink/js/contexts/variable.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/contexts/whitelist.js": {
            "text": "/*\\\n\nThis top-level context manages settings inside the whitelist. It never has\na parent.\n\n\\*/\n\nvar utils = require('../utils');\nvar Context = require('./context').context;\n\nvar prefix = \"$:/config/flibbles/relink/\";\n\nfunction WhitelistContext(wiki) {\n\tbuild(this, wiki);\n};\n\nexports.whitelist = WhitelistContext;\n\nWhitelistContext.prototype = new Context();\n\n/**Hot directories are directories for which if anything changes inside them,\n * then Relink must completely rebuild its index.\n * By default, this includes the whitelist settings, but relink-titles also\n * includes its rules disabling directory.\n * This is the FIRST solution I came up with to this problem. If you're\n * looking at this, please make a github issue so I have a chance to understand\n * your needs. This is currently a HACK solution.\n */\nWhitelistContext.hotDirectories = [prefix];\n\nWhitelistContext.prototype.getAttribute = function(elementName) {\n\treturn this.attributes[elementName];\n};\n\nWhitelistContext.prototype.getAttributes = function() {\n\treturn flatten(this.attributes);\n};\n\nWhitelistContext.prototype.getFields = function() {\n\treturn this.fields;\n};\n\nWhitelistContext.prototype.getOperator = function(operatorName, operandIndex) {\n\tvar op = this.operators[operatorName];\n\treturn op && op[operandIndex || 1];\n};\n\nWhitelistContext.prototype.getOperators = function() {\n\tvar signatures = Object.create(null);\n\tfor (var op in this.operators) {\n\t\tvar operandSet = this.operators[op];\n\t\tfor (var index in operandSet) {\n\t\t\tvar entry = operandSet[index];\n\t\t\tsignatures[entry.key] = entry;\n\t\t}\n\t}\n\treturn signatures;\n};\n\nWhitelistContext.prototype.getMacro = function(macroName) {\n\treturn this.macros[macroName];\n};\n\nWhitelistContext.prototype.getMacros = function() {\n\treturn flatten(this.macros);\n};\n\nWhitelistContext.prototype.changed = function(changedTiddlers) {\n\tfor (var i = 0; i < WhitelistContext.hotDirectories.length; i++) {\n\t\tvar dir = WhitelistContext.hotDirectories[i];\n\t\tfor (var title in changedTiddlers) {\n\t\t\tif (title.substr(0, dir.length) === dir) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\nWhitelistContext.prototype.hasImports = function(value) {\n\t// We don't care if imports are used. This is the global level.\n\treturn false;\n};\n\n/**Factories define methods that create settings given config tiddlers.\n * for factory method 'example', it will be called once for each:\n * \"$:/config/flibbles/relink/example/...\" tiddler that exists.\n * the argument \"key\" will be set to the contents of \"...\"\n *\n * The reason I build relink settings in this convoluted way is to minimize\n * the number of times tiddlywiki has to run through EVERY tiddler looking\n * for relink config tiddlers.\n *\n * Also, by exporting \"factories\", anyone who extends relink can patch in\n * their own factory methods to create settings that are generated exactly\n * once per rename.\n */\nvar factories = {\n\tattributes: function(attributes, data, key) {\n\t\tvar elem = root(key);\n\t\tvar attr = key.substr(elem.length+1);\n\t\tattributes[elem] = attributes[elem] || Object.create(null);\n\t\tattributes[elem][attr] = data;\n\t},\n\tfields: function(fields, data, name) {\n\t\tfields[name] = data;\n\t},\n\tmacros: function(macros, data, key) {\n\t\t// We take the last index, not the first, because macro\n\t\t// parameters can't have slashes, but macroNames can.\n\t\tvar name = dir(key);\n\t\tvar arg = key.substr(name.length+1);\n\t\tmacros[name] = macros[name] || Object.create(null);\n\t\tmacros[name][arg] = data;\n\t},\n\toperators: function(operators, data, key) {\n\t\t// We take the last index, not the first, because the operator\n\t\t// may have a slash to indicate parameter number\n\t\tvar pair = key.split('/');\n\t\tvar name = pair[0];\n\t\tdata.key = key;\n\t\toperators[name] = operators[name] || Object.create(null);\n\t\toperators[name][pair[1] || 1] = data;\n\t}\n};\n\nfunction build(settings, wiki) {\n\tfor (var name in factories) {\n\t\tsettings[name] = Object.create(null);\n\t}\n\twiki.eachShadowPlusTiddlers(function(tiddler, title) {\n\t\tif (title.substr(0, prefix.length) === prefix) {\n\t\t\tvar remainder = title.substr(prefix.length);\n\t\t\tvar category = root(remainder);\n\t\t\tvar factory = factories[category];\n\t\t\tif (factory) {\n\t\t\t\tvar name = remainder.substr(category.length+1);\n\t\t\t\tvar data = utils.getType(tiddler.fields.text.trim());\n\t\t\t\tif (data) {\n\t\t\t\t\tdata.source = title;\n\t\t\t\t\t// Secret feature. You can access a config tiddler's\n\t\t\t\t\t// fields from inside the fieldtype handler. Cool\n\t\t\t\t\t// tricks can be done with this.\n\t\t\t\t\tdata.fields = tiddler.fields;\n\t\t\t\t\tfactory(settings[category], data, name);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n};\n\n/* Returns first bit of a path. path/to/tiddler -> path\n */\nfunction root(string) {\n\tvar index = string.indexOf('/');\n\tif (index >= 0) {\n\t\treturn string.substr(0, index);\n\t}\n};\n\n/* Returns all but the last bit of a path. path/to/tiddler -> path/to\n */\nfunction dir(string) {\n\tvar index = string.lastIndexOf('/');\n\tif (index >= 0) {\n\t\treturn string.substr(0, index);\n\t}\n}\n\n/* Turns {dir: {file1: 'value1', file2: 'value2'}}\n * into {dir/file1: 'value1', dir/file2: 'value2'}\n */\nfunction flatten(set) {\n\tvar signatures = Object.create(null);\n\tfor (var outerName in set) {\n\t\tvar setItem = set[outerName];\n\t\tfor (var innerName in setItem) {\n\t\t\tsignatures[outerName + \"/\" + innerName] = setItem[innerName];\n\t\t}\n\t}\n\treturn signatures;\n};\n",
            "module-type": "relinkcontext",
            "title": "$:/plugins/flibbles/relink/js/contexts/whitelist.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/contexts/widget.js": {
            "text": "/*\\\n\nThis is a virtual subclass of context for contexts that exist within widgets\nof a specific tiddler.\n\nAll widget contexts must have a widget member.\n\n\\*/\n\nvar Context = require('./context.js').context;\nvar utils = require('$:/plugins/flibbles/relink/js/utils.js');\n\nfunction WidgetContext() {};\n\nexports.widget = WidgetContext;\n\nWidgetContext.prototype = new Context();\n\nWidgetContext.prototype.getMacroDefinition = function(variableName) {\n\t// widget.variables is prototyped, so it looks up into all its parents too\n\treturn this.widget.variables[variableName] || $tw.macros[variableName];\n};\n\nWidgetContext.prototype.addSetting = function(wiki, macroName, parameter, type, sourceTitle) {\n\tthis.macros = this.macros || Object.create(null);\n\tvar macro = this.macros[macroName];\n\ttype = type || utils.getDefaultType(wiki);\n\tif (macro === undefined) {\n\t\tmacro = this.macros[macroName] = Object.create(null);\n\t}\n\tvar handler = utils.getType(type);\n\tif (handler) {\n\t\thandler.source = sourceTitle;\n\t\t// We attach the fields of the defining tiddler for the benefit\n\t\t// of any 3rd party field types that want access to them.\n\t\tvar tiddler = wiki.getTiddler(sourceTitle);\n\t\thandler.fields = tiddler.fields;\n\t\tmacro[parameter] = handler;\n\t}\n};\n\nWidgetContext.prototype.getMacros = function() {\n\tvar signatures = this.parent.getMacros();\n\tif (this.macros) {\n\t\tfor (var macroName in this.macros) {\n\t\t\tvar macro = this.macros[macroName];\n\t\t\tfor (var param in macro) {\n\t\t\t\tsignatures[macroName + \"/\" + param] = macro[param];\n\t\t\t}\n\t\t}\n\t}\n\treturn signatures;\n};\n\n/**This does strange handling because it's possible for a macro to have\n * its individual parameters whitelisted in separate places.\n * Don't know WHY someone would do this, but it can happen.\n */\nWidgetContext.prototype.getMacro = function(macroName) {\n\tvar theseSettings = this.macros && this.macros[macroName];\n\tvar parentSettings;\n\tif (this.parent) {\n\t\tparentSettings = this.parent.getMacro(macroName);\n\t}\n\tif (theseSettings && parentSettings) {\n\t\t// gotta merge them without changing either. This is expensive,\n\t\t// but it'll happen rarely.\n\t\tvar rtnSettings = $tw.utils.extend(Object.create(null), theseSettings, parentSettings);\n\t\treturn rtnSettings;\n\t}\n\treturn theseSettings || parentSettings;\n};\n\n/**Returns the deepest descendant of the given widget.\n */\nWidgetContext.prototype.getBottom = function(widget) {\n\twhile (widget.children.length > 0) {\n\t\twidget = widget.children[0];\n\t}\n\treturn widget;\n};\n",
            "module-type": "relinkcontext",
            "title": "$:/plugins/flibbles/relink/js/contexts/widget.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/contexts/wikitext.js": {
            "text": "/*\\\n\nContext for wikitext. It can contain rules about what's allowed in this\ncurrent layer of wikitext.\n\n\\*/\n\nvar WidgetContext = require('./widget.js').widget;\n\nfunction WikitextContext(parentContext) {\n\tthis.parent = parentContext;\n\tthis.widget = parentContext.widget;\n};\n\nexports.wikitext = WikitextContext;\n\nWikitextContext.prototype = new WidgetContext();\n\n// Unless this specific context has rules about it, widgets and prettyLInks are allowed.\nWikitextContext.prototype.allowWidgets = enabled;\nWikitextContext.prototype.allowPrettylinks = enabled;\n\nfunction enabled() { return true; };\n",
            "module-type": "relinkcontext",
            "title": "$:/plugins/flibbles/relink/js/contexts/wikitext.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/utils/backupIndexer.js": {
            "text": "/*\\\nmodule-type: library\n\nThis is a backup indexer Relink uses if the real one is disabled, or we're\n<V5.1.23. It's not nearly as good, but it caches some.\n\n\\*/\n\n\"use strict\";\n\nvar utils = require(\"$:/plugins/flibbles/relink/js/utils.js\");\nvar TiddlerContext = utils.getContext('tiddler');\n\n// This is the indexer we use if the current wiki doesn't support indexers.\nfunction BackupIndexer(wiki) {\n\tthis.wiki = wiki;\n};\n\nmodule.exports = BackupIndexer;\n\nBackupIndexer.prototype.lookup = function(title) {\n\treturn getCache(this.wiki).lookup[title];\n};\n\nBackupIndexer.prototype.reverseLookup = function(title) {\n\tvar index = getCache(this.wiki);\n\tif (!index.reverse[title]) {\n\t\tvar record = Object.create(null);\n\t\tfor (var other in index.lookup) {\n\t\t\tif (index.lookup[other][title]) {\n\t\t\t\trecord[other] = index.lookup[other][title];\n\t\t\t}\n\t\t}\n\t\tindex.reverse[title] = record;\n\t}\n\treturn index.reverse[title];\n};\n\n/* The backup indexer doesn't bother caching relink reports. It would always\n * be called after a draft tiddler had changed, which would defeat the point.\n */\nBackupIndexer.prototype.relinkLookup = function(fromTitle, toTitle, options) {\n\tvar cache = getCache(this.wiki);\n\tif (cache.lastRelinkFrom === fromTitle && cache.lastRelinkTo === toTitle) {\n\t\toptions.cache = cache.lastRelinkCache;\n\t\treturn cache.lastRelink;\n\t}\n\tcache.lastRelink = utils.getRelinkResults(this.wiki, fromTitle, toTitle, cache.context, undefined, options);\n\tcache.lastRelinkFrom = fromTitle;\n\tcache.lastRelinkTo = toTitle;\n\tcache.lastRelinkCache = options.cache;\n\treturn cache.lastRelink;\n};\n\nfunction getCache(wiki) {\n\treturn wiki.getGlobalCache('relink', function() {\n\t\tvar tiddlerList = wiki.getRelinkableTitles();\n\t\tvar index = Object.create(null);\n\t\tvar wikiContext = utils.getWikiContext(wiki);\n\t\tfor (var i = 0; i < tiddlerList.length; i++) {\n\t\t\tvar title = tiddlerList[i];\n\t\t\tvar tiddler = wiki.getTiddler(title);\n\t\t\tif (tiddler && !tiddler.fields[\"plugin-type\"]) {\n\t\t\t\tvar context = new TiddlerContext(wiki, wikiContext, title);\n\t\t\t\tindex[title] = utils.getTiddlerRelinkReferences(wiki, title, context);\n\t\t\t}\n\t\t}\n\t\treturn {\n\t\t\tlookup: index,\n\t\t\treverse: Object.create(null),\n\t\t\tcontext: wikiContext};\n\t});\n};\n",
            "module-type": "library",
            "title": "$:/plugins/flibbles/relink/js/utils/backupIndexer.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/utils/entry.js": {
            "text": "/*\\\n\nEntries are deprecated. Don't use them. These classes are here just so that\nany 3rd party modules built for Relink V1 don't break.\n\nJust return an object like, {output: \"string\", impossible: true|undefined}\n\n\\*/\n\nfunction EntryNode() {\n\tthis.children = [];\n};\n\nmodule.exports = EntryNode;\n\n/**  PURE VIRTUAL\n * EntryNode.prototype.report = function() -> [\"string\", ...]\n */\n\nEntryNode.newType = function() {\n\treturn EntryNode;\n};\n\nEntryNode.prototype.add = function(entry) {\n\tthis.children.push(entry);\n};\n\nfunction EntryCollection() {\n\tthis.children = Object.create(null);\n\tthis.types = Object.create(null);\n};\n\nEntryNode.newCollection = function(name) {\n\treturn EntryCollection;\n};\n\n// Again. I reiterate. Don't use this. All this is just legacy support.\nObject.defineProperty(EntryCollection, 'impossible', {\n\tget: function() {\n\t\tvar imp = this._impossible;\n\t\tthis.eachChild(function(child) { imp = imp || child.impossible; });\n\t\treturn imp;\n\t},\n\tset: function(impossible) {\n\t\tthis._impossible = true;\n\t}\n});\n\nEntryCollection.prototype.eachChild = function(method) {\n\tfor (var child in this.children) {\n\t\tmethod(this.children[child]);\n\t}\n};\n\nEntryCollection.prototype.addChild = function(child, name, type) {\n\tthis.children[name] = child;\n\tthis.types[name] = type;\n};\n\nEntryCollection.prototype.hasChildren = function() {\n\treturn Object.keys(this.children).length > 0;\n};\n",
            "module-type": "library",
            "title": "$:/plugins/flibbles/relink/js/utils/entry.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/utils/placeholder.js": {
            "text": "/*\\\n\nA method which doles out placeholders when requested, and constructs\nthe necessary supporting pragma when requested.\n\n\\*/\n\nvar utils = require('../utils');\n\nfunction Placeholder() {\n\tthis.placeholders = Object.create(null);\n\tthis.reverseMap = {};\n\tthis.used = Object.create(null);\n};\n\nmodule.exports = Placeholder;\n\nPlaceholder.prototype.getPlaceholderFor = function(value, category) {\n\tthis.reverseMap[category] = this.reverseMap[category] || Object.create(null);\n\tvar placeholder = this.reverseMap[category][value];\n\tif (placeholder) {\n\t\treturn placeholder;\n\t}\n\tvar config = (this.parser && this.parser.context) || utils.getWikiContext(this.parser.wiki);\n\tvar number = 0;\n\tvar prefix = \"relink-\"\n\tif (category && category !== \"title\") {\n\t\t// I don't like \"relink-title-1\". \"relink-1\" should be for\n\t\t// titles. lists, and filters can have descriptors though.\n\t\tprefix += category + \"-\";\n\t}\n\tdo {\n\t\tnumber += 1;\n\t\tplaceholder = prefix + number;\n\t} while (config.getMacroDefinition(placeholder) || this.used[placeholder]);\n\tthis.placeholders[placeholder] = value;\n\tthis.reverseMap[category][value] = placeholder;\n\tthis.used[placeholder] = true;\n\treturn placeholder;\n};\n\n// For registering placeholders that already existed\nPlaceholder.prototype.registerExisting = function(key, value) {\n\tthis.reverseMap[value] = key;\n\tthis.used[key] = true;\n};\n\nPlaceholder.prototype.getPreamble = function() {\n\tvar results = [];\n\tvar keys = Object.keys(this.placeholders);\n\tif (keys.length > 0) {\n\t\tkeys.sort();\n\t\tfor (var i = 0; i < keys.length; i++) {\n\t\t\tvar name = keys[i];\n\t\t\tvar val = this.placeholders[name];\n\t\t\tresults.push(\"\\\\define \"+name+\"() \"+val+\"\\n\");\n\t\t}\n\t}\n\treturn results.join('');\n};\n\n",
            "module-type": "library",
            "title": "$:/plugins/flibbles/relink/js/utils/placeholder.js",
            "type": "application/javascript"
        },
        "$:/plugins/flibbles/relink/js/utils/rebuilder.js": {
            "text": "/*\\\n\nThis helper class aids in reconstructing an existing string with new parts.\n\n\\*/\n\nfunction Rebuilder(text, start) {\n\tthis.text = text;\n\tthis.index = start || 0;\n\tthis.pieces = [];\n};\n\nmodule.exports = Rebuilder;\n\n/**Pieces must be added consecutively.\n * Start and end are the indices in the old string specifying where to graft\n * in the new piece.\n */\nRebuilder.prototype.add = function(value, start, end) {\n\tthis.pieces.push(this.text.substring(this.index, start), value);\n\tthis.index = end;\n};\n\nRebuilder.prototype.changed = function() {\n\treturn this.pieces.length > 0;\n};\n\nRebuilder.prototype.results = function(end) {\n\tif (this.changed()) {\n\t\tthis.pieces.push(this.text.substring(this.index, end));\n\t\treturn this.pieces.join('');\n\t}\n\treturn undefined;\n};\n",
            "module-type": "library",
            "title": "$:/plugins/flibbles/relink/js/utils/rebuilder.js",
            "type": "application/javascript"
        },
        "$:/config/flibbles/relink/attributes/$button/set": {
            "title": "$:/config/flibbles/relink/attributes/$button/set",
            "text": "reference"
        },
        "$:/config/flibbles/relink/attributes/$button/setTo": {
            "title": "$:/config/flibbles/relink/attributes/$button/setTo",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$button/to": {
            "title": "$:/config/flibbles/relink/attributes/$button/to",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$checkbox/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$checkbox/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$checkbox/tag": {
            "title": "$:/config/flibbles/relink/attributes/$checkbox/tag",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$count/filter": {
            "title": "$:/config/flibbles/relink/attributes/$count/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/attributes/$draggable/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$draggable/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$draggable/filter": {
            "title": "$:/config/flibbles/relink/attributes/$draggable/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/attributes/$edit-bitmap/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$edit-bitmap/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$edit-text/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$edit-text/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$edit/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$edit/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$encrypt/filter": {
            "title": "$:/config/flibbles/relink/attributes/$encrypt/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/attributes/$fieldmangler/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$fieldmangler/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$fields/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$fields/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$image/source": {
            "title": "$:/config/flibbles/relink/attributes/$image/source",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$importvariables/filter": {
            "title": "$:/config/flibbles/relink/attributes/$importvariables/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/attributes/$linkcatcher/to": {
            "title": "$:/config/flibbles/relink/attributes/$linkcatcher/to",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$linkcatcher/set": {
            "title": "$:/config/flibbles/relink/attributes/$linkcatcher/set",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$link/to": {
            "title": "$:/config/flibbles/relink/attributes/$link/to",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$list/filter": {
            "title": "$:/config/flibbles/relink/attributes/$list/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/attributes/$list/template": {
            "title": "$:/config/flibbles/relink/attributes/$list/template",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$list/editTemplate": {
            "title": "$:/config/flibbles/relink/attributes/$list/editTemplate",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$list/emptyMessage": {
            "title": "$:/config/flibbles/relink/attributes/$list/emptyMessage",
            "text": "wikitext"
        },
        "$:/config/flibbles/relink/attributes/$list/history": {
            "title": "$:/config/flibbles/relink/attributes/$list/history",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$navigator/story": {
            "title": "$:/config/flibbles/relink/attributes/$navigator/story",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$navigator/history": {
            "title": "$:/config/flibbles/relink/attributes/$navigator/history",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$radio/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$radio/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$range/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$range/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$reveal/stateTitle": {
            "title": "$:/config/flibbles/relink/attributes/$reveal/stateTitle",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$select/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$select/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$setvariable/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$setvariable/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$setvariable/subtiddler": {
            "title": "$:/config/flibbles/relink/attributes/$setvariable/subtiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$setvariable/filter": {
            "title": "$:/config/flibbles/relink/attributes/$setvariable/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/attributes/$set/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$set/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$set/subtiddler": {
            "title": "$:/config/flibbles/relink/attributes/$set/subtiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$set/filter": {
            "title": "$:/config/flibbles/relink/attributes/$set/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/attributes/$tiddler/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$tiddler/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$transclude/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$transclude/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$transclude/subtiddler": {
            "title": "$:/config/flibbles/relink/attributes/$transclude/subtiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$view/tiddler": {
            "title": "$:/config/flibbles/relink/attributes/$view/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/attributes/$view/subtiddler": {
            "title": "$:/config/flibbles/relink/attributes/$view/subtiddler",
            "text": "title"
        },
        "$:/plugins/flibbles/relink/configuration": {
            "title": "$:/plugins/flibbles/relink/configuration",
            "text": "<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/flibbles/relink/Configuration]!has[draft.of]]\" \"$:/plugins/flibbles/relink/ui/configuration/Fields\">>\n</div>\n"
        },
        "$:/config/flibbles/relink/fields/caption": {
            "title": "$:/config/flibbles/relink/fields/caption",
            "text": "wikitext"
        },
        "$:/config/flibbles/relink/fields/filter": {
            "title": "$:/config/flibbles/relink/fields/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/fields/list": {
            "title": "$:/config/flibbles/relink/fields/list",
            "text": "list"
        },
        "$:/config/flibbles/relink/fields/list-after": {
            "title": "$:/config/flibbles/relink/fields/list-after",
            "text": "title"
        },
        "$:/config/flibbles/relink/fields/list-before": {
            "title": "$:/config/flibbles/relink/fields/list-before",
            "text": "title"
        },
        "$:/config/flibbles/relink/fields/tags": {
            "title": "$:/config/flibbles/relink/fields/tags",
            "text": "list"
        },
        "$:/plugins/flibbles/relink/language/Buttons/Delete/Hint": {
            "title": "$:/plugins/flibbles/relink/language/Buttons/Delete/Hint",
            "text": "delete"
        },
        "$:/plugins/flibbles/relink/language/Buttons/LinkToInline/Hint": {
            "title": "$:/plugins/flibbles/relink/language/Buttons/LinkToInline/Hint",
            "text": "go to defining tiddler"
        },
        "$:/plugins/flibbles/relink/language/Buttons/NewAttribute/Hint": {
            "title": "$:/plugins/flibbles/relink/language/Buttons/NewAttribute/Hint",
            "text": "Specify a new widget/element attribute to be updated whenever a tiddler is renamed"
        },
        "$:/plugins/flibbles/relink/language/Buttons/NewAttribute/Caption": {
            "title": "$:/plugins/flibbles/relink/language/Buttons/NewAttribute/Caption",
            "text": "add"
        },
        "$:/plugins/flibbles/relink/language/Buttons/NewField/Hint": {
            "title": "$:/plugins/flibbles/relink/language/Buttons/NewField/Hint",
            "text": "Specify a new field to be updated whenever a tiddler is renamed"
        },
        "$:/plugins/flibbles/relink/language/Buttons/NewField/Caption": {
            "title": "$:/plugins/flibbles/relink/language/Buttons/NewField/Caption",
            "text": "add"
        },
        "$:/plugins/flibbles/relink/language/Buttons/NewOperator/Hint": {
            "title": "$:/plugins/flibbles/relink/language/Buttons/NewOperator/Hint",
            "text": "Specify a new filter operator to be considered whenever a tiddler is renamed"
        },
        "$:/plugins/flibbles/relink/language/Buttons/NewOperator/Caption": {
            "title": "$:/plugins/flibbles/relink/language/Buttons/NewOperator/Caption",
            "text": "add"
        },
        "$:/plugins/flibbles/relink/language/Buttons/NewParameter/Hint": {
            "title": "$:/plugins/flibbles/relink/language/Buttons/NewParameter/Hint",
            "text": "Specify a new macro parameter to be updated whenever a tiddler is renamed"
        },
        "$:/plugins/flibbles/relink/language/Buttons/NewParameter/Caption": {
            "title": "$:/plugins/flibbles/relink/language/Buttons/NewParameter/Caption",
            "text": "add"
        },
        "$:/plugins/flibbles/relink/language/Error/InvalidAttributeName": {
            "title": "$:/plugins/flibbles/relink/language/Error/InvalidAttributeName",
            "text": "Illegal characters in attribute name \"<$text text=<<attributeName>>/>\". Attributes cannot contain slashes ('/'), closing angle or square brackets ('>' or ']'), quotes or apostrophes ('\"' or \"'\"), equals ('='), or whitespace"
        },
        "$:/plugins/flibbles/relink/language/Error/InvalidElementName": {
            "title": "$:/plugins/flibbles/relink/language/Error/InvalidElementName",
            "text": "Illegal characters in element/widget name \"<$text text=<<elementName>>/>\". Element tags can only contain letters and the characters hyphen (`-`) and dollar sign (`$`)"
        },
        "$:/plugins/flibbles/relink/language/Error/InvalidMacroName": {
            "title": "$:/plugins/flibbles/relink/language/Error/InvalidMacroName",
            "text": "Illegal characters in macro name \"<$text text=<<macroName>>/>\". Macros cannot contain whitespace"
        },
        "$:/plugins/flibbles/relink/language/Error/InvalidParameterName": {
            "title": "$:/plugins/flibbles/relink/language/Error/InvalidParameterName",
            "text": "Illegal characters in parameter name \"<$text text=<<parameterName>>/>\". Parameters can only contain letters, digits, and the characters underscore (`_`) and hyphen (`-`)"
        },
        "$:/plugins/flibbles/relink/language/Error/RelinkFilterOperator": {
            "title": "$:/plugins/flibbles/relink/language/Error/RelinkFilterOperator",
            "text": "Filter Error: Unknown suffix for the 'relink' filter operator"
        },
        "$:/plugins/flibbles/relink/language/Error/ReportFailedRelinks": {
            "title": "$:/plugins/flibbles/relink/language/Error/ReportFailedRelinks",
            "text": "Relink could not update '<<from>>' to '<<to>>' inside the following tiddlers:"
        },
        "$:/plugins/flibbles/relink/language/Error/UnrecognizedType": {
            "title": "$:/plugins/flibbles/relink/language/Error/UnrecognizedType",
            "text": "Relink parse error: Unrecognized field type '<<type>>'"
        },
        "$:/plugins/flibbles/relink/language/Help/Attributes": {
            "title": "$:/plugins/flibbles/relink/language/Help/Attributes",
            "text": "See the <a href={{{[{$:/plugins/flibbles/relink!!demo}addsuffix[#Attributes]]}}}>Attributes documentation page</a> for details."
        },
        "$:/plugins/flibbles/relink/language/Help/Fields": {
            "title": "$:/plugins/flibbles/relink/language/Help/Fields",
            "text": "See the <a href={{{[{$:/plugins/flibbles/relink!!demo}addsuffix[#Fields]]}}}>Fields documentation page</a> for details."
        },
        "$:/plugins/flibbles/relink/language/Help/Macros": {
            "title": "$:/plugins/flibbles/relink/language/Help/Macros",
            "text": "See the <a href={{{[{$:/plugins/flibbles/relink!!demo}addsuffix[#Macros]]}}}>Macros documentation page</a> for details."
        },
        "$:/plugins/flibbles/relink/language/Help/Operators": {
            "title": "$:/plugins/flibbles/relink/language/Help/Operators",
            "text": "See the <a href={{{[{$:/plugins/flibbles/relink!!demo}addsuffix[#Operators]]}}}>Operators documentation page</a> for details."
        },
        "$:/plugins/flibbles/relink/language/TiddlerInfo/References/Empty": {
            "title": "$:/plugins/flibbles/relink/language/TiddlerInfo/References/Empty",
            "text": "No tiddlers contain any fields, links, macros, transclusions, or widgets referencing this one"
        },
        "$:/plugins/flibbles/relink/language/TiddlerInfo/References/Description": {
            "title": "$:/plugins/flibbles/relink/language/TiddlerInfo/References/Description",
            "text": "The following tiddlers contain fields, links, macros, transclusions, or widgets referencing this one:"
        },
        "$:/plugins/flibbles/relink/language/TiddlerInfo/References/Caption": {
            "title": "$:/plugins/flibbles/relink/language/TiddlerInfo/References/Caption",
            "text": "//Relink// References"
        },
        "$:/plugins/flibbles/relink/language/ui/Attributes/Caption": {
            "title": "$:/plugins/flibbles/relink/language/ui/Attributes/Caption",
            "text": "Attributes"
        },
        "$:/plugins/flibbles/relink/language/ui/Fields/Caption": {
            "title": "$:/plugins/flibbles/relink/language/ui/Fields/Caption",
            "text": "Fields"
        },
        "$:/plugins/flibbles/relink/language/ui/Macros/Caption": {
            "title": "$:/plugins/flibbles/relink/language/ui/Macros/Caption",
            "text": "Macros"
        },
        "$:/plugins/flibbles/relink/language/ui/Operators/Caption": {
            "title": "$:/plugins/flibbles/relink/language/ui/Operators/Caption",
            "text": "Operators"
        },
        "$:/plugins/flibbles/relink/license": {
            "title": "$:/plugins/flibbles/relink/license",
            "type": "text/vnd.tiddlywiki",
            "text": "<a href={{$:/plugins/flibbles/relink!!demo}}>Relink Plugin</a> Copyright (c) 2019-<<now YYYY>> Cameron Fischer\n\n[[BSD 3-Clause License|https://raw.githubusercontent.com/flibbles/tw5-relink/master/LICENSE]]\n"
        },
        "$:/config/flibbles/relink/macros/csvtiddlers/filter": {
            "title": "$:/config/flibbles/relink/macros/csvtiddlers/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/macros/datauri/title": {
            "title": "$:/config/flibbles/relink/macros/datauri/title",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/jsontiddler/title": {
            "title": "$:/config/flibbles/relink/macros/jsontiddler/title",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/jsontiddlers/filter": {
            "title": "$:/config/flibbles/relink/macros/jsontiddlers/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/macros/list-links/filter": {
            "title": "$:/config/flibbles/relink/macros/list-links/filter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/macros/list-links-draggable/tiddler": {
            "title": "$:/config/flibbles/relink/macros/list-links-draggable/tiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/list-links-draggable/itemTemplate": {
            "title": "$:/config/flibbles/relink/macros/list-links-draggable/itemTemplate",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/list-tagged-draggable/tag": {
            "title": "$:/config/flibbles/relink/macros/list-tagged-draggable/tag",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/list-tagged-draggable/itemTemplate": {
            "title": "$:/config/flibbles/relink/macros/list-tagged-draggable/itemTemplate",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/tabs/buttonTemplate": {
            "title": "$:/config/flibbles/relink/macros/tabs/buttonTemplate",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/tabs/default": {
            "title": "$:/config/flibbles/relink/macros/tabs/default",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/tabs/tabsList": {
            "title": "$:/config/flibbles/relink/macros/tabs/tabsList",
            "text": "filter"
        },
        "$:/config/flibbles/relink/macros/tabs/template": {
            "title": "$:/config/flibbles/relink/macros/tabs/template",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/tag/tag": {
            "title": "$:/config/flibbles/relink/macros/tag/tag",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/tag-pill/tag": {
            "title": "$:/config/flibbles/relink/macros/tag-pill/tag",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/timeline/subfilter": {
            "title": "$:/config/flibbles/relink/macros/timeline/subfilter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/macros/toc/tag": {
            "title": "$:/config/flibbles/relink/macros/toc/tag",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/toc/itemClassFilter": {
            "title": "$:/config/flibbles/relink/macros/toc/itemClassFilter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/macros/toc-expandable/tag": {
            "title": "$:/config/flibbles/relink/macros/toc-expandable/tag",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/toc-expandable/itemClassFilter": {
            "title": "$:/config/flibbles/relink/macros/toc-expandable/itemClassFilter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/macros/toc-expandable/exclude": {
            "title": "$:/config/flibbles/relink/macros/toc-expandable/exclude",
            "text": "list"
        },
        "$:/config/flibbles/relink/macros/toc-selective-expandable/tag": {
            "title": "$:/config/flibbles/relink/macros/toc-selective-expandable/tag",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/toc-selective-expandable/itemClassFilter": {
            "title": "$:/config/flibbles/relink/macros/toc-selective-expandable/itemClassFilter",
            "text": "filter"
        },
        "$:/config/flibbles/relink/macros/toc-selective-expandable/exclude": {
            "title": "$:/config/flibbles/relink/macros/toc-selective-expandable/exclude",
            "text": "list"
        },
        "$:/config/flibbles/relink/macros/toc-tabbed-external-nav/tag": {
            "title": "$:/config/flibbles/relink/macros/toc-tabbed-external-nav/tag",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/toc-tabbed-external-nav/selectedTiddler": {
            "title": "$:/config/flibbles/relink/macros/toc-tabbed-external-nav/selectedTiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/toc-tabbed-external-nav/unselectedText": {
            "title": "$:/config/flibbles/relink/macros/toc-tabbed-external-nav/unselectedText",
            "text": "wikitext"
        },
        "$:/config/flibbles/relink/macros/toc-tabbed-external-nav/missingText": {
            "title": "$:/config/flibbles/relink/macros/toc-tabbed-external-nav/missingText",
            "text": "wikitext"
        },
        "$:/config/flibbles/relink/macros/toc-tabbed-external-nav/template": {
            "title": "$:/config/flibbles/relink/macros/toc-tabbed-external-nav/template",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/tag": {
            "title": "$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/tag",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/selectedTiddler": {
            "title": "$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/selectedTiddler",
            "text": "title"
        },
        "$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/unselectedText": {
            "title": "$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/unselectedText",
            "text": "wikitext"
        },
        "$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/missingText": {
            "title": "$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/missingText",
            "text": "wikitext"
        },
        "$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/template": {
            "title": "$:/config/flibbles/relink/macros/toc-tabbed-internal-nav/template",
            "text": "title"
        },
        "$:/config/flibbles/relink/operators/list": {
            "title": "$:/config/flibbles/relink/operators/list",
            "text": "reference"
        },
        "$:/config/flibbles/relink/operators/tag": {
            "title": "$:/config/flibbles/relink/operators/tag",
            "text": "title"
        },
        "$:/config/flibbles/relink/operators/title": {
            "title": "$:/config/flibbles/relink/operators/title",
            "text": "title"
        },
        "$:/config/flibbles/relink/operators/field:title": {
            "title": "$:/config/flibbles/relink/operators/field:title",
            "text": "title"
        },
        "$:/language/EditTemplate/Title/Impossibles/Prompt": {
            "title": "$:/language/EditTemplate/Title/Impossibles/Prompt",
            "text": "''Warning:'' Not all references in the following tiddlers can be updated by //Relink// due to the complexity of the new title:"
        },
        "$:/language/EditTemplate/Title/References/Prompt": {
            "title": "$:/language/EditTemplate/Title/References/Prompt",
            "text": "The following tiddlers will be updated if relinking:"
        },
        "$:/language/EditTemplate/Title/Relink/Prompt": {
            "title": "$:/language/EditTemplate/Title/Relink/Prompt",
            "text": "Use //Relink// to update ''<$text text=<<fromTitle>>/>'' to ''<$text text=<<toTitle>>/>'' across all other tiddlers"
        },
        "$:/core/ui/EditTemplate/title": {
            "title": "$:/core/ui/EditTemplate/title",
            "tags": "$:/tags/EditTemplate",
            "text": "<$edit-text field=\"draft.title\" class=\"tc-titlebar tc-edit-texteditor\" focus=\"true\" tabindex={{$:/config/EditTabIndex}}/>\n\n<$reveal state=\"!!draft.title\" type=\"nomatch\" text={{!!draft.of}} tag=\"div\">\n\n<$vars pattern=\"\"\"[\\|\\[\\]{}]\"\"\" bad-chars=\"\"\"`| [ ] { }`\"\"\">\n\n<$list filter=\"[all[current]regexp:draft.title<pattern>]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/BadCharacterWarning}}\n\n</div>\n\n</$list>\n\n</$vars>\n\n<$list filter=\"[{!!draft.title}!is[missing]]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/Exists/Prompt}}\n\n</div>\n\n</$list>\n\n<$list filter=\"[{!!draft.of}!is[missing]]\" variable=\"listItem\">\n\n<$vars fromTitle={{!!draft.of}} toTitle={{!!draft.title}}>\n\n<$checkbox tiddler=\"$:/config/RelinkOnRename\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> {{$:/language/EditTemplate/Title/Relink/Prompt}}</$checkbox>\n\n<$tiddler tiddler=<<fromTitle>> >\n\n<$list filter=\"[relink:wouldchange<toTitle>limit[1]]\" variable=\"listItem\">\n\n<$vars stateTiddler=<<qualify \"$:/state/edit/references\">> >\n\n<$set\n\tname=\"prompt\"\n\tfilter=\"[relink:wouldchange<toTitle>relink:impossible<toTitle>]\"\n\tvalue=\"EditTemplate/Title/Impossibles/Prompt\"\n\temptyValue=\"EditTemplate/Title/References/Prompt\" >\n<$reveal type=\"nomatch\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"show\" class=\"tc-btn-invisible\">{{$:/core/images/right-arrow}}\n<$macrocall $name=lingo title=<<prompt>> />\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"hide\" class=\"tc-btn-invisible\">{{$:/core/images/down-arrow}}\n<$macrocall $name=lingo title=<<prompt>> />\n</$button>\n</$reveal>\n</$set>\n\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$list variable=\"listItem\" filter=\"[relink:wouldchange<toTitle>!title[$:/StoryList]sort[title]]\" template=\"$:/plugins/flibbles/relink/ui/ListItemTemplate\">\n</$list>\n</$reveal>\n\n</$vars>\n\n</$list>\n\n</$tiddler>\n\n</$vars>\n\n</$list>\n\n</$reveal>\n"
        },
        "$:/config/flibbles/relink/PluginLibrary": {
            "title": "$:/config/flibbles/relink/PluginLibrary",
            "caption": "//Relink// Library",
            "url": "https://flibbles.github.io/tw5-relink/library/index.html",
            "tags": "$:/tags/PluginLibrary",
            "text": "The //Relink// library contains //Relink// as well as its supplemental plugins. It is maintained by Flibbles. See the [[github page|https://github.com/flibbles/tw5-relink]] for more information.\n"
        },
        "$:/plugins/flibbles/relink/readme": {
            "title": "$:/plugins/flibbles/relink/readme",
            "type": "text/vnd.tiddlywiki",
            "text": "When renaming a tiddler, Relink can update the fields, filters, and widgets\nof all other tiddlers. However, it works through whitelisting.\n\nIt's already configured to update tiddler titles for all core widgets, filters,\nand fields, but the whitelists can be customized for each of this in the\nconfiguration panel.\n\nSee <a href={{$:/plugins/flibbles/relink!!source}}>the tw5-relink website</a> for more details and examples.\n"
        },
        "$:/config/flibbles/relink/settings/default-type": {
            "title": "$:/config/flibbles/relink/settings/default-type",
            "text": "title"
        },
        "$:/plugins/flibbles/relink/ui/ListItemTemplate": {
            "title": "$:/plugins/flibbles/relink/ui/ListItemTemplate",
            "text": "<$set\n\tname=\"classes\"\n\tfilter=\"[<listItem>relink:impossible<toTitle>]\"\n\tvalue=\"tc-menu-list-item tc-relink-impossible\"\n\temptyValue=\"tc-menu-list-item\">\n<div class=<<classes>>>\n<$link to=<<listItem>>><$text text=<<listItem>> /></$link>\n</div>\n</$set>\n"
        },
        "$:/plugins/flibbles/relink/ui/TiddlerInfo/References": {
            "title": "$:/plugins/flibbles/relink/ui/TiddlerInfo/References",
            "caption": "{{$:/plugins/flibbles/relink/language/TiddlerInfo/References/Caption}}",
            "tags": "$:/tags/TiddlerInfo",
            "text": "\\define lingo-base() $:/plugins/flibbles/relink/language/TiddlerInfo/\n\\define filter() [all[current]relink:backreferences[]!title[$:/StoryList]!prefix[$:/temp/]sort[title]]\n<$list filter=\"[subfilter<filter>first[]]\">\n\n<<lingo References/Description>>\n</$list>\n\n<table class=\"tc-relink-references-table\">\n<tbody>\n<$list filter=<<filter>> emptyMessage=<<lingo References/Empty>> variable=\"listItem\" template=\"$:/plugins/flibbles/relink/ui/TiddlerInfo/ReferencesTemplate\" />\n</tbody>\n</table>\n"
        },
        "$:/plugins/flibbles/relink/ui/TiddlerInfo/ReferencesTemplate": {
            "title": "$:/plugins/flibbles/relink/ui/TiddlerInfo/ReferencesTemplate",
            "text": "<tr class=\"tc-relink-references\">\n<td class=\"tc-relink-references-title\">\n<$link to=<<listItem>>/>\n</td>\n<td class=\"tc-relink-references-report\">\n<$list filter=\"[<listItem>relink:report<currentTiddler>]\">\n\n<$text text=<<currentTiddler>> />\n</$list>\n\n</td>\n</tr>\n"
        },
        "$:/plugins/flibbles/relink/ui/components/button-delete": {
            "title": "$:/plugins/flibbles/relink/ui/components/button-delete",
            "text": "\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\\define prefix() $:/config/flibbles/relink/\n\n<$list filter=\"[all[current]prefix<prefix>]\" >\n<$button class=\"tc-btn-invisible\" tooltip={{$:/plugins/flibbles/relink/language/Buttons/Delete/Hint}}><$list filter=\"[all[current]is[tiddler]]\">\n<$action-deletetiddler $tiddler=<<currentTiddler>> />\n</$list><$list filter=\"[all[current]is[shadow]]\">\n<$action-setfield $tiddler=<<tiddlerName>> text=\"\" />\n</$list>\n{{$:/core/images/delete-button}}\n</$button>\n</$list><$list filter=\"[all[current]!prefix<prefix>]\">\n<$link><$button class=\"tc-btn-invisible\" tooltip={{$:/plugins/flibbles/relink/language/Buttons/LinkToInline/Hint}}>{{$:/core/images/link}}</$button></$link>\n</$list>\n"
        },
        "$:/plugins/flibbles/relink/ui/components/select-fieldtype": {
            "title": "$:/plugins/flibbles/relink/ui/components/select-fieldtype",
            "text": "\\define prefix() $:/config/flibbles/relink/\n\n<$vars type={{{ [<signature>relink:type[]] }}} >\n<$list filter=\"[all[current]prefix<prefix>]\" >\n<$select tiddler=<<currentTiddler>> >\n<$list variable=\"option\" filter=\"[relink:types[]]\">\n<option><$text text=<<option>> /></option>\n</$list>\n</$select>\n</$list><$list filter=\"[all[current]!prefix<prefix>]\">\n<$text text=<<type>> />\n</$list>\n</$vars>\n"
        },
        "$:/plugins/flibbles/relink/ui/components/tables": {
            "title": "$:/plugins/flibbles/relink/ui/components/tables",
            "text": "\\define .make-table(title, plugin, default-table-state:yes)\n\n<$list variable=\"render\" filter=\"[relink:signatures<__plugin__>prefix<__category__>first[]]\">\n<$set name=\"table-state\" value=<<qualify \"\"\"$:/state/flibbles/relink/tables/$title$\"\"\">>>\n<tr><th class=\"tc-relink-header-plugin\" colspan=<<column-count>> >\n<$reveal type=\"nomatch\" state=<<table-state>> text=\"yes\" default=\"\"\"$default-table-state$\"\"\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<table-state>> setTo=\"yes\">\n{{$:/core/images/right-arrow}} ''$title$''\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<table-state>> text=\"yes\" default=\"\"\"$default-table-state$\"\"\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<table-state>> setTo=\"no\">\n{{$:/core/images/down-arrow}} ''$title$''\n</$button>\n</$reveal>\n</th></tr>\n<$list\n\tvariable=\"signature\"\n\tfilter=\"[relink:signatures<__plugin__>prefix<__category__>sort[]]\">\n<$vars key={{{ [<signature>removeprefix<__category__>removeprefix[/]] }}} >\n<$tiddler tiddler={{{[<signature>relink:source[]]}}} >\n<$reveal tag=\"tr\" type=\"match\" state=<<table-state>> text=\"yes\" default=\"\"\"$default-table-state$\"\"\">\n<$macrocall $name=<<__list-row-macro__>> signature=<<signature>> />\n<td class=\"tc-relink-column-type\">{{||$:/plugins/flibbles/relink/ui/components/select-fieldtype}}</td>\n<td class=\"tc-relink-column-delete\">{{||$:/plugins/flibbles/relink/ui/components/button-delete}}</td>\n</$reveal>\n</$tiddler>\n</$vars>\n</$list>\n</$set>\n</$list>\n\\end\n\n\\define tables(category, list-row-macro, header-list)\n<$vars\n\tcolumn-count={{{[enlist<__header-list__>] [[DeleteColumn]] +[count[]]}}}>\n\n<table class=\"tc-relink-whitelist\"><tbody>\n<tr>\n<$list variable=\"header\" filter=\"[enlist<__header-list__>butlast[]]\"><th><<header>></th></$list>\n<!-- We have the last column extend into the delete/link column, which is unlabeled. -->\n<th colspan=2><$text text={{{ [enlist<__header-list__>last[]] }}} /></th>\n</tr>\n\n<<.make-table Custom \"\" yes>>\n\n<$list\n\tfilter=\"[plugin-type[plugin]![$:/core]![$:/plugins/flibbles/relink]]\">\n<$set name=\"subtitle\" value={{!!description}} emptyValue={{!!title}} >\n<$macrocall $name=\".make-table\" title=<<subtitle>> plugin=<<currentTiddler>> />\n</$set>\n</$list>\n\n<<.make-table Core \"$:/plugins/flibbles/relink\">>\n\n</tbody></table>\n</$vars>\n\\end\n"
        },
        "$:/plugins/flibbles/relink/ui/configuration/Attributes": {
            "title": "$:/plugins/flibbles/relink/ui/configuration/Attributes",
            "caption": "{{$:/plugins/flibbles/relink/language/ui/Attributes/Caption}}",
            "tags": "$:/tags/flibbles/relink/Configuration",
            "text": "\\import $:/plugins/flibbles/relink/ui/components/tables\n\\define prefix-attr() $:/config/flibbles/relink/attributes/\n\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\\define element-name-tiddler() $:/state/flibbles/relink/element-name\n\\define attribute-name-tiddler() $:/state/flibbles/relink/attribute-name\n\n\\define row()\n<$set name=\"element\"\n      filter=\"[<key>splitbefore[/]removesuffix[/]]\">\n<$set name=\"attribute\"\n      filter=\"[<key>removeprefix<element>removeprefix[/]]\">\n<td><$text text=<<element>> /></td>\n<td><$text text=<<attribute>> /></td>\n</$set></$set>\n\\end\n\\define body()\n\n{{$:/plugins/flibbles/relink/language/Help/Attributes}}\n\n<em class=\"tc-edit\">Add a new attribute:</em>\n<$edit-text\n\ttiddler=<<element-name-tiddler>>\n\ttag=\"input\"\n\tdefault=\"\"\n\tplaceholder=\"widget/element\" />\n<$edit-text\n\ttiddler=<<attribute-name-tiddler>>\n\ttag=\"input\"\n\tdefault=\"\"\n\tplaceholder=\"attribute\" />\n<$reveal type=\"nomatch\" text=\"\" state=<<element-name-tiddler>> >\n<$reveal type=\"nomatch\" text=\"\" state=<<attribute-name-tiddler>> >\n<$relinkmangler>\n<$button\n\ttooltip={{$(lingo-base)$NewAttribute/Hint}}\n\taria-label={{$(lingo-base)$NewAttribute/Caption}}>\n<$action-sendmessage\n\t$message=\"relink-add-attribute\"\n\telement={{$(element-name-tiddler)$}}\n\tattribute={{$(attribute-name-tiddler)$}} />\n<$action-deletetiddler $tiddler=<<attribute-name-tiddler>> />\n<$action-deletetiddler $tiddler=<<element-name-tiddler>> />\n<$text text={{$(lingo-base)$NewAttribute/Caption}}/>\n</$button>\n</$relinkmangler>\n</$reveal>\n<$reveal type=\"match\" text=\"\" state=<<attribute-name-tiddler>> >\n<$button>\n<$text text={{$(lingo-base)$NewAttribute/Caption}}/>\n</$button>\n</$reveal>\n</$reveal>\n<$reveal type=\"match\" text=\"\" state=<<element-name-tiddler>> >\n<$button>\n<$text text={{$(lingo-base)$NewAttribute/Caption}}/>\n</$button>\n</$reveal>\n\n<$macrocall\n\t$name=tables\n\tcategory=\"attributes\"\n\theader-list=\"[[Widget/HTML Element]] Attribute Type\"\n\tlist-row-macro=\"row\" />\n\\end\n\n<<body>>\n"
        },
        "$:/plugins/flibbles/relink/ui/configuration/Fields": {
            "title": "$:/plugins/flibbles/relink/ui/configuration/Fields",
            "caption": "{{$:/plugins/flibbles/relink/language/ui/Fields/Caption}}",
            "tags": "$:/tags/flibbles/relink/Configuration",
            "text": "\\import $:/plugins/flibbles/relink/ui/components/tables\n\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\\define field-name-tiddler() $:/state/flibbles/relink/field-name\n\n\\define row()\n<td><$text text=<<key>> /></td>\n\\end\n\\define body()\n\n{{$:/plugins/flibbles/relink/language/Help/Fields}}\n\n<em class=\"tc-edit\">Add a new field:</em>\n<$edit-text\n\ttiddler=<<field-name-tiddler>>\n\ttag=\"input\"\n\tdefault=\"\"\n\tplaceholder=\"field name\" />\n<$reveal type=\"nomatch\" text=\"\" state=<<field-name-tiddler>> >\n<$relinkmangler>\n<$button\n\ttooltip={{$(lingo-base)$NewField/Hint}}\n\taria-label={{$(lingo-base)$NewField/Caption}}>\n<$action-sendmessage\n\t$message=\"relink-add-field\"\n\tfield={{$(field-name-tiddler)$}} />\n<$action-deletetiddler $tiddler=<<field-name-tiddler>> />\n<$text text={{$(lingo-base)$NewField/Caption}}/>\n</$button>\n</$relinkmangler>\n</$reveal>\n<$reveal type=\"match\" text=\"\" state=<<field-name-tiddler>> >\n<$button>\n<$text text={{$(lingo-base)$NewField/Caption}}/>\n</$button>\n</$reveal>\n\n\n<$macrocall\n\t$name=tables\n\tcategory=\"fields\"\n\theader-list=\"[[Field Name]] [[Field Type]]\"\n\tlist-row-macro=\"row\" />\n\\end\n\n<<body>>\n"
        },
        "$:/plugins/flibbles/relink/ui/configuration/Macros": {
            "title": "$:/plugins/flibbles/relink/ui/configuration/Macros",
            "caption": "{{$:/plugins/flibbles/relink/language/ui/Macros/Caption}}",
            "tags": "$:/tags/flibbles/relink/Configuration",
            "text": "\\import $:/plugins/flibbles/relink/ui/components/tables\n\\define prefix-macro() $:/config/flibbles/relink/macros/\n\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\\define macro-name-tiddler() $:/state/flibbles/relink/macro-name\n\\define parameter-name-tiddler() $:/state/flibbles/relink/parameter-name\n\n\\define row()\n<$set name=\"parameter\"\n      filter=\"[<key>relink:splitafter[/]]\">\n<$set name=\"macro\"\n      filter=\"[<key>removesuffix<parameter>removesuffix[/]]\">\n<td><$text text=<<macro>> /></td>\n<td><$text text=<<parameter>> /></td>\n</$set></$set>\n\\end\n\\define body()\n\n{{$:/plugins/flibbles/relink/language/Help/Macros}}\n\n<em class=\"tc-edit\">Add a new macro parameter:</em>\n<$edit-text\n\ttiddler=<<macro-name-tiddler>>\n\ttag=\"input\"\n\tdefault=\"\"\n\tplaceholder=\"macro\" />\n<$edit-text\n\ttiddler=<<parameter-name-tiddler>>\n\ttag=\"input\"\n\tdefault=\"\"\n\tplaceholder=\"parameter\" />\n<$reveal type=\"nomatch\" text=\"\" state=<<macro-name-tiddler>> >\n<$reveal type=\"nomatch\" text=\"\" state=<<parameter-name-tiddler>> >\n<$relinkmangler>\n<$button\n\ttooltip={{$(lingo-base)$NewParameter/Hint}}\n\taria-label={{$(lingo-base)$NewParameter/Caption}}>\n<$action-sendmessage\n\t$message=\"relink-add-parameter\"\n\tmacro={{$(macro-name-tiddler)$}}\n\tparameter={{$(parameter-name-tiddler)$}} />\n<$action-deletetiddler $tiddler=<<parameter-name-tiddler>> />\n<$action-deletetiddler $tiddler=<<macro-name-tiddler>> />\n<$text text={{$(lingo-base)$NewParameter/Caption}}/>\n</$button>\n</$relinkmangler>\n</$reveal>\n<$reveal type=\"match\" text=\"\" state=<<parameter-name-tiddler>> >\n<$button>\n<$text text={{$(lingo-base)$NewParameter/Caption}}/>\n</$button>\n</$reveal>\n</$reveal>\n<$reveal type=\"match\" text=\"\" state=<<macro-name-tiddler>> >\n<$button>\n<$text text={{$(lingo-base)$NewParameter/Caption}}/>\n</$button>\n</$reveal>\n\n\n<$macrocall\n\t$name=tables\n\tcategory=\"macros\"\n\theader-list=\"Macro Parameter Type\"\n\tlist-row-macro=\"row\" />\n\\end\n\n<<body>>\n"
        },
        "$:/plugins/flibbles/relink/ui/configuration/Operators": {
            "title": "$:/plugins/flibbles/relink/ui/configuration/Operators",
            "caption": "{{$:/plugins/flibbles/relink/language/ui/Operators/Caption}}",
            "tags": "$:/tags/flibbles/relink/Configuration",
            "text": "\\import $:/plugins/flibbles/relink/ui/components/tables\n\\define lingo-base() $:/plugins/flibbles/relink/language/Buttons/\n\\define operator-name-tiddler() $:/state/flibbles/relink/operator-name\n\n\\define row()\n<td><$text text=<<key>> /></td>\n\\end\n\\define body()\n\n{{$:/plugins/flibbles/relink/language/Help/Operators}}\n\n<em class=\"tc-edit\">Add a new filter operator:</em>\n<$edit-text\n\ttiddler=<<operator-name-tiddler>>\n\ttag=\"input\"\n\tdefault=\"\"\n\tplaceholder=\"operator name\" />\n<$reveal type=\"nomatch\" text=\"\" state=<<operator-name-tiddler>>>\n<$relinkmangler>\n<$button\n\ttooltip={{$(lingo-base)$NewOperator/Hint}}\n\taria-label={{$(lingo-base)$NewOperator/Caption}}>\n<$action-sendmessage\n\t$message=\"relink-add-operator\"\n\toperator={{$(operator-name-tiddler)$}} />\n<$action-deletetiddler $tiddler=<<operator-name-tiddler>> />\n<$text text={{$(lingo-base)$NewOperator/Caption}}/>\n</$button>\n</$relinkmangler>\n</$reveal>\n<$reveal type=\"match\" text=\"\" state=<<operator-name-tiddler>>>\n<$button>\n<$text text={{$(lingo-base)$NewOperator/Caption}}/>\n</$button>\n</$reveal>\n\n<$macrocall\n\t$name=tables\n\tcategory=\"operators\"\n\theader-list=\"[[Filter Operator]] [[Operand Type]]\"\n\tlist-row-macro=\"row\" />\n\\end\n\n<<body>>\n"
        },
        "$:/plugins/flibbles/relink/ui/stylesheet.css": {
            "title": "$:/plugins/flibbles/relink/ui/stylesheet.css",
            "text": ".tc-relink-references {\n}\n\n.tc-relink-references-table {\n\twidth: 100%;\n\tborder: none;\n}\n\n.tc-relink-references-table td {\n\tborder-left: none;\n}\n\n.tc-relink-references-table tr:first-child td {\n\tborder-top: none;\n}\n\n.tc-relink-references-title {\n\ttext-align: left;\n\tvertical-align: top;\n}\n\n.tc-relink-references-occurrence {\n\tfont-style: italic;\n\ttext-align: left;\n\tfont-weight: 200;\n\tpadding-left: 25px;\n\tvertical-align: top;\n}\n\n.tc-relink-header-plugin {\n\ttext-align: left;\n}\n\n.tc-relink-header-plugin button {\n\twidth: 100%\n}\n\n.tc-relink-column-type {\n\twidth: 8em;\n}\n\n.tc-relink-column-type select {\n\twidth: 100%;\n}\n\n.tc-relink-column-delete {\n\tborder-left: none;\n\ttext-align: left;\n}\n\n.tc-relink-column-delete button {\n\tpadding-left: 1em;\n}\n\n.tc-relink-impossible a.tc-tiddlylink {\n\tcolor: red;\n}\n",
            "tags": "$:/tags/Stylesheet",
            "type": "text/css"
        }
    }
}
{
    "tiddlers": {
        "$:/plugins/rmnvsl/krystal/buttons/maximize": {
            "title": "$:/plugins/rmnvsl/krystal/buttons/maximize",
            "caption": "{{$:/plugins/rmnvsl/krystal/images/maximize-tiddler}} maximize tiddler",
            "description": "Make tiddler full-width",
            "tags": "$:/tags/ViewToolbar $:/tags/EditToolbar",
            "type": "text/vnd.tiddlywiki",
            "text": "<$button tooltip=\"Make tiddler full-width\" aria-label=\"maximize tiddler\" class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-maximize\" $param=<<currentTiddler>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/plugins/rmnvsl/krystal/images/maximize-tiddler}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">maximize tiddler</span>\n</$list>\n</$button>"
        },
        "$:/plugins/rmnvsl/krystal/config/close": {
            "title": "$:/plugins/rmnvsl/krystal/config/close",
            "text": "enable"
        },
        "$:/plugins/rmnvsl/krystal/config/highlight": {
            "title": "$:/plugins/rmnvsl/krystal/config/highlight",
            "text": "enable"
        },
        "$:/plugins/rmnvsl/krystal/config/tiddlerpadding": {
            "title": "$:/plugins/rmnvsl/krystal/config/tiddlerpadding",
            "text": "42"
        },
        "$:/plugins/rmnvsl/krystal/config/tiddlerwidth": {
            "title": "$:/plugins/rmnvsl/krystal/config/tiddlerwidth",
            "text": "600"
        },
        "$:/plugins/rmnvsl/krystal/header.css": {
            "title": "$:/plugins/rmnvsl/krystal/header.css",
            "text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline html\n\n.krystal-header {\n  background: <<color tiddler-background>>;\n  border-bottom: 1px solid <<color page-background>>;\n  padding: 1em;\n  position: relative;\n  z-index: 10;\n  text-align: center;\n}\n\n.krystal-header > * {\n  margin: 0;\n}\n\n.krystal-header > * + * {\n  margin: 0.5em 0 0 0;\n}\n\n.krystal-header > h1 {\n  font-size: 1.5rem;\n}\n\n.krystal-header .tc-sidebar-search {\n  margin-left: auto;\n}\n\n.krystal-header .tc-sidebar-search > p {\n  margin: 0;\n}\n\n@media (min-width: 960px) {\n  .krystal-header {\n    display: flex;\n    flex-wrap: wrap;\n    align-items: center;\n    text-align: inherit;\n  }\n\n  .krystal-header > * + * {\n    margin: 0 0 0 1em;\n  }\n}",
            "tags": "$:/tags/Stylesheet"
        },
        "$:/plugins/rmnvsl/krystal/header": {
            "title": "$:/plugins/rmnvsl/krystal/header",
            "tags": "$:/tags/PageTemplate",
            "list": "$:/core/ui/SideBarSegments/site-title $:/core/ui/SideBarSegments/site-subtitle $:/core/ui/SideBarSegments/page-controls $:/plugins/rmnvsl/krystal/headertools $:/core/ui/SideBarSegments/search",
            "list-before": "$:/core/ui/PageTemplate/topleftbar",
            "text": "<header class=\"krystal-header\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/plugins/rmnvsl/krystal/header]!has[draft.of]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</header>"
        },
        "$:/plugins/rmnvsl/krystal/headertools": {
            "title": "$:/plugins/rmnvsl/krystal/headertools",
            "tags": "$:/plugins/rmnvsl/krystal/header",
            "text": "<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\">\n<$button class=\"tc-btn-invisible tc-tiddlylink\" to=<<currentTiddler>>>\n<$transclude tiddler=\"$buttonTemplate$\" mode=\"inline\">\n<$transclude tiddler=<<currentTiddler>> field=\"caption\">\n<$macrocall $name=\"currentTiddler\" $type=\"text/plain\" $output=\"text/plain\"/>\n</$transclude>\n</$transclude>\n</$button>\n</$list>"
        },
        "$:/plugins/rmnvsl/krystal/horizontal.js": {
            "title": "$:/plugins/rmnvsl/krystal/horizontal.js",
            "text": "/*\\\ntitle: $:/plugins/rmnvsl/krystal/horizontal.js\ntype: application/javascript\nmodule-type: storyview\n\nHandles tiddlers position\n\n\\*/\n(function () {\n  var easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\n  var HorizontalStoryView = function (listWidget) {\n    this.listWidget = listWidget;\n  };\n\n  HorizontalStoryView.prototype.navigateTo = function (historyInfo) {\n    const listElementIndex = this.listWidget.findListItem(0, historyInfo.title);\n    const lastTiddlerName = this.listWidget.list.slice(-1)[0];\n    const currentTiddlerName = historyInfo.title;\n\n    if (listElementIndex === undefined) {\n      return;\n    }\n\n    const listItemWidget = this.listWidget.children[listElementIndex];\n    const targetElement = listItemWidget.findFirstDomNode();\n\n    // Abandon if the list entry isn't a DOM element (it might be a text node)\n    if (!(targetElement instanceof Element)) {\n      return;\n    }\n\n    // Scroll the node into view\n    this.listWidget.dispatchEvent({\n      type: \"tm-scroll\",\n      target: targetElement,\n      delay: lastTiddlerName === currentTiddlerName,\n    });\n  };\n\n  HorizontalStoryView.prototype.insert = function (widget) {\n    const duration = $tw.utils.getAnimationDuration();\n\n    if (duration) {\n      const targetElement = widget.findFirstDomNode();\n\n      // Abandon if the list entry isn't a DOM element (it might be a text node)\n      if (!(targetElement instanceof Element)) {\n        return;\n      }\n\n      const currWidth = targetElement.offsetWidth;\n\n      setTimeout(() => (targetElement.style.cssText = \"\"), duration);\n\n      // Set up the initial position of the element\n      $tw.utils.setStyle(targetElement, [\n        { transition: \"none\" },\n        { transform: \"scale(0.85)\" },\n        { opacity: \"0\" },\n        { marginLeft: `-${currWidth}px` },\n      ]);\n\n      $tw.utils.forceLayout(targetElement);\n\n      // Transition to the final position\n      $tw.utils.setStyle(targetElement, [\n        {\n          transition: `opacity ${duration}ms ${easing}, margin ${duration}ms ${easing}, transform ${duration}ms ${easing}`,\n        },\n        { transform: \"scale(1)\" },\n        { opacity: \"1\" },\n        { marginLeft: \"0\" },\n      ]);\n    }\n  };\n\n  HorizontalStoryView.prototype.remove = function (widget) {\n    const duration = $tw.utils.getAnimationDuration();\n\n    if (duration) {\n      const targetElement = widget.findFirstDomNode();\n      const removeElement = () => widget.removeChildDomNodes();\n\n      // Abandon if the list entry isn't a DOM element (it might be a text node)\n      if (!(targetElement instanceof Element)) {\n        removeElement();\n        return;\n      }\n\n      const currWidth = targetElement.offsetWidth;\n\n      // Remove the dom nodes of the widget at the end of the transition\n      setTimeout(removeElement, duration);\n\n      // Animate the closure\n      $tw.utils.setStyle(targetElement, [\n        { transition: \"none\" },\n        { transform: \"scale(1)\" },\n        { opacity: \"1\" },\n        { marginLeft: \"0\" },\n      ]);\n\n      $tw.utils.forceLayout(targetElement);\n\n      $tw.utils.setStyle(targetElement, [\n        {\n          transition: `opacity ${duration}ms ${easing}, margin ${duration}ms ${easing}, transform ${duration}ms ${easing}`,\n        },\n        { transform: \"scale(0.85)\" },\n        { marginLeft: `-${currWidth}px` },\n        { opacity: \"0\" },\n      ]);\n    } else {\n      widget.removeChildDomNodes();\n    }\n  };\n\n  exports.horizontal = HorizontalStoryView;\n})();\n",
            "type": "application/javascript",
            "module-type": "storyview"
        },
        "$:/plugins/rmnvsl/krystal/images/maximize-tiddler": {
            "title": "$:/plugins/rmnvsl/krystal/images/maximize-tiddler",
            "tags": "$:/tags/Image",
            "type": "text/vnd.tiddlywiki",
            "text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-fixed-height tc-image-button\" viewBox=\"0 0 128 128\" transform=\"rotate(90)\"><path fill-rule=\"evenodd\" d=\"M60 35.657l-9.172 9.171a4 4 0 11-5.656-5.656l16-16a4 4 0 015.656 0l16 16a4 4 0 01-5.656 5.656L68 35.657v57.686l9.172-9.171a4 4 0 115.656 5.656l-16 16a4 4 0 01-5.656 0l-16-16a4 4 0 115.656-5.656L60 93.343V35.657zM16 116h96a4 4 0 100-8H16a4 4 0 100 8zm0-96h96a4 4 0 100-8H16a4 4 0 100 8z\"/></svg>"
        },
        "$:/plugins/rmnvsl/krystal/plugin.js": {
            "title": "$:/plugins/rmnvsl/krystal/plugin.js",
            "text": "/*\\\ntitle: $:/plugins/rmnvsl/krystal/plugin.js\ntype: application/javascript\nmodule-type: startup\n\nSets plugin behavior\n\n\\*/\n(function () {\n  const STORY_TIDDLER_TITLE = \"$:/StoryList\";\n  const ACTIVE_LINK_CLASS = \"krystal-link--active\";\n  const MAXIMIZED_TIDDLER_CLASS = \"krystal-tiddler__frame--maximized\";\n\n  exports.after = [\"render\"];\n\n  exports.startup = function () {\n    header();\n\n    window.addEventListener(\"resize\", header);\n\n    const throttledTiddlerFrameEffects = throttle(tiddlerFrameEffects, 100);\n    window.addEventListener(\"scroll\", throttledTiddlerFrameEffects, true);\n\n    $tw.rootWidget.addEventListener(\"tm-scroll\", function (event) {\n      if (event.type === \"tm-scroll\") {\n        scroll(event.target, event.delay);\n      }\n    });\n\n    $tw.rootWidget.addEventListener(\"tm-maximize\", function (event) {\n      if (event.type === \"tm-maximize\") {\n        tiddlerFullscreen(event.param);\n      }\n    });\n\n    $tw.hooks.addHook(\"th-navigating\", closeTiddlersToRight);\n\n    $tw.wiki.addEventListener(\"change\", highlightOpenTiddlerLinks);\n    $tw.wiki.addEventListener(\"change\", reinitiateTiddlerFrameEffects);\n  };\n\n  function highlightOpenTiddlerLinks(changes) {\n    if (!$tw.utils.hop(changes, STORY_TIDDLER_TITLE)) {\n      return;\n    }\n\n    const config = $tw.wiki.getTiddler(\n      \"$:/plugins/rmnvsl/krystal/config/highlight\"\n    );\n\n    if (config && config.fields && config.fields.text === \"disable\") {\n      return;\n    }\n\n    const tiddlers = $tw.wiki.getTiddlerList(STORY_TIDDLER_TITLE);\n\n    Array.from(\n      document.querySelectorAll(`.${ACTIVE_LINK_CLASS}`)\n    ).forEach((link) => link.classList.remove(ACTIVE_LINK_CLASS));\n\n    tiddlers.forEach((tiddler) => {\n      Array.from(\n        document.querySelectorAll(\n          `.tc-tiddler-body a[href=\"#${encodeURIComponent(tiddler)}\"]`\n        )\n      ).forEach((link) => link.classList.add(ACTIVE_LINK_CLASS));\n    });\n  }\n\n  function header() {\n    const height = document.querySelector(\".krystal-header\").offsetHeight;\n    document.documentElement.style.setProperty(\n      \"--krystal-header-height\",\n      `${height}px`\n    );\n  }\n\n  function scroll(tiddlerElement, delay) {\n    const mediaQueryList = window.matchMedia(\"(min-width: 960px)\");\n    const duration = $tw.utils.getAnimationDuration();\n\n    if (mediaQueryList.matches) {\n      var storyRiver = tiddlerElement.parentElement;\n\n      var tiddlerPosition = Array.from(\n        storyRiver.querySelectorAll(\"div[data-tiddler-title]\")\n      ).indexOf(tiddlerElement);\n      var tiddlerWidth = tiddlerElement.offsetWidth;\n      var windowWidth = window.innerWidth;\n\n      var position = windowWidth / 2 - tiddlerWidth / 2;\n      var newRiverPosition = Math.max(\n        tiddlerPosition * tiddlerWidth - position,\n        0\n      );\n\n      setTimeout(\n        () => storyRiver.scroll({ left: newRiverPosition, behavior: \"smooth\" }),\n        delay ? duration : 0\n      );\n    } else {\n      tiddlerElement.scrollIntoView({ behavior: \"smooth\" });\n    }\n  }\n\n  function tiddlerFrameEffects() {\n    var tiddlers = Array.from(document.querySelectorAll(\".tc-tiddler-frame\"));\n    var tiddlersCount = tiddlers.length;\n\n    if (tiddlersCount === 0) {\n      return;\n    }\n\n    var offset = 100;\n    var tiddlerPadding = Number(\n      window.getComputedStyle(tiddlers[0]).paddingRight.slice(0, -2)\n    );\n    var tiddlerWidth = tiddlers[0].offsetWidth;\n    var windowWidth = window.innerWidth;\n\n    tiddlers.forEach(function (tiddler, i) {\n      if (i === 0) {\n        return;\n      }\n\n      var tiddlerTitle = tiddler.querySelector(\".krystal-tiddler__title\");\n\n      // Edit Template\n      if (!tiddlerTitle) {\n        return;\n      }\n\n      var previousTiddler = tiddlers[i - 1];\n      var previousTiddlerTitle = previousTiddler.querySelector(\n        \".krystal-tiddler__title\"\n      );\n\n      var x = tiddler.getBoundingClientRect().left;\n\n      var start = x < offset + i * tiddlerPadding;\n      var end =\n        x > windowWidth - (offset + (tiddlersCount - i) * tiddlerPadding);\n\n      var startOverlay = x < tiddlerWidth + (i - 1) * tiddlerPadding;\n\n      tiddler.classList.toggle(\"krystal-tiddler__frame--overlay\", startOverlay);\n\n      if (previousTiddlerTitle) {\n        previousTiddlerTitle.classList.toggle(\n          \"krystal-tiddler__title--start-active\",\n          start\n        );\n\n        if (!end) {\n          previousTiddler.classList.toggle(\n            \"krystal-tiddler__frame--hide\",\n            start\n          );\n        }\n      }\n\n      if (start) {\n        tiddlerTitle.classList.remove(\"krystal-tiddler__title--end\");\n      }\n\n      if (end) {\n        tiddler.classList.add(\"krystal-tiddler__frame--overlay\");\n        tiddler.classList.add(\"krystal-tiddler__frame--hide\");\n        tiddlerTitle.classList.add(\n          \"krystal-tiddler__title--end\",\n          \"krystal-tiddler__title--end-active\"\n        );\n      } else {\n        if (!startOverlay) {\n          tiddler.classList.remove(\"krystal-tiddler__frame--overlay\");\n        }\n\n        tiddler.classList.remove(\"krystal-tiddler__frame--hide\");\n        tiddlerTitle.classList.remove(\"krystal-tiddler__title--end-active\");\n      }\n    });\n  }\n\n  function reinitiateTiddlerFrameEffects(changes) {\n    if (!$tw.utils.hop(changes, STORY_TIDDLER_TITLE)) {\n      return;\n    }\n    var duration = $tw.utils.getAnimationDuration() || 0;\n    setTimeout(tiddlerFrameEffects, duration);\n  }\n\n  function closeTiddlersToRight(event) {\n    const storyTiddler = $tw.wiki.getTiddler(STORY_TIDDLER_TITLE);\n    const tiddlers = $tw.wiki.getTiddlerList(STORY_TIDDLER_TITLE);\n\n    const navigateFrom = event.navigateFromTitle;\n    const navigateTo = event.navigateTo;\n\n    const config = $tw.wiki.getTiddler(\n      \"$:/plugins/rmnvsl/krystal/config/close\"\n    );\n\n    if (config && config.fields && config.fields.text === \"disable\") {\n      return event;\n    }\n\n    // Navigating from outside open tiddlers\n    if (!navigateFrom) {\n      return event;\n    }\n\n    // Destination tiddler already open\n    if (tiddlers.indexOf(navigateTo) === -1) {\n      const currentTiddlerIndex = tiddlers.indexOf(navigateFrom);\n      const tiddlersToClose = tiddlers.slice(currentTiddlerIndex + 1);\n\n      if (tiddlersToClose.length === 0) {\n        return event;\n      }\n\n      const newStoryList = tiddlers.filter(\n        (title) => !tiddlersToClose.includes(title)\n      );\n\n      $tw.wiki.addTiddler(\n        new $tw.Tiddler({ title: STORY_TIDDLER_TITLE }, storyTiddler, {\n          list: newStoryList,\n        })\n      );\n    }\n\n    return event;\n  }\n\n  function tiddlerFullscreen(tiddlerTitle) {\n    const tiddler = document.querySelector(\n      `div[data-tiddler-title=\"${tiddlerTitle}\"]`\n    );\n\n    tiddler.classList.toggle(MAXIMIZED_TIDDLER_CLASS);\n  }\n\n  // ---\n\n  function throttle(callback, limit) {\n    var wait = false; // Initially, we're not waiting\n\n    return function () {\n      // We return a throttled function\n      if (!wait) {\n        // If we're not waiting\n        callback.call(); // Execute users function\n        wait = true; // Prevent future invocations\n        setTimeout(function () {\n          // After a period of time\n          wait = false; // And allow future invocations\n        }, limit);\n      }\n    };\n  }\n})();\n",
            "type": "application/javascript",
            "module-type": "startup"
        },
        "$:/plugins/rmnvsl/krystal/readme": {
            "title": "$:/plugins/rmnvsl/krystal/readme",
            "text": "Horizontal story view for tiddlers and bi-directional links.\n\nHomepage: https://github.com/crazko/krystal\n\nMade by [[Roman Veselý|https://romanvesely.com/]] - <span class=\"krystal-icon\">{{$:/core/images/github}}</span> [[@crazko|https://github.com/crazko]], <span class=\"krystal-icon\">{{$:/core/images/twitter}}</span> [[@rmnvsl|https://twitter.com/rmnvsl]]"
        },
        "$:/plugins/rmnvsl/krystal/references.css": {
            "title": "$:/plugins/rmnvsl/krystal/references.css",
            "text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline html\n\n.krystal-references {\n  background: <<color page-background>>;\n  font-size: 0.75em;\n  padding: 0.5rem;\n  list-style: none;\n  margin-top: 3rem;\n  margin-bottom: 0;\n  \n  display: flex;\n  flex-wrap: wrap;\n}\n\n.krystal-references__title {\n  font-size: 1.25em;\n  width: 100%;\n  padding: 0.5rem;\n}\n\n.krystal-references__reference {\n  width: 50%;\n}\n\n.krystal-references__reference > a {\n  color: inherit;\n  background: inherit;\n  display: block;\n  text-decoration: none;\n  padding: 0.5rem;\n  height: 130px;\n  overflow: hidden;\n  position: relative;\n  transition: all 0.125s ease;\n}\n\n.krystal--static .krystal-references__reference > a {\n  height: initial;\n  overflow: initial;\n}\n\n.krystal-references__reference > a:hover {\n  color: <<color sidebar-tab-foreground>>;\n  background: <<color sidebar-tab-background>>;\n  text-decoration: none;\n}\n\n.krystal--static .krystal-references__content {\n  height: 130px;\n  overflow: hidden;\n}\n\n.krystal-references__content a {\n  color: inherit !important;\n  text-decoration: none !important;\n  pointer-events: none;\n}",
            "tags": "$:/tags/Stylesheet"
        },
        "$:/plugins/rmnvsl/krystal/references": {
            "title": "$:/plugins/rmnvsl/krystal/references",
            "tags": "$:/tags/ViewTemplate",
            "text": "<$list filter=\"[!is[system]all[current]backlinks[]sort[title]] -[is[current]] +[limit[1]]\" variable=none>\n<ul class=\"krystal-references\">\n<li class=\"krystal-references__title\"><strong><$transclude tiddler=\"$:/plugins/rmnvsl/krystal/referenceshere\" field=\"text\" mode=\"inline\" /></strong></li>\n<$list filter=\"[!is[system]all[current]backlinks[]sort[title]] -[is[current]]\">\n<li class=\"krystal-references__reference\">\n<$link>\n<b><$view field=\"title\" /></b>\n<div class=\"krystal-references__content\"><$transclude field=\"text\" mode=\"inline\" /></div>\n</$link>\n</li>\n</$list>\n</ul>\n</$list>"
        },
        "$:/plugins/rmnvsl/krystal/referenceshere": {
            "title": "$:/plugins/rmnvsl/krystal/referenceshere",
            "text": "Links to this note"
        },
        "$:/plugins/rmnvsl/krystal/river.css": {
            "title": "$:/plugins/rmnvsl/krystal/river.css",
            "text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline html\n\n.tc-tiddler-frame {\n  border: none;\n  border-bottom: 1px solid <<color page-background>>;\n  border-radius: 0;\n  box-shadow: none;\n  margin: 0;\n  flex-shrink: 0;\n  overflow-y: auto;\n  display: flex;\n  flex-direction: column;\n  position: sticky;\n}\n\n.tc-alerts + p {\n  margin: 0;\n}\n\n@media (min-width: 960px) {\n  .tc-dropzone {\n    height: 100vh;\n    display: flex;\n    flex-direction: column;\n  }\n\n  .tc-story-river {\n    padding: 0;\n    display: flex;\n    overflow-y: hidden;\n    height: 100%;\n  }\n\n  .krystal--static .tc-story-river {\n    max-height: 100vh;\n  }\n\n  .tc-tiddler-frame {\n    border: none;\n    border-right: 1px solid <<color page-background>>;\n    padding: var(--tiddler-padding);\n    width: var(--tiddler-width);\n  }\n\n  .tc-tiddler-frame > * {\n    transition: opacity 0.25s ease;\n  }\n\n  .krystal-link--active {\n    background: <<color message-background>>;\n  }\n\n  .krystal-tiddler__frame--hide > *:not(.krystal-tiddler__title) {\n    opacity: 0;\n  }\n    \n  .krystal-tiddler__frame--overlay {\n    box-shadow: 0 0 1em rgba(0, 0, 0, 0.125);\n  }\n\n  .krystal-tiddler__frame--maximized {\n    left: 0 !important;\n    right: 0 !important;\n    bottom: 0;\n    width: 100%;\n    z-index: 5;\n  }\n  \n  .tc-tiddler-frame:nth-of-type(1) { left: calc(0 * var(--tiddler-padding)) }\n  .tc-tiddler-frame:nth-of-type(2) { left: calc(1 * var(--tiddler-padding)) }\n  .tc-tiddler-frame:nth-of-type(3) { left: calc(2 * var(--tiddler-padding)) }\n  .tc-tiddler-frame:nth-of-type(4) { left: calc(3 * var(--tiddler-padding)) }\n  .tc-tiddler-frame:nth-of-type(5) { left: calc(4 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-of-type(6) { left: calc(5 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-of-type(7) { left: calc(6 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-of-type(8) { left: calc(7 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-of-type(9) { left: calc(8 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-of-type(10) { left: calc(9 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-of-type(11) { left: calc(10 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-of-type(12) { left: calc(11 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-of-type(13) { left: calc(12 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-of-type(14) { left: calc(13 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-of-type(15) { left: calc(14 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-of-type(16) { left: calc(15 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-of-type(17) { left: calc(16 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-of-type(18) { left: calc(17 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-of-type(19) { left: calc(18 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-of-type(20) { left: calc(19 * var(--tiddler-padding)); }\n\n  .tc-tiddler-frame:nth-last-of-type(1) { right: calc(-1 * var(--tiddler-width) + 1 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-last-of-type(2) { right: calc(-1 * var(--tiddler-width) + 2 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-last-of-type(3) { right: calc(-1 * var(--tiddler-width) + 3 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-last-of-type(4) { right: calc(-1 * var(--tiddler-width) + 4 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-last-of-type(5) { right: calc(-1 * var(--tiddler-width) + 5 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-last-of-type(6) { right: calc(-1 * var(--tiddler-width) + 6 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-last-of-type(7) { right: calc(-1 * var(--tiddler-width) + 7 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-last-of-type(8) { right: calc(-1 * var(--tiddler-width) + 8 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-last-of-type(9) { right: calc(-1 * var(--tiddler-width) + 9 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-last-of-type(10) { right: calc(-1 * var(--tiddler-width) + 10 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-last-of-type(11) { right: calc(-1 * var(--tiddler-width) + 11 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-last-of-type(12) { right: calc(-1 * var(--tiddler-width) + 12 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-last-of-type(13) { right: calc(-1 * var(--tiddler-width) + 13 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-last-of-type(14) { right: calc(-1 * var(--tiddler-width) + 14 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-last-of-type(15) { right: calc(-1 * var(--tiddler-width) + 15 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-last-of-type(16) { right: calc(-1 * var(--tiddler-width) + 16 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-last-of-type(17) { right: calc(-1 * var(--tiddler-width) + 17 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-last-of-type(18) { right: calc(-1 * var(--tiddler-width) + 18 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-last-of-type(19) { right: calc(-1 * var(--tiddler-width) + 19 * var(--tiddler-padding)); }\n  .tc-tiddler-frame:nth-last-of-type(20) { right: calc(-1 * var(--tiddler-width) + 20 * var(--tiddler-padding)); }\n\n  .krystal--static .tc-tiddler-frame {\n    left: initial;\n    right: initial;\n  }\n}\n",
            "tags": "$:/tags/Stylesheet"
        },
        "$:/plugins/rmnvsl/krystal/search": {
            "title": "$:/plugins/rmnvsl/krystal/search",
            "tags": "$:/plugins/rmnvsl/krystal/header",
            "type": "text/vnd.tiddlywiki",
            "text": "{{$:/core/ui/SideBarSegments/search}}"
        },
        "$:/plugins/rmnvsl/krystal/settings": {
            "title": "$:/plugins/rmnvsl/krystal/settings",
            "tags": "$:/tags/ControlPanel/Appearance",
            "caption": "Krystal",
            "text": "|<$link to=\"$:/plugins/rmnvsl/krystal/config/close\">Close tiddlers to the right</$link>|<$checkbox tiddler=\"$:/plugins/rmnvsl/krystal/config/close\" field=\"text\" checked=\"enable\" unchecked=\"disable\" default=\"enable\"></$checkbox>|\n|<$link to=\"$:/plugins/rmnvsl/krystal/config/highlight\">Highlight open tiddlers links</$link><br>//Refresh if still highlighted//|<$checkbox tiddler=\"$:/plugins/rmnvsl/krystal/config/highlight\" field=\"text\" checked=\"enable\" unchecked=\"disable\" default=\"enable\"></$checkbox>|\n|<$link to=\"$:/plugins/rmnvsl/krystal/config/tiddlerwidth\">Tiddler width</$link>|<$edit-text tiddler=\"$:/plugins/rmnvsl/krystal/config/tiddlerwidth\" default=\"\" tag=\"input\" type=\"number\" class=\"text-right\" />px|\n|<$link to=\"$:/plugins/rmnvsl/krystal/config/tiddlerpadding\">Tiddler padding</$link>|<$edit-text tiddler=\"$:/plugins/rmnvsl/krystal/config/tiddlerpadding\" default=\"\" tag=\"input\" type=\"number\" class=\"text-right\" />px|"
        },
        "$:/config/EditToolbarButtons/Visibility/$:/plugins/rmnvsl/krystal/buttons/maximize": {
            "title": "$:/config/EditToolbarButtons/Visibility/$:/plugins/rmnvsl/krystal/buttons/maximize",
            "type": "text/vnd.tiddlywiki",
            "text": "hide"
        },
        "$:/config/ViewToolbarButtons/Visibility/$:/plugins/rmnvsl/krystal/buttons/maximize": {
            "title": "$:/config/ViewToolbarButtons/Visibility/$:/plugins/rmnvsl/krystal/buttons/maximize",
            "type": "text/vnd.tiddlywiki",
            "text": "hide"
        },
        "$:/core/templates/exporters/StaticRiver": {
            "title": "$:/core/templates/exporters/StaticRiver",
            "description": "{{$:/language/Exporters/StaticRiver}}",
            "extension": ".html",
            "tags": "$:/tags/Exporter",
            "type": "text/vnd.tiddlywiki",
            "text": "\\define tv-wikilink-template() #$uri_encoded$\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body krystal--static\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n<section class=\"tc-story-river\">\n{{$:/core/templates/exporters/StaticRiver/Content||$:/core/templates/html-tiddler}}\n</section>\n</body>\n</html>\n"
        },
        "$:/core/ui/PageTemplate/sidebar": {
            "title": "$:/core/ui/PageTemplate/sidebar",
            "type": "text/vnd.tiddlywiki",
            "text": "\\whitespace trim\n\\define config-title()\n$:/config/SideBarSegments/Visibility/$(listItem)$\n\\end\n\n<$scrollable fallthrough=\"no\" class=\"tc-sidebar-scrollable\">\n\n<div class=\"tc-sidebar-header\">\n\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\" retain=\"yes\" animate=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBarSegment]!has[draft.of]]\" variable=\"listItem\">\n\n<$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"  tag=\"div\">\n\n<$transclude tiddler=<<listItem>> mode=\"block\"/>\n\n</$reveal>\n\n</$list>\n\n</$reveal>\n\n</div>\n\n</$scrollable>\n"
        },
        "$:/core/ui/SideBarSegments/page-controls": {
            "title": "$:/core/ui/SideBarSegments/page-controls",
            "tags": "$:/tags/SideBarSegment $:/plugins/rmnvsl/krystal/header",
            "type": "text/vnd.tiddlywiki",
            "text": "{{||$:/core/ui/PageTemplate/pagecontrols}}\n"
        },
        "$:/core/ui/SideBarSegments/site-subtitle": {
            "title": "$:/core/ui/SideBarSegments/site-subtitle",
            "tags": "$:/tags/SideBarSegment $:/plugins/rmnvsl/krystal/header",
            "type": "text/vnd.tiddlywiki",
            "text": "<div class=\"tc-site-subtitle\">\n\n<$transclude tiddler=\"$:/SiteSubtitle\" mode=\"inline\"/>\n\n</div>\n"
        },
        "$:/core/ui/SideBarSegments/site-title": {
            "title": "$:/core/ui/SideBarSegments/site-title",
            "tags": "$:/tags/SideBarSegment $:/plugins/rmnvsl/krystal/header",
            "type": "text/vnd.tiddlywiki",
            "text": "<h1 class=\"tc-site-title\">\n\n<$transclude tiddler=\"$:/SiteTitle\" mode=\"inline\"/>\n\n</h1>\n"
        },
        "$:/core/ui/TopBar/menu": {
            "title": "$:/core/ui/TopBar/menu",
            "type": "text/vnd.tiddlywiki",
            "text": "<$list filter=\"[[$:/state/sidebar]get[text]] +[else[yes]!match[no]]\" variable=\"ignore\">\n<$button set=\"$:/state/sidebar\" setTo=\"no\" tooltip={{$:/language/Buttons/HideSideBar/Hint}} aria-label={{$:/language/Buttons/HideSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}}</$button>\n</$list>\n<$list filter=\"[[$:/state/sidebar]get[text]] +[else[yes]match[no]]\" variable=\"ignore\">\n<$button set=\"$:/state/sidebar\" setTo=\"yes\" tooltip={{$:/language/Buttons/ShowSideBar/Hint}} aria-label={{$:/language/Buttons/ShowSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-left}}</$button>\n</$list>\n"
        },
        "$:/state/sidebar": {
            "title": "$:/state/sidebar",
            "text": "no"
        },
        "$:/view": {
            "title": "$:/view",
            "type": "text/vnd.tiddlywiki",
            "text": "horizontal"
        },
        "$:/plugins/rmnvsl/krystal/title.css": {
            "title": "$:/plugins/rmnvsl/krystal/title.css",
            "text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline html\n\n.krystal-tiddler__title {\n  display: none;\n}\n\n@media (min-width: 960px) {\n  .krystal-tiddler__title {\n    display: block;\n    line-height: var(--tiddler-padding);\n    bottom: 0px;\n    left: 0px;\n    position: sticky;\n    width: 0;\n    height: 0;\n    transform: rotate(-90deg);\n    margin-top: auto;\n    opacity: 0;\n    transition: opacity 0.25s ease;  \n  }\n\n  .krystal-tiddler__title--start-active,\n  .krystal-tiddler__title--end-active {\n    opacity: 1;\n  }\n\n  .krystal-tiddler__title > a {\n    color: <<color tiddler-title-foreground>> !important;\n    font-size: 1.5em;\n    font-weight: 400 !important;\n    text-decoration: none !important;\n    width: calc(100vh - var(--krystal-header-height) - ( 2 * var(--tiddler-padding)));\n    display: block;\n    overflow: hidden;\n    pointer-events: none;\n    margin-top: calc(var(--tiddler-padding) * -1);\n    transform: translateY(-2px);\n  }\n\n  .krystal-tiddler__title--start-active > a,\n  .krystal-tiddler__title--end-active> a {\n    pointer-events: initial;\n  }\n\n  .krystal-tiddler__title--end > a {\n    transform: translateY(2px) rotate(180deg);\n  }\n}\n",
            "tags": "$:/tags/Stylesheet"
        },
        "$:/plugins/rmnvsl/krystal/title": {
            "title": "$:/plugins/rmnvsl/krystal/title",
            "tags": "$:/tags/ViewTemplate",
            "text": "<div class=\"krystal-tiddler__title\">\n<$link>\n<$view field=title/>\n</$link>\n</div>\n"
        },
        "$:/plugins/rmnvsl/krystal/variables.css": {
            "title": "$:/plugins/rmnvsl/krystal/variables.css",
            "text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline html\n\n.tc-body {\n  --tiddler-padding: {{$:/plugins/rmnvsl/krystal/config/tiddlerpadding}}px;\n  --tiddler-width: {{$:/plugins/rmnvsl/krystal/config/tiddlerwidth}}px;\n}\n\n/* Utils */\n\n.text-right {\n  text-align: right;\n}\n\n.krystal-icon svg {\n  width: 1em;\n  height: 1em;\n  vertical-align: middle;\n}",
            "tags": "$:/tags/Stylesheet"
        }
    }
}
600
{
    "tiddlers": {
        "$:/plugins/snowgoon88/edit-comptext/config": {
            "title": "$:/plugins/snowgoon88/edit-comptext/config",
            "type": "application/json",
            "text": "{\n  \"configuration\": {\n      \"caseSensitive\" : false,\n      \"maxMatch\" : 8,\n      \"minPatLength\" : 2,\n      \"triggerKeyCombination\" : \"^ \"\n  },\n  \"template\": [{\n      \"pattern\": \"[[\",\n      \"filter\": \"[all[tiddlers]!is[system]]\",\n      \"start\": \"[[\",\n      \"end\": \"]]\"\n      }\n  ]\n}\n"
        },
        "$:/plugins/snowgoon88/edit-comptext/edit-comptext.js": {
            "title": "$:/plugins/snowgoon88/edit-comptext/edit-comptext.js",
            "text": "/*\\\ntitle: $:/plugins/snowgoon88/edit-comptext/edit-comptext.js\ntype: application/javascript\nmodule-type: widget\n\nTaken from original Edit-text widget\nVersion 5.1.13 of TW5\nAdd link-to-tiddler completion in framed.js and simple.js\n\nTODO : CHECK usefull, and particularly save_changes after every input ??\nTODO : where should popupNode be created in the DOM ?\nTODO : check that options are valid (numeric ?)\nvar isNumeric = function(n) {\n  return !isNaN(parseFloat(n)) && isFinite(n);\n};\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar editTextWidgetFactory = require(\"$:/core/modules/editor/factory.js\").editTextWidgetFactory,\n\tFramedCompEngine = require(\"$:/plugins/snowgoon88/edit-comptext/framed.js\").FramedCompEngine,\n\tSimpleCompEngine = require(\"$:/plugins/snowgoon88/edit-comptext/simple.js\").SimpleCompEngine;\n\nexports[\"edit-comptext\"] = editTextWidgetFactory(FramedCompEngine,SimpleCompEngine);\n\n})();\n",
            "type": "application/javascript",
            "module-type": "widget"
        },
        "$:/plugins/snowgoon88/edit-comptext/examples": {
            "title": "$:/plugins/snowgoon88/edit-comptext/examples",
            "text": "The configuration file [[$:/plugins/snowgoon88/edit-comptext/config]] allow you to use the completion plugin for various usages. Here are some examples...\n\n!! Link Completion\nThe basic and default usage. Completion is triggered by `[[`, the search is among all non-system tiddlers. When selected, the `title` of the tiddler is inserted in the text, surrounded by `[[` and `]]`. This gives the following Completion Template.\n\n\n```\n{\n      \"pattern\": \"[[\",\n      \"title\": \"[all[tiddlers]!is[system]]\",\n      \"start\": \"[[\",\n      \"end\": \"]]\"\n}\t     \n```\n\n\n!! Special macro completion\nI have a 'pnjin' macro that is invoked by `<<pnjin \"TiddlerPNJName\">>` where 'TiddlerPNJName is a tiddler that hold data about a PNJ. I use tiddlywiki to organise my Role Playing Games campaigns. So, I want `<p` to trigger the completion. The search is among all non-system tiddlers tagged `PNJ` and, once selected, the title of the tiddler must be inserted surrouned by `<<pnjin \\\"` and `\\\">>`. So...\n\n```\n{\n\t\"pattern\": \"<p\",\n      \t\"title\": \"[tag[PNJ]!is[system]]\",\n      \t\"start\": \"<<pnjin  \\\"\",\n      \t\"end\": \"\\\">>\"\n}\n```\n\n!! Insert some templates or stamp or snippets into text.\nI frequently use some text pattern and I want to insert them easily. So, I could create several tiddlers, tagged '$:stamp' and in their body are the piece of texte I want to insert. The titles of these tiddlers always start with `$:/config/stamp/` (i.e. $:/config/stamp/macro, $:/config/stamp/list1, $:/config/stamp/list2). I want to trigger the completion by using `<<`, then I only want to chose among the last part of the titles of tiddlers tagged `$:stamp` so I use a mask (`$:/config/stamp/`) to only display the last part of the tiddlers title. When selectected, the `body` of the tiddler is inserted, with no surrounding strings. As a results, the Completion Template is (notice the `body` field):\n\n```\n{\n      \"pattern\": \"<<\",\n      \"body\": \"[tag[$:stamp]]\",\n      \"mask\" : \"$:/config/stamp/\",\n      \"start\": \"\",\n      \"end\": \"\"\n}\n```\n\n!! And you ?\nIf you have funny usages of completion, let me know. If you'd like to do something that is not yet possible, let me know...\n\nmail : snowgoon88(AT)gmail(DOT)com"
        },
        "$:/plugins/snowgoon88/edit-comptext/framed.js": {
            "text": "/*\\\ntitle: $:/plugins/snowgoon88/edit-comptext/framed.js\ntype: application/javascript\nmodule-type: library\n\nTaken from $:/core/modules/editor/engines/framed.js\nText editor engine based on a simple input or textarea within an iframe. This is done so that the selection is preserved even when clicking away from the textarea\n\n\\*/\n(function(){\n\n/*jslint node: true,browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\n// Configuration tiddler\nvar COMPLETION_OPTIONS = \"$:/plugins/snowgoon88/edit-comptext/config\";\nvar Completion = require(\"$:/plugins/snowgoon88/edit-comptext/completion.js\").Completion;\n\t\nfunction FramedCompEngine(options) {\n       //DEBUG console.log( \"==FramedCompEngine::creation\" );\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\n\t// Completion\n\t// Load Completion configuration as JSON\n    this._configOptions = $tw.wiki.getTiddlerData( COMPLETION_OPTIONS, {} );\n\t\n\t// Create our hidden dummy text area for reading styles\n\tthis.dummyTextArea = this.widget.document.createElement(\"textarea\");\n\tif(this.widget.editClass) {\n\t\tthis.dummyTextArea.className = this.widget.editClass;\n\t}\n\tthis.dummyTextArea.setAttribute(\"hidden\",\"true\");\n\tthis.parentNode.insertBefore(this.dummyTextArea,this.nextSibling);\n\tthis.widget.domNodes.push(this.dummyTextArea);\n\t// Create dummy popup for reading its styles\n\t//this._dummyCompletion = new Completion( this.widget, this.dummyTextArea, this._configOptions);\n\t//REMOVEthis._dummyCompletion.setAttribute(\"hidden\",\"true\");\n\t\n\t// Create the iframe\n\tthis.iframeNode = this.widget.document.createElement(\"iframe\");\n\tthis.parentNode.insertBefore(this.iframeNode,this.nextSibling);\n\tthis.iframeDoc = this.iframeNode.contentWindow.document;\n\t// (Firefox requires us to put some empty content in the iframe)\n\tthis.iframeDoc.open();\n\tthis.iframeDoc.write(\"\");\n\tthis.iframeDoc.close();\n\t// Style the iframe\n\tthis.iframeNode.className = this.dummyTextArea.className;\n\tthis.iframeNode.style.border = \"none\";\n\tthis.iframeNode.style.padding = \"0\";\n\tthis.iframeNode.style.resize = \"none\";\n\tthis.iframeDoc.body.style.margin = \"0\";\n\tthis.iframeDoc.body.style.padding = \"0\";\n\tthis.widget.domNodes.push(this.iframeNode);\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.iframeDoc.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.iframeDoc.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\t// Copy the styles from the dummy textarea\n\tthis.copyStyles();\n\t// Add event listeners\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"input\",handlerObject: this,handlerMethod: \"handleInputEvent\"},\n\t\t{name: \"keydown\",handlerObject: this.widget,handlerMethod: \"handleKeydownEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.iframeDoc.body.appendChild(this.domNode);\n\n\t// add Completion popup\n    this._completion = new Completion( this.widget, this.domNode, this._configOptions, this.dummyTextArea, this.iframeNode.offsetTop, this.iframeNode.offsetLeft );\n\t// print iframe offset\n\t//DEBUG console.log( \"  __iframe.offsetLeft: \"+this.iframeNode.offsetLeft );\n    //DEBUG console.log( \"  __iframe.offsetTop: \"+this.iframeNode.offsetTop );\n    \n\t// Copy all styles from dummyCompletion\n\t//$tw.utils.copyStyles(this._dummyCompletion._popNode, this._completion._popNode);\n\t// Override the ones that should not be set the same as the dummy textarea\n\t//this._completion._popNode.style.display = \"block\";\n\t//this._completion._popNode.style.width = \"100%\";\n\t//this._completion._popNode.style.margin = \"0\";\n\t// In Chrome setting -webkit-text-fill-color overrides the placeholder text colour\n\t//this._completion._popNode.style[\"-webkit-text-fill-color\"] = \"currentcolor\";\n     \n}\n\n/*\nCopy styles from the dummy text area to the textarea in the iframe\n*/\nFramedCompEngine.prototype.copyStyles = function() {\n\t// Copy all styles\n\t$tw.utils.copyStyles(this.dummyTextArea,this.domNode);\n\t// Override the ones that should not be set the same as the dummy textarea\n\tthis.domNode.style.display = \"block\";\n\tthis.domNode.style.width = \"100%\";\n\tthis.domNode.style.margin = \"0\";\n\t// In Chrome setting -webkit-text-fill-color overrides the placeholder text colour\n\tthis.domNode.style[\"-webkit-text-fill-color\"] = \"currentcolor\";\n};\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nFramedCompEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode) {\n\t\t\tthis.domNode.value = text;\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nFramedCompEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nFramedCompEngine.prototype.fixHeight = function() {\n\t// Make sure styles are updated\n\tthis.copyStyles();\n\t// Adjust height\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\tvar newHeight = $tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t\tthis.iframeNode.style.height = (newHeight + 14) + \"px\"; // +14 for the border on the textarea\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t\tthis.iframeNode.style.height = (fixedHeight + 14) + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nFramedCompEngine.prototype.focus  = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nFramedCompEngine.prototype.handleInputEvent = function(event) {\n        //DEBUG console.log( \"__framed.js::handleInputEvent\");\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nFramedCompEngine.prototype.createTextOperation = function() {\n\tvar operation = {\n\t\ttext: this.domNode.value,\n\t\tselStart: this.domNode.selectionStart,\n\t\tselEnd: this.domNode.selectionEnd,\n\t\tcutStart: null,\n\t\tcutEnd: null,\n\t\treplacement: null,\n\t\tnewSelStart: null,\n\t\tnewSelEnd: null\n\t};\n\toperation.selection = operation.text.substring(operation.selStart,operation.selEnd);\n\treturn operation;\n};\n\n/*\nExecute a text operation\n*/\nFramedCompEngine.prototype.executeTextOperation = function(operation) {\n\t// Perform the required changes to the text area and the underlying tiddler\n\tvar newText = operation.text;\n\tif(operation.replacement !== null) {\n\t\tnewText = operation.text.substring(0,operation.cutStart) + operation.replacement + operation.text.substring(operation.cutEnd);\n\t\t// Attempt to use a execCommand to modify the value of the control\n\t\tif(this.iframeDoc.queryCommandSupported(\"insertText\") && this.iframeDoc.queryCommandSupported(\"delete\") && !$tw.browser.isFirefox) {\n\t\t\tthis.domNode.focus();\n\t\t\tthis.domNode.setSelectionRange(operation.cutStart,operation.cutEnd);\n\t\t\tif(operation.replacement === \"\") {\n\t\t\t\tthis.iframeDoc.execCommand(\"delete\",false,\"\");\n\t\t\t} else {\n\t\t\t\tthis.iframeDoc.execCommand(\"insertText\",false,operation.replacement);\n\t\t\t}\n\t\t} else {\n\t\t\tthis.domNode.value = newText;\n\t\t}\n\t\tthis.domNode.focus();\n\t\tthis.domNode.setSelectionRange(operation.newSelStart,operation.newSelEnd);\n\t}\n\tthis.domNode.focus();\n\treturn newText;\n};\n\nexports.FramedCompEngine = FramedCompEngine;\n\n})();\n",
            "type": "application/javascript",
            "title": "$:/plugins/snowgoon88/edit-comptext/framed.js",
            "module-type": "library"
        },
        "$:/plugins/snowgoon88/edit-comptext/simple.js": {
            "text": "/*\\\ntitle: $:/plugins/snowgoon88/edit-comptext/simple.js\ntype: application/javascript\nmodule-type: library\n\nTaken from $:/core/modules/editor/engines/simple.js\nText editor engine based on a simple input or textarea tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\n// Configuration tiddler\nvar COMPLETION_OPTIONS = \"$:/plugins/snowgoon88/edit-comptext/config\";\nvar Completion = require(\"$:/plugins/snowgoon88/edit-comptext/completion.js\").Completion;\n\nfunction SimpleCompEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\n    // Completion\n\t// Load Completion configuration as JSON\n    this._configOptions = $tw.wiki.getTiddlerData( COMPLETION_OPTIONS, {} );\n\t\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.widget.document.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.widget.document.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\tif(this.widget.editClass) {\n\t\tthis.domNode.className = this.widget.editClass;\n\t}\n\t// Add an input event handler\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"focus\", handlerObject: this, handlerMethod: \"handleFocusEvent\"},\n\t\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInputEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.parentNode.insertBefore(this.domNode,this.nextSibling);\n\tthis.widget.domNodes.push(this.domNode);\n\n\t// add Completion popup\n    this._completion = new Completion( this.widget, this.domNode, this._configOptions );\n}\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nSimpleCompEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode) {\n\t\t\tthis.domNode.value = text;\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nSimpleCompEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nSimpleCompEngine.prototype.fixHeight = function() {\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\t$tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nSimpleCompEngine.prototype.focus  = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nSimpleCompEngine.prototype.handleInputEvent = function(event) {\n\tconsole.log( \"__simple.js::handleInputEvent\");\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nHandle a dom \"focus\" event\n*/\nSimpleCompEngine.prototype.handleFocusEvent = function(event) {\n\tif(this.widget.editFocusPopup) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNode,\n\t\t\ttitle: this.widget.editFocusPopup,\n\t\t\twiki: this.widget.wiki,\n\t\t\tforce: true\n\t\t});\n\t}\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nSimpleCompEngine.prototype.createTextOperation = function() {\n\treturn null;\n};\n\n/*\nExecute a text operation\n*/\nSimpleCompEngine.prototype.executeTextOperation = function(operation) {\n};\n\nexports.SimpleCompEngine = SimpleCompEngine;\n\n})();\n",
            "type": "application/javascript",
            "title": "$:/plugins/snowgoon88/edit-comptext/simple.js",
            "module-type": "library"
        },
        "$:/plugins/snowgoon88/edit-comptext/cursor-position.js": {
            "text": "/*\\\nModule that compute the pixel position of the cursor of a text\nements.\n\nTaken from https://github.com/component/textarea-caret-position\n\n(as https://github.com/kir/js_cursor_position is not updated any more)\n\\*/\n// Fonction anonyme executée immediatement\n( function(){\n \n// The properties that we copy into a mirrored div.\n// Note that some browsers, such as Firefox,\n// do not concatenate properties, i.e. padding-top, bottom etc. -> padding,\n// so we have to do every single property specifically.\nvar properties = [\n  'direction',  // RTL support\n  'boxSizing',\n  'width',  // on Chrome and IE, exclude the scrollbar, so the mirror div wraps exactly as the textarea does\n  'height',\n  'overflowX',\n  'overflowY',  // copy the scrollbar for IE\n\n  'borderTopWidth',\n  'borderRightWidth',\n  'borderBottomWidth',\n  'borderLeftWidth',\n  'borderStyle',\n\n  'paddingTop',\n  'paddingRight',\n  'paddingBottom',\n  'paddingLeft',\n\n  // https://developer.mozilla.org/en-US/docs/Web/CSS/font\n  'fontStyle',\n  'fontVariant',\n  'fontWeight',\n  'fontStretch',\n  'fontSize',\n  'fontSizeAdjust',\n  'lineHeight',\n  'fontFamily',\n\n  'textAlign',\n  'textTransform',\n  'textIndent',\n  'textDecoration',  // might not make a difference, but better be safe\n\n  'letterSpacing',\n  'wordSpacing',\n\n  'tabSize',\n  'MozTabSize'\n\n];\nvar isFirefox = false;\nif($tw.browser) {\n    isFirefox = window.mozInnerScreenX != null;\n}\n\nfunction getCaretCoordinates(element, position, options) {\n\n  var debug = options && options.debug || false;\n  if (debug) {\n    var el = document.querySelector('#input-textarea-caret-position-mirror-div');\n    if ( el ) { el.parentNode.removeChild(el); }\n  }\n\n  // mirrored div\n  var div = document.createElement('div');\n  div.id = 'input-textarea-caret-position-mirror-div';\n  document.body.appendChild(div);\n\n  var style = div.style;\n  var computed;\n  if($tw.browser) {\n      computed = window.getComputedStyle? getComputedStyle(element) : element.currentStyle;  // currentStyle for IE < 9\n  } \n  else {\n      computed = element.currentStyle;\n  }\n    \n\n  // default textarea styles\n  style.whiteSpace = 'pre-wrap';\n  if (element.nodeName !== 'INPUT')\n    style.wordWrap = 'break-word';  // only for textarea-s\n\n  // position off-screen\n  style.position = 'absolute';  // required to return coordinates properly\n  if (!debug)\n    style.visibility = 'hidden';  // not 'display: none' because we want rendering\n\n  // transfer the element's properties to the div\n  properties.forEach(function (prop) {\n    style[prop] = computed[prop];\n  });\n\n  if (isFirefox) {\n    // Firefox lies about the overflow property for textareas: https://bugzilla.mozilla.org/show_bug.cgi?id=984275\n    if (element.scrollHeight > parseInt(computed.height))\n      style.overflowY = 'scroll';\n  } else {\n    style.overflow = 'hidden';  // for Chrome to not render a scrollbar; IE keeps overflowY = 'scroll'\n  }\n\n  div.textContent = element.value.substring(0, position);\n  // the second special handling for input type=\"text\" vs textarea: spaces need to be replaced with non-breaking spaces - http://stackoverflow.com/a/13402035/1269037\n  if (element.nodeName === 'INPUT')\n    div.textContent = div.textContent.replace(/\\s/g, \"\\u00a0\");\n\n  var span = document.createElement('span');\n  // Wrapping must be replicated *exactly*, including when a long word gets\n  // onto the next line, with whitespace at the end of the line before (#7).\n  // The  *only* reliable way to do that is to copy the *entire* rest of the\n  // textarea's content into the <span> created at the caret position.\n  // for inputs, just '.' would be enough, but why bother?\n  span.textContent = element.value.substring(position) || '.';  // || because a completely empty faux span doesn't render at all\n  div.appendChild(span);\n\n  var coordinates = {\n    top: span.offsetTop + parseInt(computed['borderTopWidth']),\n    left: span.offsetLeft + parseInt(computed['borderLeftWidth'])\n  };\n\n  if (debug) {\n    span.style.backgroundColor = '#aaa';\n  } else {\n    document.body.removeChild(div);\n  }\n\n  return coordinates;\n}\n\n// Exporte as a module of node.js otherwise set as global\nif (typeof module != \"undefined\" && typeof module.exports != \"undefined\") {\n  module.exports = getCaretCoordinates;\n} else {\n  window.getCaretCoordinates = getCaretCoordinates;\n}\n\n})();\n",
            "type": "application/javascript",
            "title": "$:/plugins/snowgoon88/edit-comptext/cursor-position.js",
            "module-type": "library"
        },
        "$:/plugins/snowgoon88/edit-comptext/completion.js": {
            "text": "/*\\\ntitle: $:/plugins/snowgoon88/edit-comptext/completion.js\ntype: application/javascript\nmodule-type: library\n\nTry to make self-contained completion module.\n\nTo use this 'module', you need a `widget` with a kind of `editarea` node.\nI do not know the exacte prerequisites of this editarea node for the module to\nwork, but mostly one should be able to attach the following `eventHandler` to\nit:\n - input\n - keydown\n - keypress\n - keyup\nThe `widget` is needed because I use:\n - widget.document\n - widget.wiki.filterTiddlers(...)\n\nFrom the Widget, once you have a proper editarea, you just have to call\n - var completion = new Completion( theWidget, theEditAreaNode, configObject);\nwhere `configObject` is expected to have the following fields. if a field is missing, a default value will be given.\nOne can have many `elements' in the template array.\n\n{\n  \"configuration\": {\n      \"caseSensitive\" : false,\n      \"maxMatch\" : 8,\n      \"minPatLength\" : 2,\n      \"triggerKeyCombination\" : \"^ \"\n  },\n  \"template\": [{\n      \"pattern\": \"[[\",\n      \"filter\": \"[all[tiddlers]!is[system]]\",\n      \"start\": \"[[\",\n      \"end\": \"]]\"\n      }\n  ]\n}\n\nTODO : CHECK if needed\n\\*/\n\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// To compute pixel coordinates of cursor\nvar getCaretCoordinates = require(\"$:/plugins/snowgoon88/edit-comptext/cursor-position.js\");\n\n/** Default Completion Attributes */\nvar DEFATT = { maxMatch: 5, minPatLength: 2, caseSensitive: false, triggerKeyCombination: \"^ \" };\n\n/** \n * Struct for generic Completion Templates.\n * <ul>\n * <li>pat : pattern searched for.</li>\n * <li>filter : filter operation used to find the list of completion options</li>\n * <li>mask: replaced by \"\" when presenting completion options</li>\n * </ul>\n */\nvar Template = function( pat, filter, mask, field, start, end  ) {\n    this.pat = pat;\n    this.filter = filter;\n    this.mask = \"^\"+regExpEscape(mask);\n    this.field = field;\n    this.start = start;\n    this.end = end;\n    this.pos = 0;\n};\n/**\n * Struct for storing completion options, as we need to memorise \n * the titles of the tiddlers when masked and when body must be displayed.\n */\nvar OptCompletion = function( title, str ) {\n    this.title = title;\n    this.str = str;\n};\n\nvar keyMatchGenerator = function(combination) {\n\tlet singleMatchGenerator = function(character) {\n\t\tif (character === '^') {\n\t\t\treturn event => event.ctrlKey;\n\t\t}\n\t\telse if (character === '+') {\n\t\t\treturn event => event.shiftKey;\n\t\t}\n\t\telse if (character === '!') {\n\t\t\treturn event => event.altKey;\n\t\t}\n\t\telse {\n\t\t\treturn event => (event.keyCode || event.which) === character.charCodeAt(0);\n\t\t}\n\t};\n\n\tlet matchers = [];\n\tfor (let i = 0; i < combination.length; i++) {\n\t\tmatchers.push(singleMatchGenerator(combination[i]));\n\t}\n\n\treturn event => {\n\t\tfor (let i = 0; i < matchers.length; i++) {\n\t\t\tif (!matchers[i](event)) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t\treturn true;\n\t};\n};\n\n/**\n * Widget is needed in creating popupNode.\n * - widget.document\n * - widget.wiki.filterTiddlers(...)\n * - sibling : where to create the popup in the DOM.\n */\n\tvar Completion = function( editWidget, areaNode, param, sibling, offTop, offLeft ) {\n\tconsole.log( \"==Completion::creation\" );\n\n    // About underlying Widget\n    this._widget = editWidget;\n\tthis._areaNode = areaNode;\n\tthis._sibling  = (typeof sibling !== 'undefined') ?  sibling : this._areaNode;\n\tthis._offTop = (typeof offTop !== 'undefined') ?  offTop : 0;\n\tthis._offLeft = (typeof offLeft !== 'undefined') ?  offLeft : 0;\t\n\t\t\n    // Completions attributes\n    /** State */\n    this._state = \"VOID\";\n    this._template = undefined;\n    /** Best matches */\n    this._bestMatches = []; // An array of OptCompletion\n    this._idxChoice = -1;\n    /** Param */\n    // maximum nb of match displayed\n    this._maxMatch     = param.configuration.maxMatch || DEFATT.maxMatch;   \n    this._minPatLength = param.configuration.minPatLength || DEFATT.minPatLength;\n    this._caseSensitive= param.configuration.caseSensitive || DEFATT.caseSensitive;\n    this._triggerKeyMatcher = keyMatchGenerator(param.configuration.triggerKeyCombination || DEFATT.triggerKeyCombination);\n    /** Input information */\n    this._lastChar = \"\";\n    this._hasInput = false;\n    /** List of Completion Templates */\n    this._listTemp = [];\n    \n    // Read templates from Param\n    if( param.template ) {\n    \tvar idT;\n    \tfor( idT=0; idT<param.template.length; idT++ ) {\n    \t    var temp = param.template[idT];\n\t    // field 'body' ou 'title' (default)\n\t    if( temp.body ) {\t\t\n    \t\tthis._listTemp.push( \n    \t\t    new Template( temp.pattern, temp.body,\n\t\t\t\t  temp.mask ? temp.mask : \"\",\n\t\t\t\t  \"body\",\n    \t\t\t\t  temp.start, temp.end )\n    \t\t);\n\t    }\n\t    else {\n    \t\tthis._listTemp.push( \n    \t\t    new Template( temp.pattern, \n\t\t\t\t  temp.title ? temp.title : temp.filter,\n\t\t\t\t  temp.mask ? temp.mask : \"\",\n\t\t\t\t  \"title\",\n    \t\t\t\t  temp.start, temp.end )\n    \t\t);\n\t    }\n\t    //DEBUG temp = this._listTemp[this._listTemp.length-1];\n\t    //DEBUG console.log( \"__CONF : \"+temp.pattern+\":\"+temp.filter+\":\"+temp.mask+\":\"+temp.field+\":\"+temp.start+\":\"+temp.end );\n    \t}\n    }\n    // or defaut template\n    else {\n    \tthis._listTemp = [\n    \t    new Template( \"[[\", \"[all[tiddlers]!is[system]]\", \n\t\t\t  \"\", \"title\",\n\t\t\t  \"[[\", \"]]\" )\n    \t];\n    }\n    // Create Popup\n\t//this._popNode = createPopup(this._widget, this._areaNode );\n\tthis._popNode = createPopup(this._widget, this._sibling );\t\n    \n    // Listen to the Keyboard\n    $tw.utils.addEventListeners( this._areaNode,[\n\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInput\"},\n\t{name: \"keydown\", handlerObject: this, handlerMethod: \"handleKeydown\"},\n\t{name: \"keypress\", handlerObject: this, handlerMethod: \"handleKeypress\"},\n    \t{name: \"keyup\", handlerObject: this, handlerMethod: \"handleKeyup\"}\n    ]);\n   \n    /** \n     * Find the bestMatches among listChoice with given pattern\n     * @param listChoice : array of String\n     * @change : this._bestMatches => array of OptCompletion\n     */\n    this._findBestMatches = function( listChoice, pattern, nbMax) {\n\t// regexp search pattern, case sensitive\n\tvar flagSearch = this._caseSensitive ? \"\" : \"i\" ;\n\tvar regpat = RegExp( regExpEscape(pattern), flagSearch );\n\tvar regpat_start = RegExp( \"^\"+regExpEscape(pattern), flagSearch );\n\tvar regMask = RegExp( this._template.mask ? this._template.mask : \"\",\"\");\n\tvar nbMatch = 0;\n\t// nbMax set to _maxMatch if no value given\n\tnbMax = nbMax !== undefined ? nbMax : this._maxMatch;\n\n\t//DEBUG console.log( \"__FIND masked=\"+regMask+\" regPat=\"+regpat);\n\n\tthis._bestMatches= [];\n\tvar otherMatches = [];\n\t// We test every possible choice\n\tfor( var i=0; i< listChoice.length; i++ ) {\n\t    // apply mask over potential choice\n\t    var maskedChoice = listChoice[i].replace( regMask, \"\");\n\t    // Test first if pattern is found at START of the maskedChoice\n\t    // THEN added to BestMatches\n \t    if( regpat_start.test( maskedChoice )) {\n\t\tif (nbMatch >= nbMax) {\n\t\t    this._bestMatches.push( new OptCompletion(\"\",\"...\") );\n\t\t    return;\n\t\t} else {\n\t\t    this._bestMatches.push( new OptCompletion(listChoice[i],maskedChoice) );\n\t\t    nbMatch += 1;\n\t\t}\n\t    }\n\t    // then if pattern is found WITHIN the maskedChoice\n\t    // added AFTER the choices that starts with pattern\n\t    else if( regpat.test( maskedChoice ) ) {\n\t\tif (nbMatch >= nbMax) {\n\t\t    // add all otherMatches to _bestMatches\n\t\t    this._bestMatches.push( new OptCompletion(\"\",\"<hr>\") ) ; //separator\n\t\t    this._bestMatches = this._bestMatches.concat( otherMatches );\n\t\t    this._bestMatches.push( new OptCompletion(\"\",\"...\") );\n\t\t    return;\n\t\t} else {\n\t\t    otherMatches.push( new OptCompletion(listChoice[i],maskedChoice) );\n\t\t    nbMatch += 1;\n\t\t}\n\t    }\n\t}\n\t// Here, must add the otherMatches\n\tthis._bestMatches.push( new OptCompletion(\"\",\"<hr>\") ) ; //separator\n\tthis._bestMatches = this._bestMatches.concat( otherMatches );\n    };\n    /**\n     * Change Selected Status of Items\n     */\n    this._next = function (node) {\n\tvar count = node.children.length;\n\t//DEBUG console.log( \"__NEXT: co=\"+count+\" nbMatch=\"+this._bestMatches.length);\n\tif( this._bestMatches.length > 0 ) \n\t    this._goto( node, this._idxChoice < count - 1 ? this._idxChoice + 1 : -1);\n\t//DEBUG this._logStatus( \"NexT\" );\n    };\n    this._previous = function (node) {\n\tvar count = node.children.length;\n\tvar selected = this._idxChoice > -1;\n\t//DEBUG console.log( \"__PREV: co=\"+count+\" nbMatch=\"+this._bestMatches.length);\n\tif( this._bestMatches.length > 0 ) \n\t    this._goto( node, selected ? this._idxChoice - 1 : count - 1);\n\t//DEBUG this._logStatus( \"PreV\" );\n    };\n    // Should not be used, highlights specific item without any checks!\n    this._goto = function (node, idx) {\n\tvar lis = node.children;\n\tvar selected = this._idxChoice > -1;\n\tif (selected) {\n\t    lis[this._idxChoice].setAttribute(\"patt-selected\", \"false\");\n\t}\n\n\tthis._idxChoice = idx;\n    \n\tif (idx > -1 && lis.length > 0) {\n\t    lis[idx].setAttribute(\"patt-selected\", \"true\");\n\t}\n    };\n    /**\n     * Abort pattern and undisplay.\n     */\n    this._abortPattern = function (displayNode) {\n\tthis._state = \"VOID\";\n\tthis._bestChoices = [];\n\tthis._idxChoice = -1;\n\tthis._undisplay( displayNode );\n\tthis._template = undefined;\n    };\n    /**\n     * Display popupNode at the cursor position in areaNode.\n     */\n    this._display = function( areaNode, popupNode ) {\n\tif ( popupNode.style.display == 'none' ) {\n\t    // Must get coordinate\n\t    // Cursor coordinates within area + area coordinates + scroll\n            var coord = getCaretCoordinates(areaNode, areaNode.selectionEnd);\n            var styleSize = getComputedStyle(areaNode).getPropertyValue('font-size');\n            var fontSize = parseFloat(styleSize); \n\t\t\n\t    popupNode.style.left = (this._offLeft+areaNode.offsetLeft-areaNode.scrollLeft+coord.left) + 'px';\n\t    popupNode.style.top = (this._offTop+areaNode.offsetTop-areaNode.scrollTop+coord.top+fontSize*2) + 'px';\n\t    popupNode.style.display = 'block';\n\t}\n    };\n    /**\n     * Undisplay someNode\n     */\n    this._undisplay = function( displayNode ) {\n\tif ( displayNode.style.display != 'none' ) {\n\t    displayNode.style.display = 'none';\n\t}\n    };\n\n     /**\n     * Used for debug\n     */\n    this._logStatus = function(msg) {\n\tconsole.log( \"__STATUS: \"+this._state+\":-\"+msg+\"- idx=\"+this._idxChoice );\n    };\n\n};\n// **************************************************************************\n// ******************************************************************eventCbk\n// **************************************************************************\n/**\n * Disable the *effects* of ENTER / UP / DOWN / ESC when needed.\n * Set _hasInput to false.\n */\nCompletion.prototype.handleKeydown = function(event) {\n    // key \n    var key = event.keyCode;\n    this._hasInput = false;\n    \n    //DEBUG console.log( \"__KEYDOWN (\"+key+\") hasI=\"+this._hasInput);\n    \n    // ENTER while selecting\n    if( (this._state === \"PATTERN\" || this._state === \"SELECT\") && key === 13 ) {\n    \tevent.preventDefault();\n    \tevent.stopPropagation();\n    }\n    // ESC while selecting\n    if( (this._state === \"PATTERN\" || this._state === \"SELECT\") && key === 27 ) {\n    \tevent.preventDefault();\n    \tevent.stopPropagation();\n    }\n    // UP/DOWN while a pattern is extracted\n    if( (key===38 || key===40) && \n\t(this._state === \"PATTERN\" || this._state === \"SELECT\") ) {\n\tevent.preventDefault();\n    }\n};\n/**\n * Means that something has been added/deleted => set _hasInput\n */\nCompletion.prototype.handleInput = function(event) {\n    this._hasInput = true;\n    //DEBUG console.log( \"__INPUT hasI=\"+this._hasInput );\n};\n\t\n/**\n * Set _lastChar, detects CTRL+SPACE.\n */\nCompletion.prototype.handleKeypress = function(event) {\n    var curPos = this._areaNode.selectionStart;  // cursor position\n    var val = this._areaNode.value;   // text in the area\n    // key \n    var key = event.keyCode || event.which;\n\t\n    this._lastChar = String.fromCharCode(key);\n    //DEBUG console.log( \"__KEYPRESS (\"+key+\") hasI=\"+this._hasInput+\" char=\"+this._lastChar );\n    //DEBUG this._logStatus( \"KEYPRESS\" );\n    \n    // Detect Ctrl+Space\n    if( this._triggerKeyMatcher(event) && this._state === \"VOID\" ) {\n\t//Find a proper Template\n\t// first from which we can extract a pattern\n\tif( this._template === undefined ) {\n\t    //DEBUG console.log(\"__SPACE : find a Template\" );\n\t    var idT, res;\n\t    for( idT=0; idT < this._listTemp.length; idT++ ) {\n\t\tres = extractPattern( val, curPos, this._listTemp[idT] );\n\t\t//DEBUG console.log(\"  t=\"+this._listTemp[idT].pat+\" res=\"+res);\n\t\t// res is not undefined => good template candidate\n\t\tif( res ) {\n\t\t    this._template = this._listTemp[idT];\n\t\t    this._state = \"PATTERN\";\n\t\t    break;\n\t\t}\n\t    }\n\t}\n\telse {\n\t    //DEBUG console.log(\"__SPACE : already a template\" );\n\t    this._state = \"PATTERN\";\n\t}\n    }\n};\n/**\n * ESC -> abort; \n * Detect [ -> VOID switch to _state=PATTERN\n * PATTERN || SELECT : ENTER -> insertText\n *                     UP/DOWN -> previous/next\n *                     pattern.length > _minPatternLength -> display  \n */\nCompletion.prototype.handleKeyup = function(event) {\n    var curPos = this._areaNode.selectionStart;  // cursor position\n    var val = this._areaNode.value;   // text in the area\n    // key a\n    var key = event.keyCode;\n    \n    //DEBUG console.log( \"__KEYUP (\"+key+\") hasI=\"+this._hasInput );\n    \n    // ESC\n    if( key === 27 ) {\n\tthis._abortPattern( this._popNode );\n\t//DEBUG this._logStatus( \"\" );\n    }\n    // Check for every template\n    if( this._hasInput && this._state === \"VOID\" ) {\n\t// check every template's pattern\n\tvar idT, template;\n\tfor( idT=0; idT < this._listTemp.length; idT++ ) {\n\t    template = this._listTemp[idT];\n\t    if( this._lastChar === template.pat[template.pos] ) {\n\t\ttemplate.pos += 1;\n\t\t//DEBUG console.log( \"__CHECK : pat=\"+template.pat+\" pos=\"+template.pos );\n\t\t// Pattern totaly matched ?\n\t\tif( template.pos === template.pat.length ) {\n\t\t    //DEBUG console.log( \"__CHECK => found \"+template.pat );\n\t\t    this._state = \"PATTERN\";\n\t\t    this._template = template;\n\t\t    \n\t\t    break; // get out of loop\n\t\t}\n\t    }\n\t    else {\n\t\ttemplate.pos = 0;\n\t\t//DEBUG console.log( \"__CHECK : pat=\"+template.pat+\" pos=\"+template.pos );\n\t    }\n\t}\n    }\n    // a pattern\n    else if( this._state === \"PATTERN\" || this._state === \"SELECT\" ) {\n\t// Pattern below cursor : undefined if no pattern\n\tvar pattern = extractPattern( val, curPos, this._template );\n\tif( key === 13 ) { // ENTER\n\t    //DEBUG console.log( \"KEY : Enter\" );\n    \t    // Choice made in the displayNode ?\n    \t    var selected = this._idxChoice > -1 && this._idxChoice !== this._maxMatch;\n    \t    //DEBUG console.log( \"   > sel=\"+selected+\" len=\"+this._bestChoices.length );\n    \t    if( selected ) {\n    \t\t//DEBUG console.log( \"   > selected\" );\n\t\tvar temp = this._bestMatches[this._idxChoice];\n\t\tvar str = temp.str;\n\t\tif( this._template.field === \"body\" ) {\n\t\t    str = $tw.wiki.getTiddlerText( temp.title );\n\t\t}\n    \t\tinsertInto( this._areaNode,\n\t\t\t    str,\n\t\t\t    pattern.start, curPos, this._template );\n\t\t// save this new content\n\t\tthis._widget.saveChanges( this._areaNode.value );\n\t    }\n\t    // otherwise take the first choice (if exists)\n\t    else if( this._bestMatches.length > 0 ) {\n    \t\t//DEBUG console.log( \"   > take first one\" );\n\t\tvar temp = this._bestMatches[0];\n\t\tvar str = temp.str;\n\t\tif( this._template.field === \"body\" ) {\n\t\t    str = $tw.wiki.getTiddlerText( temp.title );\n\t\t}\n    \t\tinsertInto( this._areaNode,\n\t\t\t    str,\n\t\t\t    pattern.start, curPos, this._template );\n\t\t// save this new content\n\t\tthis._widget.saveChanges( this._areaNode.value );\n\t    }\n\t    this._abortPattern( this._popNode );\n\t\t//DEBUG this._logStatus( \"\" );\n    \t    }\n\t    else if( key === 38 && this._hasInput === false) { // up\n\t\tthis._state = \"SELECT\";\n    \t\tevent.preventDefault();\n    \t\tthis._previous( this._popNode );\n\t\t//DEBUG this._logStatus( pattern.text );\n    \t\t//event.stopPropagation();\n    \t    }\n    \t    else if( key === 40 && this._hasInput === false) { // down\n\t\tthis._state = \"SELECT\";\n    \t\tevent.preventDefault();\n    \t\tthis._next( this._popNode );\n\t\t//DEBUG this._logStatus( pattern.text );\n    \t\t//event.stopPropagation();\n    \t    }\n    \t    else if( pattern ) { // pattern changed by keypressed\n\t\tthis._idxChoice = -1;\n    \t\t// log\n\t\t//DEBUG this._logStatus( pattern.text );\n    \t\t// Popup with choices if pattern at least minPatLength letters long\n\t\tif( pattern.text.length > (this._minPatLength-1) ) {\n\t\t    // compute listOptions from templateFilter\n\t\t    var allOptions;\n\t\t    if( this._template )\n\t\t\tallOptions = this._widget.wiki.filterTiddlers( this._template.filter );\n\t\t    else\n\t\t\tallOptions = this._widget.wiki.filterTiddlers(\"[all[tiddlers]]\");\n\t\t    this._findBestMatches( allOptions, pattern.text );\n    \t\t    this._popNode.innerHTML = \"\";\n    \t\t    //console.log( \"BC \"+ this._pattern + \" => \" + choice );\n    \t\t    if (this._bestMatches.length > 0) {\n\t\t\tfor( var i=0; i<this._bestMatches.length; i++) {\n    \t\t\t    this._popNode.appendChild( \n\t\t\t\titemHTML(this._bestMatches[i].str,\n\t\t\t\t\t pattern.text));\n    \t\t\t}\n\t\t\tthis._display( this._areaNode, this._popNode );\t\t\t\n    \t\t    }\n\t\t    else { // no matches\n\t\t\tthis._state = \"PATTERN\";\n\t\t\tthis._undisplay( this._popNode );\n\t\t    }\n\t\t}\n    \t    }\n\t    else { // no pattern detected\n\t\tthis._abortPattern( this._popNode );\n\t    }\n\t}\n\t// to ensure that one MUST add an input (through onInput())\n\tthis._hasInput = false;\n};\n// **************************************************************************\n// ******************************************************** private functions\n// **************************************************************************\n/**\n * Create popup element.\n */\nvar createPopup = function( widget, node ) {\n    // Insert a special \"div\" element for poping up\n    // Its 'display' property in 'style' control its visibility\n    var popupNode = widget.document.createElement(\"div\");\n    popupNode.setAttribute( \"style\", \"display:none; position: absolute;\");\n    popupNode.className = \"tc-block-dropdown ect-block-dropdown\";\n    // Insert the element into the DOM\n    node.parentNode.insertBefore(popupNode,node.nextSibling);\n    //CHECK the domNodes is a attribute of Widget [widget.js]\n    //CHECK this.domNodes.push(popupNode);\n    \n    return popupNode;\n};\n/**\n * Extract Pattern from text at a given position.\n *\n * Between previous template.pat (or '[[') and pos\n * \n * If no pattern -> undefined\n */\nvar extractPattern = function( text, pos, template ) {\n    // Detect previous and next ]]=>STOP or [[=>START\n    var sPat = template.pat ? template.pat : '[[';\n    var pos_prevOpen = text.lastIndexOf( sPat, pos );\n    var ePat = template.end ? template.end : ']]';\n    var pos_prevClosed = text.lastIndexOf( ePat, pos );\n    var pos_nextClosed = text.indexOf( ePat, pos  );\n    //DEBUG console.log(\"__CALC st=\"+sPat+\" -> en=\"+ePat );\n    //DEBUG console.log(\"__CALC po=\"+pos_prevOpen+\" pc=\"+pos_prevClosed+\" nc=\"+pos_nextClosed+\" pos=\"+pos);\n    pos_nextClosed = (pos_nextClosed >= 0) ? pos_nextClosed : pos;\n    \n    if( (pos_prevOpen >= 0) &&                 // must be opened\n\t((pos_prevOpen > pos_prevClosed ) ||  // not closed yet\n\t (pos_prevClosed === pos))) {          // closed at cursor\n\t//DEBUG console.log(\"     pat=\"+text.slice( pos_prevOpen+sPat.length, pos) );\n\treturn { text: text.slice( pos_prevOpen+sPat.length, pos ),\n\t\t start: pos_prevOpen,\n\t\t end: pos_nextClosed\n\t       };\n    }\n};\n/**\n * Controls how list items are generated.\n * Function that takes two parameters :\n *  - text : suggestion text\n *  - input : the user’s input\n * Returns : list item. \n * Generates list items with the user’s input highlighted via <mark>.\n */\nvar itemHTML = function (text, input ) {\n    // text si input === ''\n    // otherwise, build RegExp that is global (g) and case insensitive (i)\n    // to replace with <mark>$&</mark> where \"$&\" is the matched pattern\n    var html = input === '' ? text : text.replace(RegExp(regExpEscape(input.trim()), \"gi\"), \"<mark>$&</mark>\");\n    return create(\"li\", {\n\tinnerHTML: html,\n\t\"patt-selected\": \"false\"\n    });\n};\n/**\n * Insert text into a textarea node, \n * enclosing in 'template.start..template.end'\n *\n * - posBefore : where the 'template.pat+pattern' starts\n * - posAfter : where the cursor currently is\n */\nvar insertInto = function(node, text, posBefore, posAfter, template ) {\n    //DEBUG console.log( \"__INSERT : \"+template.pattern+\":\"+template.filter+\":\"+template.mask+\":\"+template.field+\":\"+template.start+\":\"+template.end );\n    var val = node.value;\n    var sStart = template.start !== undefined ? template.start : '[[';\n    var sEnd = template.end !== undefined ? template.end : ']]';\n    var newVal = val.slice(0, posBefore) + sStart + text + sEnd + val.slice(posAfter);\n    //console.log(\"__INSERT s=\"+sStart+\" e=\"+sEnd);\n    //console.log (\"__INSERT pb=\"+posBefore+\" pa=\"+posAfter+\" txt=\"+text);\n    //console.log( \"NEW VAL = \"+newVal );\n    // WARN : Directly modifie domNode.value.\n    // Not sure it does not short-circuit other update methods of the domNode....\n    // i.e. could use widget.updateEditor(newVal) from edit-comptext widget.\n    //      but how to be sure that cursor is well positionned ?\n    node.value = newVal;\n    node.setSelectionRange(posBefore+text.length+sStart.length+sEnd.length, posBefore+text.length+sStart.length+sEnd.length );\n};\n/**\n * Add an '\\' in front of -\\^$*+?.()|[]{}\n */\nvar regExpEscape = function (s) {\n    return s.replace(/[-\\\\^$*+?.()|[\\]{}]/g, \"\\\\$&\");\n};\n/**\n * Add an element in the DOM.\n */\nvar create = function(tag, o) {\n    var element = document.createElement(tag);\n    \n    for (var i in o) {\n\tvar val = o[i];\n\t\n\tif (i === \"inside\") {\n\t    $(val).appendChild(element);\n\t}\n\telse if (i === \"around\") {\n\t    var ref = $(val);\n\t    ref.parentNode.insertBefore(element, ref);\n\t    element.appendChild(ref);\n\t}\n\telse if (i in element) {\n\t    element[i] = val;\n\t}\n\telse {\n\t    element.setAttribute(i, val);\n\t}\n    }\n    \n    return element;\n};\n\n\nexports.Completion = Completion;\n\n})();\n\n    \n",
            "type": "application/javascript",
            "title": "$:/plugins/snowgoon88/edit-comptext/completion.js",
            "module-type": "library"
        },
        "$:/plugins/snowgoon88/edit-comptext/edit-comptext.css": {
            "text": "\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline macrocallblock\n\n/* The \\rules pragma at the top of the tiddler restricts the WikiText \n * to just allow macros and transclusion. This avoids mistakenly \n * triggering unwanted WikiText processing.\n * \n * MUST not save as text/css for macro to be processed\n*/\n\n.ect-block-dropdown li {\n    display: block;\n    padding: 4px 14px 4px 14px;\n    text-decoration: none;\n    color: <<colour tiddler-link-foreground>>; /*#5778d8;*/ \n    background: transparent;\n}\n.ect-block-dropdown li[patt-selected=\"true\"] {\n    color: <<colour tiddler-link-background>>; /*#ffffff; */\n    background-color: <<colour tiddler-link-foreground>>; /*#5778d8; */\n}\n.ect-block-dropdown li[patt-selected=\"true\"] mark {\n    background: hsl(86, 100%, 21%);\n    color: inherit;\n}\n\n",
            "type": "text/vnd.tiddlywiki",
            "title": "$:/plugins/snowgoon88/edit-comptext/edit-comptext.css",
            "tags": "[[$:/tags/Stylesheet]]"
        },
        "$:/plugins/snowgoon88/edit-comptext/readme": {
            "title": "$:/plugins/snowgoon88/edit-comptext/readme",
            "text": "!! What ?\nThis plugin adds ''completion'' when editing the body of a tiddler.\n\n* Enter completion-mode by typing `[[` or `CTRL+SPACE`\n* A list of tiddlers with a title that matches the pattern between `[[` and cursor appears\n* `UP/DOWN` keys can select a tiddler, `ENTER` to validate\n* If there is only one match, `ENTER` selects it.\n* `NEW` : you can specify you own trigger pattern and the list of possible completions. See [[$:/plugins/snowgoon88/edit-comptext/usage]] for more details.\n\n\n!! To try it or get the latest news\nSee [[http://snowgoon88.github.io/TW5-extendedit]]\n\n!! Install \n\nTo add the plugin to your own TiddlyWiki5, just drag this link to the browser window:\n\n[[$:/plugins/snowgoon88/edit-comptext]]\n\nSometime, a small configuration step is then needed\n\nin `$:/ControlPanel -> Advanced -> Editor Type -> text/vnd.tiddlywiki` you must chose `comptext` instead of `text`.\n\nReload and « voilà »...\n\nThis plugin is quite mature now :o)\n\n!! Old version\n\n* A version compatible with 5.0.8 to 5.1.11 : [[http://snowgoon88.github.io/TW5-extendedit/index_5.1.11.html]]\n\n!! Source code\nOn github [[https://github.com/snowgoon88/TW5-extendedit]]\n\nGet in touch : snowgoon88(AT)gmail(DOT)com\n"
        },
        "$:/plugins/snowgoon88/edit-comptext/usage": {
            "title": "$:/plugins/snowgoon88/edit-comptext/usage",
            "text": "''Important'' : be sure that in `$:/ControlPanel -> Advanced -> Editor Type -> text/vnd.tiddlywiki` you have chosen `comptext` instead of `text`.\n\nConfiguration of the edit-comptext plugin can be done through the tiddler [[$:/plugins/snowgoon88/edit-comptext/config]]. Use a JSON tiddler (do not forget to set the type to `application/json`. See some examples at [[$:/plugins/snowgoon88/edit-comptext/examples]]\n\nIn the `configuration` object you can set :\n\n* `caseSensitive`: `true`/`false` (is search case sensitive ?)\n* `maxMatch` : an `integer` (max number of match displayed)\n* `minPatLength` : an `integer` (minimal length of a pattern to trigger completion search)\n* `triggerKeyCombination ` : a `string` representing the key combination that triggers the autocompletion popup. To use modifier keys in your combination, use following conversions : `ctrl` -> `^`, `alt` -> `!`, `shift` -> `+`. Note: ` ` (literally a whitespace) represents the `space` key.\n\nIn the `template` array you can specify the various completion templates that will be used. Every template can have the following members.\n\n* `pattern` : `string` (pattern that triggers a completion, default \"[[\" )\n* `title` or `body`: `string` (the filter operators that gives the list of valid completions, default \"[all[tiddlers]!is[system]]\"). If you specify `body`, then the body of the tiddler will be inserted on selection.\n* `start` : `string` (when completion is chosen, start is put before the completion, default \"[[\")\n* `end` : `string` (when completion is chosen, end is put after the completion, default \"]]\")\n\n!! Current body of Config Tiddler\n\n{{$:/plugins/snowgoon88/edit-comptext/config}}\n\n"
        }
    }
}
Eldar's working notes

$:/core/ui/AdvancedSearch/Standard
hide
no
config
no
no
no
no
contents
no
yes
$:/core/ui/AdvancedSearch/Standard
$:/core/ui/ControlPanel/Theme
$:/core/ui/ControlPanel/Basics
$:/core/ui/ControlPanel/Plugins/Installed/Languages
$:/core/ui/ControlPanel/TiddlerFields
$:/core/ui/MoreSideBar/Plugins/Languages
$:/core/ui/ControlPanel/Info
$:/core/ui/ControlPanel/Saving/General
$:/core/ui/MoreSideBar/Missing
$:/core/ui/ControlPanel/Toolbars/EditToolbar
no

{
    "tiddlers": {
        "$:/themes/tiddlywiki/snowwhite/base": {
            "title": "$:/themes/tiddlywiki/snowwhite/base",
            "tags": "[[$:/tags/Stylesheet]]",
            "text": "\\define sidebarbreakpoint-minus-one()\n<$text text={{{ [{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}removesuffix[px]subtract[1]addsuffix[px]] ~[{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}] }}}/>\n\\end\n\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\n.tc-sidebar-header {\n\ttext-shadow: 0 1px 0 <<colour sidebar-foreground-shadow>>;\n}\n\n.tc-tiddler-info {\n\t<<box-shadow \"inset 1px 2px 3px rgba(0,0,0,0.1)\">>\n}\n\n@media screen {\n\t.tc-tiddler-frame {\n\t\t<<box-shadow \"1px 1px 5px rgba(0, 0, 0, 0.3)\">>\n\t}\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\t.tc-tiddler-frame {\n\t\t<<box-shadow none>>\n\t}\n}\n\n.tc-page-controls button svg, .tc-tiddler-controls button svg, .tc-topbar button svg {\n\t<<transition \"fill 150ms ease-in-out\">>\n}\n\n.tc-tiddler-controls button.tc-selected,\n.tc-page-controls button.tc-selected {\n\t<<filter \"drop-shadow(0px -1px 2px rgba(0,0,0,0.25))\">>\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-edit-tags {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-tiddler-frame .tc-edit-tags input.tc-edit-texteditor {\n\t<<box-shadow \"none\">>\n\tborder: none;\n\toutline: none;\n}\n\ntextarea.tc-edit-texteditor {\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/editorfontfamily}};\n}\n\ncanvas.tc-edit-bitmapeditor  {\n\t<<box-shadow \"2px 2px 5px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-drop-down {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-block-dropdown {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-modal {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n}\n\n.tc-modal-footer {\n\tborder-radius: 0 0 6px 6px;\n\t<<box-shadow \"inset 0 1px 0 #fff\">>;\n}\n\n\n.tc-alert {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.6)\">>\n}\n\n.tc-notification {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n\ttext-shadow: 0 1px 0 rgba(255,255,255, 0.8);\n}\n\n.tc-sidebar-lists .tc-tab-set .tc-tab-divider {\n\tborder-top: none;\n\theight: 1px;\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.15) 0%, rgba(0,0,0,0.0) 100%\">>\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button {\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.01) 0%, rgba(0,0,0,0.1) 100%\">>\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button.tc-tab-selected {\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.05) 0%, rgba(255,255,255,0.05) 100%\">>\n}\n\n.tc-message-box img {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n\n.tc-plugin-info {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n"
        }
    }
}
{
    "tiddlers": {
        "$:/themes/tiddlywiki/vanilla/themetweaks": {
            "title": "$:/themes/tiddlywiki/vanilla/themetweaks",
            "tags": "$:/tags/ControlPanel/Appearance",
            "caption": "{{$:/language/ThemeTweaks/ThemeTweaks}}",
            "text": "\\define lingo-base() $:/language/ThemeTweaks/\n\n\\define replacement-text()\n[img[$(imageTitle)$]]\n\\end\n\n\\define backgroundimage-dropdown()\n<div class=\"tc-drop-down-wrapper\">\n<$button popup=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> class=\"tc-btn-invisible tc-btn-dropdown\">{{$:/core/images/down-arrow}}</$button>\n<$reveal state=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> type=\"popup\" position=\"belowleft\" text=\"\" default=\"\">\n<div class=\"tc-drop-down\">\n<$macrocall $name=\"image-picker\" actions=\"\"\"\n\n<$action-setfield\n\t$tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\"\n\t$value=<<imageTitle>>\n/>\n\n\"\"\"/>\n</div>\n</$reveal>\n</div>\n\\end\n\n\\define backgroundimageattachment-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment\" default=\"scroll\">\n<option value=\"scroll\"><<lingo Settings/BackgroundImageAttachment/Scroll>></option>\n<option value=\"fixed\"><<lingo Settings/BackgroundImageAttachment/Fixed>></option>\n</$select>\n\\end\n\n\\define backgroundimagesize-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize\" default=\"scroll\">\n<option value=\"auto\"><<lingo Settings/BackgroundImageSize/Auto>></option>\n<option value=\"cover\"><<lingo Settings/BackgroundImageSize/Cover>></option>\n<option value=\"contain\"><<lingo Settings/BackgroundImageSize/Contain>></option>\n</$select>\n\\end\n\n<<lingo ThemeTweaks/Hint>>\n\n! <<lingo Options>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><<lingo Options/SidebarLayout>></$link> |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><option value=\"fixed-fluid\"><<lingo Options/SidebarLayout/Fixed-Fluid>></option><option value=\"fluid-fixed\"><<lingo Options/SidebarLayout/Fluid-Fixed>></option></$select> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\"><<lingo Options/StickyTitles>></$link><br>//<<lingo Options/StickyTitles/Hint>>// |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\"><option value=\"no\">{{$:/language/No}}</option><option value=\"yes\">{{$:/language/Yes}}</option></$select> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/codewrapping\"><<lingo Options/CodeWrapping>></$link> |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/codewrapping\"><option value=\"pre\">{{$:/language/No}}</option><option value=\"pre-wrap\">{{$:/language/Yes}}</option></$select> |\n\n! <<lingo Settings>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/fontfamily\"><<lingo Settings/FontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/fontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/codefontfamily\"><<lingo Settings/CodeFontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/codefontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/editorfontfamily\"><<lingo Settings/EditorFontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/editorfontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\"><<lingo Settings/BackgroundImage>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\" default=\"\" tag=\"input\"/> |<<backgroundimage-dropdown>> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment\"><<lingo Settings/BackgroundImageAttachment>></$link> |<<backgroundimageattachment-dropdown>> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize\"><<lingo Settings/BackgroundImageSize>></$link> |<<backgroundimagesize-dropdown>> | |\n\n! <<lingo Metrics>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/fontsize\"><<lingo Metrics/FontSize>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/fontsize\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/lineheight\"><<lingo Metrics/LineHeight>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/lineheight\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize\"><<lingo Metrics/BodyFontSize>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight\"><<lingo Metrics/BodyLineHeight>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\"><<lingo Metrics/StoryLeft>></$link><br>//<<lingo Metrics/StoryLeft/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\"><<lingo Metrics/StoryTop>></$link><br>//<<lingo Metrics/StoryTop/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\"><<lingo Metrics/StoryRight>></$link><br>//<<lingo Metrics/StoryRight/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\"><<lingo Metrics/StoryWidth>></$link><br>//<<lingo Metrics/StoryWidth/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\"><<lingo Metrics/TiddlerWidth>></$link><br>//<<lingo Metrics/TiddlerWidth/Hint>>//<br> |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\"><<lingo Metrics/SidebarBreakpoint>></$link><br>//<<lingo Metrics/SidebarBreakpoint/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\"><<lingo Metrics/SidebarWidth>></$link><br>//<<lingo Metrics/SidebarWidth/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\" default=\"\" tag=\"input\"/> |\n"
        },
        "$:/themes/tiddlywiki/vanilla/base": {
            "title": "$:/themes/tiddlywiki/vanilla/base",
            "tags": "[[$:/tags/Stylesheet]]",
            "text": "\\define custom-background-datauri()\n<$set name=\"background\" value={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}>\n<$list filter=\"[<background>is[image]]\">\n`background: url(`\n<$list filter=\"[<background>!has[_canonical_uri]]\">\n`\"`<$macrocall $name=\"datauri\" title={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}/>`\"`\n</$list>\n<$list filter=\"[<background>has[_canonical_uri]]\">\n`\"`<$view tiddler={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}} field=\"_canonical_uri\"/>`\"`\n</$list>\n`) center center;`\n`background-attachment: `{{$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment}}`;\n-webkit-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-moz-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-o-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\nbackground-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;`\n</$list>\n</$set>\n\\end\n\n\\define sidebarbreakpoint()\n<$text text={{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}/>\n\\end\n\n\\define sidebarbreakpoint-minus-one()\n<$text text={{{ [{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}removesuffix[px]subtract[1]addsuffix[px]] ~[{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}] }}}/>\n\\end\n\n\\define if-fluid-fixed(text,hiddenSidebarText)\n<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\" type=\"match\" text=\"fluid-fixed\">\n$text$\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"yes\" default=\"yes\">\n$hiddenSidebarText$\n</$reveal>\n</$reveal>\n\\end\n\n\\define if-editor-height-fixed(then,else)\n<$reveal state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"fixed\">\n$then$\n</$reveal>\n<$reveal state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"auto\">\n$else$\n</$reveal>\n\\end\n\n\\define set-type-selector-min-width()\n<$set name=\"typeLength\" value={{{ [all[shadows+tiddlers]prefix[$:/language/Docs/Types/]get[name]length[]maxall[]] }}}>\n\n\t.tc-type-selector-dropdown-wrapper {\n\t\tmin-width: calc(<<typeLength>>ch + 4em);\n\t}\n\n\t.tc-type-selector-dropdown-wrapper input.tc-edit-typeeditor {\n\t\tmin-width: <<typeLength>>ch;\n\t}\n\n</$set>\n\\end\n\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline macrocallblock\n\n/*\n** Start with the normalize CSS reset, and then belay some of its effects\n*/\n\n{{$:/themes/tiddlywiki/vanilla/reset}}\n\n*, input[type=\"search\"] {\n\tbox-sizing: border-box;\n\t-moz-box-sizing: border-box;\n\t-webkit-box-sizing: border-box;\n}\n\ninput[type=\"search\"] {\n  outline-offset: initial;\n}\n\nhtml button {\n\tline-height: 1.2;\n\tcolor: <<colour button-foreground>>;\n\tfill: <<colour button-foreground>>;\n\tbackground: <<colour button-background>>;\n\tborder-color: <<colour button-border>>;\n}\n\n/*\n** Basic element styles\n*/\n\nhtml, body {\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/fontfamily}};\n\ttext-rendering: optimizeLegibility; /* Enables kerning and ligatures etc. */\n\t-webkit-font-smoothing: antialiased;\n\t-moz-osx-font-smoothing: grayscale;\n}\n\nhtml:-webkit-full-screen {\n\tbackground-color: <<colour page-background>>;\n}\n\nbody.tc-body {\n\tfont-size: {{$:/themes/tiddlywiki/vanilla/metrics/fontsize}};\n\tline-height: {{$:/themes/tiddlywiki/vanilla/metrics/lineheight}};\n\tword-wrap: break-word;\n\t<<custom-background-datauri>>\n\tcolor: <<colour foreground>>;\n\tbackground-color: <<colour page-background>>;\n\tfill: <<colour foreground>>;\n}\n\n<<if-background-attachment \"\"\"\n\nbody.tc-body {\n        background-color: transparent;\n}\n\n\"\"\">>\n\n/**\n * Correct the font size and margin on `h1` elements within `section` and\n * `article` contexts in Chrome, Firefox, and Safari.\n */\n\nh1 {\n\tfont-size: 2em;\n}\n\nh1, h2, h3, h4, h5, h6 {\n\tline-height: 1.2;\n\tfont-weight: 300;\n}\n\npre {\n\tdisplay: block;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n\tword-break: normal;\n\tword-wrap: break-word;\n\twhite-space: {{$:/themes/tiddlywiki/vanilla/options/codewrapping}};\n\tbackground-color: <<colour pre-background>>;\n\tborder: 1px solid <<colour pre-border>>;\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/codefontfamily}};\n}\n\ncode {\n\tcolor: <<colour code-foreground>>;\n\tbackground-color: <<colour code-background>>;\n\tborder: 1px solid <<colour code-border>>;\n\twhite-space: {{$:/themes/tiddlywiki/vanilla/options/codewrapping}};\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/codefontfamily}};\n}\n\nblockquote {\n\tborder-left: 5px solid <<colour blockquote-bar>>;\n\tmargin-left: 25px;\n\tpadding-left: 10px;\n\tquotes: \"\\201C\"\"\\201D\"\"\\2018\"\"\\2019\";\n}\n\nblockquote > div {\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n}\n\nblockquote.tc-big-quote {\n\tfont-family: Georgia, serif;\n\tposition: relative;\n\tbackground: <<colour pre-background>>;\n\tborder-left: none;\n\tmargin-left: 50px;\n\tmargin-right: 50px;\n\tpadding: 10px;\n    border-radius: 8px;\n}\n\nblockquote.tc-big-quote cite:before {\n\tcontent: \"\\2014 \\2009\";\n}\n\nblockquote.tc-big-quote:before {\n\tfont-family: Georgia, serif;\n\tcolor: <<colour blockquote-bar>>;\n\tcontent: open-quote;\n\tfont-size: 8em;\n\tline-height: 0.1em;\n\tmargin-right: 0.25em;\n\tvertical-align: -0.4em;\n\tposition: absolute;\n    left: -50px;\n    top: 42px;\n}\n\nblockquote.tc-big-quote:after {\n\tfont-family: Georgia, serif;\n\tcolor: <<colour blockquote-bar>>;\n\tcontent: close-quote;\n\tfont-size: 8em;\n\tline-height: 0.1em;\n\tmargin-right: 0.25em;\n\tvertical-align: -0.4em;\n\tposition: absolute;\n    right: -80px;\n    bottom: -20px;\n}\n\ndl dt {\n\tfont-weight: bold;\n\tmargin-top: 6px;\n}\n\nbutton, textarea, input, select {\n\toutline-color: <<colour primary>>;\n}\n\ntextarea,\ninput[type=text],\ninput[type=search],\ninput[type=\"\"],\ninput:not([type]) {\n\tcolor: <<colour foreground>>;\n\tbackground: <<colour background>>;\n}\n\ninput[type=\"checkbox\"] {\n  vertical-align: middle;\n}\n\ninput[type=\"search\"]::-webkit-search-decoration,\ninput[type=\"search\"]::-webkit-search-cancel-button,\ninput[type=\"search\"]::-webkit-search-results-button,\ninput[type=\"search\"]::-webkit-search-results-decoration {\n\t-webkit-appearance:none;\n}\n\n.tc-muted {\n\tcolor: <<colour muted-foreground>>;\n}\n\nsvg.tc-image-button {\n\tpadding: 0px 1px 1px 0px;\n}\n\n.tc-icon-wrapper > svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\nkbd {\n\tdisplay: inline-block;\n\tpadding: 3px 5px;\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tcolor: <<colour foreground>>;\n\tvertical-align: middle;\n\tbackground-color: <<colour background>>;\n\tborder: solid 1px <<colour muted-foreground>>;\n\tborder-bottom-color: <<colour muted-foreground>>;\n\tborder-radius: 3px;\n\tbox-shadow: inset 0 -1px 0 <<colour muted-foreground>>;\n}\n\n::selection {\n\tbackground-color: Highlight;\n\tcolor: HighlightText;\n\tbackground-color: <<colour selection-background>>;\n\tcolor: <<colour selection-foreground>>;\n}\n\n/*\nMarkdown likes putting code elements inside pre elements\n*/\npre > code {\n\tpadding: 0;\n\tborder: none;\n\tbackground-color: inherit;\n\tcolor: inherit;\n}\n\ntable {\n\tborder: 1px solid <<colour table-border>>;\n\twidth: auto;\n\tmax-width: 100%;\n\tcaption-side: bottom;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n\t/* next 2 elements needed, since normalize 8.0.1 */\n\tborder-collapse: collapse;\n\tborder-spacing: 0;\n}\n\ntable th, table td {\n\tpadding: 0 7px 0 7px;\n\tborder-top: 1px solid <<colour table-border>>;\n\tborder-left: 1px solid <<colour table-border>>;\n}\n\ntable thead tr td, table th {\n\tbackground-color: <<colour table-header-background>>;\n\tfont-weight: bold;\n}\n\ntable tfoot tr td {\n\tbackground-color: <<colour table-footer-background>>;\n}\n\n.tc-csv-table {\n\twhite-space: nowrap;\n}\n\n.tc-tiddler-frame img,\n.tc-tiddler-frame svg,\n.tc-tiddler-frame canvas,\n.tc-tiddler-frame embed,\n.tc-tiddler-frame iframe {\n\tmax-width: 100%;\n}\n\n.tc-tiddler-body > embed,\n.tc-tiddler-body > iframe {\n\twidth: 100%;\n\theight: 600px;\n}\n\n/*\n** Links\n*/\n\nbutton.tc-tiddlylink,\na.tc-tiddlylink {\n\ttext-decoration: none;\n\tfont-weight: 500;\n\tcolor: <<colour tiddler-link-foreground>>;\n\t-webkit-user-select: inherit; /* Otherwise the draggable attribute makes links impossible to select */\n}\n\n.tc-sidebar-lists a.tc-tiddlylink {\n\tcolor: <<colour sidebar-tiddler-link-foreground>>;\n}\n\n.tc-sidebar-lists a.tc-tiddlylink:hover {\n\tcolor: <<colour sidebar-tiddler-link-foreground-hover>>;\n}\n\nbutton.tc-tiddlylink:hover,\na.tc-tiddlylink:hover {\n\ttext-decoration: underline;\n}\n\na.tc-tiddlylink-resolves {\n}\n\na.tc-tiddlylink-shadow {\n\tfont-weight: bold;\n}\n\na.tc-tiddlylink-shadow.tc-tiddlylink-resolves {\n\tfont-weight: normal;\n}\n\na.tc-tiddlylink-missing {\n\tfont-style: italic;\n}\n\na.tc-tiddlylink-external {\n\ttext-decoration: underline;\n\tcolor: <<colour external-link-foreground>>;\n\tbackground-color: <<colour external-link-background>>;\n}\n\na.tc-tiddlylink-external:visited {\n\tcolor: <<colour external-link-foreground-visited>>;\n\tbackground-color: <<colour external-link-background-visited>>;\n}\n\na.tc-tiddlylink-external:hover {\n\tcolor: <<colour external-link-foreground-hover>>;\n\tbackground-color: <<colour external-link-background-hover>>;\n}\n\n.tc-drop-down a.tc-tiddlylink:hover {\n\tcolor: <<colour tiddler-link-background>>;\n}\n\n/*\n** Drag and drop styles\n*/\n\n.tc-tiddler-dragger {\n\tposition: relative;\n\tz-index: -10000;\n}\n\n.tc-tiddler-dragger-inner {\n\tposition: absolute;\n\ttop: -1000px;\n\tleft: -1000px;\n\tdisplay: inline-block;\n\tpadding: 8px 20px;\n\tfont-size: 16.9px;\n\tfont-weight: bold;\n\tline-height: 20px;\n\tcolor: <<colour dragger-foreground>>;\n\ttext-shadow: 0 1px 0 rgba(0, 0, 0, 1);\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n\tbackground-color: <<colour dragger-background>>;\n\tborder-radius: 20px;\n}\n\n.tc-tiddler-dragger-cover {\n\tposition: absolute;\n\tbackground-color: <<colour page-background>>;\n}\n\n.tc-dropzone {\n\tposition: relative;\n}\n\n.tc-dropzone.tc-dragover:before {\n\tz-index: 10000;\n\tdisplay: block;\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbackground: <<colour dropzone-background>>;\n\ttext-align: center;\n\tcontent: \"<<lingo DropMessage>>\";\n}\n\n.tc-droppable > .tc-droppable-placeholder {\n\tdisplay: none;\n}\n\n.tc-droppable.tc-dragover > .tc-droppable-placeholder {\n\tdisplay: block;\n\tborder: 2px dashed <<colour dropzone-background>>;\n}\n\n.tc-draggable {\n\tcursor: move;\n}\n\n.tc-sidebar-tab-open .tc-droppable-placeholder, .tc-tagged-draggable-list .tc-droppable-placeholder,\n.tc-links-draggable-list .tc-droppable-placeholder {\n\tline-height: 2em;\n\theight: 2em;\n}\n\n.tc-sidebar-tab-open-item {\n\tposition: relative;\n}\n\n.tc-sidebar-tab-open .tc-btn-invisible.tc-btn-mini svg {\n\tfont-size: 0.7em;\n\tfill: <<colour muted-foreground>>;\n}\n\n/*\n** Plugin reload warning\n*/\n\n.tc-plugin-reload-warning {\n\tz-index: 1000;\n\tdisplay: block;\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbackground: <<colour alert-background>>;\n\ttext-align: center;\n}\n\n/*\n** Buttons\n*/\n\nbutton svg, button img, label svg, label img {\n\tvertical-align: middle;\n}\n\n.tc-btn-invisible {\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\tcursor: pointer;\n\tcolor: <<colour foreground>>;\n\tfill: <<colour foreground>>;\n}\n\n.tc-btn-boxed {\n\tfont-size: 0.6em;\n\tpadding: 0.2em;\n\tmargin: 1px;\n\tbackground: none;\n\tborder: 1px solid <<colour tiddler-controls-foreground>>;\n\tborder-radius: 0.25em;\n}\n\nhtml body.tc-body .tc-btn-boxed svg {\n\tfont-size: 1.6666em;\n}\n\n.tc-btn-boxed:hover {\n\tbackground: <<colour muted-foreground>>;\n\tcolor: <<colour background>>;\n}\n\nhtml body.tc-body .tc-btn-boxed:hover svg {\n\tfill: <<colour background>>;\n}\n\n.tc-btn-rounded {\n\tfont-size: 0.5em;\n\tline-height: 2;\n\tpadding: 0em 0.3em 0.2em 0.4em;\n\tmargin: 1px;\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour muted-foreground>>;\n\tcolor: <<colour background>>;\n\tborder-radius: 2em;\n}\n\nhtml body.tc-body .tc-btn-rounded svg {\n\tfont-size: 1.6666em;\n\tfill: <<colour background>>;\n}\n\n.tc-btn-rounded:hover {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour background>>;\n\tcolor: <<colour muted-foreground>>;\n}\n\nhtml body.tc-body .tc-btn-rounded:hover svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-btn-icon svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-btn-text {\n\tpadding: 0;\n\tmargin: 0;\n}\n\n/* used for documentation \"fake\" buttons */\n.tc-btn-standard {\n\tline-height: 1.8;\n\tcolor: #667;\n\tbackground-color: #e0e0e0;\n\tborder: 1px solid #888;\n\tpadding: 2px 1px 2px 1px;\n\tmargin: 1px 4px 1px 4px;\n}\n\n.tc-btn-big-green {\n\tdisplay: inline-block;\n\tpadding: 8px;\n\tmargin: 4px 8px 4px 8px;\n\tbackground: <<colour download-background>>;\n\tcolor: <<colour download-foreground>>;\n\tfill: <<colour download-foreground>>;\n\tborder: none;\n\tborder-radius: 2px;\n\tfont-size: 1.2em;\n\tline-height: 1.4em;\n\ttext-decoration: none;\n}\n\n.tc-btn-big-green svg,\n.tc-btn-big-green img {\n\theight: 2em;\n\twidth: 2em;\n\tvertical-align: middle;\n\tfill: <<colour download-foreground>>;\n}\n\n.tc-primary-btn {\n \tbackground: <<colour primary>>;\n}\n\n.tc-sidebar-lists input {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-sidebar-lists button {\n\tcolor: <<colour sidebar-button-foreground>>;\n\tfill: <<colour sidebar-button-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini {\n\tcolor: <<colour sidebar-muted-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini:hover {\n\tcolor: <<colour sidebar-muted-foreground-hover>>;\n}\n\n.tc-sidebar-lists button small {\n\tcolor: <<colour foreground>>;\n}\n\nbutton svg.tc-image-button, button .tc-image-button img {\n\theight: 1em;\n\twidth: 1em;\n}\n\n.tc-unfold-banner {\n\tposition: absolute;\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\twidth: 100%;\n\twidth: calc(100% + 2px);\n\tmargin-left: -43px;\n\ttext-align: center;\n\tborder-top: 2px solid <<colour tiddler-info-background>>;\n\tmargin-top: 4px;\n}\n\n.tc-unfold-banner:hover {\n\tbackground: <<colour tiddler-info-background>>;\n\tborder-top: 2px solid <<colour tiddler-info-border>>;\n}\n\n.tc-unfold-banner svg, .tc-fold-banner svg {\n\theight: 0.75em;\n\tfill: <<colour tiddler-controls-foreground>>;\n}\n\n.tc-unfold-banner:hover svg, .tc-fold-banner:hover svg {\n\tfill: <<colour tiddler-controls-foreground-hover>>;\n}\n\n.tc-fold-banner {\n\tposition: absolute;\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\twidth: 23px;\n\ttext-align: center;\n\tmargin-left: -35px;\n\ttop: 6px;\n\tbottom: 6px;\n}\n\n.tc-fold-banner:hover {\n\tbackground: <<colour tiddler-info-background>>;\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\n\t.tc-unfold-banner {\n\t\tposition: static;\n\t\twidth: calc(100% + 59px);\n\t}\n\n\t.tc-fold-banner {\n\t\twidth: 16px;\n\t\tmargin-left: -16px;\n\t\tfont-size: 0.75em;\n\t}\n\n}\n\n/*\n** Tags and missing tiddlers\n*/\n\n.tc-tag-list-item {\n\tposition: relative;\n\tdisplay: inline-block;\n\tmargin-right: 7px;\n}\n\n.tc-tags-wrapper {\n\tmargin: 4px 0 14px 0;\n}\n\n.tc-missing-tiddler-label {\n\tfont-style: italic;\n\tfont-weight: normal;\n\tdisplay: inline-block;\n\tfont-size: 11.844px;\n\tline-height: 14px;\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n}\n\n.tc-block-tags-dropdown > .tc-btn-invisible:hover {\n\tbackground-color: <<colour primary>>;\n}\n\nbutton.tc-tag-label, span.tc-tag-label {\n\tdisplay: inline-block;\n\tpadding: 0.16em 0.7em;\n\tfont-size: 0.9em;\n\tfont-weight: 400;\n\tline-height: 1.2em;\n\tcolor: <<colour tag-foreground>>;\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n\tbackground-color: <<colour tag-background>>;\n\tborder-radius: 1em;\n}\n\n.tc-sidebar-scrollable .tc-tag-label {\n\ttext-shadow: none;\n}\n\n.tc-untagged-separator {\n\twidth: 10em;\n\tleft: 0;\n\tmargin-left: 0;\n\tborder: 0;\n\theight: 1px;\n\tbackground: <<colour tab-divider>>;\n}\n\nbutton.tc-untagged-label {\n\tbackground-color: <<colour untagged-background>>;\n}\n\n.tc-tag-label svg, .tc-tag-label img {\n\theight: 1em;\n\twidth: 1em;\n\tmargin-right: 3px; \n\tmargin-bottom: 1px;\n\tvertical-align: bottom;\n}\n\n.tc-edit-tags button.tc-remove-tag-button svg {\n\tfont-size: 0.7em;\n\tvertical-align: middle;\n}\n\n.tc-tag-manager-table .tc-tag-label {\n\twhite-space: normal;\n}\n\n.tc-tag-manager-tag {\n\twidth: 100%;\n}\n\nbutton.tc-btn-invisible.tc-remove-tag-button {\n\toutline: none;\n}\n\n.tc-tag-button-selected,\n.tc-list-item-selected a.tc-tiddlylink, a.tc-list-item-selected {\n\tbackground-color: <<colour primary>>;\n\tcolor: <<colour tiddler-background>>;\n}\n\n/*\n** Page layout\n*/\n\n.tc-topbar {\n\tposition: fixed;\n\tz-index: 1200;\n}\n\n.tc-topbar-left {\n\tleft: 29px;\n\ttop: 5px;\n}\n\n.tc-topbar-right {\n\ttop: 5px;\n\tright: 29px;\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\n\t.tc-topbar-right {\n\t\tright: 10px;\n\t}\n\n}\n\n.tc-topbar button {\n\tpadding: 8px;\n}\n\n.tc-topbar svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-topbar button:hover svg {\n\tfill: <<colour foreground>>;\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\n\t.tc-show-sidebar-btn svg.tc-image-chevron-left, .tc-hide-sidebar-btn svg.tc-image-chevron-right {\n\t\ttransform: rotate(-90deg);\n\t}\n\n}\n\n.tc-sidebar-header {\n\tcolor: <<colour sidebar-foreground>>;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-sidebar-header .tc-title a.tc-tiddlylink-resolves {\n\tfont-weight: 300;\n}\n\n.tc-sidebar-header .tc-sidebar-lists p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-sidebar-header .tc-missing-tiddler-label {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-advanced-search input {\n\twidth: 60%;\n}\n\n.tc-search a svg {\n\twidth: 1.2em;\n\theight: 1.2em;\n\tvertical-align: middle;\n}\n\n.tc-page-controls {\n\tmargin-top: 14px;\n\tfont-size: 1.5em;\n}\n\n.tc-page-controls .tc-drop-down {\n  font-size: 1rem;\n}\n\n.tc-page-controls button {\n\tmargin-right: 0.5em;\n}\n\n.tc-page-controls a.tc-tiddlylink:hover {\n\ttext-decoration: none;\n}\n\n.tc-page-controls img {\n\twidth: 1em;\n}\n\n.tc-page-controls svg {\n\tfill: <<colour sidebar-controls-foreground>>;\n}\n\n.tc-page-controls button:hover svg, .tc-page-controls a:hover svg {\n\tfill: <<colour sidebar-controls-foreground-hover>>;\n}\n\n.tc-sidebar-lists .tc-menu-list-item {\n\twhite-space: nowrap;\n}\n\n.tc-menu-list-count {\n\tfont-weight: bold;\n}\n\n.tc-menu-list-subitem {\n\tpadding-left: 7px;\n}\n\n.tc-story-river {\n\tposition: relative;\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\n\t.tc-sidebar-header {\n\t\tpadding: 14px;\n\t\tmin-height: 32px;\n\t\tmargin-top: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\ttransition:  min-height {{$:/config/AnimationDuration}}ms ease-in-out, padding-top {{$:/config/AnimationDuration}}ms ease-in-out, padding-bottom {{$:/config/AnimationDuration}}ms ease-in-out;\n\t}\n\t\n\t<<if-no-sidebar \"\"\"\n\n\t\t.tc-sidebar-header {\n\t\t\tmin-height: 0;\n\t\t\tpadding-top: 0;\n\t\t\tpadding-bottom: 0;\n\t\t}\n\n\t\"\"\">>\n\n\t.tc-story-river {\n\t\tposition: relative;\n\t\tpadding: 0;\n\t}\n}\n\n@media (min-width: <<sidebarbreakpoint>>) {\n\n\t.tc-message-box {\n\t\tmargin: 21px -21px 21px -21px;\n\t}\n\n\t.tc-sidebar-scrollable {\n\t\tposition: fixed;\n\t\ttop: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\tleft: {{$:/themes/tiddlywiki/vanilla/metrics/storyright}};\n\t\tbottom: 0;\n\t\tright: 0;\n\t\toverflow-y: auto;\n\t\toverflow-x: auto;\n\t\t-webkit-overflow-scrolling: touch;\n\t\tmargin: 0 0 0 -42px;\n\t\tpadding: 71px 0 28px 42px;\n\t}\n\n\thtml[dir=\"rtl\"] .tc-sidebar-scrollable {\n\t\tleft: auto;\n\t\tright: {{$:/themes/tiddlywiki/vanilla/metrics/storyright}};\n\t}\n\n\t.tc-story-river {\n\t\tposition: relative;\n\t\tleft: {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}};\n\t\ttop: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/storywidth}};\n\t\tpadding: 42px 42px 42px 42px;\n\t}\n\n<<if-no-sidebar \"\n\n\t.tc-story-river {\n\t\twidth: calc(100% - {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}});\n\t}\n\n\">>\n\n\t.tc-story-river.tc-static-story-river {\n\t\tmargin-right: 0;\n\t\tpadding-right: 42px;\n\t}\n\n}\n\n@media print {\n\n\tbody.tc-body {\n\t\tbackground-color: transparent;\n\t}\n\n\t.tc-sidebar-header, .tc-topbar {\n\t\tdisplay: none;\n\t}\n\n\t.tc-story-river {\n\t\tmargin: 0;\n\t\tpadding: 0;\n\t}\n\n\t.tc-story-river .tc-tiddler-frame {\n\t\tmargin: 0;\n\t\tborder: none;\n\t\tpadding: 0;\n\t}\n}\n\n/*\n** Tiddler styles\n*/\n\n.tc-tiddler-frame {\n\tposition: relative;\n\tmargin-bottom: 28px;\n\tbackground-color: <<colour tiddler-background>>;\n\tborder: 1px solid <<colour tiddler-border>>;\n}\n\n{{$:/themes/tiddlywiki/vanilla/sticky}}\n\n.tc-tiddler-info {\n\tpadding: 14px 42px 14px 42px;\n\tbackground-color: <<colour tiddler-info-background>>;\n\tborder-top: 1px solid <<colour tiddler-info-border>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-border>>;\n}\n\n.tc-tiddler-info p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-tiddler-info .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour tiddler-info-tab-background>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-tab-background>>;\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\n\t.tc-tiddler-info {\n\t\tpadding: 14px 14px 14px 14px;\n\t}\n\n}\n\n.tc-view-field-table {\n\twidth: 100%;\n}\n\n.tc-view-field-name {\n\twidth: 1%; /* Makes this column be as narrow as possible */\n\ttext-align: right;\n\tfont-style: italic;\n\tfont-weight: 200;\n}\n\n.tc-view-field-value {\n}\n\n@media (max-width: <<sidebarbreakpoint-minus-one>>) {\n\t.tc-tiddler-frame {\n\t\tpadding: 14px 14px 14px 14px;\n\t\tmargin-bottom: .5em;\n\t}\n\n\t.tc-tiddler-info {\n\t\tmargin: 0 -14px 0 -14px;\n\t}\n}\n\n@media (min-width: <<sidebarbreakpoint>>) {\n\t.tc-tiddler-frame {\n\t\tpadding: 28px 42px 42px 42px;\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth}};\n\t\tborder-radius: 2px;\n\t}\n\n<<if-no-sidebar \"\n\n\t.tc-tiddler-frame {\n\t\twidth: 100%;\n\t}\n\n\">>\n\n\t.tc-tiddler-info {\n\t\tmargin: 0 -42px 0 -42px;\n\t}\n}\n\n.tc-site-title,\n.tc-titlebar {\n\tfont-weight: 300;\n\tfont-size: 2.35em;\n\tline-height: 1.35em;\n\tcolor: <<colour tiddler-title-foreground>>;\n\tmargin: 0;\n}\n\n.tc-site-title {\n\tcolor: <<colour site-title-foreground>>;\n}\n\n.tc-tiddler-title-icon {\n\tvertical-align: middle;\n\tmargin-right: .1em;\n}\n\n.tc-system-title-prefix {\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-titlebar h2 {\n\tfont-size: 1em;\n\tdisplay: inline;\n}\n\n.tc-titlebar img {\n\theight: 1em;\n}\n\n.tc-subtitle {\n\tfont-size: 0.9em;\n\tcolor: <<colour tiddler-subtitle-foreground>>;\n\tfont-weight: 300;\n}\n\n.tc-subtitle .tc-tiddlylink {\n\tmargin-right: .3em;\n}\n\n.tc-tiddler-missing .tc-title {\n  font-style: italic;\n  font-weight: normal;\n}\n\n.tc-tiddler-frame .tc-tiddler-controls {\n\tfloat: right;\n}\n\n.tc-tiddler-controls .tc-drop-down {\n\tfont-size: 0.6em;\n}\n\n.tc-tiddler-controls .tc-drop-down .tc-drop-down {\n\tfont-size: 1em;\n}\n\n.tc-tiddler-controls > span > button,\n.tc-tiddler-controls > span > span > button,\n.tc-tiddler-controls > span > span > span > button {\n\tvertical-align: baseline;\n\tmargin-left:5px;\n}\n\n.tc-tiddler-controls button svg, .tc-tiddler-controls button img,\n.tc-search button svg, .tc-search a svg {\n\tfill: <<colour tiddler-controls-foreground>>;\n}\n\n.tc-tiddler-controls button svg, .tc-tiddler-controls button img {\n\theight: 0.75em;\n}\n\n.tc-search button svg, .tc-search a svg {\n    height: 1.2em;\n    width: 1.2em;\n    margin: 0 0.25em;\n}\n\n.tc-tiddler-controls button.tc-selected svg,\n.tc-page-controls button.tc-selected svg  {\n\tfill: <<colour tiddler-controls-foreground-selected>>;\n}\n\n.tc-tiddler-controls button.tc-btn-invisible:hover svg,\n.tc-search button:hover svg, .tc-search a:hover svg {\n\tfill: <<colour tiddler-controls-foreground-hover>>;\n}\n\n@media print {\n\t.tc-tiddler-controls {\n\t\tdisplay: none;\n\t}\n}\n\n.tc-tiddler-help { /* Help prompts within tiddler template */\n\tcolor: <<colour muted-foreground>>;\n\tmargin-top: 14px;\n}\n\n.tc-tiddler-help a.tc-tiddlylink {\n\tcolor: <<colour very-muted-foreground>>;\n}\n\n.tc-tiddler-frame .tc-edit-texteditor {\n\twidth: 100%;\n\tmargin: 4px 0 4px 0;\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor,\n.tc-tiddler-frame textarea.tc-edit-texteditor,\n.tc-tiddler-frame iframe.tc-edit-texteditor {\n\tpadding: 3px 3px 3px 3px;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tline-height: 1.3em;\n\t-webkit-appearance: none;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/editorfontfamily}};\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor,\n.tc-tiddler-frame textarea.tc-edit-texteditor {\n\tbackground-color: <<colour tiddler-editor-background>>;\n}\n\n.tc-tiddler-frame iframe.tc-edit-texteditor {\n\tbackground-color: <<colour tiddler-background>>;\n}\n\n.tc-tiddler-frame .tc-binary-warning {\n\twidth: 100%;\n\theight: 5em;\n\ttext-align: center;\n\tpadding: 3em 3em 6em 3em;\n\tbackground: <<colour alert-background>>;\n\tborder: 1px solid <<colour alert-border>>;\n}\n\ncanvas.tc-edit-bitmapeditor  {\n\tborder: 6px solid <<colour tiddler-editor-border-image>>;\n\tcursor: crosshair;\n\t-moz-user-select: none;\n\t-webkit-user-select: none;\n\t-ms-user-select: none;\n\tmargin-top: 6px;\n\tmargin-bottom: 6px;\n}\n\n.tc-edit-bitmapeditor-width {\n\tdisplay: block;\n}\n\n.tc-edit-bitmapeditor-height {\n\tdisplay: block;\n}\n\n.tc-tiddler-body {\n\tclear: both;\n}\n\n.tc-tiddler-frame .tc-tiddler-body {\n\tfont-size: {{$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize}};\n\tline-height: {{$:/themes/tiddlywiki/vanilla/metrics/bodylineheight}};\n}\n\n.tc-titlebar, .tc-tiddler-edit-title {\n\toverflow: hidden; /* https://github.com/Jermolene/TiddlyWiki5/issues/282 */\n}\n\nhtml body.tc-body.tc-single-tiddler-window {\n\tmargin: 1em;\n\tbackground: <<colour tiddler-background>>;\n}\n\n.tc-single-tiddler-window img,\n.tc-single-tiddler-window svg,\n.tc-single-tiddler-window canvas,\n.tc-single-tiddler-window embed,\n.tc-single-tiddler-window iframe {\n\tmax-width: 100%;\n}\n\n/*\n** Editor\n*/\n\n.tc-editor-toolbar {\n\tmargin-top: 8px;\n}\n\n.tc-editor-toolbar button {\n\tvertical-align: middle;\n\tbackground-color: <<colour tiddler-controls-foreground>>;\n\tcolor: <<colour tiddler-controls-foreground-selected>>;\n\tfill: <<colour tiddler-controls-foreground-selected>>;\n\tborder-radius: 4px;\n\tpadding: 3px;\n\tmargin: 2px 0 2px 4px;\n}\n\n.tc-editor-toolbar button.tc-text-editor-toolbar-item-adjunct {\n\tmargin-left: 1px;\n\twidth: 1em;\n\tborder-radius: 8px;\n}\n\n.tc-editor-toolbar button.tc-text-editor-toolbar-item-start-group {\n\tmargin-left: 11px;\n}\n\n.tc-editor-toolbar button.tc-selected {\n\tbackground-color: <<colour primary>>;\n}\n\n.tc-editor-toolbar button svg {\n\twidth: 1.6em;\n\theight: 1.2em;\n}\n\n.tc-editor-toolbar button:hover {\n\tbackground-color: <<colour tiddler-controls-foreground-selected>>;\n\tfill: <<colour background>>;\n\tcolor: <<colour background>>;\n}\n\n.tc-editor-toolbar .tc-text-editor-toolbar-more {\n\twhite-space: normal;\n}\n\n.tc-editor-toolbar .tc-text-editor-toolbar-more button {\n\tdisplay: inline-block;\n\tpadding: 3px;\n\twidth: auto;\n}\n\n.tc-editor-toolbar .tc-search-results {\n\tpadding: 0;\n}\n\n/*\n** Adjustments for fluid-fixed mode\n*/\n\n@media (min-width: <<sidebarbreakpoint>>) {\n\n<<if-fluid-fixed text:\"\"\"\n\n\t.tc-story-river {\n\t\tpadding-right: 0;\n\t\tposition: relative;\n\t\twidth: auto;\n\t\tleft: 0;\n\t\tmargin-left: {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}};\n\t\tmargin-right: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}};\n\t}\n\n\t.tc-tiddler-frame {\n\t\twidth: 100%;\n\t}\n\n\t.tc-sidebar-scrollable {\n\t\tleft: auto;\n\t\tbottom: 0;\n\t\tright: 0;\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}};\n\t}\n\n\tbody.tc-body .tc-storyview-zoomin-tiddler {\n\t\twidth: 100%;\n\t\twidth: calc(100% - 42px);\n\t}\n\n\"\"\" hiddenSidebarText:\"\"\"\n\n\t.tc-story-river {\n\t\tpadding-right: 3em;\n\t\tmargin-right: 0;\n\t}\n\n\tbody.tc-body .tc-storyview-zoomin-tiddler {\n\t\twidth: 100%;\n\t\twidth: calc(100% - 84px);\n\t}\n\n\"\"\">>\n\n}\n\n/*\n** Toolbar buttons\n*/\n\n.tc-page-controls svg.tc-image-new-button {\n  fill: <<colour toolbar-new-button>>;\n}\n\n.tc-page-controls svg.tc-image-options-button {\n  fill: <<colour toolbar-options-button>>;\n}\n\n.tc-page-controls svg.tc-image-save-button {\n  fill: <<colour toolbar-save-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-info-button {\n  fill: <<colour toolbar-info-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-edit-button {\n  fill: <<colour toolbar-edit-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-close-button {\n  fill: <<colour toolbar-close-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-delete-button {\n  fill: <<colour toolbar-delete-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-cancel-button {\n  fill: <<colour toolbar-cancel-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-done-button {\n  fill: <<colour toolbar-done-button>>;\n}\n\n/*\n** Tiddler edit mode\n*/\n\n.tc-tiddler-edit-frame em.tc-edit {\n\tcolor: <<colour muted-foreground>>;\n\tfont-style: normal;\n}\n\n.tc-edit-type-dropdown a.tc-tiddlylink-missing {\n\tfont-style: normal;\n}\n\n.tc-type-selector .tc-edit-typeeditor {\n\twidth: auto;\n}\n\n.tc-type-selector-dropdown-wrapper {\n\tdisplay: inline-block;\n}\n\n<<set-type-selector-min-width>>\n\n.tc-edit-tags {\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tpadding: 4px 8px 4px 8px;\n}\n\n.tc-edit-add-tag {\n\tdisplay: inline-block;\n}\n\n.tc-edit-add-tag .tc-add-tag-name input {\n\twidth: 50%;\n}\n\n.tc-edit-add-tag .tc-keyboard {\n\tdisplay:inline;\n}\n\n.tc-edit-tags .tc-tag-label {\n\tdisplay: inline-block;\n}\n\n.tc-edit-tags-list {\n\tmargin: 14px 0 14px 0;\n}\n\n.tc-remove-tag-button {\n\tpadding-left: 4px;\n}\n\n.tc-tiddler-preview {\n\toverflow: auto;\n}\n\n.tc-tiddler-preview-preview {\n\tfloat: right;\n\twidth: 49%;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tmargin: 4px 0 3px 3px;\n\tpadding: 3px 3px 3px 3px;\n}\n\n<<if-editor-height-fixed then:\"\"\"\n\n.tc-tiddler-preview-preview {\n\toverflow-y: scroll;\n\theight: {{$:/config/TextEditor/EditorHeight/Height}};\n}\n\n\"\"\">>\n\n.tc-tiddler-frame .tc-tiddler-preview .tc-edit-texteditor {\n\twidth: 49%;\n}\n\n.tc-tiddler-frame .tc-tiddler-preview canvas.tc-edit-bitmapeditor {\n\tmax-width: 49%;\n}\n\n.tc-edit-fields {\n\twidth: 100%;\n}\n\n.tc-edit-fields.tc-edit-fields-small {\n\tmargin-top: 0;\n\tmargin-bottom: 0;\n}\n\n.tc-edit-fields table, .tc-edit-fields tr, .tc-edit-fields td {\n\tborder: none;\n\tpadding: 4px;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(odd) {\n\tbackground-color: <<colour tiddler-editor-fields-odd>>;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(even) {\n\tbackground-color: <<colour tiddler-editor-fields-even>>;\n}\n\n.tc-edit-field-name {\n\ttext-align: right;\n}\n\n.tc-edit-field-value input {\n\twidth: 100%;\n}\n\n.tc-edit-field-remove {\n}\n\n.tc-edit-field-remove svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n\tvertical-align: middle;\n}\n\n.tc-edit-field-add-name-wrapper input.tc-edit-texteditor {\n\twidth: auto;\n}\n\n.tc-edit-field-add-name-wrapper {\n\tdisplay: inline-block;\n}\n\n.tc-edit-field-add-value {\n\tdisplay: inline-block;\n}\n\n@media (min-width: <<sidebarbreakpoint>>) {\n\n\t.tc-edit-field-add-value {\n\t\twidth: 35%;\n\t}\n\n}\n\n.tc-edit-field-add-button {\n\tdisplay: inline-block;\n\twidth: 10%;\n}\n\n/*\n** Storyview Classes\n*/\n\n.tc-viewswitcher .tc-image-button {\n\tmargin-right: .3em;\n}\n\n.tc-storyview-zoomin-tiddler {\n\tposition: absolute;\n\tdisplay: block;\n\twidth: 100%;\n}\n\n@media (min-width: <<sidebarbreakpoint>>) {\n\n\t.tc-storyview-zoomin-tiddler {\n\t\twidth: calc(100% - 84px);\n\t}\n\n}\n\n/*\n** Dropdowns\n*/\n\n.tc-btn-dropdown {\n\ttext-align: left;\n}\n\n.tc-btn-dropdown svg, .tc-btn-dropdown img {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-drop-down-wrapper {\n\tposition: relative;\n}\n\n.tc-drop-down {\n\tmin-width: 380px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\ttext-shadow: none;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-drop-down {\n\tmargin-left: 14px;\n}\n\n.tc-drop-down button svg, .tc-drop-down a svg  {\n\tfill: <<colour foreground>>;\n}\n\n.tc-drop-down button.tc-btn-invisible:hover svg {\n\tfill: <<colour background>>;\n}\n\n.tc-drop-down .tc-drop-down-info {\n\tpadding-left: 14px;\n}\n\n.tc-drop-down p {\n\tpadding: 0 14px 0 14px;\n}\n\n.tc-drop-down svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-drop-down img {\n\twidth: 1em;\n}\n\n.tc-drop-down a, .tc-drop-down button {\n\tdisplay: block;\n\tpadding: 0 14px 0 14px;\n\twidth: 100%;\n\ttext-align: left;\n\tcolor: <<colour foreground>>;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-tab-set .tc-tab-buttons button {\n\tdisplay: inline-block;\n    width: auto;\n    margin-bottom: 0px;\n    border-bottom-left-radius: 0;\n    border-bottom-right-radius: 0;\n}\n\n.tc-drop-down .tc-prompt {\n\tpadding: 0 14px;\n}\n\n.tc-drop-down .tc-chooser {\n\tborder: none;\n}\n\n.tc-drop-down .tc-chooser .tc-swatches-horiz {\n\tfont-size: 0.4em;\n\tpadding-left: 1.2em;\n}\n\n.tc-drop-down .tc-file-input-wrapper {\n\twidth: 100%;\n}\n\n.tc-drop-down .tc-file-input-wrapper button {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-drop-down a:hover, .tc-drop-down button:hover, .tc-drop-down .tc-file-input-wrapper:hover button {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n.tc-drop-down .tc-tab-buttons button {\n\tbackground-color: <<colour dropdown-tab-background>>;\n}\n\n.tc-drop-down .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour dropdown-tab-background-selected>>;\n\tborder-bottom: 1px solid <<colour dropdown-tab-background-selected>>;\n}\n\n.tc-drop-down-bullet {\n\tdisplay: inline-block;\n\twidth: 0.5em;\n}\n\n.tc-drop-down .tc-tab-contents a {\n\tpadding: 0 0.5em 0 0.5em;\n}\n\n.tc-block-dropdown-wrapper {\n\tposition: relative;\n}\n\n.tc-block-dropdown {\n\tposition: absolute;\n\tmin-width: 220px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\tz-index: 1000;\n\ttext-shadow: none;\n}\n\n.tc-block-dropdown.tc-search-drop-down {\n\tmargin-left: -12px;\n}\n\n.tc-block-dropdown a {\n\tdisplay: block;\n\tpadding: 4px 14px 4px 14px;\n}\n\n.tc-block-dropdown.tc-search-drop-down a {\n\tdisplay: block;\n\tpadding: 0px 10px 0px 10px;\n}\n\n.tc-drop-down .tc-dropdown-item-plain,\n.tc-block-dropdown .tc-dropdown-item-plain {\n\tpadding: 4px 14px 4px 7px;\n}\n\n.tc-drop-down .tc-dropdown-item,\n.tc-block-dropdown .tc-dropdown-item {\n\tpadding: 4px 14px 4px 7px;\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-block-dropdown a.tc-tiddlylink:hover {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n.tc-search-results {\n\tpadding: 0 7px 0 7px;\n}\n\n.tc-image-chooser, .tc-colour-chooser {\n\twhite-space: normal;\n}\n\n.tc-image-chooser a,\n.tc-colour-chooser a {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\ttext-align: center;\n\tposition: relative;\n}\n\n.tc-image-chooser a {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tpadding: 2px;\n\tmargin: 2px;\n\twidth: 4em;\n\theight: 4em;\n}\n\n.tc-colour-chooser a {\n\tpadding: 3px;\n\twidth: 2em;\n\theight: 2em;\n\tvertical-align: middle;\n}\n\n.tc-image-chooser a:hover,\n.tc-colour-chooser a:hover {\n\tbackground: <<colour primary>>;\n\tpadding: 0px;\n\tborder: 3px solid <<colour primary>>;\n}\n\n.tc-image-chooser a svg,\n.tc-image-chooser a img {\n\tdisplay: inline-block;\n\twidth: auto;\n\theight: auto;\n\tmax-width: 3.5em;\n\tmax-height: 3.5em;\n\tposition: absolute;\n\ttop: 0;\n\tbottom: 0;\n\tleft: 0;\n\tright: 0;\n\tmargin: auto;\n}\n\n/*\n** Modals\n*/\n\n.tc-modal-wrapper {\n\tposition: fixed;\n\toverflow: auto;\n\toverflow-y: scroll;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n\tz-index: 900;\n}\n\n.tc-modal-backdrop {\n\tposition: fixed;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n\tz-index: 1000;\n\tbackground-color: <<colour modal-backdrop>>;\n}\n\n.tc-modal {\n\tz-index: 1100;\n\tbackground-color: <<colour modal-background>>;\n\tborder: 1px solid <<colour modal-border>>;\n}\n\n@media (max-width: 55em) {\n\t.tc-modal {\n\t\tposition: fixed;\n\t\ttop: 1em;\n\t\tleft: 1em;\n\t\tright: 1em;\n\t}\n\n\t.tc-modal-body {\n\t\toverflow-y: auto;\n\t\tmax-height: 400px;\n\t\tmax-height: 60vh;\n\t}\n}\n\n@media (min-width: 55em) {\n\t.tc-modal {\n\t\tposition: fixed;\n\t\ttop: 2em;\n\t\tleft: 25%;\n\t\twidth: 50%;\n\t}\n\n\t.tc-modal-body {\n\t\toverflow-y: auto;\n\t\tmax-height: 400px;\n\t\tmax-height: 60vh;\n\t}\n}\n\n.tc-modal-header {\n\tpadding: 9px 15px;\n\tborder-bottom: 1px solid <<colour modal-header-border>>;\n}\n\n.tc-modal-header h3 {\n\tmargin: 0;\n\tline-height: 30px;\n}\n\n.tc-modal-header img, .tc-modal-header svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-modal-body {\n\tpadding: 15px;\n}\n\n.tc-modal-footer {\n\tpadding: 14px 15px 15px;\n\tmargin-bottom: 0;\n\ttext-align: right;\n\tbackground-color: <<colour modal-footer-background>>;\n\tborder-top: 1px solid <<colour modal-footer-border>>;\n}\n\n\n/*\n** Centered modals\n*/\n.tc-modal-centered .tc-modal {\n\twidth: auto;\n\ttop: 50%;\n\tleft: 50%;\n\ttransform: translate(-50%, -50%) !important;\n}\n\n/*\n** Notifications\n*/\n\n.tc-notification {\n\tposition: fixed;\n\ttop: 14px;\n\tright: 42px;\n\tz-index: 1300;\n\tmax-width: 280px;\n\tpadding: 0 14px 0 14px;\n\tbackground-color: <<colour notification-background>>;\n\tborder: 1px solid <<colour notification-border>>;\n}\n\n/*\n** Tabs\n*/\n\n.tc-tab-set.tc-vertical {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tab-buttons {\n\tfont-size: 0.85em;\n\tpadding-top: 1em;\n\tmargin-bottom: -2px;\n}\n\n.tc-tab-buttons.tc-vertical  {\n\tz-index: 100;\n\tdisplay: block;\n\tpadding-top: 14px;\n\tvertical-align: top;\n\ttext-align: right;\n\tmargin-bottom: inherit;\n\tmargin-right: -1px;\n\tmax-width: 33%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n}\n\n.tc-tab-buttons button.tc-tab-selected {\n\tcolor: <<colour tab-foreground-selected>>;\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-left: 1px solid <<colour tab-border-selected>>;\n\tborder-top: 1px solid <<colour tab-border-selected>>;\n\tborder-right: 1px solid <<colour tab-border-selected>>;\n}\n\n.tc-tab-buttons button {\n\tcolor: <<colour tab-foreground>>;\n\tpadding: 3px 5px 3px 5px;\n\tmargin-right: 0.3em;\n\tfont-weight: 300;\n\tborder: none;\n\tbackground: inherit;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-right: 1px solid <<colour tab-border>>;\n\tborder-top-left-radius: 2px;\n\tborder-top-right-radius: 2px;\n\tborder-bottom-left-radius: 0;\n\tborder-bottom-right-radius: 0;\n}\n\n.tc-tab-buttons.tc-vertical button {\n\tdisplay: block;\n\twidth: 100%;\n\tmargin-top: 3px;\n\tmargin-right: 0;\n\ttext-align: right;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tborder-right: none;\n\tborder-top-left-radius: 2px;\n\tborder-bottom-left-radius: 2px;\n\tborder-top-right-radius: 0;\n\tborder-bottom-right-radius: 0;\n}\n\n.tc-tab-buttons.tc-vertical button.tc-tab-selected {\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-right: 1px solid <<colour tab-background-selected>>;\n}\n\n.tc-tab-divider {\n\tborder-top: 1px solid <<colour tab-divider>>;\n}\n\n.tc-tab-divider.tc-vertical  {\n\tdisplay: none;\n}\n\n.tc-tab-content {\n\tmargin-top: 14px;\n}\n\n.tc-tab-content.tc-vertical  {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-top: 0;\n\tpadding-left: 14px;\n\tborder-left: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 70%;\n\tflex: 1 0 70%;\n\toverflow: auto;\n}\n\n.tc-sidebar-lists .tc-tab-buttons {\n\tmargin-bottom: -1px;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tcolor: <<colour sidebar-tab-foreground-selected>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border-selected>>;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button {\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tcolor: <<colour sidebar-tab-foreground>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border>>;\n}\n\n.tc-sidebar-lists .tc-tab-divider {\n\tborder-top: 1px solid <<colour sidebar-tab-divider>>;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button {\n\tdisplay: block;\n\twidth: 100%;\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tborder-top: none;\n\tborder-left: none;\n\tborder-bottom: none;\n\tborder-right: 1px solid #ccc;\n\tmargin-bottom: inherit;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tborder: none;\n}\n\n/*\n** Manager\n*/\n\n.tc-manager-wrapper {\n\t\n}\n\n.tc-manager-controls {\n\t\n}\n\n.tc-manager-control {\n\tmargin: 0.5em 0;\n}\n\n.tc-manager-list {\n\twidth: 100%;\n\tborder-top: 1px solid <<colour muted-foreground>>;\n\tborder-left: 1px solid <<colour muted-foreground>>;\n\tborder-right: 1px solid <<colour muted-foreground>>;\n}\n\n.tc-manager-list-item {\n\n}\n\n.tc-manager-list-item-heading {\n    display: block;\n    width: 100%;\n    text-align: left;\t\n\tborder-bottom: 1px solid <<colour muted-foreground>>;\n\tpadding: 3px;\n}\n\n.tc-manager-list-item-heading-selected {\n\tfont-weight: bold;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n\tbackground-color: <<colour foreground>>;\n}\n\n.tc-manager-list-item-heading:hover {\n\tbackground: <<colour primary>>;\n\tcolor: <<colour background>>;\n}\n\n.tc-manager-list-item-content {\n\tdisplay: flex;\n}\n\n.tc-manager-list-item-content-sidebar {\n    flex: 1 0;\n    background: <<colour tiddler-editor-background>>;\n    border-right: 0.5em solid <<colour muted-foreground>>;\n    border-bottom: 0.5em solid <<colour muted-foreground>>;\n    white-space: nowrap;\n}\n\n.tc-manager-list-item-content-item-heading {\n\tdisplay: block;\n\twidth: 100%;\n\ttext-align: left;\n    background: <<colour muted-foreground>>;\n\ttext-transform: uppercase;\n\tfont-size: 0.6em;\n\tfont-weight: bold;\n    padding: 0.5em 0 0.5em 0;\n}\n\n.tc-manager-list-item-content-item-body {\n\tpadding: 0 0.5em 0 0.5em;\n}\n\n.tc-manager-list-item-content-item-body > pre {\n\tmargin: 0.5em 0 0.5em 0;\n\tborder: none;\n\tbackground: inherit;\n}\n\n.tc-manager-list-item-content-tiddler {\n    flex: 3 1;\n    border-left: 0.5em solid <<colour muted-foreground>>;\n    border-right: 0.5em solid <<colour muted-foreground>>;\n    border-bottom: 0.5em solid <<colour muted-foreground>>;\n}\n\n.tc-manager-list-item-content-item-body > table {\n\tborder: none;\n\tpadding: 0;\n\tmargin: 0;\n}\n\n.tc-manager-list-item-content-item-body > table td {\n\tborder: none;\n}\n\n.tc-manager-icon-editor > button {\n\twidth: 100%;\n}\n\n.tc-manager-icon-editor > button > svg,\n.tc-manager-icon-editor > button > button {\n\twidth: 100%;\n\theight: auto;\n}\n\n/*\n** Import table\n*/\n\n.tc-import-table {\n\twidth: 100%;\n}\n\n.tc-import-table svg.tc-image-edit-button {\n\tmax-width: unset;\n}\n\n.tc-import-table th:first-of-type {\n\twidth: 10%;\n}\n\n.tc-import-table th:last-of-type {\n\twidth: 30%;\n}\n\n.tc-import-table .tc-row-disabled {\n\tbackground: <<colour very-muted-foreground>>10;\n\topacity: 0.8;\n}\n\n.tc-import-table .tc-row-warning {\n\tbackground: <<colour diff-delete-background>>50;\n}\n\n/*\n** Alerts\n*/\n\n.tc-alerts {\n\tposition: fixed;\n\ttop: 28px;\n\tleft: 0;\n\tright: 0;\n\tmax-width: 50%;\n\tz-index: 20000;\n}\n\n.tc-alert {\n\tposition: relative;\n\tmargin: 14px;\n\tpadding: 7px;\n\tborder: 1px solid <<colour alert-border>>;\n\tbackground-color: <<colour alert-background>>;\n}\n\n.tc-alert-toolbar {\n\tposition: absolute;\n\ttop: 7px;\n\tright: 7px;\n    line-height: 0;\n}\n\n.tc-alert-toolbar svg {\n\tfill: <<colour alert-muted-foreground>>;\n}\n\n.tc-alert-subtitle {\n\tcolor: <<colour alert-muted-foreground>>;\n\tfont-weight: bold;\n    font-size: 0.8em;\n    margin-bottom: 0.5em;\n}\n\n.tc-alert-body > p {\n\tmargin: 0;\n}\n\n.tc-alert-highlight {\n\tcolor: <<colour alert-highlight>>;\n}\n\n@media (min-width: <<sidebarbreakpoint>>) {\n\n\t.tc-static-alert {\n\t\tposition: relative;\n\t}\n\n\t.tc-static-alert-inner {\n\t\tposition: absolute;\n\t\tz-index: 100;\n\t}\n\n}\n\n.tc-static-alert-inner {\n\tpadding: 0 2px 2px 42px;\n\tcolor: <<colour static-alert-foreground>>;\n}\n\n/*\n** Floating drafts list\n*/\n\n.tc-drafts-list {\n\tz-index: 2000;\n\tposition: fixed;\n\tfont-size: 0.8em;\n\tleft: 0;\n\tbottom: 0;\n}\n\n.tc-drafts-list a {\n\tmargin: 0 0.5em;\n\tpadding: 4px 4px;\n\tborder-top-left-radius: 4px;\n\tborder-top-right-radius: 4px;\n\tborder: 1px solid <<colour background>>;\n\tborder-bottom-none;\n\tbackground: <<colour dirty-indicator>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n}\n\n.tc-drafts-list a:hover {\n\ttext-decoration: none;\n\tbackground: <<colour foreground>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n}\n\n.tc-drafts-list a svg {\n\twidth: 1em;\n\theight: 1em;\n\tvertical-align: text-bottom;\n}\n\n/*\n** Control panel\n*/\n\n.tc-control-panel td {\n\tpadding: 4px;\n}\n\n.tc-control-panel table, .tc-control-panel table input, .tc-control-panel table textarea {\n\twidth: 100%;\n}\n\n.tc-plugin-info {\n\tdisplay: flex;\n\tborder: 1px solid <<colour muted-foreground>>;\n\tfill: <<colour muted-foreground>>;\n\tbackground-color: <<colour background>>;\n\tmargin: 0.5em 0 0.5em 0;\n\tpadding: 4px;\n    align-items: center;\n}\n\n.tc-plugin-info-sub-plugins .tc-plugin-info {\n    margin: 0.5em;\n\tbackground: <<colour background>>;\n}\n\n.tc-plugin-info-sub-plugin-indicator {\n\tmargin: -16px 1em 0 2em;\n}\n\n.tc-plugin-info-sub-plugin-indicator button {\n\tcolor: <<colour background>>;\n\tbackground: <<colour foreground>>;\n\tborder-radius: 8px;\n    padding: 2px 7px;\n    font-size: 0.75em;\n}\n\n.tc-plugin-info-sub-plugins .tc-plugin-info-dropdown {\n\tmargin-left: 1em;\n\tmargin-right: 1em;\n}\n\n.tc-plugin-info-disabled {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n\tbackground: repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n}\n\n.tc-plugin-info-disabled:hover {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n\tbackground: repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n}\n\na.tc-tiddlylink.tc-plugin-info:hover {\n\ttext-decoration: none;\n\tbackground-color: <<colour primary>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour foreground>>;\n}\n\na.tc-tiddlylink.tc-plugin-info:hover > .tc-plugin-info-chunk > svg {\n\tfill: <<colour background>>;\n}\n\n.tc-plugin-info-chunk {\n    margin: 2px;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-toggle {\n\tflex-grow: 0;\n\tflex-shrink: 0;\n\tline-height: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-icon {\n\tflex-grow: 0;\n\tflex-shrink: 0;\n\tline-height: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description {\n\tflex-grow: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-buttons {\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tflex-grow: 0;\n\tflex-shrink: 0;\n    text-align: right;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description h1 {\n\tfont-size: 1em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description h2 {\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description div {\n\tfont-size: 0.7em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-toggle img, .tc-plugin-info-chunk.tc-plugin-info-toggle svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-icon img, .tc-plugin-info-chunk.tc-plugin-info-icon svg {\n\twidth: 2em;\n\theight: 2em;\n}\n\n.tc-plugin-info-dropdown {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour background>>;\n\tmargin-top: -8px;\n}\n\n.tc-plugin-info-dropdown-message {\n\tbackground: <<colour message-background>>;\n\tpadding: 0.5em 1em 0.5em 1em;\n\tfont-weight: bold;\n\tfont-size: 0.8em;\n}\n\n.tc-plugin-info-dropdown-body {\n\tpadding: 1em 1em 0 1em;\n\tbackground: <<colour background>>;\n}\n\n.tc-plugin-info-sub-plugins {\n\tpadding: 0.5em;\n    margin: 0 1em 1em 1em;\n\tbackground: <<colour notification-background>>;\n}\n\n.tc-install-plugin {\n\tfont-weight: bold;\n\tbackground: green;\n\tcolor: white;\n\tfill: white;\n\tborder-radius: 4px;\n\tpadding: 3px;\n}\n\n.tc-install-plugin.tc-reinstall-downgrade {\n\tbackground: red;\n}\n\n.tc-install-plugin.tc-reinstall {\n\tbackground: blue;\n}\n\n.tc-install-plugin.tc-reinstall-upgrade {\n\tbackground: orange;\n}\n\n.tc-check-list {\n\tline-height: 2em;\n}\n\n.tc-check-list .tc-image-button {\n\theight: 1.5em;\n}\n\n/*\n** Message boxes\n*/\n\n.tc-message-box {\n\tborder: 1px solid <<colour message-border>>;\n\tbackground: <<colour message-background>>;\n\tpadding: 0px 21px 0px 21px;\n\tfont-size: 12px;\n\tline-height: 18px;\n\tcolor: <<colour message-foreground>>;\n}\n\n.tc-message-box svg {\n\twidth: 1em;\n\theight: 1em;\n    vertical-align: text-bottom;\n}\n\n/*\n** Pictures\n*/\n\n.tc-bordered-image {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tpadding: 5px;\n\tmargin: 5px;\n}\n\n/*\n** Floats\n*/\n\n.tc-float-right {\n\tfloat: right;\n}\n\n/*\n** Chooser\n*/\n\n.tc-chooser {\n\tborder-right: 1px solid <<colour table-header-background>>;\n\tborder-left: 1px solid <<colour table-header-background>>;\n}\n\n\n.tc-chooser-item {\n\tborder-bottom: 1px solid <<colour table-header-background>>;\n\tborder-top: 1px solid <<colour table-header-background>>;\n\tpadding: 2px 4px 2px 14px;\n}\n\n.tc-drop-down .tc-chooser-item {\n\tpadding: 2px;\n}\n\n.tc-chosen,\n.tc-chooser-item:hover {\n\tbackground-color: <<colour table-header-background>>;\n\tborder-color: <<colour table-footer-background>>;\n}\n\n.tc-chosen .tc-tiddlylink {\n\tcursor:default;\n}\n\n.tc-chooser-item .tc-tiddlylink {\n\tdisplay: block;\n\ttext-decoration: none;\n\tbackground-color: transparent;\n}\n\n.tc-chooser-item:hover .tc-tiddlylink:hover {\n\ttext-decoration: none;\n}\n\n.tc-drop-down .tc-chosen .tc-tiddlylink,\n.tc-drop-down .tc-chooser-item .tc-tiddlylink:hover {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-chosen > .tc-tiddlylink:before {\n\tmargin-left: -10px;\n\tposition: relative;\n\tcontent: \"» \";\n}\n\n.tc-chooser-item svg,\n.tc-chooser-item img{\n\twidth: 1em;\n\theight: 1em;\n\tvertical-align: middle;\n}\n\n.tc-language-chooser .tc-image-button img {\n\twidth: 2em;\n\tvertical-align: -0.15em;\n}\n\n/*\n** Palette swatches\n*/\n\n.tc-swatches-horiz {\n}\n\n.tc-swatches-horiz .tc-swatch {\n\tdisplay: inline-block;\n}\n\n.tc-swatch {\n\twidth: 2em;\n\theight: 2em;\n\tmargin: 0.4em;\n\tborder: 1px solid #888;\n}\n\ninput.tc-palette-manager-colour-input {\n\twidth: 100%;\n\tpadding: 0;\n}\n\n/*\n** Table of contents\n*/\n\n.tc-sidebar-lists .tc-table-of-contents {\n\twhite-space: nowrap;\n}\n\n.tc-table-of-contents button {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents svg {\n\twidth: 0.7em;\n\theight: 0.7em;\n\tvertical-align: middle;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents ol {\n\tlist-style-type: none;\n\tpadding-left: 0;\n}\n\n.tc-table-of-contents ol ol {\n\tpadding-left: 1em;\n}\n\n.tc-table-of-contents li {\n\tfont-size: 1.0em;\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li a {\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li li {\n\tfont-size: 0.95em;\n\tfont-weight: normal;\n\tline-height: 1.4;\n}\n\n.tc-table-of-contents li li a {\n\tfont-weight: normal;\n}\n\n.tc-table-of-contents li li li {\n\tfont-size: 0.95em;\n\tfont-weight: 200;\n\tline-height: 1.5;\n}\n\n.tc-table-of-contents li li li li {\n\tfont-size: 0.95em;\n\tfont-weight: 200;\n}\n\n.tc-tabbed-table-of-contents {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents {\n\tz-index: 100;\n\tdisplay: inline-block;\n\tpadding-left: 1em;\n\tmax-width: 50%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n\tbackground: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a,\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tdisplay: block;\n\tpadding: 0.12em 1em 0.12em 0.25em;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a {\n\tborder-top: 1px solid <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-background>>;\n\tborder-bottom: 1px solid <<colour tab-background>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a:hover {\n\ttext-decoration: none;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour background>>;\n\tmargin-right: -1px;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a:hover {\n\ttext-decoration: none;\n}\n\n.tc-tabbed-table-of-contents .tc-tabbed-table-of-contents-content {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-left: 1.5em;\n\tpadding-right: 1.5em;\n\tborder: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 50%;\n\tflex: 1 0 50%;\n}\n\n/*\n** Dirty indicator\n*/\n\nbody.tc-dirty span.tc-dirty-indicator, body.tc-dirty span.tc-dirty-indicator svg {\n\tfill: <<colour dirty-indicator>>;\n\tcolor: <<colour dirty-indicator>>;\n}\n\n/*\n** File inputs\n*/\n\n.tc-file-input-wrapper {\n\tposition: relative;\n\toverflow: hidden;\n\tdisplay: inline-block;\n\tvertical-align: middle;\n}\n\n.tc-file-input-wrapper input[type=file] {\n\tposition: absolute;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbottom: 0;\n\tfont-size: 999px;\n\tmax-width: 100%;\n\tmax-height: 100%;\n\tfilter: alpha(opacity=0);\n\topacity: 0;\n\toutline: none;\n\tbackground: white;\n\tcursor: pointer;\n\tdisplay: inline-block;\n}\n\n::-webkit-file-upload-button {\n\tcursor:pointer;\n}\n\n/*\n** Thumbnail macros\n*/\n\n.tc-thumbnail-wrapper {\n\tposition: relative;\n\tdisplay: inline-block;\n\tmargin: 6px;\n\tvertical-align: top;\n}\n\n.tc-thumbnail-right-wrapper {\n\tfloat:right;\n\tmargin: 0.5em 0 0.5em 0.5em;\n}\n\n.tc-thumbnail-image {\n\ttext-align: center;\n\toverflow: hidden;\n\tborder-radius: 3px;\n}\n\n.tc-thumbnail-image svg,\n.tc-thumbnail-image img {\n\tfilter: alpha(opacity=1);\n\topacity: 1;\n\tmin-width: 100%;\n\tmin-height: 100%;\n\tmax-width: 100%;\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-image svg,\n.tc-thumbnail-wrapper:hover .tc-thumbnail-image img {\n\tfilter: alpha(opacity=0.8);\n\topacity: 0.8;\n}\n\n.tc-thumbnail-background {\n\tposition: absolute;\n\tborder-radius: 3px;\n}\n\n.tc-thumbnail-icon svg,\n.tc-thumbnail-icon img {\n\twidth: 3em;\n\theight: 3em;\n\t<<filter \"drop-shadow(2px 2px 4px rgba(0,0,0,0.3))\">>\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-icon svg,\n.tc-thumbnail-wrapper:hover .tc-thumbnail-icon img {\n\tfill: #fff;\n\t<<filter \"drop-shadow(3px 3px 4px rgba(0,0,0,0.6))\">>\n}\n\n.tc-thumbnail-icon {\n\tposition: absolute;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbottom: 0;\n\tdisplay: -webkit-flex;\n\t-webkit-align-items: center;\n\t-webkit-justify-content: center;\n\tdisplay: flex;\n\talign-items: center;\n\tjustify-content: center;\n}\n\n.tc-thumbnail-caption {\n\tposition: absolute;\n\tbackground-color: #777;\n\tcolor: #fff;\n\ttext-align: center;\n\tbottom: 0;\n\twidth: 100%;\n\tfilter: alpha(opacity=0.9);\n\topacity: 0.9;\n\tline-height: 1.4;\n\tborder-bottom-left-radius: 3px;\n\tborder-bottom-right-radius: 3px;\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-caption {\n\tfilter: alpha(opacity=1);\n\topacity: 1;\n}\n\n/*\n** Diffs\n*/\n\n.tc-diff-equal {\n\tbackground-color: <<colour diff-equal-background>>;\n\tcolor: <<colour diff-equal-foreground>>;\n}\n\n.tc-diff-insert {\n\tbackground-color: <<colour diff-insert-background>>;\n\tcolor: <<colour diff-insert-foreground>>;\n}\n\n.tc-diff-delete {\n\tbackground-color: <<colour diff-delete-background>>;\n\tcolor: <<colour diff-delete-foreground>>;\n}\n\n.tc-diff-invisible {\n\tbackground-color: <<colour diff-invisible-background>>;\n\tcolor: <<colour diff-invisible-foreground>>;\n}\n\n.tc-diff-tiddlers th {\n\ttext-align: right;\n\tbackground: <<colour background>>;\n\tfont-weight: normal;\n\tfont-style: italic;\n}\n\n.tc-diff-tiddlers pre {\n    margin: 0;\n    padding: 0;\n    border: none;\n    background: none;\n}\n\n/*\n** Errors\n*/\n\n.tc-error {\n\tbackground: #f00;\n\tcolor: #fff;\n}\n\n/*\n** Tree macro\n*/\n\n.tc-tree div {\n    \tpadding-left: 14px;\n}\n\n.tc-tree ol {\n    \tlist-style-type: none;\n    \tpadding-left: 0;\n    \tmargin-top: 0;\n}\n\n.tc-tree ol ol {\n    \tpadding-left: 1em;    \n}\n\n.tc-tree button { \n    \tcolor: #acacac;\n}\n\n.tc-tree svg {\n     \tfill: #acacac;\n}\n\n.tc-tree span svg {\n    \twidth: 1em;\n    \theight: 1em;\n    \tvertical-align: baseline;\n}\n\n.tc-tree li span {\n    \tcolor: lightgray;\n}\n\nselect {\n        color: <<colour select-tag-foreground>>;\n        background: <<colour select-tag-background>>;\n}\n\n/*\n** Utility classes for SVG icons\n*/\n\n.tc-fill-background {\n\tfill: <<colour background>>;\n}\n\n/*\n** Flexbox utility classes\n*/\n\n.tc-flex {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-flex-column {\n\tflex-direction: column;\n}\n\n.tc-flex-row {\n\tflex-direction: row;\n}\n\n.tc-flex-grow-1 {\n\tflex-grow: 1;\n}\n\n.tc-flex-grow-2 {\n\tflex-grow: 2;\n}\n\n/*\n** Other utility classes\n*/\n\n.tc-small-gap {\n\tmargin-left: .5em;\n\tmargin-right: .5em;\n}\n\n.tc-small-gap-left {\n\tmargin-left: .5em;\n}\n\n.tc-small-gap-right {\n\tmargin-right: .5em;\n}\n\n.tc-big-gap {\n\tmargin-left: 1em;\n\tmargin-right: 1em;\n}\n\n.tc-big-gap-left {\n\tmargin-left: 1em;\n}\n\n.tc-big-gap-right {\n\tmargin-right: 1em;\n}\n\n.tc-word-break {\n\tword-break: break-all;\n}\n"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize",
            "text": "15px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/bodylineheight": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/bodylineheight",
            "text": "22px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/fontsize": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/fontsize",
            "text": "14px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/lineheight": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/lineheight",
            "text": "20px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/storyleft": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/storyleft",
            "text": "0px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/storytop": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/storytop",
            "text": "0px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/storyright": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/storyright",
            "text": "770px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/storywidth": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/storywidth",
            "text": "770px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth",
            "text": "686px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint",
            "text": "960px"
        },
        "$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth": {
            "title": "$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth",
            "text": "350px"
        },
        "$:/themes/tiddlywiki/vanilla/options/stickytitles": {
            "title": "$:/themes/tiddlywiki/vanilla/options/stickytitles",
            "text": "no"
        },
        "$:/themes/tiddlywiki/vanilla/options/sidebarlayout": {
            "title": "$:/themes/tiddlywiki/vanilla/options/sidebarlayout",
            "text": "fixed-fluid"
        },
        "$:/themes/tiddlywiki/vanilla/options/codewrapping": {
            "title": "$:/themes/tiddlywiki/vanilla/options/codewrapping",
            "text": "pre-wrap"
        },
        "$:/themes/tiddlywiki/vanilla/reset": {
            "title": "$:/themes/tiddlywiki/vanilla/reset",
            "type": "text/plain",
            "text": "/*! modern-normalize v1.0.0 | MIT License | https://github.com/sindresorhus/modern-normalize */\n\n/*\nDocument\n========\n*/\n\n/**\nUse a better box model (opinionated).\n*/\n\n*,\n*::before,\n*::after {\n  box-sizing: border-box;\n}\n\n/**\nUse a more readable tab size (opinionated).\n*/\n\n:root {\n  -moz-tab-size: 4;\n  tab-size: 4;\n}\n\n/**\n1. Correct the line height in all browsers.\n2. Prevent adjustments of font size after orientation changes in iOS.\n*/\n\nhtml {\n  line-height: 1.15; /* 1 */\n  -webkit-text-size-adjust: 100%; /* 2 */\n}\n\n/*\nSections\n========\n*/\n\n/**\nRemove the margin in all browsers.\n*/\n\nbody {\n  margin: 0;\n}\n\n/**\nImprove consistency of default fonts in all browsers. (https://github.com/sindresorhus/modern-normalize/issues/3)\n*/\n\nbody {\n  font-family:\n    system-ui,\n    -apple-system, /* Firefox supports this but not yet `system-ui` */\n    'Segoe UI',\n    Roboto,\n    Helvetica,\n    Arial,\n    sans-serif,\n    'Apple Color Emoji',\n    'Segoe UI Emoji';\n}\n\n/*\nGrouping content\n================\n*/\n\n/**\n1. Add the correct height in Firefox.\n2. Correct the inheritance of border color in Firefox. (https://bugzilla.mozilla.org/show_bug.cgi?id=190655)\n*/\n\nhr {\n  height: 0; /* 1 */\n  color: inherit; /* 2 */\n}\n\n/*\nText-level semantics\n====================\n*/\n\n/**\nAdd the correct text decoration in Chrome, Edge, and Safari.\n*/\n\nabbr[title] {\n  text-decoration: underline dotted;\n}\n\n/**\nAdd the correct font weight in Edge and Safari.\n*/\n\nb,\nstrong {\n  font-weight: bolder;\n}\n\n/**\n1. Improve consistency of default fonts in all browsers. (https://github.com/sindresorhus/modern-normalize/issues/3)\n2. Correct the odd 'em' font sizing in all browsers.\n*/\n\ncode,\nkbd,\nsamp,\npre {\n  font-family:\n    ui-monospace,\n    SFMono-Regular,\n    Consolas,\n    'Liberation Mono',\n    Menlo,\n    monospace; /* 1 */\n  font-size: 1em; /* 2 */\n}\n\n/**\nAdd the correct font size in all browsers.\n*/\n\nsmall {\n  font-size: 80%;\n}\n\n/**\nPrevent 'sub' and 'sup' elements from affecting the line height in all browsers.\n*/\n\nsub,\nsup {\n  font-size: 75%;\n  line-height: 0;\n  position: relative;\n  vertical-align: baseline;\n}\n\nsub {\n  bottom: -0.25em;\n}\n\nsup {\n  top: -0.5em;\n}\n\n/*\nTabular data\n============\n*/\n\n/**\n1. Remove text indentation from table contents in Chrome and Safari. (https://bugs.chromium.org/p/chromium/issues/detail?id=999088, https://bugs.webkit.org/show_bug.cgi?id=201297)\n2. Correct table border color inheritance in all Chrome and Safari. (https://bugs.chromium.org/p/chromium/issues/detail?id=935729, https://bugs.webkit.org/show_bug.cgi?id=195016)\n*/\n\ntable {\n  text-indent: 0; /* 1 */\n  border-color: inherit; /* 2 */\n}\n\n/*\nForms\n=====\n*/\n\n/**\n1. Change the font styles in all browsers.\n2. Remove the margin in Firefox and Safari.\n*/\n\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n  font-family: inherit; /* 1 */\n  font-size: 100%; /* 1 */\n  line-height: 1.15; /* 1 */\n  margin: 0; /* 2 */\n}\n\n/**\nRemove the inheritance of text transform in Edge and Firefox.\n1. Remove the inheritance of text transform in Firefox.\n*/\n\nbutton,\nselect { /* 1 */\n  text-transform: none;\n}\n\n/**\nCorrect the inability to style clickable types in iOS and Safari.\n*/\n\nbutton,\n[type='button'],\n[type='reset'],\n[type='submit'] {\n  -webkit-appearance: button;\n}\n\n/**\nRemove the inner border and padding in Firefox.\n*/\n\n::-moz-focus-inner {\n  border-style: none;\n  padding: 0;\n}\n\n/**\nRestore the focus styles unset by the previous rule.\n*/\n\n:-moz-focusring {\n  outline: 1px dotted ButtonText;\n}\n\n/**\nRemove the additional ':invalid' styles in Firefox.\nSee: https://github.com/mozilla/gecko-dev/blob/2f9eacd9d3d995c937b4251a5557d95d494c9be1/layout/style/res/forms.css#L728-L737\n*/\n\n:-moz-ui-invalid {\n  box-shadow: none;\n}\n\n/**\nRemove the padding so developers are not caught out when they zero out 'fieldset' elements in all browsers.\n*/\n\nlegend {\n  padding: 0;\n}\n\n/**\nAdd the correct vertical alignment in Chrome and Firefox.\n*/\n\nprogress {\n  vertical-align: baseline;\n}\n\n/**\nCorrect the cursor style of increment and decrement buttons in Safari.\n*/\n\n::-webkit-inner-spin-button,\n::-webkit-outer-spin-button {\n  height: auto;\n}\n\n/**\n1. Correct the odd appearance in Chrome and Safari.\n2. Correct the outline style in Safari.\n*/\n\n[type='search'] {\n  -webkit-appearance: textfield; /* 1 */\n  outline-offset: -2px; /* 2 */\n}\n\n/**\nRemove the inner padding in Chrome and Safari on macOS.\n*/\n\n::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\n\n/**\n1. Correct the inability to style clickable types in iOS and Safari.\n2. Change font properties to 'inherit' in Safari.\n*/\n\n::-webkit-file-upload-button {\n  -webkit-appearance: button; /* 1 */\n  font: inherit; /* 2 */\n}\n\n/*\nInteractive\n===========\n*/\n\n/*\nAdd the correct display in Chrome and Safari.\n*/\n\nsummary {\n  display: list-item;\n}\n"
        },
        "$:/themes/tiddlywiki/vanilla/settings/fontfamily": {
            "title": "$:/themes/tiddlywiki/vanilla/settings/fontfamily",
            "text": "system-ui, -apple-system, \"Segoe UI\", Roboto, Helvetica, Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\""
        },
        "$:/themes/tiddlywiki/vanilla/settings/codefontfamily": {
            "title": "$:/themes/tiddlywiki/vanilla/settings/codefontfamily",
            "text": "\"SFMono-Regular\",Consolas,\"Liberation Mono\",Menlo,Courier,monospace"
        },
        "$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment": {
            "title": "$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment",
            "text": "fixed"
        },
        "$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize": {
            "title": "$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize",
            "text": "auto"
        },
        "$:/themes/tiddlywiki/vanilla/sticky": {
            "title": "$:/themes/tiddlywiki/vanilla/sticky",
            "text": "<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\" type=\"match\" text=\"yes\">\n``\n.tc-tiddler-title {\n\tposition: -webkit-sticky;\n\tposition: -moz-sticky;\n\tposition: -o-sticky;\n\tposition: -ms-sticky;\n\tposition: sticky;\n\ttop: 0px;\n\tbackground: ``<<colour tiddler-background>>``;\n\tz-index: 500;\n}\n\n``\n<$list filter=\"[range[100]]\">\n`.tc-story-river .tc-tiddler-frame:nth-child(100n+`<$text text=<<currentTiddler>>/>`) {\nz-index: `<$text text={{{ [[200]subtract<currentTiddler>] }}}/>`;\n}\n`\n</$list>\n</$reveal>\n"
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}
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Мысли, после прочтения заметки [[Интересный недостаток в теории когнитивных нагрузок]], которое является кратким эссе исследования [[Расширение теории когнитивной нагрузки для включения истощения ресурсов рабочей памяти: свидетельства эффекта интервалов]].

1. …Но не это самое интересное. Они также отметили *более низкую производительность при выполнении задач на рабочую память для "массовой" группы*. Раньше объяснения эффекта интервальной практики основывались на таких идеях, как то, что процесс попытки извлечь что-то, о чем начинают забываться, увеличивает силу извлечения. Это исследование предлагает другой, возможно, дополнительный механизм: *[интервальная практика позволяет избежать когнитивного истощения]*.
::Todo надо изучать работу ДП с этой точки зрения::

2. Авторы также отмечают намеки в предыдущих экспериментах на то, что **[истощение может быть в значительной степени специфичным для домена]**. Если так, это будет иметь последствия для учителей, потому что мы могли бы избежать истощения, переключая типы задач. ::TODO развить идеи  этих намёков:: что является причиной истощения? Уровень глюкозы? Почему переключение снижает истощение? Это какой-то защитный механизм долгосрочной памяти - быстро не запоминать?

Эта гипотеза связана с предыдущим тезисом. Если это так, то мы можем включить в учебный процесс квази-переключение доменов, но рассматривая одну и ту же тему под разным углом. Это может снизить эффект, когда [[истощение может быть в значительной степени специфичным для домена]



3. TODO Была идея перехода информации из категории первичный навык во вторичный. И типа поэтому мы учимся лучше. Надо исследовать эту тему  
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
https://www.gamasutra.com/blogs/MattiaPodini/20210415/379705/7_Nudges__Manipulative_Techniques_present_in_Undertale.php
Действия пользователя в авторской среде могут иметь якобы свои собственные цели, но собственные мотивы авторов будут влиять на эти цели и окрашивать их. Когда цели авторов и участников совпадают, авторы могут создавать мощную среду; когда они не выровнены - среды не будут согласованы.

В научно-популярной литературе, например, могут быть некоторые примеры, призванные мотивировать тему и вызвать у читателей интерес к ее значению. Если автор книги пишет, потому что он переполнен энтузиазмом по поводу предмета и чувствует себя обязанным поделиться им, это улучшит прозу примеров. Напротив, бескорыстный автор учебника, писавший из-за обязательства, подорвет цель прозы, призванную передать энтузиазм.

Haskell утверждает, что он является готовым к работе языком программирования корпоративного уровня, как и Python. Он не упускает никаких очевидных функций для программирования «в реальном мире». Но разработчиков языка в первую очередь мотивируют его теоретические свойства, и эта цель тонко просматривается во всех швах. Несмотря на попытки обратного, Haskell - это прежде всего [[Благоприятная (стимулирующая) среда]], позволяющая исследователям более эффективно думать об этой ветви теории языков программирования; это не особенно эффективная среда, позволяющая людям создавать программное обеспечение. Smalltalk - похожая история.

Spore позиционирует себя как экшн / приключенческая игра, в которой вы можете создавать свои собственные формы жизни, а затем покорять галактику. Но насколько я могу судить, его создатели в первую очередь руководствовались механизмами моделирования и процедурной генерации. Эти элементы игры конкретизированы и увлекательны, но «основной» игровой процесс кажется второстепенным.

Майкл Нильсен указывает, что в программе Apollo цель "добраться до космоса" была превыше всего (см. также [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]]). Это также была авторская среда: ее менеджеры разработали процессы и атмосферу, чтобы осуществить это стремление. Несомненно, была и бюрократия: была ли она уменьшена за счет выхода в космос?
Я не уверен, насколько это правда, но, судя по анекдотам, авторы, которых я знаю, которые опубликовали как печатные версии, так и версии EPUB, зарабатывают гораздо больше на продаже первых. Предположительно, это проблема объема, а не структуры роялти или чего-то в этом роде: [[Популярность электронного чтения резко уступает всем книгам]].
Этот термин описывает агентов, которые пассивно извлекают и отображают полезную информацию в зависимости от действий пользователя.

Например, Remembrance Agent - это расширение Emacs, которое просматривает содержимое текущего документа (рядом с курсором?) И находит похожие документы, сообщения электронной почты и т. Д.

Margin Notes - это агент, который добавляет на веб-страницы ссылки на личные файлы, которые могут иметь отношение к делу.

Связанный: [[Периферийное зрение]]

!!!References

Rhodes, B. J., & Maes, P. (2000). Just-in-time information retrieval agents. IBM Systems Journal, 39(3.4), 685–704. https://doi.org/10.1147/sj.393.0685
В частности, в области TODO[Взаимодействие человека с компьютером] и TODO[Образовательные технологии] академическая работа часто включает создание программных систем, которые воплощают идеи исследователей. Это может хорошо работать для вычислительных идей, но когда идеи касаются интерфейсов, эти системы обычно выполняются со слишком низкой точностью, чтобы глубоко понять их широкое влияние в аутентичных средах (напротив, [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]]).

Я подозреваю, что этому есть две причины:

# Создание хорошо продуманных программных систем требует обширных навыков и неявных знаний, которые, как правило, приобретаются за годы работы в отрасли.

# Эти системы обычно разрабатываются аспирантом в рамках исследовательского проекта. Часто каждый ученик строит свою собственную систему, чтобы не накапливать; или каждый студент строит какую-то систему, которую лаборатория развивала, но почти не поддерживала в течение последнего десятилетия, которая имеет столько технических и конструкторских долгов, что делает качество невозможным.
Выступая публично, как исследователи, так и предприниматели стремятся представить самую радужную картину своей работы. Это часто приводит к пагубным чрезмерным притязаниям ( устранение порочности внутри ) и менее личным, более деловым отношениям с другими. Интересным противоядием является активная практика «анти-маркетинга»: публично сосредотачиваться на наименее радужных частях своих проектов - на том, что сбивает с толку, что расстраивает, что не работает.

Если вы ставите своей целью анти-маркетинг, тогда интересные проблемы становятся положительным моментом: пища для публичного обсуждения, а не то, что нужно скрывать. По крайней мере, большую часть времени вы должны быть сосредоточены на самых серьезных проблемах вашего проекта, а не на том, что идет хорошо. Я подозреваю, что это также создает более глубокие и подлинные отношения с аудиторией (см. [[Работать с "поднятыми воротами гаража"]]

Этот термин был введен (насколько мне известно!) Майклом Нильсеном в ноябре 2019 года.

Q. Каким образом Майкл сосредоточивает публичное обсуждение на наименее радужных элементах своих проектов?
А. Антимаркетинг.
Аудиокниги создаются в удивительно разнообразном организационном контексте.

* ''Издатели'' выпускают аудиокниги для рынка наряду с печатными выпусками книг, которые они публикуют.
* ''Дистрибьюторы'', такие как Audible, организуют выпуск аудиокниг уже изданных печатных книг.
** Они также заказывают оригинальные аудиокниги.
* ''Авторы'' заказывают или самостоятельно создают аудиокниги.
* ''Фрилансеры'' выпускают аудиокниги в ответ на комиссионные или вознаграждения на таких рынках, как ACX.
* ''Добровольцы'' коллективно выпускают аудиокниги с открытой лицензией.
Обратные ссылки

* [[Трехэтапная модель развития талантов Блума]]

** Бенджамин С. Блум (1985) характеризует три важных этапа в развитии юношеских талантов:

# Учащегося знакомят с занятием в приятном, часто игровом контексте. Они могут продемонстрировать «обещание», побуждая родителей дать четкие инструкции.
# Студент начинает целенаправленную программу совершенствования, участвуя в обучении и практике.
# Студент обязуется изучать этот вид деятельности на дневном отделении, часто для этого посещая специальную академию. На этом этапе студент зарабатывает себе на жизнь профессионально.

[[Таксономия Блума]]

* Классическая таксономия учебных задач Бенджамина С. Блума . В современном виде:
Согласие прочитать лекцию по какой-либо теме часто является отличным способом подтолкнуть себя к тому, чтобы узнать и извлечь из нее как можно больше.

Это инструмент приверженности, позволяющий установить реальную временную шкалу в иначе туманном процессе. Это также способ создания более сильной эмоциональной связи с материалом, что, в свою очередь, может помочь вам понять его более глубоко: [[Глубокое понимание требует (и является результатом) интенсивной личной связи]].

Эта стратегия кажется наиболее полезной, когда вы что-то понимаете лишь умеренно хорошо. Если вы еще этого не понимаете, давление может просто подтолкнуть вас к кристаллизации поверхностного мышления; если вы поймете это очень хорошо, у вас меньше шансов получить эмоциональную связь с классом по этой теме.

По теме: [[Лучшее время для написания темы вашей лекции - это примерно то время, когда вы ее читаете]].
Благоприятная среда значительно расширяет возможности участников делать то, что они считают значимым и важным.

Школы якобы стремятся к этой цели, но [[Цели обучения часто подрывают себя]] в значительной степени потому, что [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]]. В целом, [[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]].

Многие другие социальные институты представляют собой мощную благоприятную среду. Высокофункциональные корпорации часто являются прекрасным примером благоприятной среды. В этих организациях новые сотрудники могут чувствовать себя гораздо более личными, чем когда-либо прежде, даже после многолетнего опыта. Точно так же [[Y Combinator]] - это благоприятная среда.

Отличные программные среды - это благоприятные среды. Photoshop расширяет диапазон художественного самовыражения экспертов и открывает для новичков ранее использованные методы улучшения фотографий. Инструменты разработки программного обеспечения позволяют подросткам создавать игры и распространять их среди миллионов людей с нулевыми предельными затратами. Напротив, [[Большинство игр не являются благоприятной средой]], а [[Обучающие игры - это обреченный подход к созданию благоприятной среды]].

Книги и видео редко доставляют сюда: [[Средства массовой информации, как правило, плохо помогают людям воплощать идеи в жизнь]].

Коллекция тесно связанных [[Вечнозеленые заметки]] может быть благоприятной средой для автора: [[Написание вечнозеленых заметок помогает накапливать понимание]]. (см. также [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]])

!!!Создание благоприятных условий

Благоприятные среды обычно создаются авторами, но [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]]. [[Авторская среда значительно окрашена мотивами авторов]]; это часто означает, что [[Мощные благоприятные среды сосредоточены на использовании экспертами]].

[[Проектирование новых благоприятных условий можно представить как проектирование университета ++]]

!!!Проблемы создания благоприятной среды:

[[Благоприятная среда сосредоточена на том, что включено]]
Некоторые механизмы для проектирования этих сред

* дизайн-представления, которые расширяют диапазон действий для существующего опыта / усилий участника; например:
** Инструмент изменения размера Photoshop с учетом содержимого
** контрольные списки в самолетах / больницах

* дизайнерские представления, расширяющие верхние границы возможностей участников; например:
** арабские цифры
** нелинейное редактирование видео

* дизайнерские представления, которые включают в себя выразительный диапазон существующих представлений, но с меньшими / другими требованиями к усилиям / знаниям; например:
** Инструмент Безье векторной сети Figma против инструмента пера Photoshop
** автоматический подсчет удержаний в Rust и Objective-C по сравнению с ручным подсчетом удержаний

* дизайнерские представления, которые включают в себя выразительный диапазон существующих представлений, но с более плавными усилиями / опытом на пандусах; например:
** SICP
** 3D-редактор Minecraft против ранее существовавших редакторов вокселей
** (многие существующие среды здесь, такие как SICP и большинство исполняемых записных книжек, слабо взаимодействуют с тем местом, где происходит разрешенное действие, что значительно ограничивает их возможности)
** (вот возможность для динамических [[Когнитивный каркас]],  [[Реализованный опыт усиливает силу повествования]] и некоторые другие элементы дизайна для начинающих)
Отличная исследовательская лаборатория не зацикливается на том, чтобы прививать своим аспирантам массу конкретных знаний и навыков. Она создает большие возможности для личностного роста и подсвечивает  мосты (маяки) к возможностям для действий, основанных на этом росте. Как правило, это верно в отношении эффективной [[Благоприятная (стимулирующая) среда]].

Критически важно, что такая среда не о стимулировании роста ради роста . Основатели [[Y Combinator]] в первую очередь пытаются создать успешную компанию, а не достичь личного роста ([[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]]). И поскольку окружающая среда способствует личностному росту, она обычно делает упор на конечную цель во всём (in all things) (например, на обеспечение успеха этого стартапа), вместо того, чтобы фокусироваться на «практике».

Эта эвристика дает нам новый способ просмотра существующих медиа. Например, книги редко фокусируются на создании возможностей для личностного роста или действий: они обычно посвящены передаче знаний в абстрактном контексте. Это приводит нас к убедительной подсказке:
Что значило бы разрабатывать «книги», которые в первую очередь посвящены созданию возможностей роста для людей и мостам к возможностям действий, основанных на этом росте?
В хорошей  [[Благоприятная (стимулирующая) среда]] , такой как сильная корпорация или Minecraft, деятельность в основном включает в себя *выполнение* того, что позволяют эти среды.

Напротив, большинство книг (даже исполняемых книг) не предполагают *выполнения* того, о чем они говорят. Действия этих сред связаны с тем, о чем они говорят - чтением о баскетболе, а не игрой в баскетбол. Они находятся в стороне от действия, и это делает их менее способными задействовать своих участников.

Это естественный побочный продукт наблюдений более высокого уровня, описанных в разделе [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]] и [[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]] .

Акцент на действиях сохраняет честность авторов среды. Это заставляет их сосредоточиться на элементах, которые дают возможность действовать. Это держит деятельность сосредоточенной вокруг внутренне значимых целей ([[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]], а не более абстрактных целей.

Действия, *выполняющие* то, что включено, как правило, создают больше личной связи, чем действия *о* том, что включено. Эта связь важна:  [[Глубокое понимание требует (и является результатом) интенсивной личной связи]].

Благоприятная социальная среда может расширить охват участников, помогая им развивать идеи друг друга. Этот эффект будет ограничен, если социальная активность будет *касаться* только того, что включено. Обеденная дискуссия с коллегой может быть довольно полезной, но если вы найдете его идеи поразительными, вы, вероятно, найдете сотрудничество с коллегой гораздо более благоприятным (с точки зрения среды).
Одна из проблем здесь заключается в том, что [[Новички в благоприятных средах часто не умеют делать то, что разрешено]].

На самом деле, это часть того, что *удерживает*новичков. 
Собственно, это часть того, что удерживает новичков в новичках. Как только новички могут участвовать в некоторой степени, тогда среда может интегрировать мощные динамические каркасы, чтобы включить их в дальнейшем (см. [[Метакогнитивная поддержка как как когнитивная опора]]). Например, тренер может предложить, какие упражнения лучше всего помогут спортсмену достичь своих целей в данный день ([[Метакогнитивная поддержка как как когнитивная опора]]). Однопользовательский опыт Minecraft развивает строительные навыки игроков, скрывая все более сложные материалы в местах, для достижения которых требуется прогрессирующее мастерство.
See e.g. Understanding by Design

Надо сделать заметку, как наберу материал

Это является частью [[Детальное кодирование]]
Интерактивные диаграммы и небольшие встроенные симуляции песочницы в исследуемых объяснениях могут помочь автору донести свою точку зрения, но они редко полезны в качестве независимой среды для размышлений читателя. Основная цель этих элементов - помочь читателю более эффективно понять суть того, что автор хочет донести до них.

Авторы часто на словах признаются в открытости исследования и решение проблем.. Один из распространенных приемов - дать читателю песочницу в конце статьи. Это редко приводит к чему-нибудь интересному. Это потому, что такие среды в первую очередь предназначены для того, чтобы помочь автору донести свою точку зрения, а не в качестве общеполезной среды, помогающей читателю (или автору) думать о проблемах в этой области. (См. Раздел [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]], а [[Авторская среда значительно окрашена мотивами авторов]]).

Я думаю, что это часть того, почему возможные объяснения и подобные средства массовой информации, похоже, не способствуют созданию благоприятной среды для читателей, хотя уже созданы десятки таких сред. Они поразительны, их часто интереснее читать, чем обычные статьи, а динамические элементы часто облегчают понимание автора, но "никто не уходит от статьи с динамической средой в кармане", так сказать.

«Апплеты» вроде [[PhET|https://phet.colorado.edu/en/simulations/filter?type=html&sort=alpha&view=grid]], казалось бы, решают эту проблему, но они попадают в более глубокую трещину: слишком мелкую для серьезного размышления; слишком сложно передать что-либо без повествования. (См. [[«Рассказанные исследования: три ментальные модели»|https://medium.com/khan-academy-early-product-development/narrated-explorables-three-mental-models-e16e0d80e4c1]] для получения дополнительной информации по этому последнему пункту).

!!!Конкретные примеры

Земля: A Primer  впечатляет во многих отношениях, но все же становится жертвой этой проблемы. Его геологические модели были разработаны таким образом, чтобы они были веселыми, интересными и полезными для общения. Они не были предназначены для размышлений о проблемах геологии. Так что с ними весело играть, но не более того.

Блокноты Mathematica и другие [[Исполняемые книги]] принимают другое направление. Эти среды предназначены в первую очередь для размышлений о сложных проблемах; общение - второстепенная задача. Это показывает!

[[Cantor]] - еще один контрпример. Эти числовые блоки были разработаны «сначала в песочнице», чтобы облегчить открытое исследование количества. Поэтому, когда они встраиваются в статью в виде интерактивных фигур, им требуются дополнительные функции, расположенные сверху (записанные взаимодействия, голос за кадром и т. д.), чтобы их можно было использовать для общения.

!!!References
Tweetstorm about this: https://twitter.com/andy_matuschak/status/1305264246331039744

Farrar, S., Khoe, M.-L., & Matuschak, A. (2017, August 31). Numbers at play: Dynamic toys make the invisible visible. Retrieved December 31, 2019, from https://early.khanacademy.org/cantor/

Gingold, C. (2015). Earth: A Primer. Retrieved from https://www.earthprimer.com

Matuschak, A. (2018, October 27). Narrated explorables: Three mental models. Retrieved December 31, 2019, from https://medium.com/khan-academy-early-product-development/narrated-explorables-three-mental-models-e16e0d80e4c1
[[Игры эффективно развивают навыки игроков]], поэтому заманчиво думать о хорошей игре как о [[Благоприятная (стимулирующая) среда]], но они редко «открывают или значительно расширяют возможности игроков делать то, что они считают значимыми и важными». Основная цель большинства игр - создать эстетический или эмоциональный опыт. Этот опыт может быть чрезвычайно мощным (вот почему [[Развитие навыков в играх подчинено другим внутренне значимым целям]]), но обычно он не расширяет возможности игрока делать вещи, которые они считают значимыми и важными. По теме: [[Обучающие игры - это обреченный подход к созданию благоприятной среды]].

!!!Контрпримеры

Minecraft - интересный контрпример: однопользовательский режим содержит обширный [[Когнитивный каркас]], который позже позволяет осуществлять бесконечные значимые действия в «творческом» режиме. Многие люди используют этот режим для серьезного творческого самовыражения. Если бы у всех этих людей был Blender или Maya, многие из них никогда бы ничего не сделали.

Структурированная социальная среда многопользовательских онлайн-игр может позволить людям общаться между собой и формировать сообщества. Многие игры могут сделать это даже для изолированных или интровертированных людей.
!!! Большинство людей делают только временные заметки
В отличие от [[Вечнозеленые заметки]] , [[Большинство людей используют заметки в качестве ведра для хранения или выписывания мыслей]] . Их очень удобно писать, но через год написания таких заметок у них будет просто куча разобщенных заметок. Заметки ничего не сложили: они больше похожи на топливо, написаны и отброшены, чтобы помочь автору обработать свой текущий опыт.

Временные заметки являются ценными скретчпадами для временной поддержки рабочей памяти, но [[Знания должны срастаться]] , поэтому мы должны рассматривать их как «беспорядочные» входные данные для заметок, которые они сообщат (Khoe).
Это одна из причин, по которой [[Практика написания заметок у людей, как правило, неэффективна]].

# Ссылки
Кхо, М.-Л. (2016, 21 декабря). Грязная мысль, аккуратная мысль. Получено 17 сентября 2019 года с сайта Khan Academy Early Product Development: https://klr.tumblr.com/post/154784481858/messy-thought-neat-thought
Люди не хотят забывать идею, беседу, задачу или цитату из книги, поэтому они записывают ее в Evernote или что-то в этом роде. Какая цель? Возможно: «Чтобы убедиться, что я не забыл». Может быть: «Просто записав это, я помню».

В этой концепции заметки - это способ [[Закрыть открытые петли]]] , а не накапливать понимание. «Настоящая» работа происходит за пределами заметок; заметки - это просто справочная система, в которой хранится информация, которая может помочь, или куча «беспорядочных» мыслей, которую можно записать один раз (Khoe, M.-L.). Это не [[Вечнозеленые заметки]] . Большинство «ориентированных на хранение» заметок больше никогда не будут полезны ([[Большинство людей делают только временные заметки]] ). Что еще более важно, в этой рамке упускает из виду, что написание заметок может *быть*«настоящей» работой ([[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]]).

!!!References
Khoe, M.-L.. (2016, 21 декабря). Грязная мысль, аккуратная мысль. Получено 17 сентября 2019 года с сайта Khan Academy Early Product Development:
https://klr.tumblr.com/post/154784481858/messy-thought-neat-thought
https://klr.tumblr.com/post/154784481858/messy-thought-neat-thought
* [[Знания должны срастаться]], но большей частью из прочитанного этого не происходит.
** [[Кажется, что люди забывают большую часть того, что читают, и в большинстве случаев не замечают]]
** [[Написание вечнозелёных заметок помогает накапливать усилия по чтению]], но большинство людей этого не делают.
*** Из тех, кто это делает,  [[Практика написания заметок у людей, как правило, неэффективна]] 
*** Однако! [[Самые эффективные читатели и мыслители, которых я знаю, не делают заметок при чтении]]
* [[Умелое чтение обычно нелинейно]], но большинство людей читают линейно. 
[[Обучение требует метапознания]]. Узнавая что-то новое из текста, читатели должны постоянно спрашивать себя: понял ли я это? какие вопросы я могу задать себе, чтобы проверить свое понимание? я должен перечитать этот отрывок? мне следует обратиться к справочной информации об этом? и т.п.

Другими словами, читатели должны запускать свои собственные циклы обратной связи. Когда читатели сосредоточены на сложном материале объектного уровня, они могут оказаться не в состоянии эффективно выполнять этот вид метапознания; И наоборот, слишком много усилий, затрачиваемых на оценку, планирование и исполнительный контроль, может затруднить взаимодействие со сложным материалом объектного уровня.

С видеоформатами ситуация, пожалуй, немного хуже. В книгах читатели полностью контролируют темп, но в видео есть темп по умолчанию, и зрители должны принять активное решение его изменить.

Моя теория относительно того, почему это правда: [[Метакогнитивная поддержка требует совместной динамической среды]].

!!!References
Matuschak, A. (2019). Why books don’t work. Retrieved from https://andymatuschak.org/books
Наставление. Когда я теряюсь в крошечных деталях, сосредотачиваюсь на выполнении, а не на размышлениях и вопросах общей картины, я пытаюсь напомнить себе, что мне нужно проявлять любопытство. Мой режим по умолчанию, так как я столько лет проработал технологом, - это сосредоточиться на задачах, на их выполнении, на выполнении. Это часто необходимо для осмысленной интеллектуальной творческой работы, но, безусловно, недостаточно. Слишком большая концентрация на делах вытеснит экспансивное мышление, которое генерирует новые идеи. [[Трудно услышать свои собственные мысли]].

Например, когда я писал о том, как сформулировать подсказки с интервалом повторения для представления знаний в виде списка, я заметил, что работаю в довольно тупой, ориентированной на исполнение манере. Работа казалась безжизненной. Я понял, что в том, о чем я писал, есть много открытых вопросов, и перефразировал свою работу с «записать то, что я бегло знаю по этой теме», на «попытаться ответить: как изучаются списочные знания с когнитивной точки зрения? как следует развивать этот тип знаний с помощью систем интервального повторения? » Я испытал «переворот», как классический обмен вазой / лицом, и внезапно работа снова стала жизненно важной: мне было любопытно найти ответы на эти вопросы, и я продвинул свое понимание темы вперед.

По теме: [[Сфокусированная работа по разработке программного обеспечения - это самоотречение]]
:: TODO эту заметку следует преобразовать в несколько других заметок

Одна вещь, которая отличает [Динамическая среда] от других форм, заключается в том, что она имеет собственное поведение и реагирует при взаимодействия с ней. В отличие от других форм мультимедиа, почти все динамические носители постоянно ведут себя и реагируют одинаково. Опыт пользователей со временем меняется, поскольку они растут и по-разному взаимодействуют со средой, но это редко бывает спроектированным свойством. В динамических средах отсутствует практика общения с созданным измерением времени.

В фильмах и книгах, напротив, режиссеры и авторы тщательно моделируют и формируют опыт участников в процессе работы. Часто это принимает форму повествования, которое может создать эмоциональную связь или помочь людям постепенно понять сложные темы ([[Повествование как когнитивная опора]]). Не существует повествовательной формы, присущей динамическим средам.

!!!Проза, чередующаяся с динамической средой, создает разрозненный опыт

Один из распространенных подходов - чередование кратких взаимодействий с динамическими медиа в прозе (например, Харт и Кейс, Патель. Виктор (2010) особенно детализирован, хотя на самом деле он не пытается быть повествовательным). Такой подход к повествованию кажется совершенно несовместимым: две формы были склеены вместе, а не превратились во что-то новое.

Поверхностная версия этой проблемы состоит в том, что текст и динамические элементы почти всегда физически разделены, а не визуально интегрированы. Взгляд читателя мечется между текстом и интерактивными элементами, привязывая ссылки к объектам и перемешивая рабочую память. Это проблема и со статическими фигурами; решения, описанные, например, Tufte в основном не применяется в динамической области.

Ощущении от неровности такой ткани повествования более тонкие. Чтение прозы сильно отличается от взаимодействия с интерактивными элементами. Я думаю, что это в основном из-за резких изменений в позиции участия: это немного похоже на то, как кто-то просит вас переключаться между пассажирским сиденьем (проза) и сиденьем водителя (динамические элементы) каждую минуту или две.

Одна из причин, по которой такая подмена доставляет неудобства, заключается в том, что вы знаете, что вам нужно водить машину лишь несколько минут за раз. Когда проза и взаимодействие таким образом чередуются, взаимодействия с динамическими носителями обычно кратковременны по замыслу. Степень детализации должна быть достаточно высокой, чтобы читатели могли легко запомнить рекомендации, представленные в предыдущем тексте. Это делает интерактивные моменты поверхностными и снижает приверженность. Вы знаете, что не пробудете там долго; это не среда для самостоятельной серьезной творческой работы. Это больше похоже на иллюстрацию - и это нормально, - но авторы динамической среды часто стремятся создать более мощную [[Благоприятная (стимулирующая) среда]]. Некоторые авторы добавляют «режим песочницы» в конце своих статей, но это не смягчает поверхностность, которая ощущается в повествовании.

Еще одна проблема с чередованием прозы заключается в том, что текстовое повествование полностью игнорирует ваше взаимодействие с динамическими элементами. Автор предлагает что-то попробовать - ты сделай это; затем авторский текст продолжает свой ход, независимо от того, что вы только что сделали. Это эмоционально отчуждает, как разговор с автоматизированным телефонным деревом. Иногда голос робота говорит что-то вроде того, что вы просили, и так же часто он безмятежно декламирует non sequitur //(нерелевантный довод, термин для обозначения логической ошибки, где предоставленный довод не связан с заключением)//. Никто не ожидает, что прозаическое повествование будет естественным образом следовать за их мыслями и действиями, но когда динамическая среда ведет себя и реагирует - когда автор пытается создать [[Среда участия]] - межличностная дистанция соседнего текста увеличивается. Писатели стараются невероятно сопереживать мыслям и чувствам своих читателей. Эти динамические среды непреднамеренно усложняют эту работу - возможно, слишком трудной для среды.

Эти проблемы очень похожи на трудности, с которыми сталкиваются инструкции по эксплуатации настольных игр.

!!!Настольные игры страдают теми же проблемами; видеоигры - нет

И настольные игры, и видеоигры должны сообщать объяснение и повествование, но то, как эти две среды общаются, дает очень разные ощущения.

Когда вы играете в новую настольную игру, вы можете достать инструкции из коробки и прочитать их в течение нескольких минут, затем настроить игру, а затем попытаться запомнить инструкции во время игры. Во время первой игровой сессии вы неизбежно будете возвращаться к инструкциям каждые пару минут. Этот опыт ужасно неровный, со многими из тех же проблем, что и проза, перемежающимися с динамическими взаимодействиями. Вам может казаться, что вы постоянно пытаетесь вспомнить, что вы «должны делать». Вы можете «потерять свое место» как в тексте, так и в игре, если переключите фокус. У вас могут возникнуть проблемы с эмоциональной привязанностью к игре, если вы знаете, что сможете поиграть всего несколько минут, прежде чем вернуться к руководству. Голос руководства кажется весьма далеким от того, что на самом деле происходит на игровом поле.

Хорошие видеоигры обычно избегают этих проблем, достигая тех же целей.

Видеоигры часто общаются голосом, а не текстом. Иногда озвучка появляется в неинтерактивных роликах, резко отграниченных от обычной игры, но лучшие примеры (например, Portal) представляют повествование как цельный элемент интерактивной среды, никогда не «отнимая» камеру или элементы управления у игрока. Глаза и внимание игроков не переключаются между инструкциями и взаимодействием в этих играх. Чтобы поддержать память игроков, такие игры могут также добавлять короткие текстовые фразы - опять же, интегрированные в игровую среду, - но они обычно действуют как резюме. Они являются указателями на предыдущий «живой» опыт, а не собственными первичными элементами повествования.

Поскольку повествовательная коммуникация интегрирована в среду, она может вести себя и реагировать так же, как и остальные элементы среды. В хороших играх авторское повествование ощущается - постоянно - как реакция на действия игроков (т.е. [[Реализованный опыт]]; см. также [[Реализованный опыт усиливает силу повествования]]. Это чувство резко контрастирует с неприятным ощущением дистанции, которое ощущается в прозаическом повествовании, представленном рядом с интерактивной средой. Конечно, динамическая среда означает, что повествование может меняться в зависимости от действий игроков, но это сложно и плохо понимается. Хорошие повествования в видеоиграх кажутся естественными, интегрированными в интерактивную среду, несмотря на то, что они часто полностью статичны.

!!!Ориентация на динамическую среду, а не на повествование

Примеры, которые я привел до сих пор, с динамическими средствами массовой информации в основном сосредоточены на повествовании. В основном они похожи на статью; текст доминирует над опытом. Динамические представления существуют для поддержки повествования; они редко предназначены для того, чтобы быть мощной средой для размышлений, помимо текста.

Даже в более амбициозных попытках исследований, таких как «Визуализирующие кватернионы» Сандерсона и [[Narrated explorable]], «текст» является первичным. Динамическое представление не предназначено для того, чтобы быть постоянной средой, поддерживающей дальнейшую творческую работу зрителя (подробнее об этом см. Матущак (2018)).

Интересно подумать об изменении этой динамики, так же как видеоигры сосредотачиваются на окружающей среде и представляют повествование как временное наложение. Вместо статьи о программировании с небольшими встроенными игровыми средами, плавающими рядом с текстом, среда программирования с естественными возможностями для повествования. Это могло бы решить некоторые из описанных выше проблем. Что еще более важно, он серьезно использует первоочередное внимание при разработке динамического представления ([[Мощные благоприятные среды сосредоточены на использовании экспертами]].

Twitch интересным образом демонстрирует возможности. Это не повествование, которое вы испытываете сами, но очень интересно увидеть, как эксперт говорит, сосредоточившись на собственной (динамичной) экспертной среде.

Twitch также демонстрирует потенциальную ценность отделения автора динамического носителя (например, Adobe) от автора повествования (например, стримера). Прямо сейчас повествовательные динамические среды почти всегда совмещают эти роли. В этом есть свои преимущества, но исполняемые блокноты начинают демонстрировать сюрпризы, которые могут возникнуть в результате расширения авторства.

Подробнее о возможном механизме: [[Реализованный опыт имеет невероятный потенциал в качестве массовой среды]].

::TODO
* Прецедент [[Иллюстрированный The Primer "Юная леди»]]
* [[Исполняемые книги]] имеют многие из тех же проблем, а также несколько других, но с некоторыми преимуществами.

!!!References

Харт В. и Кейс Н. (8 декабря 2014 г.). Притча о многоугольниках. Получено с https://ncase.me/polygons/

Матущак, А. (26 октября 2018 г.). Рассказанные объекты исследования: три ментальные модели. Получено с https://medium.com/khan-academy-early-product-development/narrated-explorables-three-mental-models-e16e0d80e4c1.

Патель, А. (26 мая 2014 г.). Введение в алгоритм A *. Получено с веб-сайта Red Blob Games: https://www.redblobgames.com/pathfinding/a-star/introduction.html

Сандерсон, Г., и Пожиратель, Б. (2018). Визуализация кватернионов. Получено с https://eater.net/quaternions

Тафте, Э. Р. (1997). Визуальные объяснения: изображения и количества, свидетельства и повествование. Чешир, Коннектикут: Graphics Press.

Valve Corporation. (2007). Портал.

Виктор, Б. (2012, май). Прекратите рисовать мертвую рыбу. Представлено на SF SIGGRAPH. Получено с https://vimeo.com/64895205
[[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]]. В какой степени при внедрении таких подсказок нужны традиционные подсказки атомарного отзыва?

Представьте, что мы изучаем курс математического анализа в средней школе, и вы только что узнали, что `e` это функция, производной которой является сама она. Если бы этот урок был написан с использованием мнемонической среды, мы могли бы задать следующие подсказки для воспоминаний:

"""

Q. Какая функция является собственной производной?
A. `e`
Q. Какая производная `f(x) = e^x?`
А. `e^x`

Но мы также можем представить это как подсказку приложения.

Q. Какая производная `e^8x?`
A. `8e^8x` Объяснение: производная `e^x` сама по себе

Если бы мы задали им только один этот вопрос, я бы не ожидал, что их декларативные знания `e` окажутся твердыми: они, скорее всего, в конечном итоге запомнят ответ на этот вопрос. [[Запросы приложения должны изменяться при повторении]], поэтому представьте, что вместо этого мы также задаем несколько вариантов, например:

Q. Пусть `f(x) = 14e^[x]`. Что есть `df/dx?`
A. `14e^[x]` [[Объяснение: производная e^x сама по себе]]
"""

Представьте, что читатель может решить эту задачу и еще полдюжины других вариантов, и вот уже месяц прошел с момента первоначального урока. Вернемся к предложенным нами подсказкам отзыва. Ожидаем ли мы, что читатель вспомнит: «Какая функция является собственной производной?» Я думаю, что это вполне вероятно ... но я подозреваю, что точность вариантов будет больше коррелировать друг с другом, чем с точностью в подсказке по отзыву.

Понимание `e` с точки зрения его концептуальных свойств отличается от понимания `e` с точки зрения процедуры. Я подозреваю, что включение обоих типов вопросов, вероятно, приведет к более богатому детальному кодированию.

Теперь, ожидаем ли мы, что читатель сможет ответить на предложенное напоминание: «Какая производная от `f(x) = e^x?`» Я ожидал этого с большой вероятностью: в конце концов, этот вопрос можно интерпретировать как тривиальную подсказку приложения, а читатель уже решил более сложные варианты.


Означает ли это, что в этом запросе на отзыв нет необходимости при наличии этих запросов приложения? Подумайте: что, если бы читатель не мог последовательно отвечать на эти запросы приложения? Первый вариант требовал также применения цепного правила (и знания этого `d[kx]/dx = kx`). Второй вариант требовал также понимания синтаксиса `df/dx`. Это более сложные проблемы.

Когда читатель забывает ответ на напоминание, он смотрит на ответ и пытается вспомнить его в следующий раз. Если вопросы элементарные, а расписание хорошо откалибровано, это обычно сработает! Но если читатель не может ответить на подсказку приложения, он не может просто взглянуть на ответ и попытаться вспомнить его в следующий раз: [[Ответы на подсказки приложения не следует извлекать из памяти]].

Но ранее мы говорили, что [[Запоминания с интервалом повторения должны гарантировать, что рецензенты должны извлекать ответы из памяти]]! ''Как же так?!''

Читатели должны проанализировать ответ (возможно, включая его объяснение), определить, что они не помнят, и попытаться вспомнить этот фрагмент в следующий раз. Это намного сложнее, чем то, что нужно для отзыва. Читатель, который все еще сомневался в цепном правиле, может не обращать внимания на свою неспособность вспомнить производную от `e^x`. Без отдельных подсказок, ориентированных на отзыв, их ответы в этой подсказке приложения могут оставаться ненадежными в течение некоторого времени.

Было бы очень интересно провести эмпирические эксперименты по этой теме! Как влияет на точность подсказок читателей, когда удерживаются соответствующие напоминания?

Один интересный эмпирический пример - [[Execute Program]]: [[Запросы Execute Program действуют как подсказки приложения и подсказки отзыва]].

https://notes.andymatuschak.org/z3ERHM3aC9jCyTR5KpgxTAyXf7kNSkG57SqrR
Многие исследователи пытаются создать более эффективную [[§Система интервального повторения]], но я считаю, что критически важно оптимизировать //эмоциональную связь// с сеансом обзора и его содержанием - и, наоборот, безжалостно минимизировать элементы, вызывающие скуку. Эти системы, оставленные на произвол судьбы, естественным образом распадаются, чтобы производить послушные сеансы, которые кажутся отключенными от всего, что имеет для вас значение.

Частично это написание хороших подсказок: [[Каковы наиболее важные атрибуты хороших подсказок с интервалом повторения?]]. Но этого мало. Чтобы оставаться интересными, сеансы повторения требуют постоянного ухода. Если вы какое-то время не добавляете ничего нового, ваши сеансы будут казаться устаревшими: [[Сеансы повторения с интервалом часто становятся скучными и оторванными без постоянного потока новых подсказок]]. Если вы часто забываете ответ, вам придется рефакторировать вопрос, иначе вы рискуете "закатывать глаза в будущем".

Для меня самый важный вид обслуживания касается меняющихся интересов. Я мог бы наткнуться на интересную статью и написать несколько десятков подсказок, которые помогут мне усвоить детали. Теперь перенесемся на шесть месяцев вперед. В счастливом случае я взволнован, когда эти вопросы повторяются, потому что они снова связывают меня с идеями этой увлекательной статьи, которые теперь кажутся более богатыми через призму моего промежуточного опыта. Большую часть времени я просто благодарен за то, что все еще помню детали. Но иногда я больше не нахожу статью очень интересной; вопросы просто кажутся утомительными. Они превратились в «сиротские подсказки» - [[Избегайте сиротских подсказок с повторяющимися интервалами в памяти]].

Одно из возможных решений: [[Механизм «пропуска» может помочь сеансам системы памяти с интервальным повторением оставаться эмоционально связанными]].

Часть зонтика [[Серьезно относиться к эмоциям]].

"""

Q. Большинство исследователей SRM сосредотачиваются на оптимизации планировщика, но я думаю, что наиболее важно оптимизировать…
A. Эмоциональная связь с сеансом обзора и его содержанием.
"""

!!!References

Patreon post elaborating this topic: “Skip”: exponential-backoff deferral mechanisms and fuzzy inboxes | [[Andy Matuschak on Patreon|https://www.patreon.com/posts/skip-exponential-40672377]]
Все знают, как звучит виртуозная игра на фортепиано. Когда любитель играет, он, естественно, сравнивает себя с записью, которую он слышал - и может довольно болезненно ощущать, насколько можно улучшить! Напротив, когда люди принимают сложные решения, им обычно не хватает интуитивного ощущения, что они дилетанты. Военнослужащих учат принимать стратегические и решительные решения, но это не особенно важно для владельца малого бизнеса. Принятие решений, как абстрактный навык, не появилось бы в меню «Тяжелая атлетика».

Я подозреваю, что это одна из ключевых причин, почему [[Люди обычно развивают навыки до плато, а затем останавливаются]], и, в частности, почему [[Спортсмены и музыканты гораздо более строго преследуют виртуозность в фундаментальных навыках, чем работники, занимающие знаниями.]]. Если вы никогда не слышали о [[§Система интервального повторения]], вероятно, не очевидно, что память можно сделать решенной проблемой. Если вы никогда не слышали о [[Вечнозеленые заметки]], вероятно, не очевидно, что [[У работников интеллектуальной сферы обычно нет специальных методов для развития идей с течением времени]].
[[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]], но [[Подсказки приложения написать намного сложнее, чем подсказки отзыва]]. Заманчиво попытаться автоматически сгенерировать эти вариации, но на практике это вряд ли сработает.

Например, Майкл отмечает:

::Вычислите результат, когда вы примените вентиль Адамара к ... "по сравнению с" Вычислить значение H (...) ". Этот вид вещей является невероятно ценным вариантом, и его сложно реализовать программно.

В качестве еще одной точки данных, Академия Хана потратила огромные инженерные ресурсы на создание автоматически генерируемых математических упражнений, чтобы их можно было требовать неограниченное количество. Однако на практике авторы-люди справились гораздо лучше, и оказалось, что огромное количество вариаций просто не было необходимо.

Вероятно, будет полезно обратить внимание на методы, которые мы используем при создании вариантов подсказок приложения, и превратить их в своего рода «учебник» для создания будущих вариантов.
Поскольку написание [[Вечнозеленые заметки]] с плотной ассоциативной структурой (см. [[Вечнозеленые заметки должны быть тесно связаны]]) требует, чтобы мы постоянно перечитывал и пересматривали наше прошлое письмо, этот тип ведения заметок приближается к интервальному повторению.

В частности, интервальное повторение соответствует вашим нынешним интересам. Если вы перестанете читать или писать на заданную тему, вы почти никогда не вернетесь к ней. Если вы регулярно читаете или пишете на какую-то тему, вы довольно часто будете возвращаться к предыдущему материалу.

В частности, интервальное повторение соответствует вашим нынешним интересам. Если вы перестанете читать или писать на данную тему, вы в основном никогда не вернетесь к ней. Если вы регулярно читаете или пишете на тему, вы будете довольно постоянно возвращаться к этому предыдущему материалу.

Это не эффективное интервальное повторение с точки зрения памяти: вы на самом деле не пользуетесь [[Эффект тестирования]]. Но он использует что-то вроде [[Эффект генерации]], и это может быть полезной линзой, чтобы подумать об управлении своим вниманием по всему корпусу идей, которые вы накапливаете с течением времени. В частности, эта практика будет поощрять вас неоднократно уделять внимание прошлым идеям, которые кажутся актуальными для вашей текущей работы. И поскольку вы можете столкнуться с тем, что пересматриваете свои заметки об этих прошлых идеях, внимание может потребовать значительных усилий.
Тот же эффект возникает при обслуживании систем, которые включают  [[Трансклюзия]].

!!!Ссылки
Аренс, С. (2017). Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и писателей научно-популярных книг.
Мы узнаем что-то не только тогда, когда мы связываем это с предшествующими знаниями и пытаемся понять его более широкие последствия (разработка), но также когда мы пытаемся извлечь это в разное время (интервал) в разных контекстах (вариация), в идеале с помощью случая (контекстное вмешательство) и с преднамеренным усилием (извлечение). Слип-бокс не только дает нам возможность учиться этим проверенным способом, он заставляет нас делать именно то, что рекомендуется, просто используя его.
Будь то в музыке (Бах, Леннон), искусстве (Пикассо, Бернини), кино (Тарантино, Андерсон), играх (Блоу, Ланц), художественной литературе (Кундера, Толстой), наиболее выдающиеся работы обычно являются результатом творчества одного человека. усилия. Иногда это очень небольшая группа (Имс, Райтс).

Почему это так?

* Сети консенсуса подавляют радикальные идеи
* [[Трудно услышать свои собственные мысли]]

Это наблюдение создает проблемы для [[Инструменты для размышления]], потому что [[Великие производители инструментов часто не являются отличными пользователями инструментов, и наоборот]]; см. [[Глубокое сотрудничество между производителями и пользователями инструментов может способствовать пониманию посредством создания]].

---

!!!References

Pendleton-Jullian, A. M., & Brown, J. S. (2018). Design Unbound (Vol. 1–2). MIT Press. Pendleton-Jullian and Brown, Design Unbound (с.133)

Большинство по-настоящему великих работ - это результат работы одного человека в одиночестве в своей студии или творческих лидеров, способных передать свое видение другим. Рассмотрим работы Данте, Сервантеса, Джойса; Бах, Вагнер, Кейдж… Большинство великих произведений созданы одним творческим умом.
Пер Майкл: вы, вероятно, предпочли бы, чтобы вашу скрипку сделал Страдивари, чем Джошуа Белл, но вы, вероятно, предпочли бы услышать игру Джошуа Белла. Каждое занятие - изготовление скрипки и игра на скрипке - требует виртуозного мастерства и целой жизни практики. Маловероятно найти обе способности в одном человеке!

И все же [[Великая творческая работа обычно является продуктом одного человека]]. Это наблюдение создает противоречие. [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]]: [Группам, исследующим инструменты для размышления, требуется достаточный потенциал, чтобы создавать прототипы, подходящие для серьезной работы]]. Системные дизайнеры часто недостаточно глубоко разбираются во внешней дисциплине, чтобы обосновать свою работу своими собственными серьезными случаями использования. У предметных экспертов противоположная проблема: [[Академические программные интерфейсы обычно не подходят для серьезного использования широкой аудиторией]].

Итак: [[Глубокое сотрудничество между производителями и пользователями инструментов может способствовать пониманию посредством создания]].
Вечнозеленые заметки пишутся и организуются для развития, внесения вклада и накопления с течением времени в рамках проектов. Это необычный способ думать о написании заметок: [[Большинство людей делают только временные заметки]] . Это потому, что эти практики не о написании заметок; они связаны с эффективным развитием понимания: [[«Лучшее ведение заметок» упускает суть; важно «лучшее мышление»]]. Когда эти заметки сделаны хорошо, они могут быть довольно ценными: [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]] .
Трудно писать заметки, которые стоит развивать с течением времени. Эти принципы помогают:

* [[Вечнозеленые заметки должны быть атомарными]]
* [[Вечнозеленые заметки должны быть концептуальными]] 
* [[Вечнозеленые заметки должны быть тесно связаны]]
* [[Предпочитайте ассоциативные онтологии иерархическим таксономиям]] 

Эта концепция в значительной степени развивается из «[[Zettelkasten]]» Никласа Лумана, который он считает независимым интеллектуальным партнером при написании своих 70 книг. См. [[Сходства и различия между вечнозеленым написанием заметок и Zettelkasten]] 
 
!!!Внедрение практики вечнозеленых заметок
См.:

* [[Пишите о том, что вы читаете]]
*  [[Почтовый ящик для чтения для сбора потенциально полезных ссылок]] 
* [[Почтовый ящик для временных и неполных заметок]] 
* [[Исполняемая стратегия письма]] 

!!! References

Ahrens, S. (2017). How to Take Smart Notes: One Simple Technique to Boost Writing, Learning and Thinking – for Students, Academics and Nonfiction Book Writers.
Многие студенты и академические писатели думают, что ранние владельцы судов, когда дело доходит до ведения заметок. Они обрабатывают свои идеи и выводы так, как это имеет непосредственный смысл: если они читают интересное предложение, они подчеркивают его. Если у них есть комментарий, который нужно сделать, они записывают его на поля. Если у них есть идея, они записывают ее в свою тетрадь, а если статья кажется достаточно важной, они прилагают усилия и пишут отрывок. Работая так, вы оставите много разных заметок во многих разных местах. Таким образом, писать означает сильно полагаться на свой мозг, чтобы помнить, где и когда были записаны эти заметки.

Луманн, Н. (1992). Общение с ящиками. В А. Кизерлинг (ред.) и М. Кун (перевод), *Университет мили: Kleine Schriften*(стр. 53–61). 
http://luhmann.surge.sh/communicating-with-slip-boxes
Когда у вас есть какие-то подозрения о новой идее, возникает соблазн попытаться сразу же записать идею и развить ее на месте. Но часто это невозможно ни с практической, ни с эмоциональной точки зрения: идея может еще не быть достаточно твердой, чтобы атаковать ее напрямую. Пустая страница может показаться пугающей; претензии все еще могут казаться мягкими.

Вместо этого взращивайте безумную идею и позволяйте ей развиваться с течением времени, постепенно записывая в [[Вечнозеленые заметки]] о мелких аспектах идеи. Эти заметки имеют гораздо более узкий охват: они просто должны описывать одну атомарную концепцию ([[Вечнозеленые заметки должны быть атомарными]], [[Вечнозеленые заметки должны быть концептуальными]]).

Идея даже изначально не должна быть связана с какой-либо ранее существовавшей линией мысли. Но со временем вы можете постепенно подключать его к другим концепциям, старым или новым. См. также: [[Интервальное повторение может быть полезным инструментом для постепенного развития догадок]].

Вы можете [[Создавайте спекулятивные контуры во время написания заметки]], чтобы связать эти части воедино, и со временем они срастутся в более связное целое. ([[Заметки должны вас удивлять и давать insights]], а [[Знания должны срастаться]]).

Напротив: [[Мозговой штурм часто может заменить недостающие системы накопления insights]]

Рекомендации
Аренс, С. (2017). Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и авторов научно-популярных книг.

Стивен Джонсон, написавший проницательную книгу о том, как люди в науке и в целом придумывают новые подлинные идеи, называет это «медленным догадыванием». В качестве предварительного условия для использования этой интуиции он подчеркивает важность экспериментальных пространств, где идеи могут свободно смешиваться (Johnson 2011). Лаборатория с непредубежденными коллегами может быть таким пространством, как интеллектуалы и художники свободно обсуждали идеи в кафе старого Парижа. Я бы добавил ящик как такое пространство, в котором идеи могут свободно смешиваться, чтобы они могли рожать новые.

Каждое интеллектуальное усилие начинается с уже существующего предубеждения, которое затем может быть преобразовано в ходе дальнейших исследований и может служить отправной точкой для последующих усилий. По сути, это то, что Ганс-Георг Гадамер называл герменевтическим кругом (Gadamer 2004).

Пирсиг, Р. М. (1991). Лила: Исследование морали. Нью-Йорк: Bantam Books.

Поскольку он не оценивал соответствие новых идей заранее и не пытался привести их в порядок, а просто позволял им течь, эти идеи иногда возникали так быстро, что он не мог записать их достаточно быстро. Предмет, целая метафизика, был настолько огромен, что поток превратился в лавину. Скольжения продолжали расширяться во всех направлениях, так что чем больше он видел, тем больше он видел, чтобы увидеть. Это было похоже на эффект Вентури, который бесконечно втягивал в себя идеи. Он увидел, что есть миллион вещей, которые нужно прочитать, миллион идей, которым нужно следовать… слишком много… слишком много… и недостаточно времени в одной жизни, чтобы собрать все это воедино. Заваленный.

Лучше всего создавать заметки, которые относятся только к одному, но которые, насколько это возможно, охватывают всю эту вещь.

Таким образом, легче формировать связи между темами и контекстами. Если ваши заметки слишком широкие, вы можете не заметить, когда столкнетесь с какой-то новой идеей об одном из понятий, содержащихся в них, и ссылки на эту заметку будут запутанными. Если ваши заметки слишком фрагментированы, вы также фрагментируете свою сеть ссылок, что может затруднить просмотр определенных соединений. [[Вечнозеленые заметки должны быть тесно связаны]]  
Здесь нет четкого лакмусового теста или правильного ответа - просто куча компромиссов.
Это понятие очень похоже на принцип *разделения проблем*в области разработки программного обеспечения*,*который предполагает, что модули должны быть «о» только одном, чтобы их было легче повторно использовать. Но также, если вы слишком много фрагментируете модули, у вас возникнет проблема с сплоченности. Таким образом,  [[Заголовки вечнозеленых заметок похожи на API]] .

!!Ссылки
"""
 [Создать Zettel из заметок для чтения * [[Метод Zettelkasten|https://zettelkasten.de/posts/create-zettel-from-reading-notes/]] 
Основной принцип, который я бы назвал **принципом** **атомарности:**сложите вещи, которые принадлежат вместе в *Zettel*, но попробуйте отделить проблемы друг от друга. Например, я мог бы собрать список предположений в одном *Zettel*, который служит обзором. как [[Жесткий детерминизм|http://en.wikipedia.org/wiki/Hard_determinism]]. 

Связанный с этим аргумент и его заключение будут сохранены в другом *Zettel*. [[Нравственная ответственность при жестком детерминизме|http://en.wikipedia.org/wiki/Moral_responsibility#Hard_determinism]] является хорошим примером. Я могу повторно использовать аргументы, не покупая в предположения, потому что аргументы имеют достаточно общую форму. Атомность способствует повторному использованию, что, в свою очередь, умножает количество соединений в сети Zettels.
"""
Лучше всего разложить  [[Вечнозеленые заметки]] по концепции (а не по автору, книге, событию, проекту, теме и т. д.). Таким образом, вы обнаруживаете связи между книгами и доменами по мере обновления и ссылки на заметку с течением времени [[Вечнозеленые заметки должны быть тесно связаны]].
Самый простой способ сделать заметки - начать новую заметку для каждой книги, каждого проекта или каждой темы исследования. Поскольку каждая заметка охватывает множество концепций, может быть трудно найти то, что вы написали, когда концепция появится позже: вы должны помнить название каждой книги или проекта, который касался этой темы (в отличие от этого:  [[Вечнозеленые заметки должны быть атомарными]].

Когда вы читаете другую книгу, в которой обсуждается та же концепция, вы напишете новую заметку на эту книгу. При таком подходе нет накопления ([[Знания должны срастаться]]). Ваши новые мысли о концепции не сочетаются со старыми, чтобы сформировать более сильное целое: у вас просто есть рассеянный набор заметок о концепции, возможно, ссылаясь на нее разными именами, каждое из которых встроено в какой-то более крупный документ.
Речь идет не только о накоплении. Также нет никакого давления, чтобы синтезировать ваши новые идеи по концепции с вашими предыдущими мыслями об этом. Между ними есть напряженность? Видна ли какая-то мощная перегонка только тогда, когда все эти идеи рассматриваются одновременно? [[Понимание требует активного вовлечения]]
Если бы мы прочитали две книги на одну и ту же тему, мы могли бы легко связать наши заметки об этих двух вместе. Но новые связи, как правило, появляются там, где их не так ожидают. При организации заметок по концепции вы можете установить удивительные связи между идеями, которые возникли в очень разных книгах. Возможно, вы никогда не замечали, что эти книги были связаны раньше, и, действительно, они могли бы и не быть связаны, за исключением этого момента.
Организация по концепции делает нот-нот немного сложнее, но полезным способом: при написании новых заметок приходится находить, где они вписываются в целое. Поэтому мы исследуем некоторую часть нашей предыдущей сети заметок, которая может привести нас куда-то неожиданное.
Со временем мы накапливаем заметки, которые мы можем объединять все более сложными способами ( [[Заголовки вечнозеленых заметок похожи на API]] для получения новых идей (написание [[Написание вечнозеленых заметок помогает накапливать понимание]]. 

# Ссылки
 [Расширьте свой разум и память с помощью Zettelkasten * Метод Zettelkasten](https://zettelkasten.de/posts/extend-your-mind-and-memory-with-a-zettelkasten) 
Когда вы уже разобрали два текста, Zettelkasten поможет вам установить связи между ними, увидеть их сходство и противопоставления. Таким образом, вы сможете перегонять кучу текстов и со временем узнать что-то новое для себя.
вы будете генерировать новые идеи, следуя связям и изучая часть вашей сети заметок. Неявные связи, как правило, более полезны для творческого мышления, чем очевидные, поскольку они вызывают больший сюрприз.
когда вы анализируете текст, вы разлагаете его веб-подобное целое на части и отслеживаете их отношения друг с другом.
Луманн, Н. (1992). Общение с ящиками. В А. Кизерлинг (ред.) и М. Кун (перевод), *Университет мили: Kleine Schriften*(стр. 53–61). Получено с  [http://luhmann.surge.sh/communicating-with-slip-boxes](http://luhmann.surge.sh/communicating-with-slip-boxes) 
Мы могли бы попытаться обобщить опыт Парижа, Флоренции, Нью-Йорка под общими концепциями, такими как «искусство» или «выставки», или «толпование» (взаимодействия), или «масса», или «свобода» или «образование», чтобы увидеть, как реагирует слипбокс. Обычно плодотворнее искать формулировки проблем, которые связывают между собой разнородные вещи.
Аренс, С. (2017).*Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и писателей научно-популярных книг*.
В старой системе вопрос: под какой темой хранить эту заметку? В новой системе вопрос: в каком контексте я захочу на нее наткнуться снова?
Заметки о Fleeting literature могут иметь смысл, если вам нужен дополнительный шаг, чтобы понять или понять идею, но они не помогут вам на более поздних этапах процесса написания, так как ни одно подчеркнутое предложение никогда не появится, когда оно вам понадобится при разработке аргумента.
Многие студенты и академические писатели думают, что ранние владельцы судов, когда дело доходит до ведения заметок. Они обрабатывают свои идеи и выводы так, как это имеет непосредственный смысл: если они читают интересное предложение, они подчеркивают его. Если у них есть комментарий, который нужно сделать, они записывают его на поля. Если у них есть идея, они записывают ее в свою тетрадь, а если статья кажется достаточно важной, они прилагают усилия и пишут отрывок. Работая так, вы оставите много разных заметок во многих разных местах. Таким образом, писать означает сильно полагаться на свой мозг, чтобы помнить, где и когда были записаны эти заметки. Затем текст должен быть концептуализирован независимо от этих заметок, что объясняет, почему так много людей прибегают к мозговому штурму, чтобы впоследствии организовать ресурсы в соответствии с этой предвзятой идеей.
Если мы заставляем себя добавлять много ссылок между нашими заметками, это заставляет нас широко задуматься о том, какие еще концепции могут быть связаны с тем, о чем мы думаем. Это заставляет тщательно обдумать, как идеи соотносятся друг с другом (см. [[Понимание требует активного вовлечения]], а [[Вечнозеленые заметки должны быть концептуальными]]). Это также поможет вам глубже усвоить идеи с помощью [[Детальное кодирование]].

Чтобы найти правильные ссылки, необходимо прочитать старые заметки, поэтому это также естественный механизм для периодического просмотра написанных нами заметок ([[Ведение вечнозеленой заметки - это интервальное повторение]]). Это может привести к удивительным открытиям ([[Заметки должны вас удивлять и давать insights]]).

И, записывая связи, мы документируем, как мы пришли к нашим выводам, которые могут быть полезны нам (или нашим коллегам) позже. Насколько это возможно, мы должны [[Отдавать предпочтение мелкозернистым ассоциациям]]. Напротив, [[Теги - неэффективная ассоциативная структура]].

Когда вы просто читаете свои заметки, связи предлагают множество путей для перемещения через пространство идей. Есть соблазн использовать иерархическую навигацию, но ссылки пересекают поля и темы. Поэтому необходимо [[Предпочитайте ассоциативные онтологии иерархическим таксономиям]] - это подарит больше insights. 

Luhmann, N на самом деле утверждает, что ...

По сравнению с этой структурой, которая предлагает возможности подключения, которые могут быть актуализированы, важность того, что на самом деле было отмечено, второстепенна.

Вам не обязательно давать ссылки на уже написанные заметки: [[Обратные ссылки могут быть использованы для неявного определения узлов в системах управления знаниями]].  Приятно остановиться и добавить новую ноту всякий раз, когда это необходимо. Иметь возможность ссылаться на заглушку - это очень здорово ([[Вечнозеленые заметки позволяют плавно прогрессировать в письменной форме («инкрементное письмо»)]]).

Помимо постоянной ценности захваченных ссылок, они могут помочь вам привлечь ваше внимание во время проектировании: выпускные клапаны для нелинейного мышления могут поддерживать улучшенный линейный вывод. [[Выпускные клапаны для нелинейной мысли могут поддерживать улучшенную линейную мощность]]

!!!Рекомендации
Луман, Н. (1992). Общение с ящиками скольжения. В A. Kieserling (Ed.), & M. Kuehn (Trans.), Universität als Milieu: Kleine Schriften (стр. 53–61). Получено с http://luhmann.surge.sh/communicating-with-slip-boxes.

2. Возможность связывания (Verweisungsmöglichkeiten). Поскольку все статьи имеют фиксированные номера, вы можете добавить к ним столько ссылок, сколько захотите. У центральных концепций может быть много ссылок, которые показывают, в каких других контекстах мы можем найти материалы, относящиеся к ним. С помощью ссылок мы можем без лишней работы или бумаги решить проблему множественного хранения. При использовании этой техники менее важно, где мы размещаем новую заметку. Если есть несколько возможностей, мы можем решить проблему как захотим и просто зафиксировать подключение по ссылке или ссылке. Часто контекст, в котором мы работаем, предполагает наличие множества ссылок на другие заметки. Это особенно актуально, когда картотека уже объемная. В таких случаях важно зафиксировать соединения как бы радиально, но в то же время сразу записать обратные ссылки в соединяемых листах. В этой рабочей процедуре контент, на который мы обращаем внимание, обычно также обогащается.

В любом случае общение становится более плодотворным, когда нам удается активировать внутреннюю сеть ссылок при написании заметок или выполнении запросов. Память не функционирует как сумма точечных обращений, а скорее использует внутренние отношения и становится плодотворной только на этом уровне снижения ее собственной сложности. Таким образом, в этот изолированный момент поискового импульса становится доступным больше информации, чем предполагалось. Также имеется больше информации, чем когда-либо было сохранено в виде заметок. Промежуточный ящик предоставляет комбинаторные возможности, которые никогда не планировались, никогда не предполагались заранее или задумывались таким образом.

Если мы спросим, ​​например, почему, с одной стороны, музеи пусты, а с другой стороны, выставки картин Моне, Пикассо или Медичи слишком переполнены, ящик для промахов принимает этот вопрос с точки зрения «предпочтения того, что есть». временно ограничено ». Связи, которые уже существуют внутри, конечно, избирательны, как этот пример должен был доказать. Они также не попадают в рамки очевидного, потому что мы должны пересечь границу между тем, кто принимает к сведению, и самим слотом.

По сравнению с этой структурой, которая предлагает возможности подключения, которые могут быть актуализированы, важность того, что на самом деле было отмечено, второстепенна.
Атомарный размер вечнозеленых заметок ([[Вечнозеленые заметки должны быть атомарными]]) и структуры ссылок ([[Вечнозеленые заметки должны быть тесно связаны]]) позволяют легко остановить и возобновить работу. Это помогает нам [[Закрыть открытые петли]].

Эти небольшие автономные банкноты представляют собой регулярные контрольно-пропускные пункты. На написание каждой заметки требуется всего несколько минут, но поскольку это [[Вечнозеленые заметки]], каждая заметка является прочной основой для того, на которой можно стоять - довольно полная по сравнению со своей собственной концепцией ([[Вечнозеленые заметки должны быть концептуальными]]). Конечно, мы будем повторять их содержание с течением времени, но каждый раз, когда мы это делаем, эта заметка будет оставаться в основном полным, автономным блоком.

Напротив, когда мы работаем над большой незавершенной рукописью, мы жонглируем многими идеями в различных состояниях завершения. Различные части документа находятся на разных уровнях точности. Документ достаточно велик, чтобы легко потерять свое место или забыть, где находятся другие соответствующие моменты, когда человек возвращается. Начало и остановка работы на день кажутся тяжелыми задачами, в значительной степени опираясь на рабочую память.

!!!Ссылки
Ahrens, S. (2017). How to Take Smart Notes: One Simple Technique to Boost Writing, Learning and Thinking – for Students, Academics and Nonfiction Book Writers.

Поскольку результат каждой задачи записывается, а возможные связи становятся видимыми, легко возобновить работу в любое время, где мы ее оставили, без необходимости постоянно помнить о ней.

Все это позволяет нам позже взять задачу именно с того места, где мы остановились, без необходимости «помнить» о том, что еще нужно было что-то сделать. Это одно из главных преимуществ письменного мышления - все в любом случае экстернализируется.

Только в том случае, если в нашей рабочей памяти ничего не остается и не забирает ценные умственные ресурсы, мы можем испытать то, что Аллен называет «разумом, подобным воде» - состояние, при котором мы можем сосредоточиться на работе прямо перед нами, не отвлекаясь на конкурирующие мысли.
В письменной форме бывает больно «убить своих любимых». Это может сделать усилия, затраченные на написание этих разделов, напрасными. Он также может создавать открытые циклы (см. [[Закрыть открытые петли]]): вы можете почувствовать, что хотите убедиться, что хотите где-то опубликовать эти идеи, поэтому теперь вам нужно где-то запомнить этот раздел (или отслеживать фрагмент), чтобы вы может не забыть включить его в другую рукопись.

Но если для написания используется [[Исполняемая стратегия письма]], основанная на заметках, то большая часть работы уходит на написание [[Вечнозеленые заметки]].
Материал, который не является существенным для конкретного произведения, может стать прочной записью, создавая сеть ссылок ([[Вечнозеленые заметки должны быть тесно связаны]]) и способствовать будущему пониманию (см. [[Написание вечнозеленых заметок помогает накапливать понимание]]). Или, если он нуждается в доработке, его можно добавить в почтовый ящик для писем ([[Почтовый ящик для временных и неполных заметок]]).

Это более узкий пример более общего наблюдения: [[Выпускные клапаны для нелинейной мысли могут поддерживать улучшенную линейную мощность]].

Фактически, если вы используете «неориентированную» исполняемую стратегию для письма (при которой ваше письмо в основном возникает из уже существующих заметок), то большая часть текста даже не была написана для этой рукописи. Так кого волнует, если часть этого будет удалена из рукописи?

Связанный: [[Программные интерфейсы часто представляют разрушительные операции как окончательные решения, а не как случайные предпочтения]]

!!!Ссылки
Ahrens, S. (2017). How to Take Smart Notes: One Simple Technique to Boost Writing, Learning and Thinking – for Students, Academics and Nonfiction Book Writers.

Одна из самых сложных задач - удалить то, что не имеет функции в аргументе - «убить своих любимых». Это становится намного проще, если вы переместите сомнительные отрывки в другой документ и скажете себе, что можете использовать их позже.

[[[Evergreen notes lower the emotional stakes in editing manuscripts]|https://notes.andymatuschak.org/z26G5QDZgkk3mLTJoWHfzM6kjRzHpTAWHeZWN]]
Дизайнеры интерфейсов часто заинтересованы в разработке «увлекательных взаимодействий», но взаимодействия, по умолчанию, являются бременем, возлагаемым на пользователя, - налогом, которого следует избегать. Если я использую интерфейс для анализа некоторых данных, идеальным вариантом будет отсутствие взаимодействия: я читаю экран с информацией, замечаю закономерность и отвечаю на свой вопрос. За каждый блок фильтра, кнопку навигации и скруббер взимается дополнительная плата.

Конечно, иногда бывает слишком много информации, чтобы понять ее без взаимодействия, как бы продуманно она ни была представлена. В этих случаях осторожное использование интерактивности может принести пользу за счет фильтрации пространства возможностей, но эта выгода всегда должна быть тщательно сбалансирована с накладываемыми акцизами.

Брет Виктор дополнительно замечает (2006):
У интерактивности есть еще более серьезные проблемы, чем просто бесполезная трата времени:

Пользователь должен уже знать, чего он хочет, чтобы попросить об этом. Программное обеспечение, основанное на истории и окружающей среде, может проактивно предлагать потенциально релевантную информацию, которую пользователь иначе не узнал бы, чтобы запросить. Чисто интерактивное программное обеспечение заставляет пользователя сделать первый шаг.

Пользователь должен знать, как спрашивать. То есть она должна научиться управлять машиной. Концепция Дональда Нормана об определении «ментальной модели» пользователя получила широкое распространение в сообществе юзабилити программного обеспечения и теперь считается основной проблемой проектирования. Однако Норман описал эту концепцию в контексте механических устройств. Это применимо к программному обеспечению только в том случае, если оно действительно содержит скрытые механизмы, которые пользователь должен смоделировать. Немеханическая информационная графика с низким уровнем взаимодействия избавляет и пользователя, и дизайнера от борьбы с ментальными моделями.

Навигация подразумевает состояние. Программное обеспечение, по которому можно перемещаться, - это программное обеспечение, в котором пользователь может потеряться. Чем больше навигации, тем больше углов, в которых можно застрять. Чем более управляемое состояние, тем больше способов уйти в «плохой режим». Государство - это основная причина, по которой люди боятся компьютеров: объекты с состоянием могут быть нарушены . (Примечание: единственное состояние, которое хранится в книге, - это то, для какой страницы она открыта, поэтому «заблудиться в книге» означает получить удовольствие!)

!!!References

Victor Bret (2006, 15 марта). Magic Ink: [[Информационное программное обеспечение и графический интерфейс|http://worrydream.com/MagicInk/](http://worrydream.com/MagicInk/]] 
Обычно трудно оправдать вложения в новые идеи интерфейса, потому что [[Новые идеи пользовательского интерфейса - общественное достояние]]. Но похоже, что у видеоигр нет той же проблемы, что и у более широкой индустрии программного обеспечения: эмпирически они регулярно изобретают новые интерфейсы, хотя копируются очень быстро. Одна из возможных причин этого заключается в том, что видеоигры обычно зарабатывают большую часть своих денег на первых нескольких месяцах продаж - например, на фильмах. А новые идеи интерфейса могут выделить игру и сделать ее более успешной на рынке. Таким образом, разработчики игр могут окупить дорогостоящие инвестиции в новые идеи интерфейса, даже если через несколько месяцев они будут скопированы дюжиной подражателей.
* [[Каково причинное влияние сеансов обзора мнемонической среды на удержание читателей?]] 
** [[Читатели Quantum Country надежно развивают детальное удержание]]
* Насколько эффективно мнемоническая среда может обеспечить надежное удержание?
** [[Мнемонические эссе могут предлагать подробное сохранение их содержания в обмен на 35-50% дополнительных затрат времени на чтение]]
** Читатели Quantum Country становятся быстрее с каждым повторением
** Пользователи Quantum Country кажутся на удивление нечувствительными к изменениям расписания

* Насколько обобщают эти результаты?
** [[Как производительность мнемонического носителя различается в зависимости от тематики знаний о платформе?]]
** [[Как мнемоническая среда может помочь читателям в жанрах, не связанных с платформой?]]

История, которую я хочу рассказать:

Если вы завершите сеансы обзора, вы надежно запомните прочитанное.

# … И без этих обзорных сессий вы бы запомнили гораздо меньше.
# … И это не будет стоить вам так много времени.
# … И этот эффект распространяется на многие области.

Внутри [[Quantum Country]] у нас есть убедительные доказательства 1, умеренные доказательства 3 и новые доказательства 2. У нас пока нет доказательств 4.

!!! Поведение пользователей Quantum Country

* В первом полугодии 2019 года 29% читателей QCVC, завершивших уровень в тексте, завершили 1-месячный уровень
* По состоянию на 1 квартал 2020 года несколько сотен пользователей продемонстрировали удержание QCVC более 1 месяца.

!!!Восприятие читателем
* «Я прошел только ваш первый курс квантовой страны (пока), но я считаю замечательным то, что я могу просмотреть доказательство и следовать ему, зная, что все это значит. Это почти как Нео в Матрице говорил Морфеус, «Я знаю квантовые вычисления»»
* «Я думаю, что проведение обзорных сессий дает мне то, что обещает сделать. Это уверенность в том, что я запомню материал и смогу легко подтасовывать факты. Хотя у меня уже был небольшой опыт работы с квантовыми вычислениями, эссе мне очень помогли. Он прошел гладко и укрепил мои знания, которые раньше были довольно шаткими и имели слишком много белых пятен. Я очень благодарен за существование этого эксперимента с мнемоническими эссе»
* «В отличие от других способов обучения, я не боюсь забыть то, что я
узнал в будущем, потому что я знаю, что есть кто-то, кто всегда будет
напоминать мне пересмотреть ключевые части в нужные моменты времени. И это
не просто чувство. Судя по результатам обзора, я думаю, что я
запомнил большинство из них надежно»
Само по себе обучение редко бывает целью, даже если это так кажется. Учебное поведение обычно регулируется другими внутренними или внешними силами.

За пределами учебных заведений обучение обычно является инструментальной целью на пути к какой-то действительно значимой цели. Неявные цели обучения также могут возникать как следствие подлинного любопытства или эстетического инстинкта. Все эти подстрекатели находятся внутри, поэтому их хорошо иметь на месте водителя: учебная деятельность будет естественным образом реагировать на изменения внутренних целей человека, любопытства или эстетического опыта. Учебная деятельность выражает эти личные побуждения и регулируется ими. Обучение остановится, когда этот привод (любопытство) остановится; полезный опыт будет мотивировать и формировать эти личные стремления в будущем. Это самоактуализирующееся поведение.

Напротив, некоторые виды обучающего поведения в основном модулируются внешними силами. «Машинное обучение будет иметь большое значение в моей области, поэтому я думаю, мне стоит узнать об этом». «Как предположительно интеллектуальный человек, я чувствую, что должен знать аргументы Платона». «Я слышал, как много людей говорили об этой книге; Думаю, мне стоит это прочитать! » Обучение остановится, когда пропадёт (снизится) чувство долга. Будь то полезная или вредная - эта деятельность отрекается от интеллектуальной воли перед внешними силами. Это самоотречение.

Это одна из причин, почему [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]].

См.также [[Цели обучения часто подрывают себя]].
В некоторых областях, например в бухгалтерском учете, за последнее столетие опыт вырос благодаря новым технологиям. Но во многих областях, таких как музыка и спорт, планка производительности мирового класса, кажется, значительно выросла без каких-либо дополнительных изобретений извне. Эрикссон и Пул (2016) предполагают, что этот рост объясняется тем, что больше времени тратится на все более сложные практики (стр. 8).

Связанный: [[Физические и когнитивные способности человека можно удивительно значительно расширить с практикой]].

[[В каких сферах планка виртуозности не поднялась значительно? На каких полях она упала?]]

Возможно, связано: [[Спортсмены и музыканты гораздо более строго преследуют виртуозность в фундаментальных навыках, чем работники, занимающие знаниями.]].

!!!Примеры

* Показатели в каждом проанализированном олимпийском соревновании (легкая атлетика, плавание) улучшились с 1896 по 1980 год, в некоторых случаях на 90% (Schulz and Curnow, 1988).
* (Ericsson & Pool, 2016, стр. 6-7)
** Мировой рекорд среди марафонцев 1908 года (2 часа 55 минут, Джонни Хейс) едва ли смог бы претендовать на участие в Бостонском марафоне сегодня.
** В настоящее время считается, что записи лучших музыкантов мира начала 20 века испорчены техническими ошибками.
** В прыжках в воду двойное сальто считалось слишком опасным для попытки; Теперь это обычное дело для соревнований десятилетних детей.
** Мировой рекорд по количеству запоминаемых цифр π вырос с 511 до 70 000 за четыре десятилетия.

Q. Приведите пример того, как резко поднялась планка виртуозности, не связанная с новыми инструментами. (Приведите пример, который вы недавно не приводили)
A. [[Марафонцы, выступления музыкантов, двойные сальто, цифры пи]]

!!!References

Ericsson, A., & Pool, R. (2016). Peak: Secrets from the New Science of Expertise (1 edition). Eamon Dolan/Houghton Mifflin Harcourt. [[Пик - Ericsson and Pool]]

Schulz, R., & Curnow, C. (1988). Peak Performance and Age Among Superathletes: Track and Field, Swimming, Baseball, Tennis, and Golf. Journal of Gerontology, 43(5), P113–P120 https://doi.org/10.1093/geronj/43.5.P113
Матрица для [[Программируемое внимание]]
как реализовано с помощью систем типа интервального повторения; см. [[Системы интервального повторения могут использоваться для программирования внимания]] к основной статье.

Связано: [[Система интервального повторения на уровне ОС]]
[[Мнемоническая среда может помочь в написании подсказок с помощью подсказок, предоставленных автором]], но иногда особенно важно, чтобы читатель писал свои собственные подсказки - например, особенно, когда влияние носит личный, а не интеллектуальный характер, поскольку [[Интервальное повторение может быть полезным инструментом для развития или изменения привычек]]. Что, если бы автор мог помочь читателю написать свои собственные подсказки? Возможно, они могли бы предоставить набор шаблонов подсказок для ремикширования, чередующихся непосредственно в процессе чтения, как в этом эскизе:

[img[Снимок экрана 2021-04-13 в 10.00.12 PM.png]]

Этот механизм будет во многом зависеть от правильных ответов на вопрос, [[Как мнемоническая среда может адаптироваться к разному опыту и целям читателей?]]. Это то, что легко может вызвать раздражение.

Возможно, взаимодействие с набором текста следует вытянуть «над» самой подсказкой, чтобы из одного ответа можно было сгенерировать несколько подсказок; например, «Какие трения я чувствую, пытаясь выполнять ежедневные упражнения ?» и «Что (нового) я могу попробовать, чтобы упростить выполнение ежедневных упражнений?», с заполнением бланков обоих шаблонов выбранной привычкой.

Вариант этого механизма можно представить в виде подсказки, состоящей из нескольких частей (карта разворачивается, как оригами?): «В данный момент, какую привычку вы инстинктивно хотите сделать более надежной в данный момент?» / «Какие трения вы чувствуете, пытаясь выработать эту привычку?» / «Как бы вы могли облегчить эти трения или облегчить эту привычку?» При таком типе подсказки, состоящей из нескольких частей, взаимодействие с набором текста может не потребоваться: более поздние подсказки могут просто говорить с более ранними.


Один из способов ориентироваться в парадоксе, присущим  привилегированным линейным рабочим продуктам, но нелинейным рабочим средам: делая нелинейные структуры доступными для незавершенной работы, вы создаете выпускной клапан для касательного мышления, который, в свою очередь, может освободить автора сосредоточиться на своей «первичной» линии мышления.
Например, на доске или в блокноте, если вы разрабатываете «основной» маркированный список или диаграмму, и с вами происходит что-то, что не совсем вписывается, вы можете просто записать его в сторону и, возможно, нарисовать стрелку.

Точно так же в системе написания гипертекстовых заметок косвенные мысли всегда можно зафиксировать в другой заметке и связать в ней:  [[Вечнозеленые заметки снижают эмоциональные ставки на редактирование рукописей]]. Но это преимущество не обязательно заключается в создании хорошо связанной онтологии (как описано в  [[Вечнозеленые заметки должны быть тесно связаны]]); это больше связано с поддержанием гигиены и внимания.

Линейные среды разработки, такие как текстовые процессоры, заставляют автора создавать пузырьки нелинейности внутри своей линейной работы, например, путем добавления или цветных разделов «страйных заметок» или использования Google Comments. Все эти подходы кажутся напряженными и неестественными: [[Тирания формальности в интерфейсах]]:

*… Идеи постоянно пытались ускользнуть. Что такое скобка, как не идея, от которой нужно ускользнуть? Что такое сноска, как не идея, которую попробовали - которая спрыгнула со скалы?*

"""

Q. В каком смысле обработка касательной мысли в нелинейных рабочих средах действует как клапан выпуска?
А. Бродячие мысли могут быть с пользой захвачены и связаны для последующего внимания, не мешая основной фокусу.
Q. Как теория «выпускной стоимости» нелинейного письма подрывает обычное повествование вокруг систем гипертекстовых заметок?
А. Возможно, ценность нелинейного письма заключается не в будущей ценности встроенных ссылок, а скорее в том, что захват касательных мыслей может помочь авторам сосредоточиться на своей «первичной» линии мышления во время написания.
"""
[[Ментальное состояние глубокой разработки программного обеспечения и глубокого исследовательского мышления являются взаимоисключающими]].

Хуже того: по крайней мере, по моему опыту, довольно дорого переключаться между этими двумя психическими состояниями. У меня не было большого успеха, разделив свои дни или даже недели на «строительство» и «мышление» времена. Это делает бриколаж особенно трудным, напротив  [[Insight через создание самого начала предпочитает бриколаж, а не долгий процесс дизайна]].
Обучение имеет значение, поскольку оно влияет на наши будущие мысли и действия. Фактически, поскольку [[Понимание требует активного вовлечения]], обучение является лишь следствием богатого набора мыслей и действий, сплетенных с этими концепциями.

Если смотреть через эту призму, поверхностное обучение («хорошо, я пойду на этот семинар») часто подрывает их собственные цели. Без личной связи с идеями интеллектуальное участие участников будет относительно неглубоким. «Гобелен будет соткан слишком рыхлым; он скоро распадется. Мало что будет глубоко понято».

Когда реальная цель деятельности является чем-то внутренне значимым для участника, его искреннее интеллектуальное участие, естественно, приведет к активному взаимодействию с вовлеченными идеями. Более глубокое понимание не было целью, но, скорее всего, это произойдет в любом случае. [[Сообразительность превосходит силу воли и уверенность]].

В частности, для деятельности, движимой любопытством, личная связь является буквальным предшественником; деятельность продолжается только до тех пор, пока существует эта связь. В этих случаях связь между активностью и интеллектуальным участием особенно чиста.

Джон Литтлвуд (английский математик) писал:
::Я пытался изучать математику за пределами моих интересов; после любого перерыва мне приходилось начинать все сначала.

[[Вечнозеленые заметки]] помогают формировать прочные связи с новыми областями знаний. [[Создавайте спекулятивные контуры во время написания заметки]] и это позволит по-новому открывать ранее неизвестную область, потому что [[Знания должны срастаться]], а [[Перекодирование может увеличить размер чанка]]. 

!!!References
[[Littlewood, J. E. (n.d.). *Littlewood’s Miscellany* (B. Bollobás, Ed.), via Nielsen, M. (2018). Augmenting Long-term Memory.|http://augmentingcognition.com/ltm.html]]
В ответ на [[Кажется, что люди забывают большую часть того, что читают, и в большинстве случаев не замечают]], многие предполагают, что они //не хотят вспоминать все подробности//. Они проводят большую часть своего времени за чтением «для того, чтобы получить общую картину» или «просто для того, чтобы получить концептуальное понимание». Иногда это возможно, но во многих случаях невозможно по-настоящему понять концепцию без твердого понимания деталей, на которых она построена.

!!!Интуитивный аргумент:

Откровенно говоря, кажется вероятным, что такие люди обманывают самих себя, путая чувство удовольствия с каким-либо прочным пониманием. Представьте себе встречу с человеком, который сказал вам, что у него «широкое концептуальное понимание» того, как говорить по-французски, но оказалось, что он не знает значения слов «bonjour», «au revoir» или «tres bien». Можно было бы подумать, что их заявление о широком концептуальном понимании французского было забавным".

[[Как мы можем разработать преобразующие инструменты мышления? - В любом случае, насколько важна память|https://numinous.productions/ttft/#how-important-is-memory]]

Более конкретный аргумент состоит в том, что концептуальное понимание в основном связано с связями - пониманием того, как элементы соотносятся друг с другом, причин, следствий, последствий, ограничений, тенденций и т. д. Вы не можете понять эти отношения высокого порядка без знакомства с их составляющими.

Другой аргумент основан на нашем понимании обработки информации человеком: [[Опыт требует построения сложных схем перекодирования чанков]].

---
"""
Q. Аргумент Reductio ad absurdum (Доведение до абсурда) против кого-то, кто хочет только «широкого концептуального понимания», а не подробного отзыва?
А. Это похоже на желание иметь «широкое концептуальное понимание» французского, не зная значения слова «bonjour».

Q. Аргумент коннективистов о том, что глубокое понимание требует детального знания основ?
А. Концептуальное понимание в значительной степени связано с отношениями; невозможно изучить ребра, не зная узлов.

//Коннективизм - это теоретическая основа для понимания обучения в цифровую эпоху.
//"""

---

!!!References

Матушак А., Нильсен М. (2019). [[Как мы можем разработать преобразующие инструменты мышления|https://numinous.productions/ttft]].
Одно из ключевых утверждений [[Insight через создание]] заключается в том, что [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]]. Но [[Великие производители инструментов часто не являются отличными пользователями инструментов, и наоборот]], поэтому трудно создать мощные контексты для тщательного мышления. [[Группы, изучающие инструменты для мышления, нуждаются в достаточном потенциале для создания прототипов, пригодных для серьезной работы]]. 
Один из подходов состоит в том, чтобы тесно связать производителя инструмента с пользователем инструмента. В идеале они глубоко погружены в работу друг друга, возможно, до такой степени, что могут производить (плохое) исходное понимание в сфере деятельности своего партнера.

Такой подход также позволяет каждому оставаться сосредоточенным и избегать когнитивных затрат на переключение:  [[Ментальное состояние глубокой разработки программного обеспечения и глубокого исследовательского мышления являются взаимоисключающими]]

Подробнее об этих совместных работах:

* [[Глубокое сотрудничество между производителями и пользователями инструментов может способствовать пониманию посредством создания]]
* [[Сотрудничество между производителями инструментов и пользователями инструментов лучше всего повторяется через последовательность различных проектов]]
* [[Сотрудничество между производителями и пользователями инструментов зависит от создания эффективных «арсеналов» идей инструментов]]
[[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]]. Это поднимает планку для любой группы, надеющейся исследовать идеи, связанные с [[Инструменты для размышления]]: у вас должны быть не только возможности для концептуального развития идеи, но также дизайн и технические возможности для разработки прототипов до такой степени, что их можно будет использовать в качестве серьезных инструментов. для серьезной работы. Только в этот момент вы сможете ясно увидеть, как ваши идеи преломляются в процессе использования системы, т.е. [[Insight через создание]].

Академическим лабораториям обычно не хватает такой возможности: [[Академические программные интерфейсы обычно не подходят для серьезного использования широкой аудиторией]].

Похоже, что открыты только два пути:

# [[Глубокое сотрудничество между производителями и пользователями инструментов может способствовать пониманию посредством создания]]
# Изучение инструментов для размышления в одном из контекстов серьезного использования ([[Великие производители инструментов часто не являются отличными пользователями инструментов, и наоборот]]).
Эта модель памяти предполагает, что распад памяти с течением времени можно точно описать двумя параметрами: {восстанавливаемость} и {стабильность}.

Извлекаемость определяется как {вероятность того, что человек вспомнит факт по прошествии определенного периода времени}. Стабильность определяется как {долговечность памяти: как долго она прослужит, если не будет извлечена}. Их отношение приблизительно равно { R ∝ exp(-t / S)}.

Стабильность увеличивается с каждым просмотром, так что возможность извлечения падает медленнее с каждым повтором (см. [[Эффект интервала]]). Извлечение, по-видимому, больше повышает стабильность, когда извлекаемость низкая: то есть, [[Менее доступные воспоминания более подкрепляются извлечением]] (см. также [[Желательные трудности, после Бьорк]]). [[Supermemo пытается охарактеризовать эту взаимосвязь с помощью экспоненциальной кривой]], но сложность модели достаточно высока, и я скептически отношусь к ней.

Эта модель объясняет, почему может быть полезно изучать даже материал, который можно успешно вспомнить («повторное обучение»): даже когда сила извлечения относительно высока, исследование может увеличить прочность хранения, что уменьшит последующее снижение прочности извлечения ([[Роберт А. Бьорк]] и Бьорк, 1992).

При практическом использовании в качестве части [[§Система интервального повторения]], как правило, должен быть введен третий параметр для сложности элемента, поскольку элементы SRS обычно не являются атомарными с точки зрения нашего мозга.

[[Петр Возняк]] использует в своем анализе извлекаемость и стабильность; Роберт А. Бьорк и Бьорк (1992) называют аналогичную пару параметров «сила извлечения» и «сила памяти» соответственно.

Q. Выразите аналитически компонент устойчивости двухкомпонентной модели памяти.
A. Стабильность - это временной интервал, в течение которого восстанавливаемость превышает некоторый порог, например 90%.

!!!References
[[Two component model of memory - supermemo.guru|https://supermemo.guru/wiki/Two_component_model_of_memory]]

Bjork, R. A., & Bjork, E. L. (1992). A new theory of disuse and an old theory of stimulus fluctuation. In A. F. Healy, S. M. Kosslyn, & R. M. Shiffrin (Eds.), Essays in honor of William K. Estes, Vol. 1. From learning theory to connectionist theory; Vol. 2. From learning processes to cognitive processes (p. 35–67). Lawrence Erlbaum Associates, Inc.
«Дескрипторы» (concept handle) - это запоминающаяся именная фраза, представляющая сложную, часто абстрактную тему. Например: «дилемма заключенного», «окно Овертона», «вера в веру» и т. Д. В моем собственном сочинении примеры включают в себя [[Благоприятная (стимулирующая) среда]], [[Реализованный опыт]] и т.д. [[Скотт Александр]].

Удачная обработка концепций может действительно усилить расплывчатую идею, которую многие люди вроде бы понимают, но не могут указать и о которой говорить. Если дать этому расплывчатому понятию четкое, запоминающееся название, вы сможете разблокировать много разговоров и размышлений. После Александра:

::Я вряд ли открою для себя какое-нибудь совершенно новое социальное явление, о котором раньше никто не думал. Но есть много вещей, о которых люди имеют смутные туманные представления, которые они не могут выразить словами. Превратить их в [[кристально чистые идеи|https://slatestarcodex.com/2014/03/15/can-it-be-wrong-to-crystallize-patterns/]], которыми они могут манипулировать и обсуждать с другими, - это большое дело.

Если вы придумываете что-то интересное и очень кратко вбиваете это в чью-нибудь голову, не тратьте это зря! Дайте ему красивую концепцию-дескриптор, чтобы они запомнили его и могли использовать для решения других проблем!

Один из способов представить себе дескрипторы концепций - это «API для концепций». В этом смысле идея связана с моими представлениями о [[Заголовки вечнозеленых заметок похожи на API]].

"""

Q. Каков пример концептуального дескриптора?
А. (дилемма заключенного, разыгранный опыт и т.д.)

Q. Какова причина важности дескрипторов концепций, связанных с сетевым интеллектом?
A. Они позволяют людям координировать обсуждение идеи, которая ранее была туманной.
"""

!!!References

https://slatestarcodex.com/2016/02/20/writing-advice/
Когда вы впервые осваиваете новый навык или концепцию, важно разбить её на части, чтобы вы могли сделать твёрдый первый шаг. К сожалению, этот процесс факторинга сам по себе довольно утомителен, что может повлиять на материал объектного уровня. Если концепции достаточно чужды, возможно, вы вообще не сможете их разбить.

Детализированная последовательность задач, предоставляемая экспертом, может помочь в создании [[Когнитивный каркас]]. Например, если вы хотите научиться программировать, эксперт может предложить вам сначала скопировать программу обработки, которая говорит «Привет, Боб!», А затем вы можете изменить программу, чтобы напечатать свое имя вместо «Боб». Затем они могут представить вам три разные следующие программы для копирования и ремикса: например, анимация текста на экране, многократная печать сообщения с использованием цвета. И так далее…

Дизайнеры игр особенно хороши в этом (Кук, 2007). The Witness - отличный пример: каждая головоломка раскрывает один крошечный новый элемент незнакомого навыка. Более поздние головоломки вводят комбинации этих навыков постепенно, пока, наконец, вы не обнаружите, что замысловато сплетает дюжину различных новых механик творческими способами.

Ограничения - это один из способов построения этих прогрессий ([[Ограничения как когнитивные опоры]]).

!!!References

[[Cook, D. (2007, July 19). The Chemistry of Game Design. Gamasutra. Retrieved from|https://www.gamasutra.com/view/feature/129948/thechemistryofgamedesign.php]]

Thekla, Inc. (2016). The Witness. Berkeley, CA.
«Детальное кодирование» описывает, что мы делаем, когда связываем знания с существующими воспоминаниями или опытом. Считается, что установление этих связей улучшает запоминание, особенно когда устанавливаются связи с особо отличительными и эмоционально связанными целями.

Чаще всего он используется в мнемонических методах, когда люди могут запоминать числа, связывая их со знаменитостями, местами, запахами и т. д.

Некоторые пользователи [[§Система интервального повторения]] явно пишут подсказки, чтобы продвигать детальное кодирование. Эксперименты Karpicke и Smith (2012) показывают, что это может не сильно добавить, по сравнению с одной только поисковой практикой. Связанный: [[Практика поиска оказывается более эффективной учебной деятельностью, чем сложное кодирование]]

!!!Обратные ссылки

* [[Вечнозеленые заметки должны быть тесно связаны]]
** Если мы заставляем себя добавлять много ссылок между нашими заметками, это заставляет нас широко задуматься о том, какие другие концепции могут быть связаны с тем, о чем мы думаем. Это заставляет тщательно обдумать, как идеи соотносятся друг с другом (см. [[Понимание требует активного вовлечения]], а [[Вечнозеленые заметки должны быть концептуальными]]. Это также поможет вам глубже усвоить идеи с помощью подробного кодирования.

* [[Эффект тестирования]]
** Это также, по-видимому, приводит к более прочной памяти (Karpicke and Smith, 2012) и повышению эффективности обучения в целом (Karpicke and Blunt, 2011) по сравнению с практикой, основанной только на детальном кодировании.

* [[Подсказки с интервалом повторения в памяти должны связывать и связывать идеи]].
** При использовании [[§Система интервального повторения]] для изучения фактов наивный подход приводит к изучению множества фактов изолированно: названия белка, даты события, размера физической константы. Но поскольку [[Богатое понимание - это связь]], лучше связать эти факты с другими идеями. Это не только поможет вам запоминать более надежно (благодаря [[Детальное кодирование]]), но и поможет вам развить более глубокое понимание, выходящее за рамки простых фактов.

* [[Эвристика ответа эксперта, after Issa Rice]]
** Когда подсказка не проходит эту эвристику, она обычно кодирует интерпретацию, обрамление, пример, формулировку и т. д., зависящую от автора. Это часто бывает полезно, особенно как своего рода [[Детальное кодирование]] или способ культивирования эмоционального интереса. Но это также может вызвать узкое понимание. В случае общих подсказок или мнемонической среды такие подсказки могут приводить к разочаровывающим ложным отрицаниям, поскольку они просят читателей узнать, как конкретный источник представляет материал: [[Читатели мнемонического носителя иногда чувствуют затруднения из-за выбора авторами формулировок]].

* Написание собственных подсказок для интервального повторения, кажется, способствует пониманию
** Связано: [[Эффект генерации]], [[Детальное кодирование]]

*[[Богатое понимание - это связь]]
** Отчасти это касается [[Детальное кодирование]]

Лучшее понимание [[Эффект тестирования]] и [[Эффект генерации]], читать кучу бумаг вокруг этого. Постепенно лучшее понимание сложного кодирования . Хорошая обзорная статья:
Karpicke, J. D., & Blunt, J. R. (2011). Retrieval Practice Produces More Learning than Elaborative Studying with Concept Mapping. Science, 331(6018), 772–775. https://doi.org/10.1126/science.1199327
Эксперимент, сравнивающий отображение концепций (вызывающее [[Детальное кодирование]]) и практику поиска (вызывающее [[Эффект тестирования]]) в памяти. Как и Карпике и Смит (2012), эта статья также интересуется тем, связаны ли эффекты поисковой практики с детальным кодированием или же происходит какой-то другой процесс.

Производится ли эффект тестирования за счет подробного кодирования ? Когда вы просматриваете подсказки в [[§Система интервального повторения]], вы даете себе возможность сформировать новые связи на основе вашего текущего контекста и различных мыслей, которые у вас возникают во время сеанса просмотра.
TODO: Мы должны сформулировать аналогичную цель для учебника

При разработке [[Благоприятная (стимулирующая) среда]] возникает соблазн сосредоточиться на навыках или понимании, которые развиваются или расширяются. Такой подход обычно подрывает его собственные цели. Наиболее успешные благоприятные условия включают деятельность, которая в первую очередь связана с теми навыками или пониманием, которые необходимы. (См. [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]], [[Благоприятная среда сосредоточена на том, что включено]]).

[[Внутренне-модулированное обучение самоактуализируется; внешне-модулированное обучение самоотрекается]]. Без внутренне значимой цели действия будут в первую очередь мотивированы и модулированы силами, внешними по отношению к вовлеченным лицам.

[[Глубокое понимание требует (и является результатом) интенсивной личной связи]]. Без внутренне значимой цели такая связь маловероятна.

Для авторов недостаточно иметь какой-то внутренне значимый мотив для создания действий, и недостаточно, чтобы одни участники находили действия внутренне значимыми. Авторские действия должны иметь внутренне значимую цель как для автора, так и для участника. В идеале эти цели совпадают: [[Авторская среда значительно окрашена мотивами авторов]].

Например, Mathematica может содержать [[Cognitive scaffolding]], но ее деятельность в основном связана с математикой и естественными науками. [[Игры эффективно развивают навыки игроков]], но [[Развитие навыков в играх подчинено другим внутренне значимым целям]].

Образовательная среда может в конечном итоге стремиться к действительно значимым целям, таким как поддержка вашей семьи или присоединение к профессиональному сообществу. Эти высокоуровневые цели часто не отражаются на практическом опыте в окружающей среде. [[Некоторые «образовательные» мероприятия преследуют по своей сути значимые цели]], но в большинстве случаев их деятельность в первую очередь направлена ​​на развитие навыков, что редко имеет внутреннее значение ([[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]]). 
Подробнее: [[Цели обучения часто подрывают себя]].

::Конечно, в каком-то смысле я очень влюблен в такие цели, как «предоставление людям возможности» ... Но я также очень подозрительно отношусь к таким целям. Я думаю, что> 99,9% времени они в конечном итоге покровительствуют. Единственное, что я знаю, что постоянно уходит от этого паттерна неудач, - это сделать основной целью что-то другое, что-то, что по сути важно. Например, если вы запустите программу Apollo, вы наверняка дадите людям возможность. Но это будет второстепенно по сравнению с полетом на Луну. Если вы создадите Mathematica, вы наверняка поможете людям. Но это будет вторично по сравнению с умопомрачительной математикой / теоретической физикой…

Задача Стэнфордского университета в Уставе сформулирована как «воспитание в учащихся качеств, необходимых для успешного будущего, полезных и применимых в жизни», а цель – «содействие общественному благоденствию путем влияния на умы в интересах человечества и цивилизации». А не обучение философии/физике/химии...
Есть предел тому, насколько точно люди могут определить абсолютную величину одномерного стимула. Например, скажем, я отмечаю точку на числовой линии, которая имеет только метки 0 и 100. Затем я прошу вас оценить числовое положение отмеченной точки. Насколько хорошо ваш ответ коррелирует с истинной позицией?

Другими словами, сколько категорий вы можете надежно различить? Если бы я мог выбрать любое число от 0 до 100, вы, вероятно, не ожидали бы такой точности, но если бы я мог выбрать только 20, 40, 60 и 80, ваши ответы, вероятно, идеально коррелировали бы. Мы могли бы постепенно увеличивать количество возможных вариантов, чтобы найти точку, в которой люди не смогут достоверно различить какие-либо дополнительные категории. И мы можем повторить тот же эксперимент для других стимулов, таких как громкость звука или высота звука, концентрация солевого раствора или оттенки цвета.

{Миллер} (1956) называет этот порог диапазоном абсолютного суждения, и его обзор литературы показывает, что его значение составляет около {семи} с удивительно небольшими вариациями в зависимости от типа стимула.

Эта величина важна, потому что она представляет собой фундаментальное ограничение для обработки информации человеком: [[Пропускная способность человека как обработчика информации]].

…Кажется, что в нас заложены некоторые ограничения, обусловленные обучением или конструкцией нашей нервной системы, предел, который удерживает наши возможности каналов в этом общем диапазоне. На основании имеющихся данных можно с уверенностью сказать, что мы обладаем конечной и довольно небольшой способностью делать такие одномерные суждения и что эта способность не сильно меняется от одного простого сенсорного атрибута к другому...

"""
Q. Какие типы раздражителей описывает диапазон абсолютного суждения Миллера?
А. Одномерные величины

Q. Каков примерный порядок изменения диапазона абсолютного суждения?
А. 10^0

Q. Приведите пример эксперимента, который можно было бы провести, чтобы определить диапазон абсолютного суждения человека для некоторого стимула.
А. Присвоение чисел солевым концентрациям, размерам форм, наклонам линий и т. д.

Q. Люди могут надежно дискриминировать стимул (например, концентрацию солей) только примерно на 7 различных одномерных величин. Как Миллер (1956) называет это ограничение?
A. Промежуток абсолютного суждения
"""

---

!!!References
Миллер, Дж. А. (1956). Магическое число семь, плюс или минус два: Некоторые ограничения нашей способности обрабатывать информацию. Психологический обзор, 63(2), 81–97.  [https://doi.org/10.1037/h0043158 ](https://doi.org/10.1037/h0043158) [[Миллер - Волшебное число семь, плюс или минус два]]
[[Мнемоническая среда]] предназначена для облегчения ответов на запросы.

* ''Крошечные задачи'': подсказки хорошего отзыва в тесте [[§Система интервального повторения]] - это всего лишь одна вещь, поэтому на них можно довольно быстро ответить. Среднее время рассмотрения запроса Quantum Country составляет 6 секунд (по состоянию на 2019/12 год).

* ''Маркировка одним касанием'': поскольку подсказки оцениваются самостоятельно, само взаимодействие довольно легкое: всего одно касание. Нет необходимости в точном нацеливании: каждая кнопка закрывает половину экрана. См.также [[Системы интервального повторения с самооценкой более эффективны, чем аналогичные системы с машинной оценкой]].

* ''Чтение без взаимодействия'': вопросы и ответы достаточно короткие, чтобы их можно было читать без прокрутки, что гарантирует, что единственное необходимое взаимодействие - это выявление и отметка ответов. Это также означает, что в переживании чтения вопроса нет состояния.

* ''Стабильность'': расположение подсказок и области просмотра фиксировано, а соседние подсказки укладываются по оси z, а не по вертикали. Таким образом, после ответа на каждое приглашение следующее появляется в том же месте на экране. Пользователю не нужно «находить» начальную точку для следующего вопроса или ответа подсказки, потому что они всегда находятся в одном и том же абсолютном положении.
** Точно так же читателям не нужно «перенаправлять» свою мышь или палец с подсказки на подсказку, потому что кнопки всегда находятся в одном и том же абсолютном положении.
** Подсказки не меняют свой макет на разных устройствах.

* ''Терпимость'': большинство читателей не заботятся обо всех подсказках. Если бы подсказки были весомыми, как упражнение из учебника, многие читатели выбирали бы и выбирали, принимая сознательное решение о том, отвечать ли на каждую подсказку. Это дополнительное решение делает каждое приглашение еще тяжелее! Но если на подсказки довольно дешево ответить, то несколько неинтересных подсказок не так обременительны. Некоторые читатели могут пожелать «отказаться» от определенных запросов, но можно предположить, что читатели ответят на каждое приглашение как строгое значение по умолчанию.

!!!Легкие подсказки важны для всестороннего охвата
Если читатели должны помнить весь ключевой материал мнемонического текста, авторы должны включать много подсказок (например, QCVC имеет 112 подсказок и 20 тысяч слов). По мере того, как подсказки становятся легче, читатели будут терпеть их большее количество при определенном уровне интереса или времени. Если каждое приглашение занимает 6 секунд, мы можем добавить 112 подсказок в QCVC за примерно 10 минут - неплохо, поскольку большинству читателей требуется 3-4 часа, чтобы закончить это эссе.

Если мы будем рассматривать только время чтения в эссе, было бы не так уж плохо, если бы на подсказки требовалось вдвое больше времени, чтобы ответить. 20 минут вместо 10 минут в контексте 3-4 часов чтения не кажутся очень существенными. Но эффективность (или неэффективность) увеличивается. Большинству читателей требуется 5-7 повторений для достижения многомесячного удержания, поэтому при 6 секундах на подсказку мы можем ожидать, что сохранение этих 112 подсказок «стоит» около 90 минут в последующие месяцы. Удвоение этого числа было бы серьезным бременем. (См. [[Мнемонические эссе могут предлагать подробное сохранение их содержания в обмен на 35-50% дополнительных затрат времени на чтение]])

!!!Легкие подсказки можно чередовать более регулярно

В учебниках традиционно есть разделы с упражнениями, но эти задачи часто довольно сложны. Они могут потребовать дополнительных размышлений или пера и бумаги - в любом случае, значительного переключения контекста в сторону от чтения. Вы бы не хотели рассматривать этот контекстный переключатель каждые несколько абзацев.

Но поскольку вопросы мнемонической среды легковесны, мы можем чередовать их через каждые несколько сотен слов в [[Quantum Country]]. Мы были обеспокоены тем, что это может помешать чтению, поэтому мы подробно опросили читателей о своевременности. Ни один из читателей не сообщил, что эти наборы для обзора раздражают или раздражают. Вместо этого многие добровольно заявили, что им нравится, как регулярно появляются подсказки, потому что регулярные подсказки заставляют их чувствовать себя «в безопасности» и поддерживают их при чтении. См. [[Дополнительные сведения в текстовых подсказках мнемонической среды, которые могут поддерживать активное чтение]].

TODO Мы многого не понимаем в этом: [Как следует размещать наборы мнемонических обзоров?]
[[Трудно написать хорошие подсказки для интервального повторения]], но вот одна полезная ментальная модель. Когда вы делаете запрос для [[§Система интервального повторения]], вы даете себе //в будущем повторяющуюся задачу//. Оперативный дизайн - это дизайн задачи.

Поэтому, если вы пишете подсказки, чтобы помочь усвоить определенную идею, вы должны разработать задачи, которые укрепят ваше понимание этой идеи при их выполнении. Если вы пишете подсказки для поддержки творческой работы, вы должны разработать задачи, которые заставят вас замечать возможности или связи и так далее.

!!!«Захват» идеи с помощью интервалов повторения - это как перевод

Этот процесс удивительно похож на перевод текста с одного языка на другой. При переводе отрывка вы ищете слова, которые при чтении загораются в сознании читателей такими же лампочками, как те, которые могли быть активированы исходным языком. Это не механическая операция. Если отрывок включает намек, метафору или юмор, вы не переведете буквально; вы попытаетесь найти слова, которые воссоздают ощущение чтения оригинала для представителя иностранной культуры.

При написании подсказок SRS, которые помогут вам усвоить идею, вы выполняете нечто похожее на языковой перевод: при выполнении каких задач требуется зажигание лампочек, которые активируются, когда эта идея «полностью загружена» в ваш разум?

Как нам разработать такую ​​задачу? Если идея довольно проста, можно сразу придумать задачу, которая надежно освещает все эти лампочки. Но когда у идеи слишком много важных аспектов, трудно разработать задачу, которая надежно стимулирует все эти элементы. Поэтому лучше всего разбивать концепции на их простейшие единицы: [[Запоминания с интервалом повторения обычно должны фокусироваться на одной атомарной единице]].
Живя в Калифорнии, у нас так много прекрасных дней. Было бы так приятно проводить много времени на улице, но компьютерные дисплеи с подсветкой просто не работают в этом контексте.

Мне не нужна вся рабочая станция: я был бы счастлив, если бы мог выполнять даже простые задачи, такие как чтение и запись документов на улице. Конечно, можно использовать физические документы, но это исключает компьютерное мышление|https://notes.andymatuschak.org/z26R7quP3Mz4UCg7EFacraYkfQqNhuEnms3Yy.

Дисплеи с электронными чернилами - прекрасная альтернатива, но они еще не использовались для серьезного решения этой проблемы. Даже если рассматривать его только как устройство для чтения, Kindle работает ужасно; см .: [[Читать тексты на компьютере неприятно]]. reMarkable|https://notes.andymatuschak.org/zvWMA33xBXRJwWSh9W2roUQtiLMJTH7qCCd7 - одна из многообещающих (но в конечном итоге неудачных) попыток.

Dasung Paperlike выглядит многообещающим: он подключается к компьютеру через HDMI / USB и работает как вход для внешнего дигитайзера. Это довольно дорого - 1100 долларов.
[[Системы памяти с интервалом повторения делают выбор в пользу памяти]], но сохранение не имеет ценности само по себе. Память ценна постольку, поскольку помогает людям делать то, что придает смысл их жизни: [[Инструменты для размышления следует оценивать в контексте действительно значимых целей]] . К сожалению, доминирующая культура систем памяти сильно отклоняется в сторону памяти как таковой.

Если вы потратите время на / r / anki, вы увидите, как люди обмениваются советами о том, как запомнить все столицы Африки или всех президентов США, как если бы они учились выполнять трюки для вечеринок. Эти люди часто скрупулезно озабочены производительностью и эффективностью систем памяти - оптимизацией ради нее самой и обслуживанием памяти ради нее самой.

Вы также увидите людей, которые пытаются запоминать каждую деталь всего, что они читают («на всякий случай»), но без серьезного взаимодействия с текстами каким-либо другим способом. Складывается ощущение, что они боятся когда-либо «потерять» что-либо (напротив, [[Сбор материала для заметок без его переработки - не эффективен]]). Эта навязчивая идея также движет большей частью культуры системы записи заметок, восходящей к Теду Нельсону.

Это опасно для моей работы. Я не хочу служить или расширять эту культуру. Ранние последователи моей работы часто происходят из этой культуры. Я должен быть осторожен, чтобы отфильтровать то, что они говорят, через эту линзу. [[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]]. Время, потраченное на осознанную практику с системой памяти, полезно, поскольку оно устраняет препятствия для выполнения чего-то действительно значимого. [[Важнейшим моментом для оптимизации систем памяти с интервальным повторением является эмоциональная связь с сеансом обзора и его содержанием]].

Существенным исключением из этого наблюдения является сообщество студентов-медиков, использующих системы памяти для ускорения учебы. Конечно, многие (большинство?) Из них рассматривают это как способ помочь им пройти трудное испытание, а не как способ, скажем, улучшить уход за пациентами. Но это шаг в правильном направлении.
Еще одно существенное исключение можно найти в сообществах изучающих язык. Многие из этих людей используют системы памяти, чтобы помочь им глубже погрузиться в новую культуру, которая имеет для них большое значение. Конечно, многие, скажем, запоминают 10 000 иероглифов только потому, что это кажется забавным испытанием или чем-то, что им «следует» сделать.
См. Также: [[Каково общее влияние мнемонической среды на читателей?]]
Подсказки в [[Мнемоническая среда]] помогают читателям запомнить то, что они читают, но, похоже, мы пока хорошо не понимаем другие эффекты.

* В частности, поскольку читателей просят сделать что-то с тем, что они только что выучили (в частности, через подсказки приложения: [[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]]), эти подсказки создают слабый вид [[Среда участия]]: [[Среда участия поддерживает обучение]].
* Может возникнуть поведенческий эффект: [[Мнемоническая среда может подтолкнуть читателей к более медленному и внимательному чтению]].
* Кажется, есть эмоциональный эффект: читатели чувствуют себя «в большей безопасности», зная, что они проверят свое понимание
** Мэтт Клэнси, учитель экономики в штате Айова, построил систему, вдохновленную QC, и сообщил то же самое от своих учеников: «им понравилась возможность смотреть видео, и они были уверены, что получили то, что должны были получить, так как вопросы следовали сразу после".
Берегись! Слишком легко позволить чужой схеме и идеям доминировать над своими собственными.

Чтении по умолчанию позволяет автору думать за вас. 
Per Schopenhauer:
Когда мы читаем, кто-то другой думает за нас: мы просто повторяем его мыслительный процесс.…

Соответственно, при чтении мы, по большей части, освобождаемся от работы мышления. … Из этого вытекает тот, кто читает очень много и почти весь день, а в перерывах восстанавливается бездумным времяпрепровождением, постепенно теряет способность мыслить самостоятельно - как тот, кто всегда ездит, забывает в конце концов, как ходить. Но так обстоит дело со многими учеными: они считали себя глупыми. Ибо постоянное чтение, которое сразу же возвращается в каждую свободную минуту, парализует еще больше, чем постоянный физический труд, поскольку в последнем мы все еще можем размышлять о наших собственных мыслях. Но точно так же, как спиральная пружина в конце концов теряет свою эластичность из-за длительного давления инородного тела, так и разум из-за постоянной силы мыслей других людей.

Это плохо с эпистемологической точки зрения, но особенно плохо для достижения нового понимания. Как вы можете думать о мыслях, о которых никогда не думали раньше, если полагаетесь на мышление других?

Per Kant:
Просветление - это выход человека из собственного меньшинства. Меньшинство - это неспособность использовать собственное понимание без указания другого. Это меньшинство само по себе, когда его причина не в непонимании, а в отсутствии решимости и смелости использовать его без указаний другого. Sapere aude! Не бойтесь быть мудрыми!

Одно ключевое противоядие:  [[Пишите о том, что вы читаете]] 

!!!Ссылки
Kant, I. (1996). An answer to the question: What is enlightenment? In A. Wood (Ed.), & M. J. Gregor (Trans.), Practical philosophy (pp. 11–22). https://doi.org/10.1017/CBO9780511813306.005 (Original work published 1784)

Schopenhauer, A. (2015). On reading and books. In C. Janaway (Ed.), & A. Del Caro (Trans.), Parerga and Paralipomena: Short Philosophical Essays (Vol. 2). https://doi.org/10.1017/CBO9781139016889 (Original work published 1851)

Stop Relying on a Source and Have Faith in Your own Thoughts • Zettelkasten Method

I had believed that texts contain information, and that it was my job to make the information accessible.

Ralph Waldo Emerson, “Self-Reliance” (via Nielsen, M. A. (2003, September 8). Extreme thinking. Tough Learning, Brisbane, Australia.):

It is easy {in the world to live after the world’s opinion}; it is easy {in solitude to live after our own}; but the great man is he who {in the midst of the crowd} keeps {with perfect sweetness} {the independence of solitude}.

[[[Do your own thinking]|https://notes.andymatuschak.org/z4enRPbLXdD8X8hCfVjaRkcGkronvhcfrgSQw]]
См. [[Запросы памяти с интервалом повторения должны быть написаны, чтобы препятствовать поверхностному «сопоставлению с образцом»]].

Возможно, через время отклика?

!!!References

Как мы можем гарантировать, что пользователи не просто узнают поверхностные особенности вопросов? Один вопрос в Quantum Country: «Кто добился прогресса в использовании квантовых компьютеров для моделирования квантовой теории поля?» с ответом: «Джон Прескилл и его сотрудники». Это единственный вопрос «Кто…?» Вопрос во всем эссе, и многие пользователи быстро учатся узнавать его по одному «Кто…?» шаблон и попугай ответ, не углубляясь в вопрос. Это распространенный вид сбоя в системах памяти, и его невозможно понять. Один из ответов, который мы планируем в ближайшее время опробовать, - это представить вопрос в нескольких различных, но эквивалентных формах. Таким образом, пользователь сначала видит вопрос как «Кто добился прогресса и т. Д. ?»; но затем во второй раз вопрос представляется как заполнение пропусков: « _  и его сотрудники добились прогресса в использовании квантовых компьютеров для моделирования квантовой теории поля». И так далее, множество различных форм вопроса, разработанных таким образом, чтобы пользователь всегда был глубоко погружен в смысл вопроса, а не на его внешний вид. 

''TODO'' В конечном счете, мы хотели бы ''разработать библиотеку методов ''для определения того, когда возникает этот паттерн изучения поверхностных особенностей, и для его исправления.
Учебные мероприятия часто можно сделать более эффективными, создав трудности.

Некоторые примеры, которые Роберт А. Бьорк (1994) приводит как улучшающие долгосрочные результаты экспериментов:

* Перемешивание разнородных задач вместо группировки повторов по типу задачи
* Изменение параметров задачи
* Изменение экологического контекста учебных занятий
* Создание «контекстной интерференции», требующей большего внимания: например, путем предоставления ресурсов, которые различаются по структурной организации
* Уменьшение частоты обратной связи (например, путем предоставления совокупной обратной связи каждые N испытаний или путем уменьшения частоты обратной связи с течением времени)

Одна неизменная тема всех этих манипуляций заключается в том, что они снижают производительность во время самой тренировки, но дают лучшие долгосрочные результаты. Этот поворот, вероятно, затрудняет применение некоторых из этих манипуляций в учебной деятельности, поскольку они заставят учащихся почувствовать, что они тоже не учатся. например (Бьорк, снова 1994):

Такой процесс кондиционирования со временем может подтолкнуть тренера к манипуляциям, которые увеличивают скорость правильного реагирования, что, так сказать, облегчает жизнь обучаемого. Это, конечно, уведет преподавателя от введения типов желаемых трудностей, описанных в предыдущем разделе.

Хуже того, могут существовать сложные институциональные барьеры: инструкторов можно оценивать по немедленным (а не долгосрочным) результатам; или у них может не быть возможности наблюдать за долгосрочными показателями.

Помимо этого краткосрочного переворота, ученики могут избегать «желаемых трудностей», потому что они верят, что их память / понимание сильнее, чем они есть на самом деле. Бьорк предполагает, что «обучение часто бывает неоптимальным, потому что оно не учитывает изменчивость, задержки, неопределенности и другие проблемы, с которыми, как ожидается, ученик может столкнуться в реальной рабочей обстановке того или иного рода» (см. Также [[Трансферное обучение]]).

"""
Q. Какое противоречивое влияние на выполнение тренировочных заданий оказывает повышенная сложность?
A. Обычно это снижает производительность во время тренировки, но улучшает ее в долгосрочной перспективе.

Q. Почему учащиеся могут поверить в то, что введение трудностей в практические занятия ухудшает их обучение?
A. Дополнительные трудности часто ухудшают производительность во время тренировки (увеличивая при этом долгосрочную результативность).

Q. Почему тренеры могут быть институционально лишены стимулов к добавлению желаемых трудностей в тренировочную деятельность?
A. Их можно оценить по краткосрочным показателям студентов.

Q. Почему тренеры могут быть не в состоянии увидеть долгосрочное влияние трудностей, добавленных к тренировочным упражнениям?
A. График обучения может быть слишком коротким, чтобы увидеть улучшения, которые могут возникнуть в результате более сложных тренировок. С другой стороны, они могут никогда не увидеть реальных результатов своих учеников.
"""

!!!References
Bjork, R. A. (1994). Memory and Metamemory Considerations in the Training of Human Beings. In J. Metcalfe & A. Shimamura (Eds.), Metacognition: Knowing about Knowing (pp. 185–205). MIT Press.

!!!Back links

* [[Эффект тестирования]]
** Практика поиска приводит к более прочной долговременной памяти, чем просто изучение материала, например, путем повторного чтения материала, несмотря на то, что студенты будут менее успешными во время самой практики (Roediger, 2006). Похожее:  [[Желательные трудности, после Бьорк]].

* [[Трансферное обучение]] 
** См. также  [[Желательные трудности, после Бьорк]] 
*  [[Системы памяти с интервальным повторением заставляют вас чувствовать, что ваша память хуже, чем она есть на самом деле]] 
** См. также [[Желательные трудности, после Бьорк]] 
	
*  [[Двухкомпонентная модель памяти]] 
** Стабильность увеличивается с каждым просмотром, так что возможность извлечения падает медленнее с каждым повторением (см.  [[Эффект интервала]]). Извлечение, по-видимому, повышает стабильность больше, когда извлекаемость низкая: то есть [[Менее доступные воспоминания более подкрепляются извлечением]] (см. также [[Желательные трудности, после Бьорк]], [[Supermemo]] [пытается охарактеризовать эту взаимосвязь с помощью экспоненциальной кривой](https://supermemo.guru/wiki/Spacing_effect_gain), но сложность модели достаточно высока, поэтому я скептически отношусь к ней.
*  [[Запоминания с интервалом повторения должны гарантировать, что рецензенты должны извлекать ответы из памяти]] 
* Kang, S. H. K., McDermott, K. B., & Roediger, H. L. (2007). Test format and corrective feedback modify the effect of testing on long-term retention. European Journal of Cognitive Psychology, 19(4–5), 528–558

 [https://doi.org/10.1080/09541440601056620](https://doi.org/10.1080/09541440601056620)
* Или это лучший формат исследования по поиску ([[Желательные трудности, после Бьорк]])? Являются ли дополнительные усилия, затраченные на ответы на короткие вопросы, причиной повышения производительности памяти? Данные, кажется, предполагают такую интерпретацию, поскольку изучение с помощью коротких ответов дало наиболее надежное удержание в любом виде пост-теста.
**Roediger, H. L., & Karpicke, J. D. (2006). The Power of Testing Memory: Basic Research and Implications for Educational Practice. Perspectives on Psychological Science, 1(3), 181–210..
 
[https://doi.org/10.1111/j.1745-6916.2006.00012.x](https://doi.org/10.1111/j.1745-6916.2006.00012.x) ]]
* Различные эксперименты показывают, что увеличение усилий по извлечению улучшает последующее удержание; это говорит о том, что сам процесс поиска и извлечения играет роль в эффекте тестирования. См. также [[Желательные трудности, после Бьорк]].
** [[Slamecka, N. J., & Graf, P. (1978). The generation effect: Delineation of a phenomenon. Journal of Experimental Psychology: Human Learning & Memory, 4(6), 592–604.

[https://doi.org/10.1037/0278-7393.4.6.592](https://doi.org/10.1037/0278-7393.4.6.592) ]]
* В обсуждении авторы отмечают, что преимущество не может быть связано исключительно с аргументом глубины обработки (например, [[Желательные трудности, после Бьорк]]), так как правило рифмы не демонстрирует эффекта менее сильно, чем другие гораздо более сложные правила.
Каждый день я начинаю заметку с датой этого дня, например 2020-03-12. 
Он фиксирует эфемеры в течение дня: отражения, царапины и т. д. 

//Эфеме́ра// — любая временная запись в бумажном или печатном виде, не предназначенная для последующего сохранения или долгосрочного использования. Заметка-однодневка ([[Эфемера wiki|https://ru.wikipedia.org/wiki/%D0%AD%D1%84%D0%B5%D0%BC%D0%B5%D1%80%D0%B0]]).

Это преднамеренная свалка, выпускной клапан, так что всегда есть «место, куда можно положить эту вещь».

В [[Таксономия (cистематика) типов заметок]] это слой с самой низкой точностью воспроизведения, недолговечный по замыслу. Но поскольку мысли о царапинах выглядят так, как будто у них могут быть ноги, они извлекаются в заметку в моем почтовом ящике [[Почтовый ящик для временных и неполных заметок]].
Иногда я использую ежедневный рабочий журнал в качестве места для черчения и могу извлекать разделы примерно как есть в [[Вечнозеленые заметки]].

Для меня важны следующие моменты:
1. Это пространство, куда я могу положить что угодно и не чувствовать трения. [[Закрыть открытые петли]]
2. Я чувствую естественное давление, чтобы извлечь все, что хочет «пережить день» - продвинуться вверх по [[Таксономия (cистематика) типов заметок]].

Поскольку ежедневный рабочий журнал также является живой заметкой, он также функционирует как полезная заглушка для [[Контекстные обратные ссылки]]: [[Обратные ссылки могут быть использованы для неявного определения узлов в системах управления знаниями]].
Когда [[Вечнозеленые заметки]]  размножаются и хорошо названы, эти заголовки становятся абстракцией для самой заметки. На все идеи заметки можно затем ссылаться с помощью этого дескриптора (см. [[Дескрипторы, после Александра]] ). На самом деле, это свойство само по себе функционирует как своего рода лакмус: по мере того, как вы развиваете идеи в заметках с течением времени и улучшаете «API», вы сможете писать отдельные заметки, которые абстрагируются по все более крупным поддеревьям (например,  [[Реализованный опыт имеет невероятный потенциал в качестве массовой среды]] , [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]] .
Некоторые эффективные методы нот «дизайн API»: разделение проблем ( [[Вечнозеленые заметки должны быть атомарными]]), острые заголовки ( [[Предпочитайте заголовки заметок с полными фразами, чтобы обострить утверждение]]) и положительные фрейминги ( [[Предпочитайте положительные названия заметок, чтобы продвигать систематическую теорию]]).
Похожее: [[Основанные претензии, после Цянь и др.]] 
Проблема с закрытием подсказок на удаление была общей темой от отзывов до [[Как писать хорошие подсказки|https://andymatuschak.org/prompts]]. Мне кажется, что люди часто забывали ответы на эти вопросы, но это казалось менее оправданным, чем подсказки вопросов и ответов . Проблемы здесь выходят за рамки проблем с самостоятельно созданными подсказками закрытия ([[Запросы на «заполнение пробела», кажется, дают меньше понимания, чем пары вопрос / ответ в системах памяти с интервальным повторением]]): они специфичны для создания подсказок в [[Мнемоническая среда]].

Многие люди чувствовали, что то, что они забывают, было моей формулировкой, а не какой-то четко определенной экзогенной частью знания ([[Читатели мнемонического носителя иногда чувствуют затруднения из-за выбора авторами формулировок]]). В каком-то смысле это, наверное, правда. Закрытые удаления могут потребовать, чтобы читатели дополнительно запомнили, что задает им вопрос, в большей степени: см. [[Подсказки с интервалом повторения в памяти должны однозначно давать конкретный ответ]] для более подробного обсуждения этой проблемы. Это означает, что запросы закрытия обычно не проходят [[Эвристика ответа эксперта, after Issa Rice]].

Сорен Бьорнстад :

::Теперь некоторые мысли (и вопросы, если есть время) по закрытию удалений. Похоже, что до сих пор у меня возникли особые проблемы с закрывающими удалениями в элементах Орбиты в статье (доля скептицизма: пока что я провел только текст и одну сессию обзора, и у меня нет реальной объективной статистики по моим производительность на картах). Гипотеза:возможно, подсказки других людей особенно плохо передаются при закрытых удалениях при использовании с более расплывчатыми, более концептуальными знаниями, такими как эта статья, поскольку они больше полагаются на формулировку автора, и точные слова, которые я использую, будут больше отличаться от точных слов, которые вы используете, чем наши представления о концепции? Субъективно вопросы вызывают меньше лингвистической обработки, чем закрытие удалений, по крайней мере, для меня - процесс ответа на вопрос больше похож на «мысленно представить вопрос, найти правильную ссылку», в то время как закрытое удаление больше похоже на «найти правильные слова» поставить приговор ».
…
Мне кажется, это точная оценка. И обновленная информация о результатах анализа за месяц или около того: я узнал о многих из них, но те, с которыми у меня по-прежнему возникают проблемы, все попадают в эту категорию.
Задачи, оставленные невыполненными, наблюдения, оставленные незарегистрированными, ответы, которые еще не были написаны - эти водовороты в нашем сознании, как будто мы повторяем их снова и снова, чтобы убедиться, что они не забыты.

Чтобы избавиться от этого
нытье
и создать «разум, подобный воде» (если использовать термин Аллена, 2015), построить системы, которые надежно замыкают эти открытые петли.

Например: для оперативных задач это означает (Allen, 2015):

# Вы должны иметь возможность записывать задачу где угодно
# Вы регулярно сливаете задачи из этого списка
# Вы регулярно делегируете, реорганизуете или удаляете задачи, которым не можете назначить приоритеты.

Взятые вместе, эти свойства гарантируют, что когда вы записываете задачу, вы можете перестать думать о ней. Как демонстрирует большинство систем дел, повсеместного захвата недостаточно. Если вы не просматриваете регулярно свой список задач и не решаете удалить или изменить стратегию оставшихся задач, вы не сможете быть уверены, что будете выполнять задачи, которые записываете.

См. Также Почтовый ящик для чтения, где можно найти полезные ссылки.
Если чтение и написание заметок не преподносят новых Insights, в чем смысл?

Если мы просто хотели что-то запомнить, у нас есть для этого интервальные повторения, с [[Эффект интервала]]. Если бы мы просто хотели полностью понять конкретную идею в каком-то местном контексте, мы бы не беспокоились о сохранении системы заметок с течением времени.

Вот почему у нас есть плотные сети ссылок [[Вечнозеленые заметки должны быть тесно связаны]]: чтобы поиск и их чтение помогало нам видеть неожиданные связи.

::TODO к этому абзацу. Сделать новую заметку про поиск. Поиск - это не только классический поиск по словам, но и построение графов, семантическая подборка через GTR, что еще?::

Вот почему мы считаем, что [[Вечнозеленые заметки должны быть концептуальными]]: чтобы, когда мы пишем об идее, которая кажется новой, мы наткнулись на то, что мы уже писали о ней (возможно, неожиданно) и посмотрели прошлый контекст.
---
!!!Ссылки
Луман, Н. (1992). Общение с ящиками скольжения. В A. Kieserling (Ed.), & M. Kuehn (Trans.), Universität als Milieu: Kleine Schriften (стр. 53–61). Получено с http://luhmann.surge.sh/communicating-with-slip-boxes.

Одна из основных предпосылок общения - это то, что партнеры могут удивлять друг друга. Только так информация может быть произведена в соответствующем другом.

Расширьте свой разум и память с помощью [[Zettelkasten]]
Если вы ищете что-то в своем Zettelkasten, вам нужно получить неожиданные результаты, чтобы сформировать новые мысли. Как я отмечал в своем вводном посте по этой теме [[Zettelkasten для улучшения мышления и письма|https://zettelkasten.de/posts/zettelkasten-improves-thinking-writing/]], здесь ключевой ингредиент - сюрприз. Связи между заметками делают это возможным, поскольку вы будете генерировать новые идеи, отслеживая связи и исследуя часть своей паутины заметок. Невидимые связи обычно более полезны для творческого мышления, чем очевидные, поскольку вызывают большее удивление. В то время как ваш разум обычно продолжает работать с очевидным, ваш Zettelkasten вместо этого показывает вам странное. Это пробуждает ваше воображение и поражает воображение, когда вы сталкиваетесь с неожиданностями.

Кроме того, это открывает возможности объединять мысли на протяжении многих лет, что, в свою очередь, порождает моменты удивления. В конечном итоге это приводит к обнаружению непредвиденных связей и позволяет вам мыслить нестандартно.


[[[Notes should surprise you]|https://notes.andymatuschak.org/z4KZ9973AoHhvM9Pj5Qrds48JXNbMEwVJmVRw]]
Замещение деятельности - это самоуспокаивающие виды деятельности, которые люди (и животные) выполняют, когда они сильно мотивированы на выполнение различных действий, а также когда они не могут или не уверены, что делать дальше. Такое поведение также связано со стрессом и тревогой 

"""
::TODO Современные образовательные  процессы не учитывает ресурсность ученика]]
"""

Например, люди чешут в затылке, когда не знают, какой вариант выбрать. Или они отвечают на срочные электронные письма (или обновляют информацию в социальных сетях), когда они беспокоятся о сложной интеллектуальной работе: см. [[Культурные привычки по умолчанию заполняют свободное время чужими идеями]]. 
Животные склонны ухаживать, прихорашиваться или чесаться в аналогичных ситуациях.

Смотрите также  [[Командная среда позволяет легко обмануть себя действиями по замещению внимания]].

"""

Q. Когда животные занимаются вытеснением?
A. В состоянии стресса или беспокойства; когда не уверены или разрываетесь по поводу дальнейших действий.

Q. Как работники умственного труда проявляют деятельность по вытеснению?
A. Выполнение множества простых срочных задач вместо весьма неопределенных, но важных задач.
"""
[[§Система интервального повторения]] зависит от [[Эффект тестирования]]: вы запомните что-то лучше, если вам действительно нужно извлечь это из памяти, чем если бы вы просто снова столкнулись с этим. Поэтому при написании подсказок убедитесь, что подсказка требует, чтобы читатель действительно извлек памяти информацию, которую вы хотите закрепить у него.

Избегайте «наводящих вопросов» - вопросов, которые подразумевают их собственный ответ, - потому что тогда рецензенты не будут извлекать ответы из памяти. Например, это наводящий вопрос: «В ситуациях человеческого масштаба, как правило, лучше спросить:«Является ли X истинным?» или «В каком смысле X истинен?». Вопрос, очевидно, побуждает вас выбрать последний вариант. Это плохо и по нескольким другим причинам: слишком напористо, слишком уверенно, слишком расплывчато о контексте. Лучшая альтернатива: «Q: Что представляет собой характерный мета-рациональный ответ на вопрос« Является ли X правдой?»; A: «В каком смысле?» ».
Один частый частный случай, на который следует обратить внимание: [[Избегайте повторения подсказок типа «ДА - НЕТ»]].

В более общем смысле, представьте себе интервальное повторение как медленное создание «бороздок» в уме. Когда вы пишете вопросы, вы формируете желобки: вы закрепляете те пути, которые вспыхивают в голове человека, когда он отвечает на вопрос. В этом смысле вопросы истинно / ложно - слабы: они в основном усиливают одну бинарную деталь. Лучше формулировать вопросы, чтобы получить четкое, подробное и конкретное обращение к памяти. Вместо «Что обычно выше: нимбовое облако или кучево-дождевое облако?» Вы можете спросить: «В каких высотных регионах облаков обитают кучево-дождевые облака?» и «Какой тип облака самый большой?»

По теме: [[Желательные трудности, после Бьорк]].
Если вы только что узнали новый способ приготовления гороха, вы можете написать подсказку для [[§Система интервального повторения]], например: «Q. Как приготовить горох су-вид?» «А. 18 мин при 70 ° C». Но я считаю, что такие вопросы обычно вызывают затруднения - я часто забываю ответ. Кажется, что вопросы, основанные на нескольких независимых идеях, не позволяют решить эту проблему.

Почему важно, чтобы вопросы были сосредоточены на одной идее? Майкл Нильсен (2018) предлагает:

:: Я подозреваю, что отчасти дело в сосредоточенности. Когда я делал ошибки с комбинированным вопросом, я часто не понимал, в чем именно была моя ошибка. Это означало, что я недостаточно сосредоточился на ошибке и поэтому не многому научился на своей ошибке. Когда я терплю неудачу с атомарными вопросами, мой разум точно знает, на чем надо сосредоточиться.

Что составляет «одну идею»? Это зависит от вашего предыдущего контекста; «Одна идея», кажется, состоит из одного шага поверх тех знаний, которые вы уже глубоко усвоили. Другой способ взглянуть на это может быть связан с [[«Чанки» в человеческом познании]]: отдельная идея выражается одним «фрагментом», что бы это ни значило для вас.

Исправление в таких случаях простое: разбейте вопрос на несколько более простых вопросов. Затем, возможно, добавьте еще один вопрос, который объединяет эти два более простых вопроса. (Это похоже на возможность для повторения с интервалом и моделирования знаний ). Процесс написания вопросов, сфокусированных именно на одной идее, похоже, помогает мне заострить внимание на ключевых элементах темы (один угол [[Написание собственных подсказок для интервального повторения, кажется, способствует пониманию]]).

Возняк (1999) предоставляет хороший пример (также демонстрирующий, что [[Подсказки с интервалом повторения в памяти должны быть краткими]]):

"""

Неправильно сформулированные знания - сложные и многословные 
Q: Каковы характеристики Мертвого моря?
A: Соленое озеро, расположенное на границе между Израилем и Иорданией. Его береговая линия - самая низкая точка на поверхности Земли, в среднем 396 м ниже уровня моря. Его длина 74 км. Он в семь раз соленее (30% по объему), чем океан. Его плотность держит пловцов на плаву. Только простые организмы могут жить в его соленой воде.

Хорошо сформулированные знания - просто и конкретно. 
Q: Где находится Мертвое море?
A: на границе между Израилем и Иорданией.
Q: Какая самая низкая точка на поверхности Земли?
A: Береговая линия Мертвого моря. В
: На каком среднем уровне находится Мертвое море?
A: 400 метров(ниже уровня моря) В
: Какова длина Мертвого моря?
О: 70 км. В
: Насколько Мертвое море соленее, чем океаны?
A: 7 раз.
Q: Каков объем соли в Мертвом море?
О: 30%. В
: Почему Мертвое море может удерживать пловцов на плаву?
О: из-за высокого содержания соли. 
Q: Почему Мертвое море называют Мертвым?
A: потому что в нем могут жить только простые организмы.
Q: Почему только простые организмы могут жить в Мертвом море?
A: из-за высокого содержания соли

Q. Подсказки SRS обычно должны фокусироваться на одной атомарной единице. Как определяется «одна атомная единица»?
A. Зависит от сложности ваших предварительных знаний. Одна из идей - это простая комбинация уже закодированных фрагментов.

Q. Почему MN считает, что подсказки SRS, ориентированные на более чем одну идею, не работают?
A. Когда вы делаете ошибку в комбинированном вопросе, труднее четко сосредоточиться на том, где именно была ошибка.
"""
Записывать подсказки для «заполнения пробела» (Cloze Deletion - термин из Anki) намного проще: вы можете просто скопировать / вставить некоторый исходный текст и удалить какую-то фразу.  Но я считаю, что подсказки, созданные таким образом, обычно приводят к более поверхностному пониманию.  После нескольких повторений я запомню ответ, но мне часто кажется, что я ищу сопоставление с образцом ([[Запросы памяти с интервалом повторения должны быть написаны, чтобы препятствовать поверхностному «сопоставлению с образцом»]]), вместо того, чтобы глубоко интегрировать идею в мою концептуальную сеть.  Вероятно, это связано с тем, что закрытые удаления обычно содержат много посторонней информации, которую можно использовать в качестве «подсказок».

Другие факторы, которые могут быть задействованы:

* [[Подсказки с интервалом повторения в памяти должны кодировать идеи с разных сторон]], но «заполнения пробела» захватывает идею под одним углом.
* [[Запоминания с интервалом повторения обычно должны фокусироваться на одной атомарной единице]], но «заполнение пробела» обычно представляют собой повествовательную прозу, которая обычно не так сфокусирована.
* [[Написание собственных подсказок для интервального повторения, кажется, способствует пониманию]], а написание «заполнений пробела» требует гораздо меньше усилий.
* [[Подсказки с интервалом повторения в памяти должны быть краткими]], но «заполнение пробела» обычно представляют собой повествовательную прозу, которая включает в себя множество слов, которые не обязательно имеют отношение к специфике подсказки.
* «Заполнение пробела» часто имеют проблемы с двусмысленностью, поскольку они используют синтаксическую структуру, чтобы предложить то, что они спрашивают; см. [[Подсказки с интервалом повторения в памяти должны однозначно давать конкретный ответ]], и [[Подсказки должны четко указывать, какой «формы» ответа они ожидают]].
**Мне не известны какие-либо конкретные доказательства по любому из этих вопросов.**

С другой стороны, «Заполнение пробела» - чрезвычайно эффективный способ создания новых приглашений, и [[Ограничивающим фактором в пропускной способности системы с интервалом повторения является написание достаточного количества хороших подсказок]]. Если вы выбираете между «заполнением пробела» закрытие и вообще ничем - «заполнение пробела» определенно лучше!

Обратите внимание, что эти наблюдения относятся к влиянию запросов на «заполнения пробела» на память. «Заполнения пробелов» могут отлично работать для приложений [[Своевременный текст]], таких как [[Мнемоническая среда удерживает читателей в контакте с материалом с течением времени]]: это теория, на основе которой Readwise делает упор на них.

!!!References

Wozniak, P. (1999, February). [[Effective learning: Twenty rules of formulating knowledge|https://www.supermemo.com/en/archives1990-2015/articles/20rules]]
Одна из проблем, связанных с эффективностью [[§Система интервального повторения]], заключается в том, что иногда пользователи запоминают ответы на вопросы неглубоко, посредством «сопоставления с образцом», а не путем более глубокой интеграции знаний или фактического обдумывания вопроса. Но [[Запоминания с интервалом повторения должны гарантировать, что рецензенты должны извлекать ответы из памяти]].

Например, в QCVC есть только один вопрос типа «кто», то есть тот, который запрашивает имя человека. После нескольких повторений читатели могут узнать, что всякий раз, когда они видят вопрос типа «кто» о квантовых вычислениях, ответ - Джон Прескилл. Но эти поверхностные знания не пригодятся им в настоящей творческой работе.

Один из подходов к решению этой проблемы состоит в построении вариантов вопроса (с одним и тем же ответом), что затрудняет сопоставление с образцом.

Другой, но связанный подход заключается в кодировании информации под разными углами: не просто с разных вопросов с одним и тем же ответом, но с разных пар вопросов / ответов, показывающих, как информация вписывается в более широкий контекст (т.е. [[Подсказки с интервалом повторения в памяти должны связывать и связывать идеи]]). Например, если вы добавите несколько вопросов о специфике того, что обнаружил Джон Прескилл, почему это важно и как его работы соотносятся с другими, его имя будет добавлено к более обширному набору знаний. Возможно, пример Джона Прескилла в QCVC - это «сиротская подсказка» ([[Избегайте сиротских подсказок с повторяющимися интервалами в памяти]]). Такие подсказки кажутся более восприимчивыми к этому явлению; добавление большего количества связей сделало бы его больше не сиротой.

Другой подход состоит в том, чтобы побудить пользователей гибко использовать свои знания в новых контекстах (например, [[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]]). Я не совсем уверен, как вы могли бы сделать это для примера Джона Прескилла, но это могло бы работать лучше для запоминаемых констант.

На собственном опыте я заметил, что более короткие подсказки несколько менее подвержены этой проблеме, возможно, потому, что там меньше деталей для сопоставления с образцом. Это еще одна причина, по которой [[Подсказки с интервалом повторения в памяти должны быть краткими]].

[[Есть ли способ обнаружить подсказки памяти с интервалом повторения, на которые, вероятно, будет дан ответ посредством сопоставления с образцом?]]

"""

Q. Как связь подсказок SRS связана с сопоставлением с образцом?
A. Подсказки с низким уровнем связи (особенно «сироты») с большей вероятностью будут сопоставлены с шаблоном.

Q. Как подсказки приложения могут помочь в сопоставлении с образцом SRS?
A. Они заставляют вас использовать свои знания в новом контексте.

Q. Как длина подсказки SRS связана с сопоставлением с образцом?
A. Более короткие подсказки сложнее сопоставить с образцом.
"""
[[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]], но [[Ответы на запросы приложения не следует извлекать из памяти]]. Наше простое решение состоит в том, что мы каждый раз будем задавать читателям разные вопросы, чтобы читатели всегда определяли ответ заново.

С практической точки зрения вариантов будет всего несколько, поскольку они созданы вручную: [[Варианты подсказок приложения сложно автоматизировать]]. Но поскольку они будут представлены через много недель, читатели вряд ли запомнят ответы.

Мы ориентируемся примерно на 5 вариантов для каждого запроса, но реализации должны поддерживать подсчет переменных вариаций.

"""

Q. Что произойдет, если вопрос, задаваемый в приглашении приложения на мнемоническом носителе, не меняется от сеанса к сеансу?
A. Запрос приложения превращается в запрос отзыва.
"""

!!!Рекомендации

::Учитывая все это, я склонен (а) написать таргетинг на 5 вариантов; (б) спроектировать его так, чтобы количество вариаций могло быть переменным. Так, например, если иногда я становлюсь ленивым и использую только 3 или 4 варианта, это нормально. Но если я иногда вдохновляюсь и пишу 8, это тоже должно быть хорошо.

https://notes.andymatuschak.org/z7hqxNNJkeS2eta2eVaUx7cGB27axq2bw3h2y
Основной тип подсказки в [[Мнемоническая среда]] - это подсказка атомарного отзыва в типичном стиле [[§Система интервального повторения]]: атомарная, строго проверяющая вашу память. 

Напротив, основной тип подсказки Execute Program - это или, по крайней мере, выглядит так: подсказка приложения (см. [[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]]).

Студентов просят применить то, что они узнали, к примеру, либо предсказав его результат, либо изменив пример для достижения некоторой цели. Например:

"""

Q. Каков результат `/a..b/.test(“a\ncb”)?`
А. `false`
"""

Это похоже на приглашение приложения в том смысле, что читателя просят применить то, что он узнал (это приглашение проверяет несколько понятий, в основном которые не совпадают `\n`). В контексте урока, знакомящего с этой концепцией, это в значительной степени подсказка приложения. Но это не похоже на подсказку приложения, потому что она дословно появляется на следующий день, и через несколько дней и т.д., напротив - [[Запросы приложения должны изменяться при повторении]]. [[Ответы на подсказки приложения не следует извлекать из памяти]], поэтому подсказка //становится// подсказкой отзыва после первой или двух презентаций.

Таким образом, приглашения Execute Program со знанием процедур со временем становятся подсказками с декларативным знанием. И наоборот, поскольку [[Execute Program не имеет неисполняемых запросов]] , все ее запросы с декларативными знаниями сформулированы в терминах запросов с процедурными знаниями.

Подробнее о значении этого различия: [[В какой степени подсказки приложения могут вытеснять подсказки отзыва в мнемонической среде?]]?

"""

Q. Запросы Execute Program изначально ведут себя как запросы _ _, ''но со временем становятся больше похожими на запросы _ _''.
A. приложение, отзыв
"""
Возможно, только 100–1 млн человек будут выполнять важную работу по климатическим технологиям. Но влияние СМИ на эту тему не ограничивается влиянием только на этих людей. Другие читатели, которые не практикуют в этой области, но которым интересна тема, могут использовать эти знания в своей роли в качестве узлов в «сети идей» общества.

С лучшим пониманием они смогут отличать лучшие идеи от плохих, и соответственно они будут усиливаться или ослабляться. Это особенно полезно в таких областях, как изменение климата, долголетие, BCI и т. Д., Где много шарлатанов и неэффективных доброжелателей.

Новые идеи могут появиться только тогда, когда предварительным идеям удастся распространиться через «сеть идей» и достичь соответствующих узлов. Даже неспециалисты и не практикующие могут сыграть здесь свою роль. Если они усугубляют бессмыслицу, они затрудняют случайное распространение идей экспертов между экспертами, потому что самый надежный путь между двумя экспертами может лежать через неспециалистов.

!!!References

* [[Simler, K. (2019, May 13). Going Critical. Retrieved December 29, 2019|https://meltingasphalt.com/interactive/going-critical]]
* [[Patrick Collison on project plans - 2019-12-24|https://notes.andymatuschak.org/z7crqahuuZZqzsRNKKV2ZkbmjLgcFb5CoCecF]]
После того, как Фриц Махлуп в 1962 году ввел «отрасли знаний» в качестве ключевой экономической проблемы США, Питер Друкер описал эту деятельность как «работу знаний» в 1969 году. ::Или, возможно, в 1966 году в *«Эффективном исполнительном директоре*» необходимо будет проверить::
Махлап указывает в 1962 году, что 29% ВВП США приходится на «индустрию знаний».

!!!Ссылки
Друкер, П. Ф. (1970). Возраст разрыва: Руководящие принципы для нашего меняющегося общества*. Лондон, Англия: William Heineman Ltd.
Махлуп, Ф. (1962).*Производство и распространение знаний в Соединенных Штатах*. Принстон, Нью-Джерси: Издательство Принстонского университета.
Многие мероприятия в работе по [[Знания]] , похоже, являются эфемерными усилиями, их результаты в основном отбрасываются после их завершения.
Вы можете проснуться от действительно сложного электронного письма и понять, что оно связано с чем-то, о чем вы думали в течение некоторого времени. Вы можете потратить час на написание тщательного ответа, фиксируя свое последнее мышление. И теперь… он живет в вашей папке «отправлено» и на короткое время в впечатлении на ваш разум и вашего коллеги. Усилия накапливаются только в той мере, в какой эта работа тонко влияет на мышление вашего и вашего коллеги с течением времени.
Аналогичным образом, [[Большинство людей делают только временные заметки]], хотя с эффективной практикой они являются важной основой; см. [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]] .

Мы должны стремиться разрабатывать практические системы, которые приносят совокупную отдачу от наших усилий по мере их накопления с течением времени.
[[§Система интервального повторения]]  достигает этого для памяти: когда вы найдете информацию полезной, вы можете приложить немного усилий, чтобы убедиться, что она всегда доступна. Со временем библиотека повторений с интервалом накапливает тысячи вопросов, и (я сильно подозреваю) что знания облегчают работу эффективного работника по знаниям позже.

Хэмминг ярко иллюстрирует этот момент:
Вы отмечаете, что большинство великих ученых имеют огромный драйв. Я работал десять лет с Джоном Туки в Bell Labs. У него был огромный драйв. Однажды примерно через три или четыре года после того, как я присоединился, я обнаружил, что Джон Туки немного моложе меня. Джон был гением, а я явно нет. Ну, я вошел в офис Боде и сказал: «Как кто-то моего возраста может знать так же, как Джон Туки?» Он откинулся назад на стул, положил руки за голову, слегка усмехнулся и сказал: «Вы удивитесь Хэммингу, сколько бы вы знали, если бы работали так же усердно, как и он так много лет». Я просто вырываюсь из офиса!
Боде говорил следующее: «Знания и производительность похожи на сложный интерес». Учитывая двух людей примерно одинаковых способностей и одного человека, который работает на 10% больше, чем другой, последний более чем в два раза превысит первого. Чем больше ты знаешь, тем больше ты учишься; чем больше ты учишься, тем больше можешь сделать; чем больше ты можешь сделать, тем больше возможностей - это очень похоже на сложный интерес. Я не хочу давать вам ставку, но это очень высокая ставка. Учитывая двух людей с точно такими же способностями, один человек, которому изо дня в день удается получить еще один час мышления, будет чрезвычайно более продуктивным на протяжении всей жизни. Я принял замечание Боде близко к сердцу; я потратил гораздо больше своего времени в течение нескольких лет, пытаясь работать немного усерднее, и обнаружил, что, на самом деле, я могу сделать больше работы.

!!!Ссылки
Аренс, С. (2017).*Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и писателей научно-популярных книг*.
Но самое главное, без постоянного резервуара идей вы не сможете развивать какие-либо крупные идеи в течение более длительного периода времени, потому что ограничиваете себя либо длиной одного проекта, либо емкостью своей памяти. Исключительные идеи нуждаются в гораздо большем, чем это.
13.08.2019 разговор с Анной Гат:
В Твиттере вы ничего не *строите*.
Матушак, А. (2019, декабрь). Серьезно относиться к работе с знаниями. Представлено в Stripe Convergence, Сан-Франциско.
Хэмминг, Р. У. (1997).*Искусство заниматься наукой и техникой: обучение учиться*. Гордон и Нарушение.
Все знают, как звучит виртуозная игра на фортепиано. Когда любитель играет, он, естественно, сравнивает себя с записью, которую слышал, и может довольно болезненно почувствовать, насколько возможно улучшение!

Напротив, когда люди принимают сложные решения, им обычно не хватает интуитивного чувства, что они любители. Военные офицеры обучены принимать стратегические и решительные решения, но это не особенно важно для владельца малого бизнеса. Принятие решений, как абстрактный навык, не появится в меню «навыки тяжелой атлетики».
Я подозреваю, что это одна из ключевых причин, почему  [[Люди обычно развивают навыки до плато, а затем останавливаются]], и в частности, почему  [[Спортсмены и музыканты гораздо более строго преследуют виртуозность в фундаментальных навыках, чем работники, занимающие знаниями.]].

Если вы никогда не слышали о  [[§Система интервального повторения]], неочевидно, что память может быть решенной проблемой. 
Если вы никогда не слышали о  [[Вечнозеленые заметки]], вероятно, для вас не очевидно, что [[У работников интеллектуальной сферы обычно нет специальных методов для развития идей с течением времени]].
Если живопись - это эстетическое средство зрения, музыка - эстетическое средство звука, а приготовление - эстетическое средство вкуса, то игра - это эстетическое средство *действия*, отмечает Frank Lantz.

Игры, конечно, включают в себя визуальные эффекты и музыку, но что действительно отличает их, так это то, что игрок *действует*. Геймдизайнеры могут выразить конкретный эстетический опыт, формируя действия игроков, чтобы заставить их иметь этот опыт (см.  [[Реализованный опыт]]).

На самом деле, игры действительно являются эстетической средой действия. Погруженный театр иногда соответствует требованиям, но действия аудитории обычно второстепенны. В определенных поездках приключенческие гиды являются автором эстетического средства действия, но такие поездки, как правило, больше посвящены наблюдению, чем участию.
Вам не нужно гадать, решили ли вы головоломку в Witness: игра вам все расскажет. Вам не нужно гадать, правильно ли вы прицелились в шутере: визуальная и звуковая обратная связь вам это скажет.

Иногда окружающая среда передает эту обратную связь более неявно. Например, вы можете подумать, что у вас сильные навыки бега и прыжков, но тщательно продуманный промежуток между двумя выступами может быстро продемонстрировать, что вы еще не успели вовремя.

Явные задачи, подобные предыдущему примеру, могут быть специально поставлены разработчиками игр, но в более общем плане вся игровая среда предназначена для выявления пробелов в ментальных моделях игроков. Игроки предпринимают какие-то действия, ожидая результата. Затем игра представляет истинный результат, давая игрокам возможность заметить дельту. Хорошие игры гарантируют, что игроки не могут случайно поверить в правильность своей модели.

Противоречие. Большинство образовательных СМИ заставляют участников запускать свои собственные циклы обратной связи.
При перемещении по игре вам обычно не нужно гадать, готовы ли вы перейти к чему-то другому или куда вам следует пойти: игра сообщит вам об этом (возможно, неявно).

Иногда существует строгая последовательность уровней, которая должна быть решена по порядку. Составление плана тривиально; см.  [[Детализированная последовательность задач как когнитивная опора]].
Более тонко, вы можете обнаружить, что битва с боссом зависит от вашей способности использовать лук и стрелы. Выходы из подземелий закрыты, поэтому больше некуда идти. Итак, вы приходите к очевидному выводу: вам нужно будет стать лучше на поклоне, пока вы не сможете победить босса. В другой игре вы можете обнаружить, что иногда пропускаете лук и стрелы, но всегда есть путь вперед, по крайней мере, на данный момент. Таким образом, вам не нужно работать над улучшением стрельбы из лука, если вы специально не хотите.

Даже в игре с открытым миром геймдизайнеры используют близость и аффективный дизайн, чтобы гарантировать, что по крайней мере одно привлекательное и подходящее место всегда является заметным. Если вы отправились в направлении, где задача слишком велика, игра даст понять, что вы должны адаптировать свои планы, и она представит очевидный альтернативный путь.

В общем, все это означает, что игроки могут сосредоточиться на действии, а не на попытке понять, что им следует сделать дальше. 
Игровые дизайнеры - это одни из лучших учителей в мире. Они создают среды, которые надежно обучают сложным навыкам (часто даже без слов!). И люди любят этот опыт, в отличие от большинства образовательных опытов.

Но будьте осторожны, дизайнеры «образовательных игр»! - [[Развитие навыков в играх подчинено другим внутренне значимым целям]]. 

!!!Игра сама является участником
Игра - это [[Среда участия]]; Это то, что отличает его от телевидения и фильмов, показанных на одном телевидении. А [[Среда участия поддерживает обучение]]

!!!Игра - это поддерживающие строительные леса
Игровые дизайнеры тщательно развертывают [[Когнитивный каркас]], чтобы игроки  постепенно развили нужные навыки и наслаждались игрой.

[[Детализированная последовательность задач как когнитивная опора]]: уровни тщательно секвенированы и структурированы для постепенного (безмолвного ) введения и развития игровых концепций. Завершение уровня часто требует от игрока, чтобы продемонстрировать, что он что-то понимает, поэтому добиться в игре прогресса это тоже самое, что и понять новые вещи.

[[Ограничения как когнитивные опоры]]: В Witness быстро становится ясно, что единственные интерактивные элементы - это те, которые выглядят как круг, соединенный с линией, и единственное возможное взаимодействие - это отслеживание линии.

[[Метакогнитивная поддержка как как когнитивная опора]] : поскольку они являются динамическими, игры также могут обеспечить динамическую поддержку для метапознания. В частности, [[Игры помогают игрокам оценить свои развивающие навыки]] и [[Игры помогают игрокам строить и адаптировать планы]].

!!!Игры полны принятого опыта
Игра является принятым опытом, поэтому в играх, таких как Braid  (в отличие от наивной образовательной игры), игроки не чувствуют, что они «учатся». Эмоционально, их опыт заключается в том, что они строят свое собственное понимание, которое может их интенсивно удовлетворять; см. также [[Реализованный опыт может создать интенсивную личную связь с авторизованными целями]].

Смотрите также [[Обучающие игры пытаются научить через реализованный опыт]].
Если вы пытаетесь ответить на интересный вопрос, вы, вероятно, не сможете написать себе полную дорожную карту.  Вы можете исследовать местность и снизить риски настолько, насколько это разумно, но вы достигнете пункта назначения, используя идеи и возможности, которые обнаруживаете на этом пути.  Следовательно, очень важно держать глаза открытыми и не вводить себя в заблуждение: ваш прорыв может скрываться в том выбросе данных, который вы склонны опускать в своем анализе.

Если вам нужно быть предельно честным в разговоре с самим собой, вам лучше быть предельно честным, когда говорите с другими о своей работе.  Я не думаю, что возможно создавать уклончивые маркетинговые сообщения о своем «большом прогрессе», не закрывая глаза на то, что на самом деле происходит.  Напротив, если вы [[Работать с "поднятыми воротами гаража"]] и открыто обсуждаете проблемы, с которыми вы боретесь (иначе говоря, [[Антимаркетинг]], вы создаете цикл обратной связи, который вознаграждает скептицизм и честность. Вы делаете целостность неотъемлемой частью вашей личности, а не  пытаясь отгородить его от ваших маркетинговых сообщений.

!!!References

The title is taken from:
Tufte, E. R. (2006). *The cognitive style of PowerPoint: Pitching out corrupts within*. Cheshire, Conn.: Graphics Press.
Подсказки типа "Да / Нет"для [[§Система интервального повторения]] являются привлекательной неприятностью. Многие простые утверждения, которые вы можете прочитать, в основном говорят: «X - правда». Очевидно, простой способ превратить это в вопрос - спросить: «Истинно ли X?» Но эти вопросы не очень полезны: [[Запоминания с интервалом повторения должны гарантировать, что рецензенты должны извлекать ответы из памяти]].

Вопросы типа «да / нет» обычно можно преобразовать в более сложные формы: [[Подсказки с интервалом повторения в памяти должны кодировать идеи с разных сторон]]. Например, если вы читаете [[«Клетки баклажана» - Чепмена]], вы, возможно, только что узнали, что метарациональность - это не «альтернатива» рациональности, а отдельная вещь. Итак, вы могли бы спросить: «Является ли метарациональность «альтернативой» рациональности?» Но знание того, что ответ «нет», не очень помогает. Лучше спросить: «Почему метарациональность не является альтернативой рациональности?»
При добавлении подсказок в [[§Система интервального повторения]] обычно ошибочно писать подсказки о деталях, которые кажутся интересными, но которые не связаны со всем остальным, о чем вы думаете. [[Подсказки с интервалом повторения в памяти должны связывать и связывать идеи]] - и еще лучше заставить их соединяться и соотноситься с идеями, о которых вы регулярно думаете.

«Сиротские вопросы» (по Майклу Нильсену, 2018) вызывают две важные проблемы:

# Через некоторое время эти изолированные подсказки часто начинают казаться обузой во время сеанса проверки, поскольку они не связаны с тем, что вас действительно волнует (напротив, [[Важнейшим моментом для оптимизации систем памяти с интервальным повторением является эмоциональная связь с сеансом обзора и его содержанием]]).

#Скорее всего, вам будет труднее запоминать ответы на эти вопросы, поскольку они не получат естественного подкрепления в повседневной жизни. Даже если вы помните ответы, существует опасность, что они будут сопоставлены с шаблоном, потому что они не связаны с другими знаниями ([[Запросы памяти с интервалом повторения должны быть написаны, чтобы препятствовать поверхностному «сопоставлению с образцом»]])

По крайней мере, для меня одна распространенная ситуация, которая часто приводит к сиротским вопросам: кто-то делится интересной статьей в области, о которой я ничего не знаю; Читаю и пишу несколько подсказок. Несколько месяцев спустя я понятия не имею, зачем я их просматриваю. Они не связаны ни с чем, что я делаю или о чем думаю.

Майкл подчеркивает особо опасный случай «сирот»:

::Особенно стоит избегать сирот: отдельные вопросы, которые в значительной степени не связаны со всем остальным. Предположим, например, что я читаю статью на новую тему и узнаю идею, которая кажется особенно полезной. Я беру за правило никогда не задавать один вопрос. Скорее, я стараюсь задать хотя бы два вопроса, желательно три или больше. Обычно этого достаточно, чтобы это было хотя бы ядром небольшого полезного знания. Если это одинокая сирота, я неизбежно все время задаю неверный вопрос, и было бы напрасно входить в него вообще.

!!!References

Nielsen, M. (2018). [[Augmenting Long-term Memory|http://augmentingcognition.com/ltm.html]]
Представьте, что вы управляете дизайнерской студией в Древнем Риме. Королевский сборщик налогов навещает вас и спрашивает о видении будущего систем бухгалтерского учета. Оглядываясь назад, мы можем обнаружить катастрофическое концептуальное ограничение: они используют римские цифры для бухгалтерского учета! Тривиальные арифметические операции сложны и подвержены ошибкам. Конечно, есть много других проблем с их практикой, но мог ли процесс какой-либо дизайнерской студии способствовать изобретению индуистско-арабских цифр?

Эта система счисления представляет собой как глубокую конструкторскую работу, так и глубокое математическое понимание. Различное значение является отличным примером: значение числа меняется в зависимости от его положения, но числа в каждой позиции используют одни и те же визуальные представления (цифры) и операции (при добавлении 22 + 33 вы добавляете 2 + 3 в двух разных местах). Это самоподобие критически важно для мощности системы счисления. Он выражает как глубокие математические идеи (коммутативность, ассоциативность, распределенность), так и глубокие идеи в дизайне (абстрактное представление, экономичность, пространственность).

Чтобы изобрести эту систему счисления, вам потребуются исключительные навыки как в дизайне, так и в математике, способные к пониманию, создавая петлю обратной связи ([[Insight через создание]]), которая использует развивающуюся систему счисления не только для улучшения вашего собственного математического понимания, но и для получения оригинальных математических знаний мирового класса. идеи; и который использует эти идеи для улучшения развивающейся системы счисления.

Рассмотрим студийный дизайн-процесс. Вы бы тщательно опросили всех участников, чтобы понять их процесс. Вы бы расширили / разорвали бриф, пытаясь действительно получить доступ к тому, что подразумевается под «системами бухгалтерского учета», или даже задаваясь вопросом, почему бухгалтерский учет вообще должен происходить. Вы привлекли бы бухгалтеров и королевских математиков к процессу проектирования с помощью быстрых сеансов генерации идей и набросков. Вы регулярно возвращались в студию, чтобы синтезировать наброски участников и ваши наблюдения во что-то новое.

Такая практика, несомненно, улучшит бухгалтерские системы. Но это не дало бы ничего подобного математическому пониманию, необходимому для получения индо-арабских цифр, что, по-видимому, потребовало бы многих лет (или поколений?) Опытных разработок математика-проектировщика.

---

!!!References
Matuschak, A., & Nielsen, M. (2019 0). How can we develop transformative tools for thought? https://numinous.productions/ttft
[[Сложные идеи может быть трудно усвоить отчасти из-за того, что их компоненты переполняют рабочую память]]. Но [[Пропускная способность человеческого канала увеличивается с увеличением количества бит-на-чанк]], а [[Перекодирование может увеличить размер чанка]]. Так что, когда вы, наконец, сможете узнать что-то, что вас ускользнуло, это может быть связано с тем, что вы, наконец, закодировали достаточно большие фрагменты ([[«Чанки» в человеческом познании]], представляющие составные части.

Миллер предложил более узкое толкование этого понятия в своей статье, в которой он ввел термин (1956, с. 95):

::Кажется [[вероятным|https://quoteinvestigator.com/2017/11/18/planning/]], что в этих терминах можно изучать даже запоминание. Процесс запоминания может быть простым формированием фрагментов или групп элементов, которые соединяются вместе, пока не останется достаточно фрагментов, чтобы мы могли вспомнить все элементы.

!!!References

Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81–97. [[Miller - The magical number seven, plus or minus two|https://doi.org/10.1037/h0043158]]
Как только кто-то поймет, что [[Системы памяти с интервалом повторения делают выбор в пользу памяти]] и что [[Изучение все более сложных идей может привести к формированию эффективных чанков размера]], возникает ужасный соблазн поглощать новые знания, загружая чужие колоды подсказок [[§Система интервального повторения]]. Но если предположить, что вы никогда не изучали ее раньше, вам гораздо лучше прочитать главу из учебника по клеточной биологии, чем запоминать чужую колоду (deck).

Это конкретное утверждение о более общем явлении; см. [[Подсказки для интервального повторения сами по себе являются плохим средством коммуникации]]. Также случается, что большинство загружаемых колод SRS сделаны плохо: [[Трудно написать хорошие подсказки для интервального повторения]].

См. также: [[Мнемоническая среда]], которая пытается решить эту проблему.

По теме: [[Написание собственных подсказок для интервального повторения, кажется, способствует пониманию]]
!!!References
Adler, M., & van Doren, C. (1972). How to Read a Book. Simon & Schuster, Inc.
Инструменты для размышления

О финансировании:
[[Новые идеи пользовательского интерфейса - общественное достояние]]
(https://notes.andymatuschak.org/zXseK39g1SHgQvMXLbnaB1AUZ2WL5ffDzsbZ) 

[[В какой степени можно думать о квадратичных инструментах предоставления финансирования?]]
(https://notes.andymatuschak.org/z2znyciwTKuthTj6cReuPpHX37odgwjvTZrWG) 


[[В какой степени патронаж может финансировать создание инструментов для мысли?]]
(https://notes.andymatuschak.org/z7yW6uFDGHgKUruzdj7Le6GNRkvm2b7Db313c) 

[[Я не знаю, как эффективно использовать большой капитал против инструментов для размышления]].
(https://notes.andymatuschak.org/z7RWaai8pAwgYzNnVtPxC85y6nizduVZb72ev) 

В моей работе нет модели для превращения маржинального капитала в предельное понимание
Мы не оцениваем [[Mathematica|https://notes.andymatuschak.org/zihU6LodtWSUP6dGPDQmM4UqCp4sAXSvJAb]], не спрашивая, сколько учащихся её используют, не спрашивая о её влиянии на результаты тестов или измеряя, насколько быстрее она помогает людям решать задачи.
Все это в разной степени релевантные прокси-метрики (//relevant proxies//), но не истинное предназначение инструмента. Система Mathematica была создана как часть исследований Вольфрама в области манипуляции символами и автоматами, а затем в конечном итоге расширилась, чтобы дать возможность математикам и ученым в целом.

Соответственно, возникает соблазн оценить мнемоническую среду, задав вопрос, сколько люди запоминают после прочтения текста. Но не настоящая её цель!

Её настоящая цель - дать людям возможность делать больше из того, что они считают наиболее значимым, помочь им стать более самими собой. Нам нужно будет найти способ оценить этот показатель.

Если мы хотим предложить какой-то светский трансцендентный нарратив, мы должны в конечном итоге оценить всю нашу работу, относящуюся к этому - относительно придания смысла, отношения людей к миру, организации образа жизни людей и т. д. Конечно, нам понадобятся прокси-метрики, но это все, чем они будут. Сосредоточение внимания на этой цели стирает различия между «содержанием» и «инструментами» и подталкивает нас к поиску идей, которые будут лучше передавать смысл.

Лучшие обрамления включают:

* Сколько потолков Сикстинской капеллы создается на поколение? (за Алана)
* Создание [[The Primer ++]] или Dynabook ++
* Создание чрезвычайно быстрорастущих сред и соответствующих мостов к действию на основе этого роста ([[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]])
* [[Проектирование новых благоприятных условий можно представить как проектирование университета ++]]
* Проектирование  новых благоприятных условий можно представить как проектирование университета ++
* В этом смысле [[Инструменты для размышления]] - это несколько искажающий термин. Это подталкивает нас думать о «мысли» как о конечной цели. ''Но мы пытаемся создать "контексты смысла"''. Также обратите внимание, что «контекст» может быть простым старомодным эссе!

!!!References

https://github.com/mnielsen/tpft/blob/master/big_picture.md

* Какая среда является наиболее быстрорастущей для отдельных лиц и групп? Как выглядит этот проект, задуманный как (крайне необычный) онлайн-класс?
* Возможно ли помочь создать сверхспособных подрывников, которые верят в свою способность оказывать значимое влияние на важные проблемы?
* Кем на самом деле хотят быть MOOC? + Как заново изобрести университеты? Как выглядит University++? + Как выглядит Primer++ или Dynabook++? + Сколько потолков Сикстинской капеллы за всю жизнь?
Кей, А. С. (1972). Персональный компьютер для детей всех возрастов. Материалы ежегодной конференции ACM - Том 1.  https://doi.org/10.1145/800193.197192
https://doi.org/10.1145/800193.1971922
После того, как «отраслей знаний» были введены в качестве ключевой экономики США озабоченности Махлуп в 1962 году, Питер Друкер описал эти действия как «работа знания» в 1969 г. :: Или , возможно , в 1966 году эффективного исполнительной -Будет необходимости проверять ::

В 1962 году Махлуп указывает, что 29% ВВП США приходится на «индустрию знаний».

References
Drucker, P. F. (1970). The age of discontinuity: Guidelines to our changing society. London, England: William Heineman Ltd.

Machlup, F. (1962). The production and distribution of knowledge in the United States. Princeton, NJ: Princeton University Press.
[[Системы интервального повторения чрезвычайно эффективны]], но эта фраза не раскрывает сущности эффективности. Есть много вещей, которые вы можете попытаться улучшить - читать больше книг, разговаривать с экспертами и т. Д. Все это, конечно, поможет, но они также довольно быстро дают убывающую отдачу. Периодическое повторение так не работает. Если вы потратите несколько дополнительных минут на просмотр подсказок о том, что вы прочитали, вы получите гораздо больше от материала. С этого момента для достижения практически постоянного отзыва требуется лишь немного больше усилий.

---

!!!References
[[Matuschak, A., & Nielsen, M. (2019, October 0). How can we develop transformative tools for thought?|https://numinous.productions/ttft]]

Учитывая, что чтение эссе занимает около 4 часов, это говорит о том, что накладные расходы менее 50% по времени могут обеспечить многие месяцы или годы удержания почти всех важных деталей в эссе.

Это большое, парадоксальное преимущество повторения с интервалом: вы получаете экспоненциальную отдачу от увеличенных усилий. В среднем каждая лишняя минута усилий, потраченных на обзор, приносит все больше и больше пользы. Это резко контрастирует с большинством жизненных ситуаций, когда мы сталкиваемся с убывающей отдачей. Например, обычно, если вы увеличиваете количество времени, которое вы тратите на чтение, на 50%, вы ожидаете получить от этого не более 50%, а, возможно, и гораздо меньше. Но с мнемонической средой, когда вы увеличиваете количество времени, которое вы тратите на чтение, на 50%, вы можете получить от нее в 10 раз больше. Конечно, мы не имеем в виду эти цифры буквально. Но он передает ключевую идею получения сильно нелинейной прибыли. Это изменение качества среды.
В разговоре или на прогулке меня часто поражает интересный вопрос или мысль. Во многих случаях я не могу написать что-нибудь очень проницательное на эту тему в тот момент: я определенно не могу написать хорошие заметки Evergreen. Я пока не могу сказать ничего полезного об этом понятии - оно просто кажется ужасно интересным.

Что мне делать сейчас? Как я могу сделать так, чтобы это предчувствие развивалось со временем? Я мог бы создать «список дел» или выделить время, чтобы подумать над этим вопросом, но часто это не то, что нужно. Вместо этого мне часто нужен маринад: давайте вернемся через несколько дней, посмотрим, что "поднимется пузырьками".

Я могу запечатлеть это понятие в  [письме Входящие для временных и неполных заметок](https://notes.andymatuschak.org/z5aJUJcSbxuQxzHr2YvaY4cX5TuvLQT7r27Dz) , но оно быстро станет кучей громоздкими обрывков, которые я буду игнорировать ([[Ящики входящих работают только в том случае, если вы доверяете тому, как они очищаются.]] .
]] [Для программирования внимания могут использоваться системы интервального повторения](https://notes.andymatuschak.org/z2gqazXUkf9qyFjMQg4W3dw6yegnAJszvDywN) , поэтому такие механизмы могут быть полезны здесь. В такой системе я мог бы:
* Сядьте за мое утреннее письмо и посмотрите небольшую горстку письменных подсказок на день, взятых из моего почтового ящика.
* Я могу добавить все, что есть в голове в отношении любого из них (возможно, они скрывает то, что было написано ранее, пока я не добавлю новый материал)
* После того, как я это сделаю, я могу пометить подсказку как «плодовую», что означает, что она появится снова относительно скоро, или «неплодная», и в этом случае система существенно увеличит свой интервал.
* Кроме того, я мог бы воспользоваться моментом, чтобы преобразовать одну из этих подсказок в одну или несколько [[Вечнозеленые заметки]] .
* Любые подсказки, которые я просто игнорирую, будут увеличены, но, возможно, не так существенно, как явно неплодные подсказки.
Используя экспоненциальный характер интервалов повторения, можно добиться постепенного прогресса на потенциально сотни подсказок, рассматривая только несколько в любой данный день.
Это представляло бы собой систему *постепенного мышления.*

!!!Реализации
Райс Исса опубликовала [[простую реализацию метода.|https://github.com/riceissa/spaced-inbox]] 
Представьте, что вы читаете статью, в которой говорится примерно следующее:

Ходите по кругу со сложным упражнением по расстановке приоритетов? Если ни один из факторов сам по себе не кажется особенно решающим, вы, вероятно, никуда не денетесь с большим за / против. Вам нужно будет либо сделать новый выбор, либо определить более мощные оси оценки, либо признать, что вы не можете сделать строго осознанный выбор.

Вы можете запоминать отрывки из этого с помощью [[§Система интервального повторения]] , но вы также можете использовать ту же систему, чтобы «закрепить» эту привычку в своем уме. Вот несколько примеров вопросов, которые вы можете попробовать:

"""

В: Вспомните ситуацию, в которой вы ходили по кругу, бесконечно пытаясь расставить приоритеты для различных вариантов. (Создайте тот, о котором вы раньше не думали, отвечая на этот вопрос)
A: пусто

В: Представьте необычную серию конкретных шагов, которые вы могли бы предпринять в следующий раз, когда обнаружите, что застряли в неясной задаче определения приоритетов. (Создайте серию шагов, которые вы не создавали раньше)
A: пусто

В: Представьте себе конкретную ситуацию, в которой вам было бы сложно выбраться из трясины расстановки приоритетов, найдя единственный решающий фактор. (Создайте тот, о котором вы раньше не думали)
A: пусто
"""

После того, как вы несколько раз ответили на этот тип подсказки о конкретной привычке, часто бывает полезно сделать более конкретные подсказки, чтобы закрепить эту привычку. Например ([[через Kanjun, 01.07.2010|https://twitter.com/kanjun/status/1278501271226298368]]): «Когда я беру зубную щетку утром…» «… возьми мой телефон и открой Anki».

Это пример [[Системы интервального повторения могут использоваться для программирования внимания]].

!!!References 
Связанное понятие от  Alexey Guzey: [[Instilling Novel Thought Patterns and Making Your Long-Term Memory Accountable with Anki - Alexey Guzey|https://guzey.com/things/software/anki/]]
[[Ящики входящих работают только в том случае, если вы доверяете тому, как они очищаются.]], но [[Стратегии сортирования для обслуживания почтовых ящиков (например, Zero Inbox) часто слишком хрупкие]]. В значительной степени это связано с тем, что [[Программные интерфейсы часто представляют разрушительные операции как окончательные решения, а не как случайные предпочтения]].

Если вы переформулируете деструктивные операции как «не сейчас», они почувствуют себя совершенно иначе. Эта вкладка браузера не исчезла - она ​​вернется позже. Может быть, сначала это будет день спустя, затем, если я пропущу его снова, через несколько дней, затем, может быть, через неделю и так далее, пока «не сейчас» фактически не станет «близко» ... но это не кажется таким напряженным. . Это понятие может быть применено к очередям задач, спискам чтения ([[Почтовый ящик для чтения для сбора потенциально полезных ссылок]]) и т.д. [[Механика интервального повторения создает ощущение легкости]].

Это пример того, как [[Системы интервального повторения могут использоваться для программирования внимания]].
[[An interesting flaw in Cognitive Load Theory. Filling the pail|https://gregashman.wordpress.com/2017/10/03/an-interesting-flaw-in-cognitive-load-theory/]]


Оухао Чэнь и его коллеги опубликовали [[новую статью|https://link.springer.com/article/10.1007%2Fs10648-017-9426-2]], в которой указывается на недостаток в одном из предположений теории когнитивной нагрузки (CLT); недостаток с некоторыми потенциально интересными последствиями.

Одна из центральных идей CLT заключается в том, что рабочая память, в которой мы сознательно обрабатываем новую ([[биологически вторичную|https://gregashman.wordpress.com/2017/09/18/an-unnatural-act/]]) информацию, ограничена, но эти пределы отпадают после того, как они имеют дело со знаниями, хранящимися в долгосрочной памяти. Раньше я думал об этом как о дефекте дизайна; что вы, возможно, могли бы улучшить работу людей, расширив наши рабочие воспоминания, но CLT предполагает, что есть причина этого ограничения: учитывая, что информация передается через рабочую память в долгосрочную память, она предотвращает быстрые и разрушительные изменения в долгосрочной памяти.

Помимо работы со знаниями, хранящимися в долгосрочной памяти, CLT предполагает, что рабочая память человека фиксирована. Это может быть неправильно, потому что статья Чен и др. предлагают новый «эффект истощения», когда объем рабочей памяти еще больше снижается после периода использования.

Авторы указывают на несколько предыдущих исследований, которые показывают, что налоговая задача привела к снижению производительности следующей задачи, предназначенной для измерения объема рабочей памяти. Однако это было не в контексте обучения. Таким образом, авторы создали контекст, в котором ученики начальной школы изучали дроби или основы алгебры.

Все студенты выполнили серию учебных заданий, серию заданий на рабочую память и тест. Примерно половина завершила это в одном массивном блоке (в 1 день), тогда как остальные завершили это в разнесенных по времени блоках (за 3 дня). Интересно, что тест для этой последней группы проводился в другой день по сравнению с любыми учебными задачами, и мы могли подумать, что это ухудшит успеваемость, даже если приведет к лучшему обучению в долгосрочной перспективе. 

Но это не так! Вместо этого был классический эффект разнесенной практики, когда ученики в разнесенной группе лучше справлялись с тестом, чем те, кто выполнил одиночный групповой блок. Пока это ничем не примечательно, хотя авторы отмечают, что относительно немного экспериментов проверяли эффект разнесенной практики в аутентичной классной среде с аутентичными целями обучения так, как они это делали.

Но не это самое интересное. Они также отметили *более низкую производительность при выполнении задач на рабочую память для "массовой" группы*. Раньше объяснения эффекта интервальной практики основывались на таких идеях, как то, что процесс попытки извлечь что-то, о чем начинают забываться, увеличивает силу извлечения. Это исследование предлагает другой, возможно, дополнительный механизм: *интервальная практика позволяет избежать когнитивного истощения*. ::Todo надо изучать работу ДП с этой точки зрения::

Исследование было квази-экспериментальным. Дети не проходили случайный отбор по условиям, а из практических соображений выполняли их в своих обычных классах. Это было немного смягчено во втором эксперименте путем выполнения двух последовательностей и переключения условий с первой на вторую последовательность, то есть класс, который выполнял массовую практику в первой последовательности, выполнял разнесенную практику во второй и наоборот. Результаты держатся.

Это потенциально расширяет сферу применения CLT, чтобы служить теоретической основой для объяснения других эффектов, таких как интервальная практика.

Авторы также отмечают намеки в предыдущих экспериментах на то, что **истощение может быть в значительной степени специфичным для домена**. ::TODO развить идеи  этих намёков::
Если так, это будет иметь последствия для учителей, потому что мы могли бы избежать истощения, переключая типы задач.
В творческой работе и в жизни многие цели кажутся непредсказуемыми и громоздкими, зависящими от надежды и удачи: выработка привычки, приведение в форму, написание книги, выполнение исследовательского проекта и т. д. (см. [[Основные практики в работе с знаниями часто являются ad-hoc]])

Уборка на кухне - это не так. Даже очистка почтового ящика - это не то же самое ([[Стратегии сортирования для обслуживания почтовых ящиков (например, Zero Inbox) часто слишком хрупкие]]). 

Для многих прозаических целей у вас есть [[Исполняемая стратегия]], которые надежно достигают цели предсказуемым, управляемым количеством усилий. Они являются своего рода метакогнитивной поддержкой ( [[Метакогнитивная поддержка как как когнитивная опора]].


Чтобы построить исполняемую стратегию, мы должны разбить задачу на такие действия, чтобы:

выполнение большего количества этих действий надежно приблизит вас к цели
каждое действие требует предсказуемого количества усилий
каждая деятельность кажется выполнимой
требуется немного усилий, чтобы выбрать и спланировать мероприятие
Один из распространенных вариантов - установить ежедневные цели на определенное количество часов на работе. Успех этой стратегии требует четкой теории того, как эти часы неумолимо накапливаются для достижения желаемого результата. Просто потратить некоторое количество часов на проект - довольно слабое ограничение: легко работать сосредоточенно, много часов непродуктивно.

Другой распространенный выбор - дискретизировать творческий результат. Если вы пытаетесь написать эссе, вы можете стремиться написать определенное количество слов в день; Если вы разрабатываете интерфейс, вы можете стремиться разрабатывать один элемент пользовательского интерфейса в день. Но эти шаги не требуют предсказуемого количества усилий, и они часто кажутся невыполнимыми. Если вы застряли в письме, потому что запутались в одной из своих идей, вы не сможете написать 500 слов для своей рукописи. Вместо этого вам нужно больше времени обдумывать идею. Рукопись - сложное место для этого. Напротив, рассматривайте [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]].


!!!Список исполняемых стратегий

* [[Исполняемая стратегия письма]] 
* [[Системы памяти с интервалом повторения делают выбор в пользу памяти]] 
* [[Как превратить аннотации чтения в вечнозеленые заметки]]
Начало привычки
Наивный процесс письма начинается с грубого представления о том, что нужно написать, и пустой страницы. Прогресс с этого момента требует огромного количества энергии активации и когнитивных усилий: нет ничего внешнего, поэтому вы должны передвигать всю будущую часть в своей голове.

Напротив, если вы уже написали много концептуальных [[Вечнозеленые заметки]] по теме, ваша задача больше похожа на редактирование, чем на композицию. Вы можете составить план, перетасовывая заголовки заметок, написать заметки на любом недостающем материале и отредактировать их вместе в повествование. Фактически, поскольку вы можете создавать спекулятивные схемы во время письма, вы можете обнаружить, что первый из этих шагов уже выполнен. И писать каждую заметку несложно: [[Вечнозеленые заметки позволяют плавно прогрессировать в письменной форме («инкрементное письмо»)]].

Вместо такой задачи, как «написать план первой главы», у вас есть такая задача, как «найти заметки, которые кажутся важными». Каждый шаг кажется выполнимым. Это исполняемая стратегия (см. [[Исполняемая стратегия]]).

Здесь я описываю два подхода: неориентированный вариант, в котором написание проектов органично возникает из повседневной работы; и направленная версия, в которой вы пытаетесь написать о чем-то конкретном.

!!!Неориентированный подход:
# Постоянно пишите долговечные заметки, читая и думая. [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]]
# Каждый раз, когда вы добавляете заметку, добавляйте ссылку на нее в схему, создавая ее при необходимости [[Создавайте спекулятивные контуры во время написания заметки]].
# В конце концов, вы почувствуете интерес к конкретизации одного из этих контуров [[Позвольте идеям и убеждениям возникать органически]]
# Напишите новые заметки, чтобы заполнить недостающие части схемы.
# Соедините все тексты заметок вместе, чтобы получить исходную рукопись.
# Перепишите это.

!!!Ориентированный подход:
# Просмотрите заметки, относящиеся к вашей теме (и еще один-два шага за ними - [[Заметки должны вас удивлять и давать insights]]
# Сделайте набросок (контур) заметки
# Прикрепите существующие примечания к каждой точке контура; при необходимости пишите новые заметки.
# Соедините все тексты заметок вместе, чтобы получить исходную рукопись.
# Перепишите это.

Еще одно приятное преимущество этого подхода: [[Вечнозеленые заметки снижают эмоциональные ставки на редактирование рукописей]].


!!!Ссылки
предпочтения
Аренс, С. (2017). *Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и авторов научно-популярных книг*.

Подготовка отрывков помогает вам легче писать, метод [[Zettelkasten]]

Чтобы с ясностью увидеть, в достаточной ли мере ваше исследование подкрепляет структуру вашего текста, следующий шаг - назначить заметки из Zettelkasten элементам вашего плана. Когда кажется, что какой-то элемент вашего плана игнорируется из-за того, что у вас недостаточно подходящих заметок, вы можете продолжить исследование, сосредоточив внимание на недостающих частях. Как только вы уверены, что у вас достаточно освещения для начала, вы объединяете содержание заметок в соответствии с планом. Таким образом, вы создаете самый первый черновик. Это все, что нужно, чтобы перейти от плана к рукописи. Затем вы начинаете переписывать, систематизировать материал и делать текст связным.

Нет никакого волшебства в написании текстов с помощью сытого Зеттелькастена. Чтобы составить первый черновик, вы помещаете содержимое выбранных заметок в соответствующие места в структуре, кладя мясо на кости скелета вашего текста. Вот как Zettelkasten поможет вам завершить ваш первый набросок.
(См. Центральное обсуждение в разделе [[Как мы можем разработать инструменты преобразования мышления; подраздел« Исполняемые книги»|https://numinous.productions/ttft/#how-to-invent-hindu-arabic-numerals]]

* Некоторые СМИ, которые жестикулируют в этом направлении:
** [[GitHub - norvig / pytudes: программы на Python, обычно короткие, значительной сложности, для совершенствования определенных навыков|https://github.com/norvig/pytudes]]
** [[Observable  - используйте данные, чтобы думать вместе|https://observablehq.com/]]
** [[Структура и интерпретация Classical Mechanics|https://groups.csail.mit.edu/mac/users/gjs/6946/sicm-html/book.html]]
** [[Конструктор интеграции платежей Stripe|https://stripe.com/docs/payments/integration-builder]]
** [[Nand2Tetris]]

* [[Исполняемые книги подчеркивают важность понимания уже существующего кода, а не написания нового кода]].
По крайней мере, как обычно задумано, [[Исполняемые книги]] упаковывают и представляют код, обсуждаемый их прозой. Читателей могут попросить расширить этот код в упражнениях, но исполняемые книги представляют собой код объекта, созданного автором для изучения. Проза призвана помочь студентам прочитать и понять код. Интересный альтернативный подход - рассмотреть исполняемые носители, похожие на книгу, которые создают код как что-то преимущественно написанное читателем.

Такая книга больше походила бы на [[«Невероятая машина»]], чем на книжку с картинками Руба Голдберга: в ней можно было бы представить [[Детализированная последовательность задач как когнитивная опора]] и соответствующую информацию по ходу выполнения. Читатель выполняет исполнение, но это исполнение четко структурировано автором:[[Реализованный опыт]]. По теме: [[Что может означать размещение таких игр, как Shenzhen I / O, в профессиональных средах, таких как IDE?]]

Другой пример; Павел Панчеха работает над книгой о том, как создать веб-браузер. Он явно не хочет, чтобы книга была структурирована как обычная исполняемая книга - примеры кода, которые легко запускать и редактировать, - потому что он хочет, чтобы читатели создавали свои собственные веб-браузеры.

::Подход с исполняемой книгой (например, с записной книжкой) хорош ''для понимания фиксированного кода''. Вы можете запускать его по частям, читать комментарии и видеть, как каждый фрагмент выделяется в соответствии с его описанием в тексте. Но это поощряет такой способ взаимодействия, при котором вы ''читаете'' код, а не пишете его. Возможно, это слишком много, чтобы требовать, чтобы средний читатель действительно написал веб-браузер, но, по крайней мере, я заставляю своих учеников делать это! Аналогичная проблема с самоочевидным кодом, когда браузер записывает какой-то обширный журнал своих собственных действий и позволяет вам его исследовать. Опять же, речь идет об исследовании фиксированной базы кода, тогда как настоящая цель книги не столько объяснить, как работает браузер, сколько убедить читателя в том, что они могут его написать.

"""

Q. Почему Павел не думает, что типичная концепция исполняемой книги подойдет его книге по разработке браузеров?
A. Исполняемые книги в основном посвящены чтению и пониманию уже существующего кода; он хочет, чтобы читатели действительно написали браузер.

Q. Чем «списки кодов» в таких играх, как Shenzhen I / O и The Incredible Machine, отличаются от таковых в типичных исполняемых книгах?
A. Они намеренно неполные: игроки должны заполнять пробелы.

При написании рукописей человек часто начинает с вывода (или, по крайней мере, с точки зрения) в уме, а затем мы пишем или проводим исследование, чтобы поддержать эту идею. Если мы не будем осторожны, эти предубеждения исказят наше мышление. Но если мы начнем с написания [[Вечнозеленые заметки]], мы можем позволить выводам и теме появиться в результате нашего тщательного обдумывания.

!!!Ссылки
Аренс, С. (2017). Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и писателей научно-популярных книг.

В тот самый момент, когда мы принимаем решение о гипотезе, наш мозг автоматически переходит в режим поиска, сканируя наше окружение в поисках подтверждающих данных, что не является хорошим способом обучения или исследования.

Линейный процесс, продвигаемый большинством учебных пособий, который безумно начинается с решения о гипотезе или теме, о которой следует писать, - это верный способ позволить предвзятости подтверждения расти. Во-первых, вы в основном фиксируете свое нынешнее понимание как результат вместо того, чтобы использовать его в качестве отправной точки, настраивая себя на одностороннее восприятие. Затем вы искусственно создаете конфликт интересов между достижением цели (поиском поддержки для вашего предвзятого аргумента) и генерированием инсайта, превращая любое отклонение от вашего предвзятого плана в бунт против успеха вашего собственного проекта. Это хорошее практическое правило: если понимание становится угрозой для вашего академического или письменного успеха, вы делаете это неправильно.
Поскольку важно [[Пишите о том, что вы читаете]] , мы должны быть осторожны с чтением по нашим телефонам: мы обычно не в состоянии или мышлении писать!
Это может быть опасно, потому что чтение статей по телефону может *показаться*, что это делает работу, но [[Знания должны срастаться]] , а такое чтение в основном не так. В основном это просто для развлечений.

В щепотку я могу использовать свой [[Карманный блокнот для записи в почтовый ящик во время недоступности компьютера]], пока я делаю заметки во время чтения на телефоне, но для этого требуется стабильная, плоская поверхность: в противном случае мне понадобится одна рука для телефона, одна рука для блокнота для заметок и одна рука для ручки.
Когда у меня возникает соблазн прочитать что-то тщательно по телефону, вместо этого я должен [[Закрыть открытые петли]] , используя [[Почтовый ящик для чтения для сбора потенциально полезных ссылок]]. Я могу просто добавить эту штуку в свою очередь и двигаться дальше.

!!Ссылки
* [[Примечания при чтении в Интернете и RSS * Метод Zettelkasten|https://zettelkasten.de/posts/reading-web-rss-note-taking/]] Чтение всей статьи на iPhone - это долгожданное времяпрепровождение, но это не эффективный способ расширить свои знания. Таким образом, я спрашиваю себя: ''хочу ли я прочитать что-то просто так , или мне нужно работать с этим позже?'' (edutain - развлечения, особенно видеоигры, с образовательным аспектом.) Ответ на этот вопрос определяет, буду ли я читать статью или просто уберу в закладки.

На телефоне я готовлю //вещи// - это веб-страницы и элементы новостной ленты - чтобы стать актуальной //вещью// с точки зрения моей системы управления знаниями. Вот для чего нужен список для чтения. Хотя я не могу писать заметки для своего архива разумным образом, я все равно могу решить, какие статьи я хочу принять к сведению. В этом отношении мой iPhone - это устройство для фильтрации Интернета и моих каналов.
Заметка для записи результатов использования нашего приложения

Похоже, что большинство людей могут вспомнить только несколько высокоуровневых деталей книги через несколько недель, если это так. Типичный читатель может потратить часы на то, чтобы закончить серьезную научно-популярную литературу, затем, возможно, она появляется на званом ужине, и они обнаруживают, что вы можете вспомнить три предложения. В основном нет подробного отзыва. Едва суть!

Более того: люди кажутся удивленными, когда это происходит. Кажется, они постоянно переоценивают, сколько они поглощают из книги.
Я не могу найти реальных эмпирических данных по этому вопросу, поэтому это в значительной степени анекдотическое утверждение. Некоторые легкие доказательства в предложении Амлундом и др., которые показали <50% бесплатного отзыва через несколько минут, даже когда читатели знали, что это тест.

Это замечание вызывает сожаление по многим причинам, но среди них: [[Глубокое понимание требует детального знания основ]] и [[Сложные идеи может быть трудно усвоить отчасти из-за того, что их компоненты переполняют рабочую память]].

Для общих возражений: [[Многие люди считают, что память не важна для глубокой творческой работы]].

!!!References
Matuschak, A. (2019). Why books don’t work. Retrieved from https://andymatuschak.org/books
[[Quantum Country]] предполагает, что вы ответите на все вопросы. Это разумное предположение для вводного текста, посвященного знанию платформы: подавляющее большинство читателей либо уже знают весь материал, либо должны будут знать практически все ([[Мнемоническая среда особенно хорошо подходит для познания платформы]]). Но это предположение не сработает во многих других контекстах. В будущих версиях [[Мнемоническая среда]] необходимо будет сделать ее более гибкой.

Например, если вы пишете большой учебник, читатели обычно не читают его целиком - они сосредотачиваются на определенных темах. Среда должна учитывать выборочный интерес к определенным разделам или подразделам.

И у них будет разное прошлое; некоторым не нужны все подсказки. Если мы перенесемся в будущее, в котором практика запоминания станет повсеместной, читатели будут часто сталкиваться с «повторяющимися» подсказками. Таким образом, среда должна позволять читателям пропускать, отбрасывать или повторно микшировать подсказки, даже если они считаются «полезными по умолчанию» для других.

В убедительном письме и неформальном обсуждении подсказки будут играть совершенно иную роль. Возможно, имеет смысл делать запросы в этих жанрах по умолчанию, а не отказываться. В этом типе элементов подсказки могут больше походить на заметки на полях, доступные для заинтересованных сторон.

См. также: [[Как мнемоническая среда может помочь читателям в жанрах, не связанных с платформой?]]

!!!Возможные решения

* В контексте подписки по умолчанию подсказки должны иметь действие «пропустить» или «не сейчас». Этот механизм потенциально может использовать преимущества механики интервального повторения: эта подсказка может снова появиться в сеансе проверки через несколько недель. Если снова «пропустить», он может исчезнуть на несколько месяцев. Это удовлетворяет потребность в потенциально деструктивных операциях «удалить» или «отключить», но без принятия решения с высокими ставками: [[Интервальное повторение может снизить ставки в отношении разрушительных операций по обслуживанию почтового ящика]].

* В контексте отказа по умолчанию подсказки могут быть больше похожи на маргиналию. Может быть лучше «разложить» карточки в контексте отказа по умолчанию (а не «складывать» их), чтобы читатели могли увидеть их все и выбрать одну или две, которые кажутся важными. Здесь будет очень сложно передать разницу в поведении по умолчанию.

!!!Способы, которыми, по мнению Quantum Country, читатели будут отвечать на все запросы

* Механика прогресса сосредоточена вокруг «процента выполнения», а знаменатель - это общее количество подсказок в эссе.
** Прогресс полностью замедлится, если вы не ответите на все вопросы в эссе: вы не сможете пройти ни один из более поздних уровней, не пройдя уровень в тексте.
** Этот механизм можно было бы относительно легко адаптировать к гибкости на уровне раздела, но он потребует более существенных изменений, чтобы приспособиться к комплектации и выбору.
* Когда вы отвечаете на вопрос в эссе, он добавляется в вашу коллекцию, и нет возможности удалить его или пропустить постфактум.
[[Мнемоническая среда особенно хорошо подходит для познания платформы]], но мы подозреваем, что она может помочь читателям глубже познакомиться с материалами других жанров, например:

* убедительное письмо
* неформальная дискуссия
* справочный материал
** Макс Розер (2020-06-15) отмечает, что в некотором смысле OWiD больше похож на расширенную электронную таблицу, чем на расширенную прозу.
* научные статьи
* Обсуждения Twitter: темы [[Twitter могут быть интересным контекстом для мнемонической среды]].

Некоторые проблемы из работы: [[Уроки, извлеченные из применения мнемонической среды к нетехническим текстам]].

Одно существенное различие между этими жанрами и знаниями платформы будет заключаться в значительном увеличении вариативности пользователей - как с точки зрения мотивации / цели, так и с точки зрения предшествующих знаний. Я полагаю, что для этого потребуется, чтобы среда стала более гибкой. [[Как мнемоническая среда может адаптироваться к разному опыту и целям читателей?]]

Я подозреваю, что один из ключевых подходов будет заключаться в том, чтобы меньше использовать носитель для создания подробной памяти и больше с точки зрения [[Мнемоническая среда удерживает читателей в контакте с материалом с течением времени]].

Один фрейм, связанный с вопросом: [[Что, если бы мнемоническая среда была переработана как средство для более глубокого взаимодействия с текстом?]]

Связанные потенциальные механизмы:

[[Встроенные шаблоны подсказок могут активно формировать написание подсказок для читателей мнемонического носителя]].
[[Мнемоническая среда]] помогает читателям вспомнить , что они читали, и это является важным первым шагом на пути к пониманию ([[Глубокое понимание требует детального знания основ]]). Мы также используем эти подсказки, чтобы помочь читателям приобрести концептуальные знания: [[Системы памяти с интервалом повторения могут быть использованы для развития концептуального понимания]]. И мы вышли за рамки воспоминаний: [[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]]. Так. Как мы можем продолжить [[Таксономия Блума]] для поддержки более сложных типов понимания? Связанные с этим ранние эксперименты показывают, что это может быть возможно: [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]].

Один из возможных вариантов - сосредоточиться на [[Передача обучения]] (например, [[Мнемоническая среда может включать подсказки, поддерживающие ближний перенос]].

Решение, вероятно, будет включать добавление сложности к подсказкам с течением времени, возможно, введение ориентированных на синтез подсказок после того, как читатели уже твердо вспомнят. См . [[Мнемоническая среда может быть адаптирована для создания опыта, который разворачивается во времени]].
[[Массовое внедрение мнемонической среды, по-видимому, требует массового внедрения веб-публикаций]]. Более того: многие важные книги вообще недоступны в цифровой форме; многие люди предпочитают печатные книги и электронные книги. Техническая аудитория будет продолжать использовать PDF-файлы целую вечность. А как насчет аудиокниг и видео? Было бы очень эффективно, если бы мы могли «поднять» существующие средства массовой информации в среду, не жертвуя ее мощностью.

Ни один из приведенных ниже подходов на самом деле не хорош, но, возможно, их итерации могут быть?

!!!Приложение «Companion reader»

Перед вами открыта бумажная книга; вы кладете рядом свой телефон и открываете приложение Mnemonic Companion. Вы сканируете штрих-код книги, и он отображает оглавление (возможно, частично отредактированное по юридическим причинам) и селектор номеров страниц. Вы сообщаете приложению, что читаете страницу 312. На экране отображается стопка вопросов и большой заголовок, который гласит: «Ответьте на них в разрыве раздела на странице 314». Вы начинаете читать бумажную книгу, выделяя и прикрепляя пометки, и отвечаете на вопросы в подходящем месте. Приложение перейдет к следующей точке останова, и вы продолжите чтение.

Такой подход - огромная путаница. Читатели должны помнить, где они должны остановиться, следить за этой точкой и переключаться между двумя медиа. Это похоже на боль. Я подозреваю, что уровень соблюдения будет намного ниже, чем в Quantum Country.

Но это очень гибкий подход, который можно адаптировать практически к любой предшествующей медиа-форме. Это не требует сотрудничества между автором и издателем, и вопросы могут быть получены от различных производителей (связанных: [[Аудиокниги производятся в соответствии с самыми разными бизнес-моделями]]).

По отдельности канал распространения ужасен: кто-то, читающий книгу, должен решить отдельно искать дополнительные материалы по ней, проверить наше приложение на предмет поддержки и, возможно, заплатить отдельно за этот материал. Обсуждение книги / PDF-файла в Twitter не указывает людям на этого собеседника. Никаких значимых сетевых эффектов нет.

!!! Пользовательская программа для чтения PDF / EPUB

Мы могли бы создать собственные приложения для чтения PDF или EPUB, которые добавляли бы эти элементы в существующие медиа-формы. Или, может быть, это веб-программа просмотра в стиле букмарклетов: добавьте к любому URL-адресу PDF-файла «http://mnemonic.com», чтобы прочитать его в этой форме, и т.д.

Сделать это для EPUB на самом деле нецелесообразно, пока DRM остается повсеместным. Электронную книгу, купленную на законных основаниях, невозможно открыть в нашем ридере. Таким образом, чтобы сделать это с электронными книгами, мы должны были бы превратиться в магазин электронных книг. Фу.

Это будет огромная работа. Здесь большие проблемы с каналом сбыта.

Честно говоря, лучший подход к PDF-файлам - это, вероятно, один из бесчисленных инструментов «PDF-to-web page». Возьмите академический PDF; превратить его в веб-публикацию; затем улучшите его (например, превратив любую веб-страницу в мнемоническую среду).

!!!Очки AR

Если в будущем мы все будем носить очки AR, мы сможем волшебным образом улучшать книги разными интересными способами. Слишком далеко, чтобы серьезно относиться к этому? Если слухи о предложении Apple очков 2022 года верны, шлемы с дополненной реальностью могут вскоре стать довольно популярными...
[[Исследуемые объяснения]] и [[Мнемоническая среда]] - это круто, но интерактивные статьи и практика интервального повторения далеко от того, где находится реальный смысл. [[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]]. Как мы можем адаптировать эти типы мощных инструментов, чтобы их можно было разместить в рамках глубоко значимых взаимодействий?

Что, если бы «практические занятия» для [[§Система интервального повторения]] можно было бы полностью исключить, вместо этого структурируя аутентичную среду так, чтобы «практика» естественным образом происходила через повседневные действия? например: [[Twitter - это своего рода программируемое внимание]]; [[Ведение вечнозеленой заметки - это интервальное повторение]]. Связанный: [[Доминирующая культура систем памяти с интервальным повторением зациклена на бессмысленных целях]].

Что, если бы абстрактные статьи на темы можно было бы внести в социальную среду, которая придает им смысл? [[Связь прозы и окружающей ее беседы в Твиттере]].

Что, если бы «учебная среда» была внутренне встроена в контекст их использования? например, [[Primer++ встроен в поле, стимулируя участие через принятый опыт]]
Важно [[Пишите о том, что вы читаете]]. Во время чтения вы отмечали отрывки, которые кажутся важными, и делали заметки со своими мыслями ([[Как собирать наблюдения во время чтения]]). Теперь мы превратим все это в долговечные заметки.

Во-первых: какие заметки нужно писать? [[Вечнозеленые заметки должны быть концептуальными]], так каковы ключевые концепции? Вам нужно сделать шаг назад и составить картину общей структуры идей. Конкретно, вы можете сделать это, сгруппировав свои обрезки в груды и наблюдая за возникающей структурой. Или вы можете набросать интеллектуальную карту или визуальный план. Структура, которую вы наблюдаете, не обязательно должна соответствовать структуре книги: это все, что имеет смысл относительно вашей личной онтологии ([[Думайте самостоятельно]]).

Как только вы получите представление о действующих концепциях, вы начнете итеративный процесс написания заметок. Здесь я резюмировал процесс Кристиана Титце, который в настоящее время перенимаю / адаптирую:

# ''Напишите общую заметку'', которая отражает «большую идею» одного из ваших кластеров. Есть несколько больших идей? Напишите несколько общих заметок, чтобы заметки Evergreen были атомарными.
# ''Пишите более мелкие заметки'': просмотрите отдельные записки в этой группе. Делайте заметки, которые фиксируют более тонкие атомарные идеи в рамках этого кластера.
# ''Подключиться'': поиск соответствующих прошлых заметок, которые относятся к этим новым заметкам. Связывайте, объединяйте и пересматривайте по мере необходимости, чтобы представить вашу новую, синтезированную концепцию этих идей. См. Заметки Evergreen должны быть тесно связаны и Создавайте умозрительные контуры во время письма.
# ''Исправление'': вернитесь к общей заметке и улучшите свое резюме на основе того, что вы узнали, написав подробные заметки, и деталей, которые вы распаковали, если это возможно, не сбивая их с толку. Удалите подробные заметки, которые больше не нужны; при необходимости обновите других на основе того, что вы узнали, написав обновленную общую заметку.
# ''Петля''

!!!References
Create Zettel from Reading Notes • [[Zettelkasten Method|https://zettelkasten.de/posts/create-zettel-from-reading-notes/]]

Во-вторых, я выясняю, есть ли у основной идеи кластера слишком много предпосылок для самостоятельной работы. Это может быть вывод, сделанный на основе множества предположений или сложных моделей, которые мне нужно будет объяснить. Сначала я готовлю заключение, а затем перехожу к другим заметкам, чтобы зафиксировать все необходимые идеи. Вот здесь и пригодятся ссылки: детали указывают на концептуальную записку, а в концептуальной записке упоминаются ее подробные ветви.

Кластеры не опираются на план книги. Индекс книги, например, собирает ссылки, не заботясь о содержании или потоке идей. Для определений терминов полезен аналогичный подход: собирайте примеры использования в тексте и сами определения, чтобы получить четкое представление о значении термина. Кластеры также могут быть тематическими, как и индекс.

Это то, что я называю «ортогональным содержанию»: они не придерживаются последовательности страниц и разделов. Вместо этого кластеры образуются вокруг любой цели, которую вы сочтете подходящей.


Ahrens, S. (2017). How to Take Smart Notes: One Simple Technique to Boost Writing, Learning and Thinking – for Students, Academics and Nonfiction Book Writers.

Убедитесь, что вы сможете найти эту заметку позже, либо сделав ссылку на нее в своем индексе, либо сделав ссылку на нее в заметке, которую вы используете в качестве точки входа в обсуждение или тему и которая сама связана с индексом.
Мы совсем не знаем! Это важный вопрос, который необходимо решить.
Важно [[Пишите о том, что вы читаете]], но мешает переключение между чтением и написанием хороших заметок.  Вместо этого собирайте идеи лёгким способом во время чтения.  Вы можете поместить их в [[Почтовый ящик для временных и неполных заметок]]. Это позволит [[Закрыть открытые петли]], и вы обработаете их позже (см. раздел  [[Как превратить аннотации чтения в вечнозеленые заметки]]).

Аннотации - даже строчные [[Маргиналии|https://ru.m.wikipedia.org/wiki/Маргиналии]], которые включают ваше собственное письмо - имеют очень небольшую информационную ценность.  Они распыляют; они не относятся друг к другу; они ни к чему не складываются; они ультрасжаты; они в значительной степени неотредактированы.  Это нормально: считайте их просто напоминанием.  Они говорят: «Эй, посмотри на этот отрывок» с несколькими словами контекста, чтобы вспомнить, о чем был этот отрывок.

Поскольку вы все равно собираетесь писать долгосрочные заметки, аннотации должны иметь достаточно информации, чтобы воссоздать ваш ментальный контекст в этот момент чтения. Вы бы не хотели полагаться на эту долгосрочную перспективу, с тех пор у вас будет просто огромная куча крючков, за которыми вам придется «следить» в любое время, когда вы захотите подумать о своем опыте работы с этой книгой.
При обработке этих наблюдений вы захотите иметь возможность видеть общую картину и кластеры идей, поэтому полезно собирать аннотации манипулируемым образом.

Конкретно, подход, который я пытаюсь использовать:

* Физические книги:
** Напишите пару слов на листе бумаги формата A7. ( [[Карманный блокнот для записи в почтовый ящик во время недоступности компьютера]] )
** Нарисуйте точку или линию на полях интересных отрывков и придерживайте страницу.
* Интернет-статьи:
** Скопируйте и вставьте интересные отрывки в одну рабочую заметку в моем почтовом ящике.
** Или, возможно, используйте тренажер Bear в сочетании с маркером.
* Электронные книги и PDF-файлы:
** Используйте маркеры в приложении
** Экспортируйте все основные моменты в рабочую заметку в папке «Входящие» в кластер TODO
 
Я нахожу цифровые решения совершенно неудовлетворительными: в этих решениях медленный и тяжелый переход между аннотациями.


!!!Ссылки

https://zettelkasten.de/posts/making-proper-marks-in-books

Текст вдохновил на мысль, а вдохновляющая часть уже отмечена в тексте.

https://zettelkasten.de/posts/create-zettel-from-reading-notes

Делать заметки на моем Mac во время чтения для меня просто не работает. Мое состояние при наборе текста слишком отличается от состояния, в котором я нахожусь, когда читаю печатный текст. Чтобы двигаться вперед и назад, нужно постоянно переключать мыслительные механизмы. Во-первых, это меня через какое-то время утомляет. Во-вторых, это переключение портит фокус: я не могу правильно следить за текстом. Вот почему я делаю заметки на бумаге и отмечаю отрывок, на который хочу сослаться, звездочкой * на полях страницы.
Представьте, что я добавляю 40 новых запросов в день, что я всегда получаю их все правильно в каждом обзоре, и что их интервалы расширяются в соответствии с фиксированным расписанием Quantum Country. Через год я буду анализировать:

* подсказки от 5 дней назад
* подсказки добавлены 5 + 14 = 19 дней назад
* подсказки от 19 + 30 = 49 дней назад
* подсказки от 49 + 60 = 109 дней назад
* подсказки от 109 + 120 = 229 дней назад

Итак, в этом случае я просматривал 200 подсказок. Если сохраняется шестисекундное среднее значение, это 20 минут в день. Если мы настаиваем на 10-минутном ограничении, то у меня получается 100 запросов, что означает около 20 новых запросов в день.

Из-за экспоненты два года мало что меняют. Если я продолжу добавлять 40 в день, после добавления еще ~ 15 тысяч в следующем году, я буду просматривать 240 в день (около 24 минут). Если мы хотим придерживаться 10-минутного лимита, это будет означать 17 новых запросов в день. Третий год добавляет еще 40 ежедневных запросов при этих предположениях; четвертый год ничего не добавляет.

Конечно, это при условии, что я все время получаю правильный ответ. Предполагая, что частота ошибок составляет 10%, через год я бы просмотрел 241 запрос вместо 200. Не так уж плохо! Это увеличивает мою 10-минутную пропускную способность с 20 в день (7,3 тысячи в год до 16 в день (5,8 тысячи в год). При 5% -ном коэффициенте ошибок это 18 в день (около 6,5 тысяч в год). Разница существенная. Достаточно, чтобы за ним следовало заниматься, но это не решающий момент.Частота ошибок 20% дает пропускную способность 13 в день (около 4,8 тыс. в год).

Другими словами, если вы можете уменьшить частоту ошибок с 20% до 5%, вы можете добавить еще 1/3 подсказок за тот же период проверки.

См. также [[Оптимизация расписания системы интервальных повторений]].
[[Читатели Quantum Country надежно развивают детальное удержание]], но эти данные являются коррелятивными. Какое причинное влияние?

Неформальный эксперимент в третьем квартале 2019 года продемонстрировал многообещающий причинно-следственный эффект обзорных сессий. Мы удалили 8 вопросов из набора пользователей, которые оставили свои обзоры в обычном режиме, а затем снова вставили их в свои сеансы через 2 недели.

По сравнению со своими сверстниками, которые рассматривали эти 8 вопросов в течение этих двух недель, читатели с отложенными обзорами увидели, что их точность упала на 4 пп, тогда как точность контрольных читателей увеличилась на 7 пп. 40% читателей с отложенным обзором увидели снижение эффективности; напротив, производительность каждого считывателя элементов управления осталась прежней или улучшилась.
В этой заметке собраны идеи о том, как закодировать знания в подсказках [[§Система интервального повторения]], как для поддержки запоминания фактов, так и для содействия более глубокому пониманию ([[Системы памяти с интервалом повторения могут быть использованы для развития концептуального понимания]]).

Смотрите [[Как писать хорошие подсказки|https://andymatuschak.org/prompts/]] (2020) для опубликованной рукописи по этой теме.

Незавершенная работа:

* [[Подсказки с интервалом повторения в памяти должны быть краткими]]
* [[Запоминания с интервалом повторения обычно должны фокусироваться на одной атомарной единице]].
* [[Подсказки с интервалом повторения в памяти должны кодировать идеи с разных сторон]].
** [[Подсказки с интервалом повторения в памяти должны связывать и связывать идеи]]
* [[Подсказки с интервалом повторения в памяти должны однозначно давать конкретный ответ]].
** [[Подсказки должны четко указывать, какой «формы» ответа они ожидают]].
* [[Запоминания с интервалом повторения должны гарантировать, что рецензенты должны извлекать ответы из памяти]]
** [[Избегайте повторения подсказок типа «ДА - НЕТ»]]
* [[Запросы памяти с интервалом повторения должны быть написаны, чтобы препятствовать поверхностному «сопоставлению с образцом»]]
* [[Запросы на «заполнение пробела», кажется, дают меньше понимания, чем пары вопрос / ответ в системах памяти с интервальным повторением]].
* [[Эвристика ответа эксперта, after Issa Rice]]

“Covering” material:

* [[Избегайте сиротских подсказок с повторяющимися интервалами в памяти]]

Мета / ментальные модели:

* Напишите больше подсказок для повторения, чем кажется естественным
* [[Дизайн подсказок с интервалом повторения предназначен для разработки задач для себя в будущем]].

По теме: [[Метафора «отраженного эссе» для обозначения цели мнемонической среды]].

!!!References

Matuschak, A. (2020). How to write good prompts: using spaced repetition to create understanding. https://andymatuschak.org/prompts

See section Improving the mnemonic medium: making better cards in How can we develop transformative tools for thought? and Nielsen (2018, 2019).

Nielsen, M. (2018). Augmenting Long-term Memory. http://augmentingcognition.com/ltm.html

Nielsen, M. (2019, January). Using spaced repetition systems to see through a piece of mathematics. http://cognitivemedium.com/srs-mathematics

Wozniak, P. (1999, February). Effective learning: Twenty rules of formulating knowledge. https://www.supermemo.com/en/archives1990-2015/articles/20rules
Когда вы думаете или делаете что-то новое и сложное, один из распространенных режимов неудач заключается в том, что *наименьший возможный шаг* по инкрементации все еще может быть слишком трудным для осмысления - вы не можете взобраться на следующую ступень.

В этих случаях лучше всего принять среду, которая будет возводить [[Когнитивный каркас]] для поддержки части когнитивной нагрузки, позволяя сделать следующий шаг. По мере того, как пользователь наращивает потенциал, "строительные леса" могут быть постепенно удалены либо им, либо его окружением. Временный характер каркаса делает это подмножеством механизмов для увеличения познания.

Каркасы обычно являются авторскими (создаются). Иногда создаются неавторизованные каркасы; например, серия постепенно углубляющихся бассейнов может обеспечить прекрасную естественную среду для обучения плаванию.

Авторские каркасы могут быть статичными или динамическими. Книги часто включают в себя статические леса, такие как повествование ([[Повествование как когнитивная опора]]) или ограничения ([[Ограничения как когнитивные опоры]] ). Статическая  [[Среда участия]] (например, рабочая тетрадь) также может включать тщательно написанные последовательности действий ([[Детализированная последовательность задач как когнитивная опора]]).

Динамические когнитивные каркасы могут быть более мощными, потому что они ведут себя и реагируют на учащихся. Великие учителя поддерживают высокодинамичную учебную среду на каркасах в своих классах - иногда почти незаметно, подталкивая и управляя разговорами, чтобы поддерживать значимость, чтобы исчезнуть по мере роста учащихся.

Одним из распространенных типов динамических лесов является просто статические леса, постоянно регулируемые в ответ на акторов. В этом смысле динамические леса являются надмножеством статических лесов.

Одним из особенно важных видов динамических лесов являются метакогнитивные опоры. Среди медиа-форм игры особенно эффективны в поддержке метапознания. См. раздел  [[Метакогнитивная поддержка как как когнитивная опора]] и  [[Метакогнитивная поддержка требует совместной динамической среды]].
Распространенный стереотип состоит в том, что офисные работники проводят весь день на бесполезных встречах, болтают с коллегами, посещают переговоры, поддерживают отчеты и т.д. Но это не так - эти занятия иногда весьма ценны!

К сожалению, творческая работа - это тяжелая деятельность. Когда возникают проблемы, легко провести весь день, посещая собрания или отвечая на вопросы - не потому, что вы решили, что это самое ценное, что нужно делать, а потому, что вы занимаетесь [[Замещение деятельности]], ''избегая'' своей настоящей работы. 
Проблема здесь не в том, что эти занятия никогда не приносят пользы и что всем будет лучше, если они отменит все свои собрания. Дело в том, что эти действия иногда весьма ценны, поэтому очень легко не заметить, когда вы на самом деле используете их, чтобы спрятаться.

Я заметил, что при работе в одиночку замещение становится более очевидным. Нет списка рассылки с вопросами, на которые нужно ответить, поэтому действия по резервному копированию часто больше похожи на серфинг в Интернете, или на уборку дома, и на что-то еще. Сложнее случайно убедить себя, что это работа!
Контекстная обратная ссылка отображает не только ссылку из другого места, но и конкретный контекст вокруг этой ссылки - например, страницу книги или ссылающийся абзац.

Связанные: [[Отдавать предпочтение мелкозернистым ассоциациям]]
«Концептуальный дескриптор» - это запоминающаяся именная фраза, представляющая сложную, часто абстрактную тему. Например: «дилемма заключенного», «окно Овертона», «вера в веру» и т. д. В моем собственном сочинении примеры включают в себя благоприятную среду , реализованный опыт и т. д. «Концептуальный дескриптор» представляет собой дескриптор концепции, придуманный Скотт Александр .

Удачная обработка концепций может действительно усилить расплывчатую идею, которую многие люди вроде бы понимают, но не могут указать и о которой говорить. Если дать этому расплывчатому понятию четкое, запоминающееся название, вы сможете разблокировать много разговоров и размышлений. Пер Александр:

::Я вряд ли открою для себя какое-то совершенно новое социальное явление, о котором раньше никто не думал. Но есть много вещей, о которых люди имеют смутные туманные представления, которые они не могут выразить словами. Превратить их в кристально чистые идеи, которыми они могут манипулировать и обсуждать с другими, - это большое дело.

Если вы придумываете что-то интересное и очень кратко вбиваете это в чью-нибудь голову, не тратьте это зря! Дайте ему красивую концепцию-дескриптор, чтобы они запомнили его и могли использовать для решения других проблем!

Один из способов представить себе дескрипторы концепций - это [[Заголовки вечнозеленых заметок похожи на API]].

TODO Это связано с Максима стоиков - сделать заметку на эту тему

!!!References

https://slatestarcodex.com/2016/02/20/writing-advice/

[[Советы по написанию документальной литературы]] - это гугл транслейт этой ссылки
Первоначально охарактеризованная [[Hermann Ebbinghaus]], «кривая забывания» описывает класс связанных степенных явлений, связанных с забыванием и памятью: грубо говоря, «сила восстановления» памяти (см. [[Двухкомпонентная модель памяти]]), кажется, уменьшается по степенному закону. кривая после первоначального экспонирования.

Первоначальные эксперименты Эббингауза установили кривую забывания с точки зрения количества усилий, необходимых для повторного изучения бессмысленных слогов по прошествии некоторого времени. Больше времени требовалось, поскольку интервал сеанса увеличивался вдоль того, что он считал экспоненциальной кривой.

Последующая литература (например, Wickelgren, 1974) переосмыслила этот эффект как вероятностный (и степенной, а не экспоненциальный): вероятность отзыва со временем падает по обратной степенной кривой, которая также модулируется экспоненциальной составляющей, учитывающей помехи.

Wixted и Carpenter (2007) резюмируют кривую забывания как:
P (отзыв) = m (1 + ht) ^ - f,
где m - степень начального обучения (т.е. вероятность в момент времени 0), h - коэффициент масштабирования по времени. , f - коэффициент экспоненциального затухания памяти.

!!!References
A Contribution to Experimental Psychology (H. A. Ruger & C. E. Bussenius, Trans.). (Original work published 1885)

Wickelgren, W. A. (1974). Single-trace fragility theory of memory dynamics. Memory & Cognition, 2(4), 775–780.

Wixted, J. T., & Carpenter, S. K. (2007). The Wickelgren power law and the Ebbinghaus savings function. Psychological Science, 18(2), 133.
Природа не терпит пустоты; современная культура не терпит молчания или тишины. Если у меня появляется свободное время, то, по-видимому, культурно «по-умолчанию» я должен его заполнить - чтением или прослушиванием (книги, статьи, подкасты), дружеским разговором, задачей, ориентированной на исполнение. Эти занятия, конечно, могут быть успокаивающими и приятными, но они часто сочетаются, так, что дни или недели могут легко пройти без непрерывного часа, проведенного в глубоких размышлениях о собственных идеях. В почтовом ящике (чтение, электронная почта, вкладка браузера, список дел) всегда много чего другого.

Некоторое программное обеспечение для совещаний имеет счетчики, которые показывают, сколько говорит каждый участник - сколько «эфирного времени» каждый из них потребляет. Вы можете представить, как распространить ту же концепцию на мысли и мысленную речь. Проницательность, конечно же, требует входных данных, поэтому вы не захотите уединяться на неопределенное время. Но как вы можете отойти от проторенных творческих путей, если чужие голоса постоянно потребляют гораздо больше умственного «эфирного времени», чем ваши собственные? [[Трудно услышать свои собственные мысли]] .

Странно, что это, кажется, ситуация по умолчанию, даже в номинально творческих рабочих ролях. См. также:  [[Замещение деятельности]]. Есть одно очень полезное противоядие: [[Скучайте]]
[[Беседы и занятия создают давление и эмоциональную подпитку для понимания]], но сама лекция часто имеет довольно ограниченное воздействие. В идеале вы бы скомпилировали свое новое понимание в какие-нибудь заметки для публикации или книгу, чтобы расширить охват.

Во многих случаях лучше сделать это незадолго до или после разговора: ваша эмоциональная связь особенно высока в этот момент, и весь материал загружен в ваш разум. Поскольку делать эти вещи параллельно сложно, более очевидной стратегией является написание текста для публикации после занятия, но тогда вы можете найти материал относительно скучным, и вам может быть неинтересно его перефразировать. [[Трудно поддерживать эмоциональную связь с творческим проектом во время задержек и перерывов]].

::Есть один способ понять другую культуру, живя в ней. Переместитесь в неё, попросите, чтобы вас терпели как гостя, выучите язык. В какой-то момент может прийти понимание. Это всегда будет без слов. В тот момент, когда вы поймете, что чуждо, вы потеряете желание объяснять это. Объяснить явление - значит дистанцироваться от него.
Питер Хёг, Smilla's Sense of Snow
[[Глубокое понимание требует детального знания основ]], но [[Многие люди считают, что память не важна для глубокой творческой работы]]. Во многих случаях это кажется неудачной жертвой бессмысленного заучивания наизусть в школе: эти переживания казались неприятными и бесполезными, поэтому запоминание память в целом должна быть неприятной и бесполезной. Но при когда его преследуют в поддержку подлинного любопытства или значимого стремления, запоминание может быть как полезным, так и стимулирующим.

См. раздел [[Цели обучения часто подрывают себя]], чтобы узнать больше об антиобразовательной точке зрения этой заметки.

---
"""
Q. Какие ложные обобщения делают многие люди из своего негативного опыта заучивания наизусть в школе?
А. Запоминание должна быть неприятной и не иметь значения для важных вещей.

Q. Как опыт школьного возраста часто приводит к общему отвращению к запоминанию?
А. Заучивание наизусть в школе часто неприятно и бессмысленно.
"""

---

!!!References

Matuschak, A., & Nielsen, M. (2019, October 0). [[How can we develop transformative tools for thought?|https://numinous.productions/ttft]]

Итак, означает ли все это, что мы поклонники механической памяти, своего рода принудительного запоминания в обычных школах? Конечно, нет. Мы действительно считаем, что неприязнь многих людей к механическому запоминанию привела их к общей неприязни к памяти и, как следствие, к недооценке той роли, которую она играет в познании. На самом деле память - это центральная часть познания. Но правильный ответ на это - не бесконечное утомительное заучивание наизусть. Скорее, нужно использовать хорошие инструменты и здравый смысл для запоминания того, что действительно важно.
За свою жизнь люди приобретают тысячи навыков - измельчать овощи, читать книги, писать от руки, составлять бюджет и т. д. Эти навыки обычно не улучшаются линейно в течение жизни человека. Вместо этого люди сосредотачиваются на навыке в течение некоторого начального периода, затем он достигает некоторого «достаточно хорошего» плато, а затем в основном остается на нем. Некоторое более позднее событие может привести к тому, что навык снова начнет улучшаться, но, как правило, это нарушенное равновесие.

Это происходит из-за того, что [[Наивные подходы к практике: быстрое плато]]. Как только это плато достигнуто, требуются новые усилия для продолжения прогресса: [[Плато производительности часто требует изменения подхода к преодолению]]. В этот момент дополнительные усилия могут не окупиться, или может быть неясно, как улучшить. Или возможность улучшения может не быть заметной: [[Значимость улучшения способствует развитию навыков]].

Per Thorndike (1921, p. 178):
Основная причина, по которой мы пишем медленно и неразборчиво, добавляем медленно и с частыми ошибками, откладываем ответы на простые вопросы и простые решения между действиями, ... забываем имена людей и наши собственные обязательства, теряем самообладание и т. не то чтобы мы делали все, что в наших силах, в этом конкретном случае. Дело в том, что нам нужно сделать слишком много других улучшений, или мы не знаем, как направить нашу практику, или действительно недостаточно заботимся об улучшении, или некая смесь этих трех условий.

Редко бывает, чтобы люди приближались к своему пределу, или даже незначительное улучшение было бы ужасно трудным. Он приводит забавный пример: Ашаффенбург (1896) проводил ежедневные тесты скорости для опытных наборщиков и без какого-либо другого стимула наблюдал, как они каждый день улучшают свою скорость.

Одно из ярких проявлений этого наблюдения: [[Спортсмены и музыканты гораздо более строго преследуют виртуозность в фундаментальных навыках, чем работники, занимающие знаниями.]].
Многие блоггеры и «лайф-хакеры» проделали постоянную работу, предложив, как вы должны организовать свой журнал или как вы должны наиболее эффективно [[Пишите о том, что вы читаете]] . Мы должны серьезно отнестись к этому совету, поскольку эта практика помогла авторам достичь значимой творческой работы:  [[«Лучшее ведение заметок» упускает суть; важно «лучшее мышление»]]. 

Но большинство людей, которые пишут о ведению заметок, не кажутся особенно совершенными в своих собственных областях, какими бы они ни были. На самом деле, большинство таких писателей не применяют свои заметки к какой-либо экзогенной творческой проблеме: их основная творческая работа *- это*написание о производительности. Эти писатели предлагают советы по ведению заметок, чтобы помочь ученым и руководителям справиться с проблемами их работы, но советы были разработаны в контексте, оторвающемся от этих внешних реалий. Здесь есть две связанные с этим проблемы:  [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]] , и  [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]].

Луманн, напротив, едва писал о своем  [[Zettelkasten]] : он сосредоточился на своих плодовитых результатах исследований, а затем опубликовал пару небольших эссе о своих практиках ближе к концу своей карьеры.

Я сам не совсем виноват в этой проблеме, но я, безусловно, погружаюсь в такое поведение неделями за раз. Это предостерегающая заметка. Похожее:  [[Самые эффективные читатели и мыслители, которых я знаю, не делают заметок при чтении]].
Самая простая стратегия масштабирования [[Превращение любой веб-страницы в мнемоническую среду]] - неприменима к большинству текстов (даже новых), потому что они не публикуются в виде [[Web-книги]].

Современные издатели привыкли готовить заголовки для множества мест назначения (макеты для печати, EPUB, копии в формате Kindle), но немногие публикуют их в виде веб-страниц. Те, кто предлагает онлайн-чтение, обычно делают это через (ужасный) веб-ридер EPUB. O'Reilly - интересное исключение: они представляют книги в Интернете как прямые веб-страницы.

Однако EPUB - это веб-страницы с ограничениями, поэтому любой, кто готовит EPUB, не так уж далек от веб-публикации.

!!!Возможные препятствия на пути массового внедрения веб-публикаций

См. Общие комментарии в разделе [[Массовое распространение письменных средств массовой информации с новыми когнитивными функциями требует массового распространения чтения на компьютерах]].

!!!Зарабатывать деньги

Если вы делаете EPUB, Amazon занимается распространением. Если вы публикуете веб-книгу, вы занимаетесь ее распространением. Думаю, это препятствие для многих.

Было бы хорошо, если бы будущие книги можно было бы сделать доступными в открытой сети, мгновенно связанными без каких-либо препятствий. Такой подход потребует от авторов какого-то способа зарабатывать деньги. Я не уверен, что это такое. У микроплатежей за контент сложная история, но, возможно, криптовалюта изменит ситуацию. Реклама - неудачное решение, и я скептически отношусь к тому, что они могут приносить достаточный доход. Модели чаевых работают для некоторых авторов, публикующих статьи в Интернете, но они не кажутся предсказуемыми и достаточно масштабируемыми для массового внедрения.

Я думаю, что до тех пор, пока традиционные издатели будут участвовать в этом процессе, большинству просто потребуются единовременные платежи. Я не знаю ни одного общего сервиса, который позволил бы вам разместить веб-книгу за одноразовым платным доступом. Gumroad делает это для загружаемого контента. Похоже, что для этого есть плагины Wordpress, но они не выглядят идеально.

!!!Издательские инструменты

Если вы публикуете печатную книгу, вы используете InDesign. Если вы публикуете электронную книгу, Amazon предлагает бесплатные инструменты для массового рынка, которые, например, можно легко конвертировать из документа Word. Если вы публикуете веб-книгу… что именно вы делаете? Может быть, Wordpress справится с серверами, но как вы помещаете книгу в Wordpress? Наверняка вы не писали это в редакторе Wordpress.
К сожалению, [[Читать тексты на компьютере неприятно]]. Может быть, отчасти поэтому [[Популярность электронного чтения резко уступает всем книгам]].

Со стороны авторов тоже есть проблемы:

* [[Массовое внедрение мнемонической среды, по-видимому, требует массового внедрения веб-публикаций]].
* [[Авторы могут получать больше от продажи печатных изданий (если также продают электронные книги)]].
Попытка извлечь информацию из памяти, к которой трудно получить доступ, будет иметь ''большее влияние'' на последующие попытки извлечения, чем попытки получить информацию, к которой легко получить доступ (в памяти).

::TODO Высказано как гипотеза [[Роберт А. Бьорк]] и Бьорка (1992), синтезируя совокупность эмпирических исследований, опубликованных в другом месте (которые я не исследовал).::
[[Insight через создание]] для [[Инструменты для размышления]] требует разработки новых программных интерфейсов, которые выражают теории предметной области, а затем изучения этих интерфейсов и их использования для улучшения ваших теорий. 

На практике довольно сложно глубоко задуматься над теориями, находясь в разгаре значительного проекта разработки программного обеспечения. Трудно набрать обороты в разработке программного обеспечения, если большую часть дня тратят на размышления и письма. Хуже того: [[Высокие затраты на переключение между разработкой программного обеспечения и исследовательским мышлением]].

Связанная с этим проблема: [[Сфокусированная работа по разработке программного обеспечения - это самоотречение]].
Ericsson and Pool (2016) используют термин *«ментальные представления»* в качестве сокращенного обозначения схемы чанков ([[«Чанки» в человеческом познании]]), которые человек использует в некоторой области ([[Эффективные схемы чанков обычно кодируют атрибуты, зависящие от домена]]).

Ментальные представления (aka Чанки) имеют значение, потому что возможности обработки информации зависят от их сложности. [[Пропускная способность человеческого канала увеличивается с увеличением размерности стимула]] , а [[Пропускная способность человеческого канала увеличивается с увеличением количества бит-на-чанк]].

::… Ментальные представления… позволяют быстро обрабатывать большие объемы информации, несмотря на ограничения кратковременной памяти… можно определить ментальное представление как концептуальную структуру, предназначенную для обхода обычных ограничений, которые кратковременная память накладывает на умственную обработку. (Ericsson and Pool, 2016 г., стр. 61)

---

!!!References
Ericsson, A., & Pool, R. (2016). *Peak: Secrets from the New Science of Expertise* (1 edition). Eamon Dolan/Houghton Mifflin Harcourt. [[Пик - Ericsson and Pool]]
[[Обучение требует метапознания]], но среда может снять часть этого метакогнитивного бремени с плеч учащихся.

В классе учителя выполняют большую часть мониторинга, оценки, планирования и исполнительного контроля. Конечно, иногда они делают этого слишком много, но во многих ситуациях это может освободить учащихся, чтобы они могли сосредоточиться на имеющемся материале.

На [[Quantum Country|https://quantum.country/]] чередующиеся обзорные сессии помогают читателям замечать, когда они не усваивают материал, и дают им ощущение легкости, когда их память крепка. Среда также планирует и соответственно выполняет последующую практику памяти.

Игры особенно хороши в этом:

* [[Игры помогают игрокам оценить свои развивающие навыки]] 
* [[Игры помогают игрокам строить и адаптировать планы]] 
[[Метапознание по своей сути - динамично]] , поэтому для разработки среды, предлагающей метакогнитивную поддержку, эта среда должна динамически вести себя и реагировать на взаимодействие участников с материалом.

Среды, которые являются динамическими, но не предполагающими участия (как большинство «исследуемых»), не имеют ничего, на что можно было бы реагировать.

Среды, которые являются совместными, но не динамичными, не могут изменять свое сообщение или поведение в ответ на действия участников.

Это одна из причин, по которой большинство объяснительных средств массовой информации заставляют участников запускать свои собственные циклы обратной связи: большинство пояснительных средств массовой информации статичны.

Статические носители иногда пытаются обеспечить метакогнитивную поддержку, представляя фиксированные метакогнитивные «программы» для «выполнения» участниками, например, «если вы не знакомы с использованием XOR в этом контексте, обратитесь к странице 240». Они явно ограничены; они по-прежнему заставляют участника много работать.
Мониторинг, регулирование и планирование являются динамичными процессами. Концепции участников постоянно развиваются, и исполнительный контроль должен соответствующим образом адаптироваться.
Последствия: [[Метакогнитивная поддержка требует совместной динамической среды]]
Распаковать:

::Одна полезная метафора для размышлений о том, как улучшить мнемоническую среду, - это думать о каждом мнемоническом эссе как о стандартном эссе, сопровождаемом своего рода «отраженным эссе» - знании, закодированном всеми карточками. Пользователь может легко запомнить столько отраженного эссе, сколько пожелает. Конечно, отражение несовершенное. Но, разработав хорошие стратегии создания карточек, мы можем сделать отраженное эссе почти точным отражением всех важных идей, идей, которые читатель в идеале хотел бы сохранить.

[[Хорошее замечание от Джакомо Рандаццо (2020-09-10|https://twitter.com/randiisan/status/1304124608292040705]]

::Мне нравится метафора «отраженного эссе», но я думаю, что она неполная. Да, как читатель, я хочу руководствоваться размышлениями автора, хочу, чтобы вопросы охватывали все идеи эссе. Но я также хочу связать идеи со своей жизнью, с моим личным опытом.

Аналитическое и [[Синтопическое чтение]]

!!!References

Matuschak, A., & Nielsen, M. (2019, October 0). [[How can we develop transformative tools for thought?|https://numinous.productions/ttft]]
[[Важнейшим моментом для оптимизации систем памяти с интервальным повторением является эмоциональная связь с сеансом обзора и его содержанием]]. Один из возможных рычагов - дать пользователям простой способ снизить приоритет материала, который им не важен. В частности, возможно, мы могли бы предложить кнопку «пропустить», которая откладывает запрос с экспоненциальным откатом. Это была бы более низкая альтернатива удалению: [[Интервальное повторение может снизить ставки в отношении разрушительных операций по обслуживанию почтового ящика]].

!!!Влияние на эффективность

Но будет ли это провалом? Будут ли ученики использовать кнопку слишком часто, так что ничего не выучите?

Нейт Корнелл и Роберт А. Бьорк (2008) обнаружили, что «разрешение бросать карточки имело небольшое, но неизменно негативное влияние на обучение».

::68% вопросов были отброшены только после одного правильного ответа, а еще 8% были отброшены без правильного ответа.
… Возможность бросать предметы имела особенно негативные последствия для 20% участников, чья стратегия обучения заключалась в том, чтобы отбрасывать предметы, которые они считали трудными для изучения
… В интересах обеспечения длительного обучения предметы, если они выпали, должны быть возвращены позже. Повторное изучение ранее выпавших предметов дает дополнительные возможности для изучения этих предметов. Он также определяет элементы, которые на самом деле не были изучены и нуждаются в дальнейшем изучении.

Уитмер (2020) провел эксперимент с морскими пехотинцами, проходящими обучение, дав одной группе возможность сбросить карты. У этих слушателей после тестов память была значительно хуже.

!!!References

Kornell, N., & Bjork, R. A. (2008). Optimising self-regulated study: The benefits—And costs—Of dropping flashcards. Memory, 16(2), 125–136.

Whitmer, D. E., Johnson, C. I., Marraffino, M. D., Pharmer, R. L., & Blalock, L. D. (2020). A Mastery Approach to Flashcard-Based Adaptive Training. In Adaptive Instructional Systems (pp. 555–568). Springer International Publishing.
Основная механика [[§Система интервального повторения]] исключает принятие решений и смекалку с критического пути. Скажите, что вы хотите изучить молекулярный путь клеточного метаболизма. Без SRS вам нужно было бы составить план вроде «Я изучаю клеточную биологию по вторникам вечером», запомните этот план и вызовите волю, чтобы выполнять его неоднократно. Но если у вас есть активная практика SRS, вы можете добавить несколько подсказок в свою библиотеку и быть уверенными, что через какое-то время вы их снова увидите.

Вам не нужно решать, как часто вы будете их изучать. Вам не нужно проявлять силу воли для изучения этих конкретных подсказок - только для того, чтобы приходить на ежедневную практику SRS. Ваше решение о том, как пометить подсказку, также не имеет значения: этот выбор просто поворачивает ручку; подсказка появится снова в любом случае. Чувство в гештальте - это действие без усилий ([[Wu wei]]).

Это очень не похоже на то чувство, которое возникает, например, при ведении почтового ящика, который полон важных решений: [[Стратегии сортирования для обслуживания почтовых ящиков (например, Zero Inbox) часто слишком хрупкие]].

Это ощущение непринужденности - одна из причин, почему меня интересует принцип [[Всё разнесено]]: я хотел бы сделать это не только с подсказками памяти.

[[Kawara]], приложение для интервальных повторений, ориентированное на вдохновение, хорошо передает это чувство: «Кавара не позволяет мне забыть, но и не заставляет вспоминать».

Здесь есть связь с функцией «автовоспроизведение» в YouTube или Netflix, когда программное обеспечение управляет вами, а не наоборот. В таком контексте это несколько враждебные отношения; здесь стремление состоит в том, чтобы «запрограммировать себя» так, как вы сами одобрили бы это. (см. также [[Системы интервального повторения могут использоваться для программирования внимания]])

"""

Q. Как механика интервального повторения развивает чувство легкости?
A. Устраняя важные решения и требования к силе воли.
"""

!!!References

My Twitter thread on this topic: https://twitter.com/andy_matuschak/status/1271997374756315142
Уроки Execute Program имеют четыре состояния:

# Заблокировано (когда одно или несколько предварительных условий не изучены; см. [[Уроки Execute Program не открываются, пока вы не проверите их предварительные требования]])
# Разблокирован (когда все предварительные условия изучены, но вы еще не прошли этот урок)
# Активный (когда вы проработали урок, но не просмотрели его)
# Усвоил (когда вы хотя бы раз просмотрели урок)

Презентация завершается словом «выучено», что достигается, когда читатель просматривает урок только один раз. Он не делает различий между продемонстрированным удержанием в течение одного месяца и одного дня.

Это панель управления курса в Execute Program:

[img[Снимок экрана 2021-04-14 в 4.51.22 PM.png]]

Этот верхний кружок представляет долю усвоенных уроков в курсе. Таким образом, вы «заканчиваете» курс, когда все уроки усвоены, даже если их интервал SRS составляет ''всего день или два''.

Это интересно контрастирует с [[Quantum Country]], в которой прогресс сводится к достижению более высоких уровней устойчивости отзыва.

Одно интересное последствие такой структуры состоит в том, что, когда пользователи однажды просмотрели все уроки в курсе, они в целом чувствуют, что они «готовы». Они по-прежнему получают уведомления об обзорах, но пользовательский интерфейс не связывает с этими отзывами какой-либо значимой цели, поэтому многие пользователи, вероятно, откажутся от них в этот момент.

"""

Q. Что означает «завершение» урока в Execute Program?
A. Работа над ним и просмотр хотя бы один раз.

Q. Чем акцент в механике Execute Program отличается от акцента в Quantum Country?
A. Он подчеркивает первоначальный прогресс через уроки курса по сравнению с длинным прогрессом, увеличивая интервалы SRS.
"""
[[Миллер, Дж. А. (1956). Магическое число семь, плюс-минус два: некоторые ограничения на нашу способность обрабатывать информацию|http://www2.psych.utoronto.ca/users/peterson/psy430s2001/Miller%20GA%20Magical%20Seven%20Psych%20Review%201955.pdf]]

* Мы ограничены конечным [[Диапазон абсолютного суждения]]
** Что мы можем рассматривать с теоретической точки зрения информации: [[Пропускная способность человека как обработчика информации]].
** [[Пропускная способность человеческого канала увеличивается с увеличением размерности стимула]] 
* У нас также есть ограниченный [[Объем рабочей памяти]].
** Важное наблюдение: [[Объем рабочей памяти, в основном, не зависит от сложности элемента]].
** Создано в этой статье: [[«Чанки» в человеческом познании]].
* Значение критического наблюдения: [[Пропускная способность человеческого канала увеличивается с увеличением количества бит-на-чанк]].
** Ранний эксперимент, описанный в этой статье: [[Перекодирование может увеличить размер чанка]]
* [[Изучение все более сложных идей может привести к формированию эффективных чанков размера]].

[[Мнемоническая среда удерживает читателей в контакте с материалом с течением времени]]. Это означает, что тексты в [[Мнемоническая среда]] - в частности, подсказки - должны быть написаны так, чтобы их можно было использовать не только во время некоторого начального сеанса чтения, но и в десятках случаев в течение следующих недель и месяцев ([[Своевременный текст]]).

Первоначальная реализация среды в Quantum Country не имеет большого значения с точки зрения авторов. Читатели видят один и тот же материал на каждой сессии обзора. Поскольку эти существенные изменения (например, [[Запросы приложения должны изменяться при повторении]]), эволюция не строятся с учетом календарного времени.

Среда создает контекст, в котором читатели неоднократно возвращаются к авторскому материалу. Должна быть возможность использовать этот контекст для раскрытия авторского опыта с течением времени. Это было бы необычно для средства массовой информации: [[Средствам массовой информации в основном не хватает авторского измерения времени, превышающего сутки]].

Один простой пример - со временем добавлять все более целостные синтетические вопросы. Другим примером может быть разблокирование новых отрывков от автора с течением времени, представленных либо в сеансе рецензирования, либо с помощью механизма уведомления о рецензировании (как в [[Уроки Execute Program не открываются, пока вы не проверите их предварительные требования]]; но ''предупреждение'': [[Эффективный просмотр расписание находится в противоречии с последовательностями закрытых курсов]]).

Другой подход: мы переименовываем «5-дневный уровень» в «уровень 2», «двухнедельный уровень» на «уровень 3» и так далее; тогда авторы могут потребовать, чтобы читатели преуспели в своего рода «схватке с боссом» до завершения уровня. Это может быть несколько более длительная задача, например, написание ответа длиной в абзац на одну из выбранных подсказок.

Еще один подход: [[Мнемонические тексты могут быть сериализованы небольшими частями с течением времени, приурочены к воспоминаниям читателя]].
Используя [[§Система интервального повторения]], вы заполните ее заметками о том, что вы изучаете, наблюдаете и думаете. К сожалению, [[Существующие системы интервального повторения препятствуют использованию вечнозеленых заметок]]. Система памяти поможет вам сохранять и постоянно заниматься тем, что вы пишете, но не очень поможет вам развить эти идеи с течением времени. Система [[Вечнозеленые заметки]] поможет вам развивать свои идеи с течением времени, но не поможет вам сохранять и постоянно взаимодействовать с этими заметками ([[Ведение вечнозеленой заметки - это интервальное повторение]]). Итак, вы застряли, либо беспорядочно дублируя свои усилия в двух отдельных системах, либо отказываетесь от преимуществ одной системы.

[[Мнемоническая среда]] решает подобную проблему для опубликованной прозы: [[Мнемоническая среда придает нормально-атомизированную структуру подсказкам для интервального повторения]]. Можно использовать тот же подход, чтобы структурировать свои личные подсказки для интервального повторения в своих личных заметках. Мы можем назвать это {''личной мнемонической средой''}.

Например, можно представить себе создание приглашения {закрыть удаление} в личных заметках, {заключив его в фигурные скобки}.

"""

И можно создать традиционное двустороннее приглашение, подобное этому:
Q. Если кто-то делает заметки только в Anki, какие ключевые ограничения могут возникнуть?
A. (например, отсутствие случайного нахождения заметок при написании заметок, отсутствие возможности легко развивать заметки с течением времени, ограниченные связи между заметками, трудно «прочитать» свои заметки по предмету и т. д.)
"""

!!!Реализации
См. [[Моя реализация персонального мнемонического носителя]].

Есть несколько уже существующих реализаций чего-то вроде этой идеи:

* [[Mochi]], который делает невозможным написание [[Вечнозеленые заметки]]
* [[RemNote]], имеющий властную формальность
* [[ObisidantoAnki]], более продуманная и настраиваемая реализация чего-то похожего на мою реализацию личного мнемонического носителя. Требуется несколько ручных шагов.
* [[Ankify]] , который требует ручных действий - не предназначен для автоматического запуска в фоновом режиме.
* [[TiddlyRemember]], синхронизируется с TiddlyWiki с использованием некоторой настраиваемой разметки; требует ручного шага синхронизации, Сорен Бьорнстад

!!!References

Nielsen, M. (2018). Augmenting Long-term Memory. http://augmentingcognition.com/ltm.html

::Я начинаю выявлять открытые проблемы, вопросы, на которые лично я хотел бы получить ответы, но на которые, похоже, еще нет ответа. Я выявляю края новых идей, которые кажутся новыми возможностями, но значение которых я еще не знаю. И иногда я выявляю то, что мне кажется слепыми пятнами всего поля. Я также добавляю вопросы обо всем этом в Anki. Таким образом, Anki является средством поддержки моих творческих поисков. У него есть некоторые недостатки как у такого носителя, поскольку он не предназначен для поддержки творческой работы - он, например, не приспособлен для длительного исследования в свободной форме внутри рабочего пространства.
Подход, описанный в разделе [[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]], поможет читателям укрепить уверенность в прочитанном, используя эти знания в простых, заученных наизусть ситуациях. Однако, чтобы развить более гибкое понимание, читатели должны научиться творчески применять полученные знания в незнакомых ситуациях ([[Трансферное обучение]]).

Среда Мнемоники может включать в себя «около передачи» подсказки: задачи , которые кажутся не знакомы, но которые в основном требует выяснить , какую знакомую информацию / необходимо использовать процедуры (в какой момент они становятся просто).

Например, рассмотрите:

`What’s the missing gate in this circuit?
	|0> —> [?] —> Y —> -i|0>`

Вы могли бы написать множество вариантов этого, но это противоречит цели. Весь смысл подобных вопросов в том, что они просят вас перенести свои знания в какой-то незнакомый контекст. Вы можете изменить следующий вариант:

`How could you transform a |1> into a |+> with elementary gates?`

Выполнение большего количества подобных задач поможет вам лучше справляться с задачами типа ''заполнить ворота'', но я не думаю, что это поможет вам лучше переносить свои знания в незнакомые контексты.

Существует множество задач, близких к передаче, которые удовлетворяют многим предположениям, описанным в [[Простые подсказки приложения могут быть представлены так же, как подсказки отзыва в мнемоническом носителе]], но для них, вероятно, потребуется другой механизм. Роль повторения в этих вопросах различна: с помощью подсказок приложения повторяющиеся вариации помогают познакомиться с одним навыком; с подсказками о близком переносе вариации по определению не должны быть взаимозаменяемыми.

Один из подходов - думать об этом как о «битве с боссом». Вы отвечаете на пару вопросов типа «битва с боссом», когда заканчиваете читать эссе, и на каждом этапе повторения ... но каждый раз они разные. Может там набор 20-30 или что-то в этом роде. Если вы сделаете одно правильно, нет необходимости повторять его. Если вы ошиблись, то через несколько месяцев снова вспомните, и, надеюсь, вы забыли.

Это пример того, как [[Мнемоническая среда может быть адаптирована для создания опыта, который разворачивается во времени]].


!!!References

Wiggins, G. P., & McTighe, J. (2005). Understanding by design.





В интервью читатели Quantum Country по-разному рассказывали нам, что встроенные вопросы подталкивают их к более внимательному чтению или что вопросы помогают им заметить, когда их внимание неосторожно. Не говоря уже о прямом влиянии подсказок на память, вопросы [[Мнемоническая среда]] могут просто помочь читателям замедлиться и обратить внимание при чтении. [[Понимание требует активного вовлечения]], поэтому этот эффект может привести к более глубокому пониманию.

Было бы интересно эмпирически сравнить количество времени, которое читатели тратят на эссе с вопросами и без них, вычитая количество времени, которое читатели мнемонической среды тратят непосредственно на вопросы. Данные Eye-tracking были бы интересным инструментом.

::Мне понравилось, что они его разогнали. Я могу отключиться и оставаться таким, продолжая «читать», что, вероятно, является моим основным состоянием, когда я «читаю» что-нибудь долгое время. Но здесь каждый блок обзора - это точка, где я гарантированно сброшу.
[[Мнемоническая среда предоставляет подсказки, созданные экспертами]], что помогает улучшить написание подсказок с хорошим интервалом повторения в памяти ([[Трудно написать хорошие подсказки для интервального повторения]]). Но, добавляя подсказки, мы также помогаем читателям, которые хотят написать свои собственные подсказки. Они могут увидеть опытные примеры написания подсказок, которые они могут использовать в качестве шаблонов для своих собственных подсказок.

Несколько читателей Quantum Country рассказали нам, что они попробовали и отказались от Anki до того, как прочитали Quantum Country, но с тех пор они вернулись к нему теперь, когда у них есть более четкое представление о том, как писать подсказки.

Более активный вариант: встроенные шаблоны подсказок могут активно формировать написание подсказок для читателей мнемонического носителя.

Отзывы пользователей об этом эффекте
Джакомо Рандаццо о влиянии Quantum Country / 28 марта 2020 г . :

::Серия Quantum Country сыграла важную роль в развитии моей практики с Anki. Карточки хорошо продуманы и включают идеи для построения вопросов и ответов, которые не очевидны в начале. Авторы проделывают большую работу по постепенному внедрению идей. Для людей с достаточным математическим образованием, которые хотят научиться эффективно использовать любое программное обеспечение с интервалом повторения, я думаю, что затраты времени на прохождение всей серии чрезвычайно ценны! »

!!!References

[[Matuschak, A., & Nielsen, M. (2019, October). How can we develop transformative tools for thought?|https://numinous.productions/ttft]]

… Создание хороших карт - это сложный навык, поэтому пользователи теряют, не создавая свои собственные карты, за счет использования карт гораздо более высокого качества, чем они могли бы сделать самостоятельно. В будущем стоит углубиться в этот вопрос, чтобы понять его, выходя за рамки неформальных моделей, и изучить способы получения преимуществ от активного создания карт.
[[Мнемоническая среда]] помогает читателям вспомнить конкретные детали от того, что они читали, но многие читатели инстинктивно чувствуют , что их отзыв может быть слишком жестким ограничиваются заученными ответами попугая на знакомые вопросы. Они интуитивно понимают, что реальное понимание более подвижно, чем это, что его следует применять в новых ситуациях (например, [[Передача обучения]]). Многие читатели говорят, что они начинают чувствовать, что что-то понимают, когда они могут использовать это понимание на практике или в обществе.

Чтобы //действительно// сделать это возможным - создать среду в соответствии с принципами, описанными в разделе [[Благоприятная среда сосредоточена на том, что включено]], - нам нужно было бы сделать [[Primer ++]] . Но мы уже видели, что [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]], поэтому мы можем сделать шаг в этом направлении, расширив мнемоническую среду, включив в нее простые вопросы, которые просят читателей использовать то, что у них есть, возможно в комбинации c новой ситуацией. Такие вопросы должны помочь читателям развить гибкость и укрепить уверенность в своих знаниях. Эти вопросы расширят возможности мнемонической среды на один значительный уровень по лестнице понимания.

Например, в дополнение к подсказкам, предлагающим читателю вспомнить матричное представление квантового `X` вентиля, мы можем попросить читателя применить это знание, найдя выход схемы с `X` примененным вентилем `(|0> - |1>) / sqrt(2)`. А затем в следующий раз мы можем спросить читателя `What is X(0.8|0> + 0.6|1>)?`: [[Запросы приложения должны изменяться при повторении]].

Этот тип вопросов хорош отчасти потому, что это очень маленький шаг от ваших заученных знаний. Вам не нужно разрабатывать стратегию. Вам не нужно определять процедуру, которую нужно выполнить, и сама процедура тривиальна. Необязательно сочетать множество деталей по-новому.

Мы развернули подсказки приложений в квантовой механике, дистиллированной на [[Quantum Country]]. Что мы уже нашли:

* [[Простые подсказки приложения могут быть представлены так же, как подсказки отзыва в мнемоническом носителе]].
* [[Подсказки приложения написать намного сложнее, чем подсказки отзыва]].
* [[Исследования по подсказкам приложений]]

Еще несколько сложных вариантов этой идеи:

* [[Подсказки приложения могут систематически проверять комбинации деталей в тексте]]
* [[Мнемоническая среда может включать подсказки, поддерживающие ближний перенос]]

Некоторые вопросы:

* [[В какой степени подсказки приложения могут вытеснять подсказки отзыва в мнемонической среде?]]
* [[Следует ли визуально отличать подсказки приложения от подсказок отзыва?]]
Мы еще не понимаем, как разные типы контента используются в [[Мнемоническая среда]]. Но одним из жанров, который, кажется, особенно выигрывает от этого средства, является «платформенное знание». То есть базовый материал, который вы можете использовать для множества последующих действий, таких как Quantum Country . В таких случаях, скорее всего, стоит заплатить накладные расходы на систему памяти.

В некоторых областях на самом деле может быть невозможно изучить более сложные идеи без значительного свободного владения некоторыми знаниями платформы: [[Сложные идеи может быть трудно усвоить отчасти из-за того, что их компоненты переполняют рабочую память]].

В других областях, например в науке о климате, небольшой объем знаний о платформе позволяет людям мыслить моделями, а не интуицией.

Более того: [[Знание платформы помогает непрактикам распространять хорошие идеи]].

"""

Q. Почему Quantum Country является примером полезного материала для изучения с помощью мнемонической среды?
A. Это «платформенное знание»: от этого зависит много другого материала.

Q. Почему знание платформы особенно ценно для мнемонической среды?
A. Дополнительные «затраты» на обучение окупаются более эффективно.

Q. Почему типичный пост в блоге может предлагать невысокую цену / выгоду, если он написан на мнемоническом носителе?
A. Большинство сообщений в блогах не являются «знанием платформы»: читатель не опирается на эти знания осмысленно.
"""
[[Трудно написать хорошие подсказки для интервального повторения]], но [[Мнемоническая среда]] устраняет этот барьер для реализации [[§Система интервального повторения]], предоставляя написанные автором подсказки, которые позволяют читателям сохранять материал, не записывая свои собственные.

[[Изучение подсказок для интервального повторения, созданных другим человеком,  обычно - неэффективно]], но мы считаем, что мнемоническая среда может решить эту проблему, если более серьезно отнестись к написанию подсказок и встраивать их в повествовательную структуру ([[Мнемоническая среда придает нормально-атомизированную структуру подсказкам для интервального повторения]]).

При увеличении масштаба этот подход может помочь решить проблему. Ограничивающим фактором для пропускной способности системы с интервалом повторения является написание достаточно хороших подсказок. [[Ограничивающим фактором в пропускной способности системы с интервалом повторения является написание достаточного количества хороших подсказок]].
[[Подсказки для интервального повторения сами по себе являются плохим средством коммуникации]], но [[Мнемоническая среда]] дает порядок подсказок и встраивает их в более крупное целое, встраивая их в прозаическое повествование. Этот контекст позволяет читателям строить понимание авторским, структурированным образом. Повествование также дает подсказкам более важную цель, что важно, потому что [[Глубокое понимание требует (и является результатом) интенсивной личной связи]].

См. также обсуждение в разделе [[Расширение возможностей систем памяти: для каких типов понимания они могут использоваться|https://numinous.productions/ttft/#expanding-memory-system-scope]] внутри [[Как мы можем разработать преобразующие технологии мышления?|https://numinous.productions/ttft/#top]]

---

!!!References

Matuschak, A., & Nielsen, M. (2019 0). *How can we develop transformative tools for thought?*  [https://numinous.productions/ttft](https://numinous.productions/ttft) 
Помимо влияния на память, читатели [[Мнемоническая среда]] поддерживают постоянный контакт с тем, что они прочитали во время сеансов обзора. Вместо того, чтобы прочитать что-то один раз и, возможно, никогда не думать об этом снова, обзорные сессии возвращают читателей к этому тексту снова и снова. Это своего рода [[Своевременный текст]]

Каков эффект этого контакта с течением времени?

* Я подозреваю, что это существенно меняет отношение читателей к тексту. Поскольку вас заставляют постоянно думать об этом материале с течением времени, легче идентифицировать, скажем, человека, который думает о квантовых вычислениях, а не просто того, кто однажды прочитал статью о квантовых вычислениях.
* Это создает возможности для спонтанных связей. «О, да, эта подсказка снова напомнила мне…» Эффект может распространяться не только на обзорную сессию, но и на случайные связи, установленные во время прогулок, поскольку сессия «освежает» этот материал в сознании читателей.
* В частности, если подсказки написаны, чтобы вдохновить на размышления или синтез, этот эффект создает возможности для взаимодействия с материалом на все более глубоких уровнях с течением времени. Например, подсказка, предназначенная для того, чтобы помочь вам задуматься о своей практике дизайна, может работать по-разному в первый день и в тысячный день. (см. также [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]]
* Под другим углом: [[Системы интервального повторения как катехизис]]

Выходя за рамки простого контакта: [[Мнемоническая среда может быть адаптирована для создания опыта, который разворачивается во времени]]

[[Readwise]] пытается добиться аналогичного эффекта за счет более пассивного взаимодействия.
Одна из первых теорий в нашем дизайне мнемонической среды заключалась в том, что если кто-то пересмотрит содержание главы 1 несколько раз, ему будет легче понять главу 2: [[Сложные идеи может быть трудно усвоить отчасти из-за того, что их компоненты переполняют рабочую память]].

Если серьезно отнестись к этой идее:

# Можно было бы писать более поздние главы не как отдельные тексты, а как целенаправленные дополнения к предыдущим главам, предполагая, что читатель полностью усвоил этот материал.
# Можно написать главы меньшего размера, чтобы рабочая память не переполнялась; можно использовать границы глав как «контрольные точки», прежде чем строить что-то новое на основе этого предшествующего материала.
# Кто-то может предложить читателям перейти к следующей главе: пассивно в списке глав или заранее с уведомлением. Можно даже открыть доступ к более поздним главам о прогрессе через необходимые главы.
# Можно включить расширенное календарное расписание в свое письмо: если вы знаете, что читатель не дойдет до главы 5 раньше, чем через два месяца после главы 1, это может значительно изменить отношения авторов с читателями в своей прозе. ([[Средствам массовой информации в основном не хватает авторского измерения времени, превышающего сутки]]).

[[Execute Program]] реализует первые три из этих понятий и, безусловно, создает довольно тщательно подобранный опыт:

# [[Уроки Execute Program предполагают твердое напоминание предыдущего материала]].
# [[Уроки Execute Program довольно короткие]]
# [[Уроки Execute Program не открываются, пока вы не проверите их предварительные требования]].

Это один из возможных вариантов. [[Мнемоническая среда может быть адаптирована для создания опыта, который разворачивается во времени]].

Это относится к [[Поэтапное чтение]], но автор имеет несколько больший контроль над составом сеанса.
Чтобы достичь в среднем 2 месяцев продемонстрированного удержания, читатели первого эссе [[Quantum Country]] vQCVC 2019H1 (первая версия эссе) потратили в среднем 90 минут на просмотр. Поскольку среднестатистическому читателю требуется около 4 часов, чтобы прочитать эссе, мы можем рассматривать время просмотра как относительные накладные расходы: потратив на 35-50% больше времени на эссе, читатели надежно сохранят все его детали.

Это как дополнение. Хотите авокадо с гамбургером за 2 доллара дополнительно? Похоже, что детальное удержание работает так, по крайней мере, для QCVC. Что, если бы вы могли «купить это дополнение» для всего, что читаете? Или если бы вы могли потратить на 10% больше времени, чтобы сохранить подмножество деталей, которые вы считаете наиболее ценными?

Неизбежность, связанная с этим предложением, делает мнемонический носитель возможной [[Исполняемая стратегия]] для решения. [[Кажется, что люди забывают большую часть того, что читают, и в большинстве случаев не замечают]].

Насколько малы мы можем уменьшить эти накладные расходы? Если посмотреть на читателей QCVC 2019H1 и 2019H2 (у последних более агрессивный график), кажется, что мы, возможно, уже снизили стоимость на 25%.

!!!References

Matuschak, A., & Nielsen, M. (2019). How can we develop transformative tools for thought? Retrieved December 2, 2019, from https://numinous.productions/ttft
Говоря другим, что [[Системы памяти с интервалом повторения делают выбор в пользу памяти]], люди часто реагируют весьма негативно: «Какой смысл запоминать все это? Такое знание не имеет значения: мне нужно концептуальное понимание, творчество, артистизм и т. д.!»

Один из ответов на это - указать, что на самом деле [[Системы памяти с интервалом повторения могут быть использованы для развития концептуального понимания]]. Но также важно серьезно отнестись к заявлениям о ценности запоминания. Некоторые ответы там:

* [[Глубокое понимание требует детального знания основ]]
** [[Опыт требует построения сложных схем перекодирования чанков]]
** [[Люди недооценивают важность памяти из-за плохого опыта заучивания наизусть в школе]]

* [[Системы памяти с интервальным повторением помогают сосредоточиться на более глубоком взаимодействии, автоматизируя механическое запоминание]]
* [[Системы памяти с интервальным повторением могут ускорить неприятные ранние этапы изучения предмета]]
---
!!!References

Matuschak, A., & Nielsen, M. (2019, October 0). *How can we develop transformative tools for thought?*  [https://numinous.productions/ttft](https://numinous.productions/ttft)  (see section “ [How important is memory anyway?](https://numinous.productions/ttft/#how-important-is-memory) ”)
Многие из самых эффективных людей, которых я знаю -живые и мертвые - кажутся неспособными делать серьезное мышление без письменной поверхности перед ними. Кажется, что это каким-то образом расширяет познание: возможно, это эффективно расширяет  [[Объем рабочей памяти]] , или, возможно, перемещение пальцев каким-то образом способствует мышлению.

Например, в интервью Чарльзу Вайнеру Ричард Фейнман сказал, что для него (1973) газета - это не просто запись работы, проделанной в его голове.

Говорят, что Гротендик, выдающийся математик 20-го века, не может думать без письменной речи (2007):
::Он импровизировал быстрым и элегантным почерком. Он сказал, что не может думать без письма. Мне бы самому было удобнее сначала закрыть глаза и подумать, а может просто лежать, но он так думать не мог, пришлось взять лист бумаги, и он начал писать. Он написал X → S, несколько раз проходя ручку на ней, видите ли, пока персонажи и стрелка не стали очень толстыми. Он каким-то образом наслаждался видом этих объектов.

!!!Ссылки

Фейнман, Р. (1973, 4 февраля). [[Интервью К. Вайнер. Библиотека и архив Нильса Бора, Американский институт физики|https://www.aip.org/history-programs/niels-bohr-library/oral-histories/5020-5]]
Мозговой штурм с другими может создать подвижный социальный контекст для обмена идеями, но когда мы проводим мозговой штурм в одиночку, мы создаем обширное пространство, чтобы вызвать то, что мы уже «почти знаем». Идеи, которые мы можем иметь, в первую очередь ограничены нашим предыдущим мышлением и идеями в этом пространстве (см. [[Скачки в понимании возникают из предыдущих мыслей]]).

Генеративное некритическое мышление мозгового штурма может привести к неожиданным результатам, но часто мы также используем мозговой штурм как практический способ собрать все наши идеи о предмете в одном месте. Это может быть признаком того, что мы не разработали наши системы знаний, как описано в разделе [[Знания должны срастаться]]. Благодаря [[Вечнозеленые заметки]] и плотной ассоциативной структуре (см. [[Вечнозеленые заметки должны быть тесно связаны]]), наши идеи постоянно собираются и перерабатываются. [[Написание вечнозеленых заметок помогает накапливать понимание]], поэтому в мозговом штурме меньше необходимости, потому что эти идеи уже появились - и фиксируются в постоянной форме - в повседневной работе.

См. также: [[Вечнозеленые заметки - безопасное место для развития безумных идей]].

---

References
Ahrens, S. (2017). How to Take Smart Notes: One Simple Technique to Boost Writing, Learning and Thinking – for Students, Academics and Nonfiction Book Writers.

::Поскольку правильному ведению заметок редко учат или обсуждают, неудивительно, что почти каждое руководство по написанию рекомендует начинать с мозгового штурма. Если вы не писали по ходу дела, мозг действительно единственное место, куда можно обратиться. Сам по себе это не такой уж хороший выбор: он не является ни объективным, ни надежным - два довольно важных аспекта в академическом или документальном письме. Пропаганда мозгового штурма в качестве отправной точки тем более удивительна, что не является источником большинства идей: то, что вы должны найти в своей голове с помощью мозгового штурма, обычно не берет свое начало.

::Многие студенты и академические писатели думают, как первые судовладельцы, когда дело доходит до заметок. Они обращаются со своими идеями и выводами так, как это имеет непосредственный смысл: если они читают интересное предложение, они подчеркивают его. Если у них есть комментарий, они пишут его на полях. Если у них есть идея, они записывают ее в свой блокнот, а если статья кажется достаточно важной, они прилагают усилия и пишут отрывок. При такой работе вы получите множество разных заметок в разных местах. Итак, писать - значит полагаться на свой мозг, чтобы запомнить, где и когда были записаны эти записи. Затем текст должен быть концептуализирован независимо от этих примечаний, что объясняет, почему так много людей прибегают к мозговому штурму, чтобы впоследствии организовать ресурсы в соответствии с этой предвзятой идеей.
Поскольку [[Благоприятная (стимулирующая) среда]] может помочь людям делать что-то новое, возникает соблазн создавать среды, которые стремятся помочь новичкам войти в дисциплину, возможно, с помощью упрощенных версий ее действий. Этот подход обычно весьма ограничен. [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]]. Этим целям обычно лучше всего служат компетентные специалисты. С этой позиции среда может также включать в себя структуры, помогающие новичкам преследовать те же цели.

Когда среда сосредотачивается на обеспечении упрощенных версий деятельности, целью часто становится само развитие навыков. Это имеет тенденцию ниспровергать свои собственные цели (см. [[Цели обучения часто подрывают себя]]). Среда, предназначенная, например, для решения важных задач в поле, почти автоматически избегает этой ловушки.

Дизайн представлений - одна из наиболее важных частей проектирования благоприятной среды ::TODO write note

Представления, разработанные специально для упрощенных версий деятельности, обычно также не позволяют использовать экспертную практику. Это означает, что эти представления имеют ограниченную силу. Хуже того: они часто не совпадают с изображениями, используемыми экспертами. Но представительства, предназначенные для экспертов, часто могут обслуживать новичков. Когда ученики развивают свои навыки в среде аутентичной практики, они могут использовать упрощенные представления. Но поскольку эти представления были задуманы в контексте экспертной практики, они часто соприкасаются с представлениями экспертов, поэтому могут плавно развиваться. (См. также [[Большинство динамических представлений, разработанных для общения, не очень удобны]])

!!!Примеры и контрпримеры

Исследовательские лаборатории могут быть мощной благоприятной средой. Они могут включать множество структур, которые помогают младшим ученым развиваться: группы чтения, коллоквиумы, семинары по письму и т.д. Когда они хорошо работают, все эти действия направлены на улучшение исследований, а не просто на развитие навыков. Многие из этих мероприятий (например, коллоквиумы) могут оказаться более важными для опытных ученых. Они были созданы для этой цели, а затем, возможно, были добавлены дополнительные структуры, чтобы сделать их более доступными для младших преподавателей. Участие в этих мероприятиях - это участие в дисциплине для всех. Эти мероприятия растут вместе с их участниками.

Mathematica позволяет старшеклассникам визуализировать данные простых экспериментов и управлять ими. Но что еще более важно, это помогает профессиональным ученым более эффективно выполнять свою работу. Инструмент, предназначенный в первую очередь для студентов, вероятно, не поможет профессионалам лучше заниматься наукой; этот инструмент, разработанный для профессионалов, также помогает студентам лучше изучать науку - и вместе с ними расширяет границы знаний.

SimCity - это развлечение - по крайней мере, развитие навыков не является его основной целью, - но его представления кодируют многие предположения настолько фундаментально, что их невозможно плавно преобразовать в представления экспертов. Если ваша цель - заниматься городским планированием, SimCity вам не сильно поможет.

Точно так же Logo дает детям доступ к идеям дифференциальной геометрии. Это замечательно! Но профессиональные геометры, похоже, не считают изображения Logo подходящими для своих исследований. Таким образом, можно сказать, что дети //занимаются// дифференциальной геометрией только в ограниченном смысле, потому что заниматься математикой - это задавать оригинальные вопросы и отвечать на них, а эта среда, похоже, не очень помогает в этом. Паперт не был заинтересован в помощи в первую очередь дифференциальным геометрам, и у него не обязательно был опыт для этого, но интересно представить себе альтернативный логотип, разработанный на основе мощных вычислительных представлений для геометров?

!!!References

::Если вы создадите Mathematica, вы наверняка поможете людям. Но это будет вторично по сравнению с умопомрачительной математикой / теоретической физикой.


[[Идеи Алана Кея о SimCity для OLPC|https://web.archive.org/web/20130904163228/https://www.donhopkins.com/drupal/node/134]]

::Интересны масштабируемость и немасштабируемость идей. Rocky's Boots по-прежнему остается одной из лучших игр, предлагающих глубокие познания. Расширение этого до Robot Odyssey не сработало, потому что логика и программирование проводов недостаточно хорошо масштабировались - удары на усилие резко упали.
Программа Apollo была невероятно мощная [[Благоприятная (стимулирующая) среда]], но она возникла не из проекта, нацеленного на то, чтобы дать ученым множество прекрасных возможностей для личностного роста. Скорее, это было о том, чтобы отправить людей на Луну (и, э-э, спасти мир от Советов). Благоприятная среда стала побочным продуктом этих весьма значимых усилий.

Точно так же, когда Pixar создавал свои революционные инструменты анимации, многие команды работали над компьютерной графикой в ​​течение многих лет, но системы Pixar возникли из усердного стремления к повествовательной мечте: [[Фильмы и разработка технологий Pixar выступают в виде сопряженных маховиков]].

Соборы! Университетские исследовательские лаборатории! Mathematica! Все они следуют этому образцу.

С практической точки зрения, такие контексты обеспечивают очень значимую обратную связь: [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]]. Они также избегают проблем, описанных в [[Авторская среда значительно окрашена мотивами авторов]]. Но, пожалуй, самое главное, эти проекты также обеспечивают интенсивную личную связь, которая делает возможной отличную работу.

Некоторые последствия:

* [[Мощные благоприятные среды сосредоточены на использовании экспертами]]
* [[Благоприятная среда сосредоточена на том, что включено]]

Можно ли заставить хвост вилять собакой ? Инициировать проект, преследующий какую-то внутренне значимую цель, чтобы воспользоваться благоприятной средой, которая возникает в этом контексте? Не ясно. Наиболее вероятный вариант отказа заключается в том, что результирующий проект действительно не создаст необходимой интенсивной личной связи.

---

References

https://github.com/mnielsen/tpft/blob/master/big_picture.md

Самые мощные инструменты не разрабатываются изолированно. Скорее, они возникают как часть проектов, выполняемых по своим внутренним причинам. Подумайте об искусстве витражей, разработанном для служения Богу в великих соборах. Или о разработке компьютерной анимации для рассказа Pixar. Эти более масштабные цели определяют развитие инструментов, гарантируя их серьезное использование. Это звучит банально, но часто нарушается. «Инструменты» для математики, искусства и т. Д. Часто разрабатываются людьми, которые сами не очень активны в этой области. Если они не проведут чрезвычайно интенсивные исследования пользователей - по сути, в сотрудничестве с серьезными пользователями - им будет чрезвычайно сложно создать что-либо, кроме как выглядящих правдоподобных игрушек.

Для этого мы разработаем серию амбициозных медиапроектов. Это будет - действительно, должно! - действительно стоит того, чтобы делать это само по себе. Но они также будут служить средством развития инструментов для размышления.
XEROX Alto не пытался решить проблемы существующих офисов: он пытался создать совершенно новый контекст, который имел бы свои преимущества и проблемы. Аналогичным образом, нельзя изобрести iPhone, пытаясь решить проблемы Motorola ROKR: это новая вещь, скорее акт изобретения, чем реакция или итерация.

Расширяя от технологии, можно применить это наблюдение к определенным политическим системам (демократия), экономическим системам (крипто), духовным системам (дзогчен) и т. д.

!!!References
Victor, B. (2019, December 12). Presentation at Stripe Convergence.
После подготовительных элементов [[Моя ежедневная рутина]] я начинаю свою первую серьезную творческую работу за день: как минимум два часа писать и редактировать [[Вечнозеленые заметки]]. Обычно это самая сложная работа, которую я делаю за весь день, поэтому мне нравится делать ее, когда у меня есть наибольшая ясность и сосредоточенность. Это не для того, чтобы «делать заметки» в традиционном смысле - записывать идеи других людей или записывать произошедшее - это для развития идей. (т.е. [[Большинство людей используют заметки в качестве ведра для хранения или выписывания мыслей]], тогда как [[Написание вечнозеленых заметок помогает накапливать понимание]].

Обычно я начинаю с открытия своего почтового ящика для писем ([[Почтовый ящик для временных и неполных заметок]]) и пролистываю эти подсказки и незавершенные заметки. Если меня что-нибудь поразит, я напишу о них [[Вечнозеленые заметки]]. Это может произойти в течение нескольких дней: я могу значительно дополнить заметку, а затем выдохнуться и оставить ее в своем почтовом ящике, чтобы закончить еще один день.

Если в моем почтовом ящике относительно мало сообщений, я достаю свой блокнот ([[Карманный блокнот для записи в почтовый ящик во время недоступности компьютера]]) и заполняю свой почтовый ящик этими заметками. Я не заставляю: если ни одна из подсказок не кажется интересной, я архивирую те, которые кажутся наиболее скучными, и двигаюсь дальше.

Поработав со своим почтовым ящиком, я сосредоточу свое внимание на своих основных творческих проектах и задаю себе такие подсказки, как:

* какие самые важные неизвестные для этого проекта?
* какие новые идеи меня волнуют?
* что самое интересное я знаю об этом проекте?

Для этих запросов я буду использовать свой [[Журнал ежедневной работы]] в качестве временного места, разбрасывая около дюжины однострочных строк в бессистемный маркированный список. Очистив голову, напишу обо всем, что покажется интересным. Обычно это приводит к кроличьим норам, которые съедают остаток сеанса. Я добавлю многообещающих отставших в свой почтовый ящик на будущее.

Если эти подсказки не принесут результатов, я используюсь временем [[Пишите о том, что вы читаете]]. Обычно у меня накопилось множество книг и статей, которые я прочитал, но для которых я еще не написал [[Вечнозеленые заметки]]. Если подсказки не кажутся плодотворными в течение нескольких дней подряд, это признак того, что мне нужно встряхнуть ситуацию: мои входные данные недостаточно разнообразны, или я не даю себе подходящего творческого пространства, или мне может потребоваться переоценка моих проектов. Мой почтовый ящик для писем всегда должен казаться рогом изобилия.

Я делаю 5-минутные перерывы, чтобы встать и двигаться каждые 35 минут, но даже с такими перерывами я обычно не могу продолжать эту практику дольше двух часов. Иногда я могу провести еще один сеанс позже в тот же день.
Мы не можем измерить количество виджетов, созданных в процессе  [[Интеллектуальный труд]]. Вместо этого мы можем измерять результаты трейлинг-индикатора, такие как OKR, но это отдельно от самой работы.

!!!References

Drucker, P. F. (1999). Knowledge-Worker Productivity: The Biggest Challenge. California Management Review, 41(2), 17.

Работа над производительностью умственного работника только началась. Что касается фактической работы по производительности труда работников умственного труда, мы будем в 2000 году примерно там, где мы были в 1900 году с точки зрения производительности физического труда.

Matuschak, A. (2019, December). Taking knowledge work seriously. Presented at the Stripe Convergence, San Francisco.
Если вы хотите овладеть новым навыком, например научиться рисовать , вы можете прочитать несколько книг, взять несколько уроков, а затем повторять основные процедуры, которые вы видели, до тех пор, пока они не почувствуют себя комфортно. Этот подход часто быстро выходит на плато, когда вы достигаете базового уровня автоматизма. Эрикссон и Пул (2016) называют это «{наивной практикой}»: ученик {многократно выполняет действие}, ожидая, что {одно только повторение} {улучшит производительность} (стр. 14), напротив, [[Развитие навыков требует непростого гомеостаза]] и [[Плато производительности часто требует изменения подхода к преодолению]].

Наивный подход к практике лучше всего можно описать в этом разговоре между учителем музыки и его учеником: «Как вы это практиковали?» "{Я не знаю. Я просто играл в нее.} »(Оар, 2012).

Эмпирические примеры:
В серии экспериментов по [[Объем рабочей памяти]] Чейз и Эрикссон сообщают, что наивные стратегии испытуемых - репетиция последовательности цифр вслух - постоянно приводят к плато (1981, стр. 146).

Это может частично объяснять, что [[Практика написания заметок у людей, как правило, неэффективна]]: как ни странно, большинство людей, казалось, тратили неэффективные усилия на размышления о практике ведения заметок в школе, достигли уровня автоматизма, а затем перестали думать об этом снова. Это также может объяснить, что аспекты  [[Основные практики в работе с знаниями часто являются ad-hoc]] (например,  [[У работников интеллектуальной сферы обычно нет специальных методов для развития идей с течением времени]]. 

!!!References
Chase, W. G., & Ericsson, A. (1981). Skilled memory. In A. Ericsson (Ed.), Cognitive skills and their acquisition (pp. 141–189). Erlbaum. https://apps.dtic.mil/dtic/tr/fulltext/u2/a114635.pdf

Ericsson, A., & Pool, R. (2016). Peak: Secrets from the New Science of Expertise (1 edition). Eamon Dolan/Houghton Mifflin Harcourt. Peak - Ericsson and Pool

Oare, S. (2012). Decisions Made in the Practice Room: A Qualitative Study of Middle School Students’ Thought Processes While Practicing. Update: Applications of Research in Music Education, 30(2), 63–70. https://doi.org/10.1177/8755123312437051
Если бы вам пришлось установить одну метрику для использования в качестве ведущего индикатора для себя как работника по знаниям, лучшим, что я знаю, могло бы быть количество [[Вечнозеленые заметки]] , написанных в день. 

[[Написание заметок может быть виртуозным навыком]], но [[Большинство людей используют заметки в качестве ведра для хранения или выписывания мыслей]], а [[Практика написания заметок у людей, как правило, неэффективна]].
- [[Написание вечнозеленых заметок помогает накапливать понимание]]
* [[Написание вечнозелёных заметок помогает накапливать усилия по чтению]]
* Написание заметок помогает накапливаться: эти заметки являются топливом для  [[Исполняемая стратегия письма]], особенно если вы  [[Создавайте спекулятивные контуры во время написания заметки]].

Предупреждение:  [[«Лучшее ведение заметок» упускает суть; важно «лучшее мышление»]]

## Ссылки
Аренс, С. (2017).*Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и писателей научно-популярных книг*.
Если письмо является средством исследования и изучения не что иное, как исследование, то нет причин не работать так, как будто ничто другое не имеет значения, кроме письма.
Сосредоточение внимания на написании, как будто ничто другое не имеет значения, не обязательно означает, что вы должны делать все остальное менее хорошо, но это, безусловно, заставляет вас делать все остальное по-другому. Наличие четкой, ощутимой цели при посещении лекции, дискуссии или семинара сделает вас более вовлеченными и заострите свою концентрацию внимания.
Даже если вы решите никогда не писать ни одной строки рукописи, вы улучшите свои навыки чтения, мышления и других интеллектуалов, просто делая все *так, как будто ничего не имеет значения, кроме письма*.
Большая часть повседневного мышления, вовлеченного в творческую деятельность, просто теряется, как песчаные замки в прилив. Эфемерность на самом деле может быть полезна в низкоточной мысли, но во многих случаях это просто случайное свойство. Мы должны делать свое серьезное мышление в виде [[Вечнозеленые заметки]], чтобы мышление накапливалось.
[[Скачки в понимании возникают из предыдущих мыслей]]. Так где же происходит эта мысль? Это может произойти в вашей голове или в серии мимолетных эскизов на страницах вашей тетради, но  [работа знаний должна аккретировать](https://notes.andymatuschak.org/z6UDDkom8Aifg6mLdjT1sPtbMBweCmpyTwmJT) , и эти механизмы ужасно теряются.
Рассмотрим какой-то гипотетический скачок понимания, который вы хотели бы иметь возможность сделать. Чтобы совершить этот скачок, вам, как правило, нужно развивать много независимых, частично сформированных идей одновременно, пока они внезапно не сойдутся во время вдохновения. Если вам нужно повторять более нескольких частей одновременно, вы можете изо всех сил пытаться держать их в голове.
Напротив, поскольку  [[Вечнозеленые заметки должны быть атомарными]], они достаточно малы по объему, чтобы вы могли начать и закончить одну ноту менее чем за полчаса (см.  [[Вечнозеленые заметки позволяют плавно прогрессировать в письменной форме («инкрементное письмо»)]].   Тем не менее, каждая заметка, которую вы пишете, представляет собой приращение в вашем мышлении об этой конкретной идее, и каждая заметка обогащает более широкую сеть ссылок ( [[Вечнозеленые заметки должны быть тесно связаны]]. Поскольку это [[Вечнозеленые заметки]] , теперь у вас есть четкое место, чтобы стоять на этой конкретной идее.
Заметки, которые вы пишете, будут взаимодействовать с прочитанными вами материалами ( [[Написание вечнозелёных заметок помогает накапливать усилия по чтению]] и будут создавать основы новых рукописей ( [[Исполняемая стратегия письма]].
И если вы не можете написать хотя бы одну атомную записку о вашей идее,  [интервальное повторение может быть полезным инструментом для постепенного развития чернил](https://notes.andymatuschak.org/z7iCjRziX6V6unNWL81yc2dJicpRw2Cpp9MfQ) .
Похожее:  [«Лучшее ведение заметок» упускает суть; важно «лучшее мышление»](https://notes.andymatuschak.org/z7kEFe6NfUSgtaDuUjST1oczKKzQQeQWk4Dbc) 

# Ссылки
Луманн, Н. (1992). Общение с ящиками. В А. Кизерлинг (ред.) и М. Кун (перевод), *Университет мили: Kleine Schriften*(стр. 53–61). Получено с  [http://luhmann.surge.sh/communicating-with-slip-boxes](http://luhmann.surge.sh/communicating-with-slip-boxes) 
Естественно, независимость предполагает минимальную степень внутренней сложности. Скольжения требуют несколько лет, чтобы достичь критической массы. До тех пор он функционирует как простой контейнер, из которого мы можем извлечь то, что вкладываем. Это меняется с ростом его размера и сложности. С одной стороны, увеличивается количество подходов и поводов для вопросов. Скольжение становится универсальным инструментом.
Аренс, С. (2017).*Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и писателей научно-популярных книг*.
Важно [[Пишите о том, что вы читаете]], но вместо того, чтобы просто писать о конкретной книге, которую вы читаете, вы можете (и должны) писать свои заметки таким образом, чтобы ваши наблюдения за чтением накапливались с течением времени, когда они взаимодействуют друг с другом и с вашими собственными идеями (см.  [[Написание вечнозеленых заметок помогает накапливать понимание]], [[Знания должны срастаться]].

Вот почему мы также пишем [[Вечнозеленые заметки]]: чтобы, если мы столкнемся с книгой, в которой обсуждается концепция, о которой мы уже писали, нас подталкивают интегрировать новые идеи с нашей предыдущей концепцией. Конечно, мы обычно делаем это, когда читаем, но мы ограничены нашей ошибочной памятью о других работах, которые могут быть связаны. Экстернализированная система ведения заметок существенно устраняет это ограничение.

Вот почему отчасти для того, что [[Вечнозеленые заметки должны быть концептуальными]]: чтобы структура наших заметок подталкивала нас замечать отношения между идеями в разных текстах - и в нашей собственной работе (см.  [[Вечнозеленые заметки должны быть тесно связаны]],  [[Заметки должны вас удивлять и давать insights]]. 
Заметки, которые вы пишете, также будут создавать основы новых рукописей ([[Исполняемая стратегия письма]]).
Это одна из причин для  [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]].
Похоже, что большинство людей не воспринимают всерьез навык ведение заметок. Для некоторых это происходит потому, что они видят в нем примитивный инструмент (например, [[Большинство людей используют заметки в качестве ведра для хранения или выписывания мыслей]]). У других может возникнуть безразличие к такой практике, потому что они замечают, что [[Практика написания заметок у людей, как правило, неэффективна]].

Но некоторые методы написания заметок намного эффективнее других. Можно стать намного более квалифицированным в написании заметок, и этот навык превращается в ценный результат: [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]].
Создавая [[Как писать хорошие подсказки|https://andymatuschak.org/prompts/]] , я обнаружил, что, когда я писал подсказки для текста, мне часто приходилось возвращаться к прозе, чтобы дать конкретные имена ([[Концептуальный дескриптор]]) конкретным идеям. Если я пишу вопрос о какой-то эвристике или аргументе, мне нужен был способ сослаться на эту идею по имени, не повторяя всю идею в подсказке. Эта потребность усугубляется в нетехнических текстах, где формальный язык по теме может не существовать (или может быть неуместным).

Связанный комментарий Дэвида Чепмена:

Возможно, вам будет интересно услышать (или, во всяком случае, мне интересно узнать!), Что написание подсказок вынуждает меня пересматривать мой текст, и это явно улучшает его. Я должен четко обозначить ключевые моменты там, где я иногда оставлял их на усмотрение читателя.
::TODO


Это не тоже самое? [[Написание вечнозеленых заметок помогает накапливать понимание]]

Связано: [[Эффект генерации]], [[Детальное кодирование]]

!!!Рекомендации

Нильсен, М. (2019, январь). Использование систем повторения с интервалом, чтобы увидеть математику насквозь. http://cognitivemedium.com/srs-mat Mathematics

Матушак А. и Нильсен М. (2019 г., 0 октября). [[Как мы можем разработать преобразующие инструменты мышления?|https://numinous.productions/ttft]]

::Один из нас ранее утверждал, что в системах памяти с интервалом повторения пользователям необходимо создавать свои собственные карты. Аргументация носит неформальный характер: пользователи часто сообщают о неудовлетворенности и плохих результатах при работе с карточками, созданными другими. Причина, по-видимому, в том, что изготовление карточек само по себе является важным актом понимания и помогает закрепить материал в памяти. Когда пользователи работают с картами, созданными другими, они теряют эти преимущества.
Quantum Country нарушает этот принцип, поскольку карты не делают пользователи. Это нарушение было серьезной проблемой, когда мы начали работать над Quantum Country.. Однако предварительные отзывы пользователей говорят о том, что все прошло адекватно. Возможное объяснение состоит в том, что, как отмечалось выше, создание хороших карт - это сложный навык для освоения, и поэтому то, что пользователи теряют, не создавая свои собственные карты, компенсируется использованием карт гораздо более высокого качества, чем они могли бы иметь. сделано своими силами. В будущем стоит углубиться в этот вопрос, чтобы понять его, выходя за рамки неформальных моделей, и изучить способы получения преимуществ от активного создания карт.
References
Nielsen, M. (2018). [[Augmenting Long-term Memory|http://augmentingcognition.com/ltm.html]]


::Сам процесс создания карты Anki почти всегда является формой подробного кодирования. Это заставляет вас обдумывать альтернативные формы вопроса, обдумывать наилучшие возможные ответы и так далее. Я считаю, что это верно даже для самых элементарных карт. И это, безусловно, станет правдой, если вы создадите более сложные карты, карты, связывающие основной факт, который нужно запомнить, с другими идеями (например, ссылка Telstar-ASCII), постепенно создавая сеть тесно взаимосвязанных идей.
::TODO Довольно условно - просто мое грубое, довольно неосведомленное чутье; я не узнал достаточно, чтобы проверить это 

До 20 века наука управления фокусировалась на проблемах индустриальной экономики. Он решал такие проблемы, как производство большего количества виджетов, отслеживая количество времени, затрачиваемого каждым работником на каждую задачу, а затем определяя эффективность. Рабочие были взаимозаменяемыми и неспециализированными, поэтому акцент делался на решении проблем на уровне фирмы и менеджера.

Когда экономический результат сместился к [[Интеллектуальный труд]], сфера деятельности по-прежнему была сосредоточена на менеджере и фирме, поскольку отдельные работники никогда не имели такого большого значения. Это может быть одной из причин, почему [[Основные практики в работе с знаниями часто являются ad-hoc]], и [[Мы не знаем, как измерить продуктивность работников умственного труда]].
Когда одна и та же стопка бумаг лежит у меня на столе в течение месяца, я перестаю их замечать. [[Периферийное зрение]] направляет внимание только тогда, когда {оно несколько постоянно меняется}. Когда {остается прежним}, это может фактически снизить чувствительность наблюдателя.
Большая часть образовательной деятельности в первую очередь ориентирована на результаты обучения, что подрывает их собственные цели ([[Цели обучения часто подрывают себя]], в отличие от [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]]).

Но не во всех номинально-образовательных средах есть эта проблема. Например, студенты-медики, посещающие врачебные кабинеты, платят за обучение и много учатся, но основная цель такого взаимодействия - забота о пациентах . Даже когда их слушатели делают то, что они называют «обучением» - задают вопросы и излагают базовую теорию, - основная цель взаимодействия - обеспечение отличного ухода за пациентами как в тот момент, так и в ближайшие месяцы, когда студент-медик берет на себя все большую ответственность.

Обычно трудно переориентировать существовавшую ранее «образовательную» деятельность на внутренне значимую цель. Культурные ценности и рамки являются серьезными якорями.
https://notes.andymatuschak.org/z325r7Z7eRaocLjg6ADX4tfzUPWDSaynTCbcQ
Хотя [[§Система интервального повторения]], такая как Anki, в первую очередь предназначена для помощи людям в запоминании фактов, их механизм флэш-карт можно использовать для множества других целей.

* Необычные предметы для напоминаний:
** Что-то умное или красивое сделал писатель или художник: почему это сработало? Что могло заставить их подумать об этом? Как это подействовало на вас?
** Вспышки озарения: какое критическое наблюдение открыло глубокое осознание? В каком контексте?
** Моменты, разрушающие модель: кто-то сказал то, чего вы не ожидали, - это другой взгляд на мир. Что заставило их так сказать? Какая разница между таким видением и вашим собственным?
** Изменения в намерении: что заставило вас понять, что ваше старое намерение не служит вам хорошо? Почему это плохо тебе служило? Какая твоя замена? Какие сложные изменения это означает?
** Неудачи: очень точно, в чем была ваша ошибка? Каковы были непосредственные причины этой ошибки? Каковы были причины этих причин? Когда эти причины присутствуют в будущем, какие стратегии вы собираетесь использовать для достижения другого результата?
** Трудные прошлые решения: какие ключевые факторы помогли вам сделать звонок? Как вы сформулировали решение? Что вас удивило в ретроспективе? (через MN, 2020-06-31)
** Хорошие рабочие шаблоны (например, в электронной почте или на встречах): какое влияние этот шаблон оказал на то, как вы и другие чувствовали или действовали? Когда это может быть целесообразно (или нет)? Что кажется важным для его успеха / неудачи? В каких типах будущих ситуаций вы собираетесь опробовать эту схему? (через MN, 2020-06-31)
** Запоминание цитат: используйте промежуточные подсказки, которые, например, представляют только первую букву каждого слова ([[через Divia Eden|https://twitter.com/diviacaroline/status/1278512057550172160]])

* Более широкие типы когнитивных задач: системы памяти с интервальным повторением могут использоваться для подсказки приложения, синтеза и создания
* Упражнения на визуализацию для закрепления счастливых воспоминаний; например, спереди: «визуализируйте свою поездку в Трапани с Сарой»; сзади: фото (через Тейлора Рогальски , 2020-06-11)
См. также Ника Каммарата с пиковыми впечатлениями: https://twitter.com/nickcammarata/status/1315129231102234625?s=20

; Эстетическая растопка; например, спереди: интересное изображение, которое вы нашли во время просмотра веб-страниц, возможно, без подсказки типа «что вы находите в этом поразительного?»; назад: ничего (см. также Кавара , в котором основное внимание уделяется этому типу подсказок)
* [[Интервальное повторение может быть полезным инструментом для развития или изменения привычек]]
* Легкие, необязательные, несрочные задачи: «Вы смотрели, кто недавно ссылался на ваш блог? может там что-то интересное: (ссылка) »
* Подвергать себя мыслям, от которых вы вздрагиваете: например, «Проект X провалился, потому что я знал, что Сал выступал против него с самого начала, и я просто позволил этому гноиться, вместо того, чтобы заняться этим». Здесь может быть эффективным использование закрывающих удалений, чтобы заставить себя завершить наблюдение. ( через Divia Eden, 01.07.2020)
* Помимо простого формата карточек, общий механизм повторения с интервалом может быть применен ко многим областям; см. [[Системы интервального повторения могут использоваться для программирования внимания]].
Одна из причин, по которой [[Практика написания заметок у людей, как правило, неэффективна]], может заключаться в том, что системы заметок обычно не дают обратной связи.

Если кто-то начнет практику повторения с интервалом, он будет получать сильную обратную связь каждый день: если он напишет плохой вопрос, он будет беспокоить его немедленно и регулярно после этого; они почувствуют (до некоторой степени) их растущее удержание данной темы.

Напротив, при ведении заметок обратная связь очень запаздывает: обычно, когда вы пишете заметку, вы можете не видеть ее снова в течение нескольких недель. Отзывы также неоднозначны: если заметка помогает вам понять (или не помогает), это обычно не будет особенно очевидным.

Как правило, люди не имеют четкого представления о том, какой должна быть заметка, поэтому непонятно, когда данная заметка не соответствует этому стандарту.

[[Вечнозеленые заметки]] предлагают более узкие и более мощные петли обратной связи, потому что вы постоянно пересматриваете и просматриваете прошлые заметки. Немного легче заметить, если предыдущее примечание трудно исправить. [[Исполняемая стратегия письма]] также создает более сильную обратную связь о методах ведения заметок.

!!!Ссылки

Аренс, С. (2017). Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и писателей научно-популярных книг.

Есть еще одна причина, по которой принятие заметок в основном идет под радаром: мы не испытываем никаких немедленных негативных отзывов, если сделаем это плохо.
[[Умелое чтение, как правило, нелинейно]], но опыт цифрового чтения часто делает быстрое сканирование и обращение к ним более болезненным просто из-за того, что оно медленное. Когда при перелистывании нескольких страниц вперед или назад возникают икоты или пустые экраны, среда заставляет читателей читать менее эффективно.

Хуже того: поскольку [[При чтении в цифровом формате трудно поддерживать несколько позиций чтения]], часто приходится выполнять много последовательных операций «перелистывания страниц», чтобы перемещаться между соответствующими отрывками. Если бы вы читали физическую книгу, вы бы засунули палец в одну позицию и перевернули бы промежуточные страницы как блок, но цифровой ридер должен испытывать задержки, которые обычно накапливаются с каждой перевернутой страницей.
[[Умелое чтение, как правило, нелинейно]], но опыт цифрового чтения часто делает быстрое сканирование и обращение к ним более болезненным просто из-за того, что оно медленное. Когда при перелистывании нескольких страниц вперед или назад возникают икоты или пустые экраны, среда заставляет читателей читать менее эффективно.

Хуже того: поскольку [[При чтении в цифровом формате трудно поддерживать несколько позиций чтения]], часто приходится выполнять много последовательных операций «перелистывания страниц», чтобы перемещаться между соответствующими отрывками. Если бы вы читали физическую книгу, вы бы засунули палец в одну позицию и перевернули бы промежуточные страницы как блок, но цифровой ридер должен испытывать задержки, которые обычно накапливаются с каждой перевернутой страницей.
Новые участники в  [[Благоприятная (стимулирующая) среда]] могут не сразу сделать то, что она позволяет. Типичным решением является абстрактный вводный опыт: пояснительные руководства, занятия по адаптации, фоновые чтения и т. д. Эти поддержки могут помочь новым участникам в конечном итоге получить доступ к тому, что позволяет среда, но они не идеальны:  [[Благоприятная среда сосредоточена на том, что включено]].

Часто можно улучшить дизайн среды для поддержки более непосредственного участия (например, с помощью  [[Когнитивный каркас]]. Один мощный подход к проектированию:  [[Реализованный опыт может стимулировать активное участие в благоприятных условиях]]
Одна из основных проблем для [[Инструменты для размышления]] заключается в том, что их основные идеи, как правило, дорого производить, но дешево копировать. Например, Adobe разработала бесчисленное количество взаимодействий и метафор в Photoshop и Illustrator, которые Sketch и Figma могли копировать и улучшать, не тратя годы на исследования и разработки. Apple потратила годы на разработку современных мультисенсорных интерфейсов; Google скопировал их менее чем за год и мало пострадал в последовавших судебных исках. Новая идея интерфейса - это грубо говоря, [[Общественное благо]]: они не исключаются ([[Исключаемость]]) по модулю относительно меньших затрат конкурента на дублирование идеи. К счастью (для общества), такие идеи неконкурентоспособны ([[Соперничество]]) или даже антиконкурентны.

Но присвоение конкурентами новых идей интерфейса действительно препятствует производственным усилиям. Поскольку любой может бесплатно использовать начальные вложения в интерфейсы, компаниям трудно оправдать большие затраты на исследования и разработки в этой сфере.

Adobe, конечно, удается отстоять свою позицию, но не из-за своих идей интерфейса. Они разработали тщательно продуманную маркетинговую стратегию. Понятно, что они не вкладывают столько средств в новые идеи интерфейса, сколько, скажем, в продажи и обучение.

Но: [[Видеоигры могут извлечь выгоду из новых идей пользовательского интерфейса]].

!!!References

Matuschak, A., & Nielsen, M. (2019, October). How can we develop transformative tools for thought? https://numinous.productions/ttft
Образовательная среда обычно состоит из действий с известными результатами, включающими известный набор концепций или идей. Ожидается, что учащиеся реконструируют или заново выведут эти концепции для себя в процессе обучения. Но даже в среде «изучения открытий» и курсов по интерпретации гуманитарных наук занятия, как правило, не предназначены для содействия оригинальному мышлению.

Если стремление образовательной среды позволяет учащимся заниматься независимой, личностно значимой интеллектуальной деятельностью, это наблюдение противоречит. Как можно ожидать, что можно подготовить студентов к осмыслению оригинальных мыслей с помощью действий, которые никогда не требуют от них обдумывания оригинальных мыслей - что, по сути, часто препятствует оригинальным мыслям?

Это, по-видимому, является важным ограничением использования [[Реализованный опыт]] для обучения.

См. также: [[Нелл не мыслит оригинально внутри Primer]]
Системы, отображающие обратные ссылки на узел, допускают новое поведение: вы можете определить новый узел экстенсивно (а не намеренно), просто связавшись с ним из многих других узлов - даже до того, как он будет иметь какое-либо содержимое.

Я впервые заметил это в поведении Конора Уайт-Салливана с Роамом. Он писал о наших разговорах в нескольких заметках по всей своей системе (эфемерные ежедневные журналы, списки функций и т.д.). При этом он писал определенные словосочетания (например, мое имя) в качестве ссылок. У этих узлов не было собственного контента, но, когда он делал это в течение нескольких дней, они начали вырабатывать неявное определение в его системе, выраженное через обратные ссылки.

Для этого эффекта требуются [[Контекстные обратные ссылки]]: простой список обратных ссылок неявно определяет узел очень эффективно. Вы должны видеть контекст вокруг обратной ссылки, чтобы понимать, что подразумевается.

Я считаю, что это особенно полезно для терминов искусства и всех видов собственных существительных.

Я также экспериментирую с этой техникой в ​​своих кулинарных заметках; см. например [[Cabbage]].
Поскольку  [[Игры эффективно развивают навыки игроков]], люди представляют, что можно сделать жизнеспособную  [[Обучающие игры]], которая «обучает» конкретным навыкам. 

Обычно это не работает по нескольким структурным причинам:
Разработчики образовательных игр обычно не видят, что эмпирически геймдизайн - это все о  [[«Найди развлечение»]] и  [[Развитие навыков в играх подчинено другим внутренне значимым целям]] и  [[Большинство игр не являются благоприятной средой]]. Это не случайность:  [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]].
Разработчики образовательных игр часто думают: *моя*мотивация будет заключаться в том, чтобы «помочь детям добиться успеха», но мотивация *детей*будет «играть в забавную игру». Это тоже не работает:  [[Авторская среда значительно окрашена мотивами авторов]].
Этой ловушки можно избежать, но только не *пытаясь*сделать «образовательную игру». [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]]

Per Bret:
Дизайн-деятельность, в которой концепции несут вес, но сосредоточены на том, чтобы сделать деятельность по своей сути интересной и радостной как для дизайнера, так и для игрока. Спросите себя: «Люблю ли я играть с этим сам?» И поверьте, что игроки, проводя часы с этими концепциями «в своих руках», получат знакомство, затем беглость, затем понимание, что трудно спроектировать явно.
Еще одно ограничение:  [[Мощные благоприятные среды сосредоточены на использовании экспертами]]. Разработчики образовательных игр обычно сосредоточены на разработке представлений для новичков, но это часто создает пропасть между концепциями, которые игроки изучают, и концепциями, которые используют эксперты (например, SimCity), и это приводит к представлениям с низкими потолками на их мощности.
Концептуально, основной механизм, который дизайнеры образовательных игр пытаются использовать, - это [[Реализованный опыт]]. Они пытаются спроектировать игровые действия таким образом, чтобы естественное участие в игровой среде давало опыт понимания. По крайней мере, инстинктивно, основная мотивация этого обходного подхода к учебному дизайну здесь заключается в том, что [[Реализованный опыт может создать интенсивную личную связь с авторизованными целями]]. Другими словами, они надеются «заставить детей любить учиться!»

В большинстве игр используется этот механизм ([[Игры эффективно развивают навыки игроков]]), но за пределами жанра образовательных игр [[Развитие навыков в играх подчинено другим внутренне значимым целям]].

Опыт в образовательных играх редко кажется разыгранным. Рука «учителя» обычно бывает слишком тяжелой; игроки чувствуют себя беспомощными крысами в чужом лабиринте. [[Реализованный опыт требует причинно-следственной связи, ориентированной на участника]].

Даже когда события кажутся разыгранными (например, в Oregon Trail), они не дают значимого успеха в создании благоприятных условий для игроков: [[Обучающие игры - это обреченный подход к созданию благоприятной среды]]. Но они могут вызвать энтузиазм в отношении предметной области или начать прививать её ценности - слабые формы [[Реализованный опыт может стимулировать активное участие в благоприятных условиях]].
Чтобы успешно изучить что-то новое, люди должны оценивать свое понимание, отслеживать путаницу или несоответствие, планировать дальнейшие действия на основе этих наблюдений и координировать выполнение этого плана. Это часто подпадает под категорию «метапознания», хотя его феномены предпочитают разделить.

В классе или в профессиональной среде эксперт может выполнять некоторые из этих задач для учащегося ([[Метакогнитивная поддержка как как когнитивная опора]]), но когда учащийся сам по себе, эти метакогнитивные действия могут быть утомительными или недоступными. 

К сожалению, большинство пояснительных СМИ заставляют участников запускать собственные циклы обратной связи.
Объем рабочей памяти человека - это теоретическое максимальное количество элементов ([[«Чанки» в человеческом познании]]), которые он может запоминать одновременно, не привязывая их к долговременной памяти.

::TODO: здесь я объединяю «непосредственную память» и «рабочую память», не понимая полностью взаимосвязи. Некоторые исследователи, кажется, трактуют эти термины как синонимы, в то время как другие (Conway, 2005, стр. 779) проводят намеренное различие, которое я еще не усвоил::

Это не точно измеримая величина: определение элемента нечеткое, а охват предметов несколько различается в зависимости от контекста и типа элемента. Обычно экспериментаторы говорят о более конкретном интервале рабочей памяти, таком как «интервал чтения», который относится к задаче, в которой {испытуемые читают последовательность предложений и пытаются запомнить последнее слово в каждом} (см. Обзор типов задач, Conway и др., 2005).

Хотя ценность зависит от задачи и контекста, она кажется на удивление последовательной. Среди когнитивных психологов ведутся серьезные споры о среднем значении. Экспериментаторы начала-середины 20-го века (например, Crannell and Parrish, 1957) оценивают значение около 5-7, но более поздние экспериментаторы предполагают (например, Cowan, 2001), что это значение ближе к {4} и что более высокие значения Указанные субъекты тонко перекодируют стимулы в более крупные фрагменты (см.[[Пропускная способность человеческого канала увеличивается с увеличением количества бит-на-чанк]]).

Связанный: [[Сложные идеи может быть трудно усвоить отчасти из-за того, что их компоненты переполняют рабочую память]].

!!!References
Conway, A. R. A., Kane, M. J., Bunting, M. F., Hambrick, D. Z., Wilhelm, O., & Engle, R. W. (2005). Working memory span tasks: A methodological review and user’s guide. Psychonomic Bulletin & Review, 12(5), 769–786. https://doi.org/10.3758/BF03196772

Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24(1), 87–114. https://doi.org/10.1017/S0140525X01003922

Crannell, C. W., & Parrish, J. M. (1957). A Comparison of Immediate Memory Span for Digits, Letters, and Words. The Journal of Psychology, 44(2), 319–327. https://doi.org/10.1080/00223980.1957.9713089
Букв алфавита более чем в два раза больше, чем числовых цифр, поэтому вы можете ожидать, что мы сможем запомнить строки цифр примерно в два раза больше  букв. Но на самом деле типичный  [[Объем рабочей памяти]] - это {шесть} букв и около {семь} цифр (например, Крэннелл и Пэре, 1957).
См.:  [[«Чанки» в человеческом познании]]) 

!!!References
Crannell, C. W., & Parrish, J. M. (1957). A Comparison of Immediate Memory Span for Digits, Letters, and Words. The Journal of Psychology, 44(2), 319–327. https://doi.org/10.1080/00223980.1957.9713089

Miller, G. A. (1956). The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychological Review, 63(2), 81–97. https://doi.org/10.1037/h0043158 Miller - The magical number seven, plus or minus two
Если вы были новичками в Photoshop, и я сразу представил весь его интерфейс, вам может быть трудно сделать первый шаг. Но вы могли бы чувствовать себя более комфортно, если бы начали в «приветственном» рабочем пространстве с большей части панелей и инструментов скрытыми. Тогда вы можете раскрыть каждую часть интерфейса, как обнаружили, что вам нужно, или в ответ на ваше любопытство к чему-то.
Аналогичным образом, при объяснении новой концепции часто полезно начать с ограниченной версии проблемы. Например, объясняя, как сделать и сбалансировать уксус, вы можете изначально сосредоточиться на одной паре масло/кислота.

В видеоиграх игроки часто начинают с небольшого набора способностей или в среде, где некоторые типы проблем никогда не появляются. Сначала это делает игру более жизнеспособной.

Ограничения являются одним из способов построения мелкозернистых прогрессий задач (см. [[Детализированная последовательность задач как когнитивная опора]]), но их не нужно использовать таким образом. Например, начинающий фотограф может конструктивно провести целый год на съемку с фиксированной диафрагмой, фокусным расстоянием и ISO, регулируя только выдержку.
[[§Система интервального повторения]] чрезвычайно эффективны для запоминания. Фактически, они настолько эффективны, что, как только кто-то усвоит надежную привычку повторения с интервалом, «пропускная способность» системы, как правило, ограничивается тем, сколько хороших подсказок они могут написать, а не тем, сколько материала они могут усвоить.

[[Трудно написать хорошие подсказки для интервального повторения]]. Очевидное решение - объединить подсказки, как это делает [[Quizlet]] и другие, но изучение подсказок с интервалом повторения другого человека обычно неэффективно . [[Мнемоническая среда]] является одним общим решением: [[Мнемоническая среда может помочь в написании подсказок с помощью подсказок, предоставленных автором]] .

Например, я обнаружил, что могу обрабатывать около 40 новых запросов в день, сохраняя при этом разумную продолжительность сеансов. И если я провожу час или два за чтением в день, я, вероятно, израсходовал достаточно материала, чтобы получить 40 подсказок. Но написание 40 подсказок добавит 30-60 минут напряженной работы к обычным сеансам чтения, поэтому я могу написать только несколько. В некотором смысле это могло бы быть лучше: возможно, мне не следует продолжать заниматься материалом, о котором я не слишком забочусь, чтобы писать подсказки. Но мне кажется, что мы не находимся на границе эффективности. Есть материал, для которого я бы сам не стал писать подсказки, но для которого мне было бы полезно просмотреть подсказки. И процесс можно было бы сделать менее трудоемким для материала, который я бы подсказал ([[Написание собственных подсказок для интервального повторения, кажется, способствует пониманию]]).

В общем, решение этой проблемы может быть практической разницей между запоминанием всего интересного, что я читал, и запоминанием 10% самых интересных вещей, которые я читал. Если бы я действительно добавлял 40 подсказок в свою коллекцию каждый день, это было бы почти 15 тысяч предметов в год! Посмотрите, [Какова максимальная скорость использования эффективной системы памяти с интервальными повторениями?]]

Предварительно я обнаружил, что написание подсказок в контексте моих собственных заметок менее трудоемко; типичное число, которое я пишу по теме, в этом контексте выше, чем при обучении с использованием одной только системы памяти. (см . [[Мнемоническая среда может быть расширена до личных заметок]]).
Многие статьи опубликованы в этом направлении. Собираем фаворитов:

Psychological Theory Matters in the Big Data Era. In M. N. Jones (Ed.), Big data in cognitive science (pp. 34–64).
Во многих областях эксперты становятся экспертами, в основном, за счет развития более сложных ментальных представлений ([[Ментальные представления, после Ericsson and Pool]]), что равносильно увеличению размера их ментальных фрагментов ([[«Чанки» в человеческом познании]]). Это увеличивает их способность обработки информации ([[Пропускная способность человеческого канала увеличивается с увеличением количества бит-на-чанк]], [[Перекодирование может увеличить размер чанка]]). Это происходит на практике: [[Хорошая практика кодирует более эффективные схемы перекодирования чанков]].

Что отличает опытных исполнителей от всех остальных, так это качество и количество их мысленных представлений.
(Эрикссон и Пул, 2016 г., стр. 62, цитируется не очень хорошо)

Например, модель, разработанная Саймоном и Гилмартином (1973), предполагает, что шахматные мастера закодировали порядка десятков тысяч фрагментов. (См. также [[Чейз и Саймон - Восприятие в шахматах]]).

[[Работа со знаниями часто требует решения поисковых задач]]. Эрикссон и Пул предполагают, что эффективность экспертного поиска зависит от более сложных схем фрагментов (2016, стр. 70-72). Аргумент не очень убедительный, но поскольку [[Пропускная способность человеческого канала увеличивается с увеличением количества бит-на-чанк]] , это, по-видимому, объясняет превосходную производительность отбраковки и обратной связи.

---

!!!References
"""
Simon, H. A., & Gilmartin, K. (1973). A simulation of memory for chess positions. Cognitive Psychology, 5(1), 29–46.  [https://doi.org/10.1016/0010-0285(73)90024-8](https://doi.org/10.1016/0010-0285(73)90024-8)

Ericsson, A., & Pool, R. (2016). *Peak: Secrets from the New Science of Expertise* (1 edition). Eamon Dolan/Houghton Mifflin Harcourt. [[Пик - Ericsson and Pool]]
"""
[[Эффективность практики очень чувствительна к дизайну метода]] ; после определенного уровня производительности, эффективности. [[Целенаправленная практика, после Ericsson and Pool]], как правило, требует от опытного тренера знаний о методах практики, а также их надзора и обратной связи. Например, опытный коуч (обычно также или ранее опытный практикующий специалист) будет изобретать новые задачи (на основе своих знаний практических методов) для преодоления слабых мест.

Серьезные студенты могут тратить на практику десятки часов в неделю, но, поскольку индивидуальные занятия обходятся дорого, большая часть этого, вероятно, будет проводиться в одиночку или в группе. Таким образом, ключевая роль опытных коучей состоит в том, чтобы направлять индивидуальную практику студентов: студенты встречаются с тренером один или два раза в неделю на пару часов, и коуч предложит, чем студенту следует потратить оставшиеся 20 часов в эту неделю.

---
"""
Q. В большинстве областей практики, как тренеры влияют на повседневные усилия студентов?
A. Направляя их индивидуальную практическую деятельность между практическими занятиями.

Q. Почему студенты обычно проводят большую часть своего времени на индивидуальной практике, даже если у них есть тренер?
A. Навыки на уровне эксперта требуют многих часов практики, а индивидуальное обучение стоит дорого.

Q. Почему тренеры обычно должны быть бывшими практикующими специалистами?
A. Экспертная фасилитация часто требует изобретения новых методов практики, что требует обширного личного опыта практической работы.

Q. Помимо своих практических знаний в данной области, какие знания опытный коуч привносит в практику студента?
А. Знание методов обучения
"""

---

References
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363. Ericsson et al - The Role of Deliberate Practice in the Acquisition of Expert Performance


//*Ad hoc — латинская фраза, означающая «специально для этого», «по особому случаю». Как правило, фраза обозначает способ решения специфической проблемы или задачи, который невозможно приспособить для решения других задач и который не вписывается в общую стратегию решений, составляет некоторое исключение*//

Работники знаний регулярно включают в себя сложные, недостаточно определенные задачи, такие как понимание основ новой отрасли или написание записки по некоторым стратегическим соображениям. Даже когда эти обязанности являются основой их работы, подход информационных работников к этим задачам часто является специализированным - созданным на месте на основе прошлого опыта, инстинктов, афоризмов и прихоти. Эта практика противоположна [[Исполняемая стратегия]].

Этот способ работы в значительной степени зависит как от практики, так и от контекста, поэтому специалистам по знаниям трудно делиться и накапливать знания об этих практиках.

Без постоянной основы для отстаивания, работникам, занимающимся знаниями, трудно оценивать и развивать свою собственную эффективность по сравнению с этими основными задачами. [[Спортсмены и музыканты гораздо более строго преследуют виртуозность в фундаментальных навыках, чем работники, занимающие знаниями.]] 

Поскольку эти процессы не рассматриваются систематически, работники, занимающиеся знаниями, как правило, не структурируют результаты этих задач так, чтобы со временем они накапливались во что-то более ценное ([[Знания должны срастаться]]).
Было интересно сравнить точность читателей по вопросам Quantum Country с точностью нескольких опубликованных на данный момент нетехнических мнемонических эссе. В Quantum Country 109/112 (97%) вопросов имеют точность в эссе> 50%; 97/112 (86%) имеют> 75%.

Но другие эссе имеют гораздо более низкие показатели точности (точность 50 +%, точность 75 +%):

* Я, Как писать хорошие подсказки : 83%, 33%
* Баклажан, [[Карты, территория и метарациональность|https://metarationality.com/maps-and-territory]] : 86%, 50%
* [[Нинтил, был ли Планк прав? Влияние старения на продуктивность ученых|https://nintil.com/age-and-science/]] : 90%, 77%
(мне, вероятно, следует просто визуализировать эти распределения - это трудно прочитать)
Я отмечаю, что в курсе Мэтта Клэнси по микроэкономике с использованием орбиты распределение точности вопросов ближе к квантовым странам, чем к этим нетехническим эссе.

Режимы отказа также хуже: худшие вопросы QC забываются примерно в половине случаев; худшие вопросы этих эссе забываются в 70% случаев.

Вероятно, это одно из количественных отражений [[Мнемоническая среда]], формулировок, [[Читатели мнемонического носителя иногда чувствуют затруднения из-за выбора авторами формулировок]] 

Вероятно, мы можем многому научиться, пытаясь пересмотреть все эти подсказки так, чтобы они почти все превышали 50%.
Подписки на RSS, информационные бюллетени электронной почты и т. Д. Легко рассматривать как взаимозаменяемые с почтовым ящиком для чтения, но они должны быть четко разделены. (см. [[Почтовый ящик для чтения для сбора потенциально полезных ссылок]])

[[Ящики входящих работают только в том случае, если вы доверяете тому, как они очищаются.]]. То есть важно, чтобы все добавленное было либо прочитано, либо удалено, чтобы, если ссылка кажется интересной, вы могли добавить ее в этот список с уверенностью, что вернетесь к ней позже. Один из эффективных способов обеспечить это свойство - //добавить все самостоятельно//.

Если вы автоматически импортируете контент, то, когда вы сядете читать, вы увидите много контента, к которому у вас нет непосредственной связи. Этот материал будет перемежаться с содержанием, которое вы намеренно добавили, потому что у вас была сильная эмоциональная связь, что ослабит последнее.

Если вы автоматически импортируете контент, почтовый ящик для чтения может периодически становиться пугающе длинным. Это мешает вам открывать его, что делает его менее надежным.

Если вы автоматически импортируете контент, очистка почтового ящика для чтения становится дороже. Чтобы решить, выбросить ли эти предметы в корзину или внимательно прочитать, вы должны сначала понять, что они собой представляют. Напротив, если вы добавили элемент вручную, вы обычно уже имеете некоторое представление о том, что это такое, или имеете некоторый контекст, который что-то указывает на его ценность. Переключение назад и вперед между оценкой элементов для чтения и их фактическим чтением утомляет.

Если вы добавите контент самостоятельно, вы создадите собственное противодействие: вы будете иметь некоторое представление о том, насколько велик ваш почтовый ящик для чтения, и поэтому вы можете дважды подумать, чтобы добавить что-то сомнительное.

---

!!!References
[[Note-Taking when Reading the Web and RSS • Zettelkasten Method|https://zettelkasten.de/posts/reading-web-rss-note-taking/]]

Сеть полна шума, как и эта часть сети, на которую я подписался. Мне нужно найти какой-нибудь сигнал. Это означает, что я должен решить, о чем я хочу знать, а что нельзя.
Задачи, описанные в разделе [[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]], подтолкнув читателей к использованию того, что они узнали, для получения ответа. Эти подсказки не будут выполнять свою работу, если читатели могут просто запомнить ответы: тогда они станут подсказками для отзыва. Наше простое решение - [[Запросы приложения должны изменяться при повторении]].

"""

Q. Почему не следует извлекать ответы на запросы приложений на мнемоническом носителе из памяти?
A. Читатели должны использовать то, чему они научились, чтобы дать ответ, а не черпать ответ по памяти.
"""
Связи между материалами в информационной системе (например, [[Вечнозеленые заметки должны быть тесно связаны]]) могут быть мелкозернистыми (например, цитата в середине предложения бумаги) или крупнозернистыми (например, раздел «см. также»).

Как правило, лучше создавать мелкозернистые ассоциации. Например, вместо того, чтобы оценивать перемешанный список статей, связанных с читаемой вами документом, более полезно видеть, что я заметил, что статья X относится к пункту N.

Это особенно верно, когда ссылки двунаправленны, так как вам понадобится помощь, чтобы понять, почему «обратные» отношения имеют смысл.
* [[Мощные инновации часто сосредоточены на создании новых парадигм, а не на решении проблем текущего контекста]]

* [[Insight через создание]]

* [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]]

* [[Insight через создание самого начала предпочитает бриколаж, а не долгий процесс дизайна]]

* [[Написание вечнозеленых заметок помогает накапливать понимание]]

* [[Мозговой штурм часто может заменить недостающие системы накопления insights]]
Насколько мне известно, ни одна программа для чтения PDF или EPUB не позволяет читателям просматривать несколько страниц одновременно. Если вы хотите просмотреть часть библиографии, которая соответствует главе, которую вы читаете, вам нужно будет пролистывать ее вперед и назад. [[LiquidText]] - единственное известное мне исключение для массового рынка.

Помимо прочего, это усугубляет ситуацию. [[Физическое вырезание и вставка - это параллельный акт, включающий неформальные промежуточные состояния]].

Связано: [[При чтении в цифровом формате трудно поддерживать несколько позиций чтения]].
Pendleton-Jullian, A. M., & Brown, J. S. (2018). Design Unbound (Vol. 1–2). MIT Press.

Design Unbound утверждает, что современные потребности вышли за рамки традиционных систем проектирования, в которых могут быть известные требования, понятные контексты и системы доставки. Современные контексты - это «белая вода»: требования постоянно меняются; системы действуют в мире, но также и в мире, непрерывно изменяя его; Объекты дизайна часто представляют собой сети людей и систем в той же мере, в какой они являются объектами или механизмами.

* [[Системы действия, после ApJ и JSB]]
* [[Великая творческая работа обычно является продуктом одного человека]].
** В противоречии с утверждениями книги: традиционные методы проектирования не могут создавать системы, требующие глубокого понимания предмета.
См. также [[Желательные трудности, после Бьорк]]

!!!References

Reder, L., & Klatzky, R. L. (1994). Transfer: Training for performance. In D. Druckman & R. A. Bjork (Eds.), Learning, Remembering, Believing: Enhancing Human Performance (pp. 25–56). National Academies Press. https://doi.org/10.17226/2303
[[Пропускная способность человеческого канала увеличивается с увеличением количества бит-на-чанк]]. Но нам не нужно полагаться на «внутренний» размер фрагмента стимула. Можно увеличить эффективный размер фрагментов стимулов, перекодировав их, то есть мысленно перегруппировав их в блоки, представляющие более крупные паттерны. Эти схемы блоков также называются [[Ментальные представления, после Ericsson and Pool]].

Например, при попытке запомнить последовательность двоичных цифр можно вместо этого запомнить их как октеты (например, 010 = 2, 101 = 5 и т. д.), Что примерно утроит вашу способность (Miller, 1956). Чейз и Эрикссон (1982) использовали эту технику для увеличения диапазона цифр студента до 80 цифр посредством иерархического перекодированная в блоки из 4 десятичных цифр.

Этот процесс важен не только потому, что он помогает нам запоминать полезную информацию, но и потому, что он, вероятно, является ключом к тому, как кто-либо обрабатывает любой сложный материал (в частности, [[Опыт требует построения сложных схем перекодирования чанков]]). Пианист сначала читает отдельные ноты (C, E, G - ах, аккорд C!), Но позже видит эту форму как отдельный аккорд (ах, трезвучие до мажор). При первом подходе невозможно читать музыку любой реальной сложности с листа.

Эти паттерны (например, форма большой триады) можно использовать как «фрагменты» только после того, как они сохранены в долговременной памяти.

[[Чейз и Саймон - Восприятие в шахматах]], предполагающих, что шахматные мастера используют блоки большего размера (и, возможно, иерархические конфигурации блоков).

Похожее: [[Сложные идеи может быть трудно усвоить отчасти из-за того, что их компоненты переполняют рабочую память]].

!!!References
Чейз, У. Г. и Эрикссон, К. А. (1982). Навыки и рабочая память. В Г. Х. Бауэр (ред.), Психология обучения и мотивации (Том 16, стр. 1–58). Академическая пресса. https://doi.org/10.1016/S0079-7421(08)60546-0](https://doi.org/10.1016/S0079-7421(08)60546-0) 

Миллер, Дж. А. (1956). Магическое число семь, плюс или минус два: Некоторые ограничения нашей способности обрабатывать информацию. Психологический обзор, 63(2), 81–97.  [https://doi.org/10.1037/h0043158 ](https://doi.org/10.1037/h0043158) [[Миллер - Магическое число семь, плюс или минус два]]
Мое физическое рабочее пространство полно тонких подсказок. Книги, которые я прочитал или купил совсем недавно, разложены. Бумаги, которые я скопил, лежат стопками на моем столе, очень грубо разложенные по отношению друг к другу. Я замечаю сломанную дверь каждый раз, когда прохожу мимо нее. Эти сигналы вместе дают мне своего рода «периферийное зрение»: когда я делаю что-то одно, мне легко плавно замечать другие близлежащие вещи. В любом случае, пока периферическое зрение достаточно динамично - [[Неизменяющееся периферийное зрение снижает чувствительность]].

Программные системы, напротив, часто лишены такого периферийного зрения. (Хотя было несколько попыток; см., например, [[Агенты своевременного получения информации]])

!!!Периферийное зрение может спонтанно побуждать к действию

Цифровые списки задач находятся в специальном приложении. У меня нет естественной причины просматривать содержимое этого приложения. Если мне нужно починить сломанную дверь, я буду периодически напоминать об этой задаче, когда хожу по дому. Но если задачи находятся в основном в цифровом списке задач, мне нужно выработать привычку явно просматривать свой список задач.

!!!Периферийное зрение подчеркивает конкретное

Непрочитанные электронные книги и документы хранятся в какой-то папке или приложении, невидимы, пока я не решу, что «пора читать». Но это путает причину и следствие. Когда я оставляю книги лежать на кофейном столике, я, естественно, замечаю их в моменты восприятия и решаю начать читать, основываясь на своей реакции на конкретную книгу. В этих случаях мотивация к чтению бумажных книг проистекает из моего реального интереса к конкретной работе; Мотивация к чтению цифровых книг проистекает из моего абстрактного интереса к привычке к чтению.

Это большая проблема с системой, описанной в разделе [[Почтовый ящик для чтения для сбора потенциально полезных ссылок]].

!!!Периферийное зрение предлагает контекст

Если я размечу физическую книгу, а затем пролистываю, чтобы увидеть свои заметки на полях, я всегда вижу их в контексте окружающего текста. Напротив, списки цифровых аннотаций обычно отображают только выделенный мной текст, удаленный из его контекста. Первичная «единица» в таких системах - это отдельное выделение или примечание, но я так не думаю. Метки на полях имеют нечеткие границы, и я часто думаю о разметке страницы как о единой единице.

[[LiquidText]] - прекрасный контрпример: он усердно работает для отображения аннотаций в контексте.


Все это отчасти объясняет, почему мне нравится среда Studio: постоянное физическое окружение работой очень отличается от необходимости выбирать какой-то элемент работы.
Создатель [[Supermemo]] и популяризатор [[§Система интервального повторения]], и [[Поэтапное чтение]].
Ericsson, A., & Pool, R. (2016). *Peak: Secrets from the New Science of Expertise* (1 edition). Eamon Dolan/Houghton Mifflin Harcourt.

Authors: {Anders Ericsson} and {Robert Pool}
Publication year: {2016}

---

!!!1. Сила целенаправленной практики
* [[Во многих сферах деятельности планка виртуозности стремительно поднялась]]
* [[Наивные подходы к практике: быстрое плато]]
** Напротив, [[Целенаправленная практика, после Ericsson and Pool]] может достичь большего.
** [[Плато производительности часто требует изменения подхода к преодолению]]

!!!2. Использование адаптируемости
* [[Физические и когнитивные способности человека можно удивительно значительно расширить с практикой]].
** Практика зависит от пластичности: [[Практика когнитивных навыков может расширить связанный неврологический потенциал]].
* [[Развитие навыков требует непростого гомеостаза]]

!!! 3. Ментальные представления (чанки)
* Заглавная концепция: [[Ментальные представления, после Ericsson and Pool]]
** Эта монетная система (coinage) основана на «чанках» ([[«Чанки» в человеческом познании]]). См. подробные примечания в [[Миллер - Волшебное число семь, плюс или минус два]].

* Центральное утверждение: [[Опыт требует построения сложных схем перекодирования чанков]].
** (потому что [[Сложные идеи может быть трудно усвоить отчасти из-за того, что их компоненты переполняют рабочую память]])
** например для подробного обсуждения шахматной экспертизы см. [[Чейз и Саймон - Восприятие в шахматах]].
	
* Все дело в практике: [[Хорошая практика кодирует более эффективные схемы перекодирования чанков]].
** [[Эффективные схемы чанков обычно кодируют атрибуты, зависящие от домена]]
** Физическая работоспособность экспертов также зависит от сложных умственных представлений (стр. 82-83).

::«… По мере того, как мы искали способы сделать наше сообщение более понятным для читателя, мы придумывали новые способы думать о сознательной практике сами. Исследователи называют такой вид письма «трансформацией знаний»… потому что процесс письма изменяется и дополняет знания, которые писатель имел в начале». (75-76 [[Письменная практика усиливает понимание]], [[Insight через создание]]. 

!!!4. Золотой стандарт
Эта глава (ну, вся книга, но особенно эта глава) в основном представляет собой популярное резюме [[Эрикссон и др. - Роль преднамеренной практики в приобретении экспертной деятельности]].

* Некоторые виды целенаправленной практики намного эффективнее других. Авторы считают, что наиболее эффективный вид - «осознанная практика».
** Должны быть объективные показатели производительности
** У исполнителей должен быть сильный стимул практиковаться и совершенствоваться (обычно через соревнования).
** Сферы хорошо изучены, навыки стандартизированы и развиваются в течение длительного периода.
** Некоторые исполнители служат тренерами; у них есть мощные методы обучения
*** Новые методы обучения открывают новые уровни достижений и т. д.

* Ключевые примеры:
** музыка (особенно скрипка и фортепиано): см. Ericsson, Tesch-Römer, Krampe 1990 и 1993
*** время одиночной практики во многом определяет производительность
**** в частности, необходимым ингредиентом были тысячи часов практики: «без ярлыков и без« вундеркиндов»
*** даже лучшие ученики считали практику неинтересной и им не нравилась работа, которую они делали для улучшения
**** мотивация возникла из желания повысить производительность
* балет
** аналогично, время одиночной практики во многом определяло производительность
*** «Мы не обнаружили никаких признаков того, что кто-то родился с таким талантом, который позволил бы достичь высших балетных ступеней, не работая так тяжело или упорнее, чем кто-либо другой»
* шахматы
** «Никто не достигает уровня гроссмейстера менее чем за десять лет интенсивного обучения»
* Чтобы стать экспертом в этих областях, требуется помощь инструктора.
* Студенты могут стать вундеркиндами в более молодом возрасте благодаря достижениям в методах обучения.
* Как работает осознанная практика (стр. 97) (см. E, T-R, K ’93)
** студенты встречаются с учителями небольшое количество раз в неделю
** учителя назначают практические занятия
*** для развития этих действий требуется, чтобы кто-то достиг такого уровня производительности, на котором он мог бы развивать эти практические действия и передавать их
*** «Навыки, которые другие люди уже поняли, и для которых созданы эффективные методы обучения».
*** эти действия кодируют теорию о том, что делают опытные исполнители, чтобы преуспеть
** эти практические занятия адаптированы к ZPD
** требует разборчивости для ученика: он должен видеть свой прогресс
** как целенаправленная практика, требует внимания, обратной связи, хороших дополнительных целей, мысленных представлений
** звучит так, как будто бурение (drilling) - это основная часть: «Осознанная практика почти всегда включает в себя создание или изменение ранее приобретенных навыков, сосредоточив внимание на определенных аспектах этих навыков и работая над их конкретным совершенствованием; со временем это поэтапное улучшение в конечном итоге приведет к повышению квалификации специалистов ». (стр.100)
* Авторы утверждают (стр. 98), что нет преднамеренной практики для того, чтобы быть менеджером или инженером, потому что нет объективных критериев превосходной работы. Для меня это не имеет смысла.
* В тех областях, где осознанная практика невозможна, подойдите как можно ближе (стр. 103).
** «Сначала определите опытных исполнителей, затем выясните, что они делают, что делает их такими хорошими, а затем придумайте методы обучения, которые позволят вам это делать».
** Но сложно выделить экспертов в областях без объективных показателей.
** «Если у вас есть психологическая склонность, возможно, стоит поговорить с опытными исполнителями и попытаться понять, как они подходят к задачам и почему. Однако даже при таком подходе вы, вероятно, откроете лишь небольшую часть того, что делает их особенными, потому что часто даже они не знают об этом ».
** Или просто выясните, что отличает их тренировку от других (с. 107, пример с бегуном).
* Хорошие тренеры не просто ставят вам оценки: они понимают ваши мысленные представления и подсказывают, как более эффективно думать о проблеме.
* Правило 10 000 часов - это не правило
** Число варьируется от области к области
** В некотором смысле это нижняя граница: профессиональные пианисты, вероятно, потратят 25 тысяч часов к тому времени, когда они выиграют международные соревнования.
** Это также, безусловно, недостаточный критерий. Во всяком случае, это скорее необходимое условие.
** Но главное, что верно, это то, что для того, чтобы стать экспертом, требуется огромное количество времени и усилий в течение многих лет.
** Вы должны смотреть на время, потраченное на осознанную практику, а не только на время, проведенное в поле.
Письмо - отличный способ оказать давление на ваше мышление: трудно резюмировать то, чего вы не совсем понимаете.  Пытаясь объяснить идею, вы, естественно, попробуете несколько обрамлений, конкретизируете ее края и увидите новые связи.  Это одна из причин, почему [[Написание вечнозеленых заметок помогает накапливать понимание]] и почему вам следует [[Пишите о том, что вы читаете]].

Дополнительный шаг по созданию ассоциаций и интеграции этого написания с предыдущими заметками (то есть для создания [[Вечнозеленые заметки]], особенно потому, что [[Вечнозеленые заметки должны быть концептуальными]]) делает этот эффект еще более мощным, потому что вы должны понимать, как данная идея соотносится с другими идеями. И когда вы сравниваете новые идеи со старыми, вы можете увидеть, чего не говорится в новой работе.

Эта практика представляет собой грубый вид метакогнитивной поддержки: [[Метакогнитивная поддержка как как когнитивная опора]].

Это наблюдение, по-видимому, верно даже в отношении письма без прозы: [[Многим выдающимся мыслителям нужна письменная поверхность, чтобы думать]].

!!!Рекомендации
Ahrens, S. (2017). How to Take Smart Notes: One Simple Technique to Boost Writing, Learning and Thinking – for Students, Academics and Nonfiction Book Writers.

Если мы попытаемся обмануть себя здесь и записать непонятные слова, мы обнаружим это на следующем этапе, когда попытаемся превратить наши литературные заметки в постоянные заметки и попытаться связать их с другими.

Написание заметок и их сортировка в почтовом ящике - не что иное, как попытка понять более широкий смысл чего-либо.  Слип-бокс заставляет нас задавать множество уточняющих вопросов: что это значит?  Как это связано с…?  В чем разница между … ?  На что это похоже?

Опытные академические читатели обычно читают текст, имея в виду вопросы, и пытаются соотнести его с другими возможными подходами, в то время как неопытные читатели склонны воспринимать вопрос текста и рамки аргументации как данность.  Что могут сделать хорошие читатели, так это выявить ограничения конкретного подхода и увидеть то, что не упоминается в тексте.

Написание заметок и их сортировка в почтовом ящике - не что иное, как попытка понять более широкий смысл чего-либо.  Слип-бокс заставляет нас задавать множество уточняющих вопросов: что это значит?  Как это связано с…?  В чем разница между … ?  На что это похоже?

Kant, I. (1996). An answer to the question: What is enlightenment? In A. Wood (Ed.), & M. J. Gregor (Trans.), Practical philosophy (pp. 11–22). https://doi.org/10.1017/CBO9780511813306.005 (Original work published 1784)

Просветление - это выход человека из собственного меньшинства.  Меньшинство - это неспособность использовать собственное понимание без указания другого.  Это меньшинство само по себе, когда его причина не в непонимании, а в отсутствии решимости и смелости использовать его без указаний других.  Sapere aude!  Не бойтесь быть мудрыми!
Важно написать о том, что вы читаете:

* потому что  [[Понимание требует активного вовлечения]]
** и, в частности,  [[Письменная практика усиливает понимание]]
** помните:  [[Сбор материала для заметок без его переработки - не эффективен]]
* потому что в противном случае вы не будете  [[Думайте самостоятельно]] 
* потому что  [[Знания должны срастаться]], а  [[Написание вечнозелёных заметок помогает накапливать усилия по чтению]] 
* действительно:  [[Большинство людей читают неэффективно]]
  
Недостаточно просто выделить или написать маргиналии в книгах: нет большого давления, чтобы синтезировать, соединиться или добраться до сути вещей. И они ничего не суммируют с течением времени, когда вы читаете больше. Вместо этого пишите  [[Вечнозеленые заметки]] по мере чтения.
С другой стороны, стоит отметить:  [[Самые эффективные читатели и мыслители, которых я знаю, не делают заметок при чтении]]. Говоря, по крайней мере, от имени себя, опыт показал, что мне нужна дополнительная поддержка, чтобы эффективно участвовать в том, что я читаю.

Наш широкий подход - это чередующийся цикл:
# Собирайте отрывки, которые кажутся интересными, и мысли, которые появляются во время чтения:  [[Как собирать наблюдения во время чтения]] 
# Обрабатывайте кластеры этих отрывков и мыслей в долгосрочные заметки:  [[Как превратить аннотации чтения в вечнозеленые заметки]] 

!!!Ссылки
Luhmann, N. (1992). Communicating with Slip Boxes. In A. Kieserling (Ed.), & M. Kuehn (Trans.), Universität als Milieu: Kleine Schriften (pp. 53–61). Retrieved from http://luhmann.surge.sh/communicating-with-slip-boxes

Невозможно думать без письменной речи; по крайней мере, это невозможно каким-либо сложным или сетевым способом (*anschlußfähig*).

Levy, N. (2013). Neuroethics and the Extended Mind. In J. Illes & B. J. Sahakian (Eds.), Oxford Handbook of Neuroethics (pp. 285–294). Oxford University Press.

Заметки на бумаге или на экране компьютера … не делают современную физику или другие виды интеллектуальных усилий, они делают это *возможным*.
[[Преднамеренная практика]] требует, чтобы вы всегда толкали свою зону комфорта. 

Оттачивая данный набор практик, часто можно работать постепенно лучше, но доходность обычно снижается. На тот момент «как правило, решение заключается не в том, чтобы «постараться усерднее», а скорее в том, чтобы попробовать по-другому» (Ericsson & Pool, 2016, стр. 19). (По сравнению с [[Наивные подходы к практике: быстрое плато]])
Следовательно:  [[Эффективность практики очень чувствительна к дизайну метода]].

Тренеры могут помочь здесь, так как они в целом знакомы с барьерами, с которыми вы можете столкнуться, и с какими альтернативными подходами могут помочь.

Красиво резюмируя словами: «То, что вас сюда, не доставит вас туда». (Маршалл Голдсмит).

Эмпирические примеры:

* В серии экспериментов над  [[Объем рабочей памяти]] Чейз и Эрикссон сообщают, что их объект застрял на плато, пока он не заменил свою первоначальную стратегию репетиции мнемонической техникой (1981, с. 146–147).

Связанные:  [[Мощные инновации часто сосредоточены на создании новых парадигм, а не на решении проблем текущего контекста]] 

!!!Ссылки

Чейз, У. Г. и Эрикссон, А. (1981). Квалифицированная память. В А. Эрикссон (ред.), Когнитивные навыки и их приобретение (стр. 141–189). Erlbaum. https://apps.dtic.mil/dtic/tr/fulltext/u2/a114635.pdf

Ericsson, A., & Pool, R. (2016).*Пик: Секреты новой науки об экспертизе*(1 издание). Имон Долан/Хоутон Миффлин Харкорт. [[Пик - Ericsson and Pool]]
Хорошее повествование структурирует и упорядочивает ключевые элементы сложной темы, сосредотачивая внимание участников на ограниченных подмножествах идей, чтобы они могли сделать каждый шаг. Это создает [[Когнитивный каркас]]. Справочная статья, которая может предоставлять ту же информацию без каких-либо оснований, может быть более эффективным кратким изложением темы для эксперта, но первый шаг ее понимания может оказаться слишком большим для новичка.

По мере развития повествования в нем выделяются связи между элементами, которые новичку может быть трудно заметить. Это также может напоминать участникам о соответствующих предшествующих материалах, на которые следует опираться. Такие виды поддержки позволяют участнику изначально сосредоточиться на материале объектного уровня, не упуская из виду общую картину. Со временем они найдут свои собственные связи, помимо тех, что указал автор.

Повествования подпитывают эмоциональную вовлеченность, предлагая интерпретацию, возможные последствия и связь с заинтересованным автором. Со временем участник может выстроить собственное эмоциональное вовлечение в тему, но может оказаться полезным и это.

См. также: [[Реализованный опыт усиливает силу повествования]].

[[Традиционные подсказки для интервального повторения - атомизированы]]. Каждая маленькая подсказка должна стоять сама по себе, быть презентабельной в любом порядке в любое время. Но это затрудняет использование подсказок для эффективной передачи идеи, которая сама по себе хорошо структурирована и упорядочена. На практике идеи обычно зависят от других идей, и эмоциональная значимость требует соотнесения этих идей с более широким целым (в отличие от [[Глубокое понимание требует (и является результатом) интенсивной личной связи]]). В этом отношении повествование превосходит его (нарратив как [[Когнитивный каркас]]).

Один важный вывод: [[Изучение подсказок для интервального повторения, созданных другим человеком,  обычно - неэффективно]] .

Это наблюдение является одним из основных мотивов мнемонической среды: [[Мнемоническая среда придает нормально-атомизированную структуру подсказкам для интервального повторения]].
Тонкая проблема написания подсказок заключается в том, что подсказка должна четко указывать на то, «что она ищет». Например, в этом приглашении отсутствует сегмент… что там должно быть?

Вопрос: В краткосрочной перспективе ... входы переменные.
Ответ: некоторые

Пробелы Cloze имеют тенденцию усугублять эту проблему, поскольку они должны использовать структуру синтаксиса, чтобы предложить форму ответа. (см. также [[Запросы на «заполнение пробела», кажется, дают меньше понимания, чем пары вопрос / ответ в системах памяти с интервальным повторением]])

Орион Дж. Андерсон :
::Опыт, который у меня был с множеством вопросов, заключался в том, что я читал вашу подсказку и не знал, какой ответ вы ожидаете. Тем не менее, у меня в голове была бы концепция или цитата из этого сегмента. Когда я щелкнул, чтобы открыть ответ, я увидел, что фраза, которую я вспомнил, действительно была ответом, который вы имели в виду, я просто не понимал, как и почему это был ответ.

Сорен Бьорнстад отмечает, что плохо написанные подсказки требуют, чтобы вы также запомнили, «что спрашивает».

Связано: [[Подсказки с интервалом повторения в памяти должны однозначно давать конкретный ответ]]
[[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]]. Самая простая подсказка приложения может включать только одну деталь из текста. Например, один может преобразовать декларативное приглашение `What’s the matrix representation of the X gate` в простом приложение подскажет? `What’s the output of the X gate applied to [0 1]?` Но может быть и более сложное приложение `What's the output of this circuit? [Picture of a circuit with |+> as input, passing through X`. Этот запрос требует одновременного использования нескольких деталей: простой обозначения схемы, определения `|+>` и определения `X`.

Такие подсказки можно представить себе как фрагмент мощного набора некоторого связанного набора деталей в мнемоническом эссе. Это примерно третья степень. Это было бы утомительно, но можно представить себе, как писать вопросы, которые будут представлять большую часть полного набора возможностей.

Эти подсказки будут во многом схожи с выводами, описанными в разделе [[Простые подсказки приложения могут быть представлены так же, как подсказки отзыва в мнемоническом носителе]], но взаимозаменяемость вариантов значительно затруднена. Этот тип вопросов, вероятно, выиграет от анализа графа знаний в стиле ITS, с использованием выводов, чтобы определить, какие детали особенно слабые.

Эти комбинированные подсказки могут со временем усложняться. Возможно, они появляются только после того, как читатель завершит второй уровень для всех вопросов в тексте. Это пример того, как [[Мнемоническая среда может быть адаптирована для создания опыта, который разворачивается во времени]].
[[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]]. Одна из проблем заключается в том, что написание таких подсказок намного сложнее, чем напоминаний.

Одна из причин заключается в том, что напоминания в основном перефразируют материал, который уже содержится в тексте, превращая декларативные утверждения в вопросы. Подсказки приложения по определению требуют построения некоторой ситуации, которой нет в тексте. Это требует некоторого творчества; одновременно авторы должны следить за тем, чтобы подсказки оставались простыми.

[[Запросы приложения должны изменяться при повторении]]. Создание этих вариантов обходится дорого, а [[Варианты подсказок приложения сложно автоматизировать]].
[[Запоминания с интервалом повторения обычно должны фокусироваться на одной атомарной единице]] и лучше, чтобы они были краткими.

"""
Например, Возняк (1999) приводит следующий пример улучшения подсказки:
(до)
Q: Альдус изобрел настольную издательскую систему в 1985 году с помощью PageMaker. В течение многих лет у Альдуса было мало конкурентов, поэтому он не смог улучшить его. Затем Денвер… пролетел мимо. PageMaker, теперь принадлежащий Adobe, остается № 2
A: Quark

(после)
Q: PageMaker уступил место…
A. Quark
""""

Одна из основных причин этого заключается в том, что он поддерживает легкий, плавный ритм во время обзорных сессий. «Тяжелые» вопросы могут затруднить концентрацию, но, возможно, что более важно, они могут способствовать тому, что сеансы повторения будут казаться рутинными: [[Важнейшим моментом для оптимизации систем памяти с интервальным повторением является эмоциональная связь с сеансом обзора и его содержанием]].

Я пока не понимаю как, но краткие формулировки часто помогают мне запоминать ответы с меньшим количеством повторений. Это может быть связано с тем, что длинные вопросы затрудняют сосредоточение внимания на наиболее важных деталях поиска. Или, может быть, это просто потому, что длинные вопросы снижают мою концентрацию.

По мере того, как приглашение становится длиннее, возрастает вероятность того, что оно будет включать слово или текстуру, которые вызовут ответ, но без значимой связи с ответом («сопоставление с образцом»): [[Запросы памяти с интервалом повторения должны быть написаны, чтобы препятствовать поверхностному «сопоставлению с образцом»]].

!!!References

Wozniak, P. (1999, February). Effective learning: Twenty rules of formulating knowledge. https://www.supermemo.com/en/archives1990-2015/articles/20rules
Карточки, как и карточки [[§Система интервального повторения]], пользуются заслуженно плохой репутацией отчасти потому, что напоминают людям о механическом обучении в школе. Люди помнят, что их заставляли запоминать отдельные факты, такие как названия различных категорий облаков, и они помнят, как повторяли эти ответы, не добившись какого-либо прочного понимания. Отчасти проблема заключается в том, что [[Цели обучения часто подрывают себя]]: вы, вероятно, действительно не заботились об изучении этого материала. Но помимо этой проблемы, эти изолированные упражнения особенно хрупкие, потому что они развивают знания, которые могут быть использованы только в одном контексте, без связи с более широкими концептуальными рамками и пониманиями: [[Богатое понимание - это связь]].

Эффективные интервалы повторения подсказок для запоминания подкрепляют идею, получая доступ к ней с разных сторон. Например, помимо демонстрации фотографии кучево-дождевого облака и вопроса о его типе, вы также можете подкрепить эти знания следующими связанными вопросами:

* ''Причины'': Какие условия необходимы для образования кучево-дождевого облака?
* ''Пояснения'': Что делает верхушку кучево-дождевого облака плоской?
* ''Создайте пример'': визуализируйте кучево-дождевое облако.
* Связанный особый случай: [[Подсказки с интервалом повторения в памяти должны связывать и связывать идеи]].
** ''Сравнение'': Какие ключевые особенности отличают кучево-дождевое облако от кучевого облака?
* ''Значение / эффекты / «ну и что?»'': Какой тип погоды обычно создает кучево-дождевое облако на уровне земли?

!!!References

Nielsen, M. (2019, January). [[Using spaced repetition systems to see through a piece of mathematics|http://cognitivemedium.com/srs-mathematics]]

::Люди, не имеющие опыта в математике, иногда запоминают доказательства в виде линейных списков утверждений. Более удобный способ представить доказательства как взаимосвязанные сети простых наблюдений. Вещи редко бывают правдой только по одной причине; поиск нескольких объяснений вещей дает вам лучшее понимание. В некотором смысле это «неэффективно», но это также способ углубить понимание и улучшить интуицию. Вы строите сеть доказательств, устанавливая больше связей между узлами.
При написании подсказок для [[§Система интервального повторения]] легко случайно написать вопрос, на который есть правильные ответы помимо того, который вы намереваетесь. Вы должны включить достаточно контекста, чтобы разумные альтернативные ответы были явно неправильными, но не включайте столько контекста, чтобы вы нарушили краткость ([[Подсказки с интервалом повторения в памяти должны быть краткими]]) или поощрять сопоставление с образцом ([[Запросы памяти с интервалом повторения должны быть написаны, чтобы препятствовать поверхностному «сопоставлению с образцом»]]).

Например, если вы только что прочитали рецепт приготовления омлета, может показаться естественным спросить: «Каков первый шаг, чтобы приготовить омлет?» Ответ может показаться очевидным по сравнению с рецептом, который вы только что прочитали: первый шаг - это «разогреть масло на сковороде»! Но через полгода, когда вы вернетесь к этому вопросу, есть много разумных ответов: взбивать яйца; разогреть на сковороде сливочное масло; грибы фарш для начинки; и т.п.

Одно из решений - придать вопросу чрезвычайно конкретный контекст: «Что является первым шагом в рецепте омлета Bon Appetit Jun '18?» Но такая постановка предполагает, что знания гораздо более провинциальны, чем они есть на самом деле. По возможности, общие знания следует выражать в общих чертах, если можно избежать двусмысленности. Это может означать поиск другой точки зрения на вопрос; например: «При приготовлении омлета, как нужно готовить сковороду перед добавлением яиц?»

[[Сорен Бьорнстад]] [[отмечает|https://controlaltbackspace.org/memory/designing-precise-cards/#questions-should-be-context-free]] отмечает, что подсказка, которая не исключает альтернативных правильных ответов, требует, чтобы вы также запомнили, «что спрашивает подсказка».

Этот принцип не применяется к подсказкам с интервальным повторением, не связанным с памятью, которые часто явно предназначены для получения разных ответов каждый раз: [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]].

"""

Q. В чем проблема с подсказкой SRS «Что нужно сделать в первую очередь для приготовления омлета?»
А. Есть много разумных ответов на этот вопрос.

Запросы SRS, ориентированные на память, должны однозначно исключать {альтернативные правильные} ответы.
"""
При использовании [[§Система интервального повторения]] для изучения фактов, наивный подход приводит к изучению множества фактов изолированно: названия белка, даты события, размера физической константы. Но поскольку [[Богатое понимание - это связь]], лучше связать эти факты с другими идеями. Это не только поможет вам запоминать более надежно (благодаря [[Детальное кодирование]]), но и поможет вам развить более глубокое понимание, выходящее за рамки простых фактов.

Майкл приводит этот хороший пример в книге «Улучшение долговременной памяти»:

::Например, можно попытаться вспомнить как единичный факт, что 1962 год был годом вывода на орбиту первого телекоммуникационного спутника Telstar. Но лучший способ запомнить это - рассказать об этом другим. Относительно прозаично, можно заметить, что Telstar был запущен всего через 5 лет после первого советского спутника Sputnik. На то, чтобы использовать пространство для телекоммуникаций, не потребовалось много времени. Менее прозаично - более богатая разработка - я лично нахожу увлекательным, что Telstar был выведен на орбиту за год до введения ASCII, возможно, первого современного цифрового стандарта для передачи текста. У человечества был телекоммуникационный спутник до того, как появился цифровой стандарт передачи текста! Обнаружение такого рода связи - пример сложного кодирования.

Связано: [[Вечнозеленые заметки должны быть тесно связаны]].

Чарли Мангер:

::«Что ж, первое правило состоит в том, что вы ничего не можете знать, если просто запомните отдельные факты и попытаетесь их отбросить. Если факты не держатся вместе на решетке теории, вы их не получите. удобная форма. У вас в голове должны быть модели. И вы должны сосредоточить свой опыт как косвенно, так и непосредственно на этой решетке моделей. Возможно, вы заметили учеников, которые просто пытаются вспомнить и отбросить то, что вспоминают. Что ж, они терпят неудачу в школе и в жизни». https://www.youtube.com/watch?v=5U0TE4oqj24

!!!References

Nielsen, M. (2018). Augmenting Long-term Memory. http://augmentingcognition.com/ltm.html
Остерегайтесь предвзятых представлений [[Думайте самостоятельно]].

* Более быстрое выполнение работ за счет использования уже имеющихся работ
** [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]]
** [[Создавайте спекулятивные контуры во время написания заметки]]
** [[Исполняемая стратегия письма]]

* Эпистемология :todo изучить понятие:, оригинальность
** [[Используйте заметки, чтобы избежать предвзятых выводов]]
** [[Скачки в понимании возникают из предыдущих мыслей]] 
** [[Мозговой штурм часто может заменить недостающие системы накопления insights]]
** [[Предпочитайте ассоциативные онтологии иерархическим таксономиям]]
** [[Вечнозеленые заметки - безопасное место для развития безумных идей]] 
	
!!!Мораль:
* реагировать на подлинный интерес и мысли, вместо того, чтобы думать: ** «Я должен написать об Икс»
** больше нет того «о чем мне написать?»

[[[Let ideas and beliefs emerge organically]|https://notes.andymatuschak.org/z5uSCvx3W2GdzBVhWAAXrrCcykJ8SHimdJzg7]]
::TODO - прочитать [Как думать самостоятельно](http://paulgraham.com/think.html)::

Пол Грэм утверждает, что есть три ключевых компонента:

# привередливость к правде
# независимость
# любопытство

Несколько институциональных петель обратной связи для независимого мышления в подростковом возрасте:

К тому времени, когда они достигают совершеннолетия, большинство людей примерно знают, насколько они умны ... потому что их постоянно тестируют и оценивают в соответствии с ними. Но школы обычно игнорируют независимость ... Таким образом, мы не получаем ничего похожего на отзывы о том, насколько мы независимы.

Очень важно, кем вы себя окружаете. Если вас окружают обычные люди, это ограничит ваши идеи, которые вы можете выразить, а это, в свою очередь, ограничит ваши идеи. Но если вы окружите себя людьми с независимым складом ума, вы испытаете противоположный опыт: услышите, как другие говорят удивительные вещи, это побудит вас думать и думать о большем.

[[Быть любопытным]]  в рациональной гигиене:

Когда вы слышите, что кто-то что-то говорит, остановитесь и спросите себя: «Это правда?» ... Конечная цель не в том, чтобы найти недостатки в том, что вам говорят, а в том, чтобы найти новые идеи, которые были скрыты ошибочными. Так что эта игра должна быть увлекательным поиском новинок, а не скучным протоколом интеллектуальной гигиены.

[[Формулируйте вопросы поиска истины в терминах «до какой степени?» и «в каком смысле?» а не в бинарной логике "да/нет"]].
Если вы хотите по-настоящему понять идею, вам нужно с ней бороться.

Вы не можете просто прочитать что-то, послушать лекцию или услышать какое-то понятие в разговоре. Вы должны задаться вопросом: где это применимо, а где нет? Какие последствия? Какие предположения? Чье мнение здесь представлено? Что это опровергает? и т.п.
#ЗПП-думание

Как примечательно говорит Стивен Косслин:
Первая максима - «Продумайте это». Ключевая идея очень проста: чем больше вы что-то обдумываете, обращая внимание на то, что делаете, тем больше вероятность, что вы это запомните.

Это понятие является основной идеей #e/конструктивизма, и именно поэтому трансмиссионизм не работает.

И Шопенгауэр:
Когда мы читаем, за нас думает другой человек: мы просто повторяем его мыслительный процесс. … Ибо чем больше человек читает, тем меньше остается следов прочитанного; ум подобен табличке, которую переписывают снова и снова. Следовательно, невозможно размышлять; и только размышлением можно усвоить прочитанное, если читать прямо вперед, не размышляя над этим позже, то, что было прочитано, не укореняется, а по большей части теряется. Действительно, с душевной пищей то же самое, что и с телесной пищей: едва ли пятая часть того, что человек принимает, усваивается; остаток уходит при испарении, дыхании и т.п.

Грант Сандерсон (28.11.2019):
Вы должны смотреть в глаза идее.

!!!References
Kosslyn, S. M. (2017). The Science of Learning: Mechanisms and Principles. In S. M. Kosslyn & B. Nelson (Eds.), *Building the Intentional University: Minerva and the Future of Higher Education* (1 edition, pp. 149–164). Cambridge, MA: The MIT Press.

Schopenhauer, A. (2015). On reading and books. In C. Janaway (Ed.), & A. Del Caro (Trans.), *Parerga and Paralipomena: Short Philosophical Essays* (Vol. 2).  [https://doi.org/10.1017/CBO9781139016889](https://doi.org/10.1017/CBO9781139016889)  (Original work published 1851)
В опросе Pew 2018 года большинство респондентов читают только печатные книги. Около 3/4 респондентов читали какие-либо книги в прошлом году; только 1/4 читала электронные книги за последний год. Тенденция плоско-нисходящая. Но количество аудиокниг растет.

Возможная причина: [[Читать тексты на компьютере неприятно]].

!!!References

[[Pew Research Center. (2019). 2019 survey on book reading formats. Retrieved from|https://www.pewresearch.org/wp-content/uploads/2019/09/FT_19.09.25_BookReadingFormats_Methodology_Topline.pdf]]
Даже если вы стремитесь писать [[Вечнозеленые заметки]], большинство заметок начинаются как временные заметки.  Вы должны уметь фиксировать мысли без трения ([[Закрыть открытые петли]]), а затем надежно превращать их в вечнозеленые заметки с течением времени ([[Знания должны срастаться]]).

Это подразумевает два важных механизма:

# быстрый способ захвата переходных нот, который четко изолирует их от вечнозеленых нот;
# место для заметок, которые вы хотите развивать дальше, и практика, которая надежно истощает его ([[Ящики входящих работают только в том случае, если вы доверяете тому, как они очищаются.]])

Для этого я использую «почтовый ящик». Непроработанные идеи, выдержки из моего [[Журнал ежедневной работы]], заметки из чтения, однострочные подсказки и т. д. - все начинается в этой очереди. Во время [[Моя утренняя практика письма]] я просматриваю заметки в этом почтовом ящике и трачу время на их разработку. В большинстве дней я трачу большую часть своего писательского времени на это.

Находясь за компьютером, я записываю заметки прямо в свой почтовый ящик. Я также «подкармливаю» его идеями из моего  [[Карманный блокнот для записи в почтовый ящик во время недоступности компьютера]]

!!!References
[[Building Blocks of a Zettelkasten • Zettelkasten Method|https://zettelkasten.de/posts/zettelkasten-building-blocks/]]
Чтобы избежать распространения вкладок браузера, вызывающих тревогу, и ужасающей папки PDF-файлов, важно иметь автоматическую процедуру захвата ссылок на показания, которые могут оказаться полезными.

После захвата каждый элемент в папке «Входящие»:

# оказывается в мусоре (не похоже, что его вообще стоит подробно читать)
# читается всерьез (т.е. [[Пишите о том, что вы читаете]])
# читается неглубоко и помещается в справочную библиотеку
(возможно) добавляется в какой-то другой список, например «рецепты для приготовления»
# (возможно) добавляется в какой-то другой список, например, «рецепты, которые нужно приготовить»

Важно отметить, что это не список «может быть, когда-нибудь». Он не накапливается бесконечно, потому что тогда это не был бы надежный способ [[Закрыть открытые петли]].

Итак, при создании почтового ящика для чтения необходимо учитывать следующее:
# захват с нулевым трением для книг, статей, веб-страниц (чтобы легко закрыть этот цикл)
# нулевое трение для просмотра чтения, соответствующего элементу почтового ящика
# беспрепятственный листинг по типу элемента
# почтовый ящик должен поощрять удаление устаревших элементов (например, это должно быть очевидно, если один из них был передан много раз)

Интересно, что ни одна существующая система «читать позже» или справочного управления не соответствует этим критериям. Они обычно изолированы по типу контента, и ни один из них не поощряет удаление затяжных элементов. См. также:  [[Остерегайтесь автоматического импорта в ящик входящих для чтения]].

Почтовый ящик для чтения является важным клапаном для вещей, с которыми я сталкиваюсь на смартфоне (см. раздел  [[Используйте телефоны для сбора и сортировки, а не (обычно) для чтения]].
Похожее:  [[Поэтапное чтение]] 
https://notes.andymatuschak.org/z2gZooHVxB8x6EbDSR97Bz1jFMqAqSWSLPnMs
Если вы практикуетесь в исполнении музыкального произведения или решаете сложные математические задачи, вы можете представить, что улучшение соответствует более глубокому кодированию соответствующих знаний - моторных, концептуальных и т. Д. Но, по крайней мере, в некоторых областях кажется, что практика не просто помогает вам учиться. когнитивный навык: он также может {расширить ваши возможности для этого навыка} за счет { физического увеличения связанных областей мозга }. Это может быть частью того, почему [[Физические и когнитивные способности человека можно удивительно значительно расширить с практикой]].

Эрикссон и Пул (2016) резюмируют этот эффект следующим образом: «при осознанной практике… цель - не просто реализовать свой потенциал, но и развить его». (стр.48)

"""
В. С осознанной практикой ... цель не просто _ _ ваш потенциал, но _ _ .
А. досягаемость; построить это
"""

!!!Примеры
{Гасер и Шалуг} ({2003}) обнаружили, что у профессиональных пианистов {значительно больше серого вещества в моторных, слуховых и зрительно-пространственных областях брайана}, чем у пианистов-любителей.

{Aydin et al} ({2007}) обнаружили, что у математиков было {значительно больше серого вещества в левой нижней лобной и двусторонней нижней теменной долях} по сравнению с контрольной группой. Эти области связаны с {арифметической обработкой}. А плотность {правой нижней теменной доли} коррелировала с {многолетним опытом} (r = 0,84). Нижние теменные области связаны с {зрительно-пространственными образами}.

{Hutchinson et al} ({2003}) обнаружили, что объем мозжечка {мужчин} музыкантов {коррелирует с количеством часов их тренировок}. Странно, что этот эффект обнаружили только у мужчин, но, как ни странно, у женщин нет разницы? Это был настоящий эффект: r = 0,595, P = 0,001. По-видимому, у женщин просто больший объем базового мозжечка, что, по их мнению, может маскировать эффект.

!!!Зависит ли эта пластичность от возраста?
{Bengtsson et al} ({2005}) изучили структуру белого вещества {профессиональных пианистов} и обнаружили связь между {детскими тренировками}, в частности, и повышенной плотностью белого вещества в трактах {мозолистого тела}, связанной с {двигательной согласование}. Они предполагают, что восприимчивость к этим изменениям может быть намного выше в детстве, потому что {соответствующие участки белого вещества к тому времени еще не созрели}.

!!!Это соперник пластичности?
Эрикссон и Пул (2016, стр. 45-46) утверждают, что такого рода расширение может быть конкурентом , ссылаясь на одно исследование, в котором лондонские таксисты хуже справляются с задачами пространственной памяти

---

!!!References

Aydin, K., Ucar, A., Oguz, K. K., Okur, O. O., Agayev, A., Unal, Z., Yilmaz, S., & Ozturk, C. (2007). Increased Gray Matter Density in the Parietal Cortex of Mathematicians: A Voxel-Based Morphometry Study. American Journal of Neuroradiology, 28(10), 1859–1864. https://doi.org/10.3174/ajnr.A0696

Bengtsson, S. L., Nagy, Z., Skare, S., Forsman, L., Forssberg, H., & Ullén, F. (2005). Extensive piano practicing has regionally specific effects on white matter development. Nature Neuroscience, 8(9), 1148–1150.

Ericsson, A., & Pool, R. (2016). Peak: Secrets from the New Science of Expertise (1 edition). Eamon Dolan/Houghton Mifflin Harcourt. Peak - Ericsson and Pool

Gaser, C., & Schlaug, G. (2003). Brain Structures Differ between Musicians and Non-Musicians. Journal of Neuroscience, 23(27), 9240–9245. https://doi.org/10.1523/JNEUROSCI.23-27-09240.2003

Hutchinson, S., Lee, L. H.-L., Gaab, N., & Schlaug, G. (2003). Cerebellar volume of musicians. Cerebral Cortex (New York, N.Y.: 1991), 13(9), 943–949. https://doi.org/10.1093/cercor/13.9.943



[[Знания должны срастаться]], но [[Большинство людей делают только временные заметки]].
Отчасти потому [[Неэффективная практика написания заметок дает слабую обратную связь]], люди даже не замечают, насколько они неэффективны. Они развивают определенный базовый уровень навыков написания заметок и в основном остаются там ([[Люди обычно развивают навыки до плато, а затем останавливаются]]). Производительность экспертов не определена четко, поэтому не очевидно, что люди работают плохо ([[Важность улучшения способствует развитию навыков]]). Все это также относится и к другим основным навыкам работы с знаниями:  [[Основные практики в работе с знаниями часто являются ad-hoc]]) .
Многое из того, что написано о попытке улучшить эту практику, ошибочно: [[«Лучшее ведение заметок» упускает суть; важно «лучшее мышление»]].
 
Напротив: [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]].
Для изобретения новых очень мощных систем, по-видимому, требуется как опыт системного проектирования, так и предметная экспертиза (см. [[Insight через создание]] и [[Изобретение индо-арабских цифр требует как гения дизайна, так и гения математики]]).

Поскольку профильные эксперты обычно не обладают навыками проектирования систем у дизайнеров, при типичном подходе дизайнеры помогают многим экспертам в предметной области, вычерчивая их идеи и итеративно синтезируя их в систему. Это центральная практика «дизайн-мышления» а-ля IDEO.

Но это, кажется, фундаментально ограничивает область, в которой может быть произведено понимание, за исключением тех, которые требуют глубоких знаний в предметной области. Дизайнер может синтезировать и создавать видение только в той степени, в которой они могут понимать основной предмет, с помощью своих бесед с экспертами в предметной области. Хуже того: создание сложной системы в предметной области может потребовать множества итераций, и понимание каждой итерации может потребовать предметных знаний для восприятия и включения в систему.

При более активном подходе дизайнер выступает не только в роли фасилитатора, но и в роли оркестратора, который как можно глубже занимается предметом обсуждения. Это подход, пропагандируемый [[Пендлтон-Джуллианом и Брауном, Design Unbound]]. Это кажется лучше - возможно, во многих случаях достаточно хорошо - но это не снимает фундаментального ограничения, описанного выше. В конце концов, [[Великая творческая работа обычно является продуктом одного человека]]. Если дизайнер действует как оркестратор и синтезатор, глубокий творческий скачок должен исходить из его разума - в этом смысле они «действуют как лидеры». (Пендлтон-Джуллиан и Браун, 2018. стр. 133). Таким образом, область понимания все еще ограничена степенью их понимания предмета.

---

!!!References

Pendleton-Jullian, A. M., & Brown, J. S. (2018). Design Unbound (Vol. 1–2). MIT Press. Pendleton-Jullian and Brown, Design Unbound

Matuschak, A., & Nielsen, M. (2019 0). How can we develop transformative tools for thought? https://numinous.productions/ttft
[[Quantum Country]] - это специально созданный веб-сайт; механика глубоко запуталась в презентации эссе. Но основные взаимодействия [[Мнемоническая среда]] достаточно разделимы, чтобы можно было позволить встраивать эти взаимодействия в любую веб-страницу с помощью простого HTML.

Это основной компонент моего видения [[Система интервального повторения на уровне ОС]].


!!!Веб-компоненты

Мы можем определить спецификацию для мнемонических подсказок с помощью новых тегов HTML (например <card>). Затем мы предоставляем библиотеку Javascript (вероятно, с открытым исходным кодом), которая при добавлении на страницу «гидратирует» эти компоненты, заменяя их узлами DOM во время выполнения. Такие [[веб-компоненты|https://www.webcomponents.org/]] теперь хорошо поддерживаются во всех современных браузерах, кроме Edge, и, похоже, для этого существует полифилл.

Это не обязательно привязывает издателя к определенному серверу для хранения состояния пользователя: наша клиентская библиотека может предлагать различные конечные точки сервера по мере их появления, включая постоянное хранилище, управляемое клиентом (без учетных записей!).

Этот подход является гибким: вы можете поменять нашу клиентскую библиотеку на другую, которая поддерживает ту же спецификацию веб-компонентов; в будущем он может быть расширен на другие серверы; область применения этой библиотеки JS может быть расширена за счет включения других функций. Издатели могут сами размещать JS или обслуживать его из контролируемой нами CDN. Если JS отключен или скрипт не может быть загружен, карточки просто не будут. Вы даже можете определить стили печати для таких тегов.

Этот подход действительно требует изрядной абстракции. Если бы мы захотели существенно изменить протокол, спецификацию или формат состояния, у нас, скорее всего, возникли бы проблемы с совместимостью.

Возможно, что более важно, этот подход требует, чтобы автор / издатель осмысленно создавал HTML. Это может быть сложно интегрировать в рабочие процессы, например, экспорт HTML из исходных документов InDesign. Если HTML-документ не является «источником истины», теги карточек будут стираться всякий раз, когда автор реэкспортирует из своего исходного документа.

Мы, вероятно, все еще захотим создавать плагины для таких платформ, как Wordpress, с этим подходом.

!!!Значительные препятствия для аутентификации пользователей в сторонних контекстах

После того, как пользователь вошел в систему, он должен иметь возможность накапливать подсказки в Интернете без необходимости входить в систему на каждом сайте. Этого сложно добиться!

Сайт хостинга не может записать cookie, который будет доступен для чтения любыми другими потенциальными сайтами хостинга: cookie заблокированы по происхождению.

Мы можем встроить механизм аутентификации в iframe, размещенный в согласованном источнике, но это будут «сторонние файлы cookie». За последние пару лет браузеры, особенно Safari, начали агрессивно блокировать сторонние файлы cookie, поскольку они повсеместно используются для отслеживания и рекламы, нарушающих конфиденциальность.

В общем, любой механизм, который позволит этим встроенным подсказкам обмениваться учетными данными для аутентификации, также позволит нам отслеживать этого пользователя в целях нарушения конфиденциальности. Таким образом, мы постоянно находимся под перекрестным огнем этих функций безопасности браузера. Chrome и Edge будут «просто работать», по крайней мере, в ближайшие пару лет, а Safari и Firefox - нет. Edge отмечен как «реализующий» API доступа к хранилищу.

Apple и Mozilla создали API доступа к хранилищу, который позволяет стороннему контенту запрашивать доступ к его сохраненным учетным данным в этом контексте. В Safari это звучит так, как будто это всегда требует отображения запроса на утверждение. Фу. И: Safari может по- прежнему разрешать установку cookie в этом контексте только в том случае, если пользователь уже взаимодействовал с сайтом в собственном контексте! Вау, жестоко. Скорее всего, нужно будет предложить расширение Safari, чтобы сделать Safari разумным.

Похоже, что Safari по крайней мере добавляет API, чтобы позволить этим контекстам определять, вошел ли пользователь в систему. Набор изменений 250944 - WebKit.

!!!Разбор и замена текстовых блоков

Некоторые рабочие процессы не позволяют пользователям добавлять произвольные HTML-теги. Например, предположим, что они создают сайт с помощью специального программного обеспечения для ведения блогов, которое предлагает только WYSIWYG.

В этих случаях, предполагая, что внедрение сценария все еще возможно, мы могли бы разрешить авторам добавлять вопросы аналогично [[Моя реализация персонального мнемонического носителя]] в виде открытого текста, анализируемого и извлекаемого сценарием во время выполнения.
«Сознательная практика» (Ericsson et al, 1993) описывает:

требующие больших усилий, высокомотивационные занятия…
… С конкретной целью повышения производительности
[[Типичная рабочая и производственная среда не является преднамеренной практикой]]
...Которые тщательно разработаны (и постоянно обновляются) для этой цели
[[Опытные тренеры способствуют эффективной осознанной практике]]

* Преднамеренная практика обычно не считается приятной; это способствует повышению их эффективности, а не мотивирует их.
* Поскольку осознанная практика требует больших усилий, студенты могут заниматься только ограниченное время каждый день, и им нужна возможность полностью восстановиться на регулярной основе.
* требует разборчивости для ученика: он должен видеть свой прогресс

Осознанная практика носит постепенный характер: «Осознанная практика почти всегда включает в себя создание или изменение ранее приобретенных навыков, сосредоточивая внимание на определенных аспектах этих навыков и работая над их конкретным совершенствованием; со временем это поэтапное улучшение в конечном итоге приведет к повышению квалификации специалистов ». (Эрикссон и Пул, 2016, с. 100)

!!!References

"""
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363. Ericsson et al - The Role of Deliberate Practice in the Acquisition of Expert Performance

Ericsson, A., & Pool, R. (2016). Peak: Secrets from the New Science of Expertise (1 edition). Eamon Dolan/Houghton Mifflin Harcourt. [[Пик - Ericsson and Pool]]
"""
Пусть структура появится органически (organically). Когда она навязывается с самого начала, вы преждевременно ограничиваете то, что может возникнуть, и искусственно сужаете нюансы отношений между идеями.

Наши файловые системы, организационные структуры и библиотеки предполагают, что иерархические категории являются естественной структурой мира. Но это не так! И элементы относятся к другим элементам в очень разных иерархических категориях, часто одновременно.

Хуже того, что предварительно сортируя вещи по четко определенным категориям, мы обязательно размываем их края. И тогда нам кажется, что не совпадают друг с другом. Может быть, как только будет собрано достаточно новых идей, появится новая категория… за исключением того, что вы не можете увидеть ее форму, потому что все уже отсортировано. А поскольку все уже отсортировано, дальнейшая сортировка требует отмены существующей структуры.

Лучше позволить сетям связанных идей возникать постепенно, без ярлыков: [[Позвольте идеям и убеждениям возникать органически]]. Как только вы увидите фигуру, вы сможете подумать о ее характере. Это одна из причин, почему [[Вечнозеленые заметки - безопасное место для развития безумных идей]].

Но будьте осторожны: [[Теги - неэффективная ассоциативная структура]].

Одно из последствий следования этому совету: [[Трудно перейти к несвязанным «соседям» в ассоциативных системах заметок]].

!!! References
Bush, Vannevar. “As We May Think.” Atlantic Monthly, July 1945.

Наша неспособность в установлении рекордов во многом вызвана искусственностью систем индексации. Когда данные любого вида помещаются в хранилище, они располагаются в алфавитном или числовом порядке, а информация (когда она есть) обнаруживается путем отслеживания ее от подкласса к подклассу. Он может быть только в одном месте, если не используются дубликаты; нужно иметь правила относительно того, по какому пути он будет находиться, и эти правила громоздки. Более того, найдя один предмет, нужно выйти из системы и снова вступить на новый путь. ***Человеческий разум так не работает. Работает по ассоциации***. Обладая одним предметом, он мгновенно переходит к следующему, на что указывает ассоциация мыслей в соответствии с какой-то сложной паутиной следов, проводимых клетками мозга.
[[Почему категории для вашего архива заметок - плохая идея * Метод Zettelkasten|https://zettelkasten.de/posts/no-categories/]]

Тематические кластеры возникают сами по себе, особенно вокруг ключевых слов или тегов. Полученный архив соответствует тому, что вы думаете, потому что он увеличивался в соответствии с вашими интересами. Кроме того, вещи обозначены особым образом значимым для вас, а не для кого-либо еще. Это все об управлении личной информацией, поэтому персонализация является обязательной, а растущая индивидуальная непереносимость, вероятно, улучшит ситуацию.

Аренс, С. (2017). Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и авторов документальных книг.

В старой системе вопрос: в какой теме хранить эту заметку? В новой системе возникает вопрос: в каком контексте я захочу снова наткнуться на нее?
При написании  [[Вечнозеленые заметки]] я обнаружил, что использование полных фраз в качестве заголовков заметок помогает поддерживать концептуальную ориентацию ( [[Вечнозеленые заметки должны быть концептуальными]]. Например:  [[Цели обучения часто подрывают себя]] ,  [[Вечнозеленые заметки позволяют плавно прогрессировать в письменной форме («инкрементное письмо»)]] 

Часто это декларативные или императивные фразы, делающие сильные утверждения. Это заставляет меня адекватно поддерживать утверждение в теле заметки. Если я пишу заметку, но изо всех сил пытаюсь резюмировать её в чётком названии, это часто является признаком того, что мои мысли нечёткие или что эта заметка касается нескольких тем ((в отличие от  [[Вечнозеленые заметки должны быть атомарными]]). В обоих случаях решение состоит в том, чтобы сначала разбить идеи на части и написать о том, что я понимаю лучше всего.

Вопросы также являются хорошими заголовками для заметок, потому что такая позиция создает давление, заставляя вопрос доходить до сути вопроса. Некоторые вопросы действительно вечнозеленые ([[В какой степени наследуются исключительные способности?]]); другие - более эфемерные творческие подсказки ( [[Как мнемоническая среда может помочь читателям в жанрах, не связанных с платформой?]]). Цель последнего типа примечаний - в конечном итоге избавиться от знака вопроса, преобразовав его в декларативные / императивные примечания.

Несколько распространенных исключений из этой политики:

* Я использую существительные и словосочетания в названиях заметок только для определения основных терминов (вокруг которых обычно вращаются другие заметки). Примеры: [[Исполняемая стратегия письма]],  [[Реализованный опыт]],  [[Благоприятная (стимулирующая) среда]]
* Примеры: [[Исполняемая стратегия письма]],  [[Реализованный опыт]],  [[Благоприятная (стимулирующая) среда]]
* Для получения дополнительной информации [[Таксономия (cистематика) типов заметок]]

Я часто начинаю с написания заметки, не зная, каким будет заголовок. Заголовок часто появляется из текста в том виде, в котором он написан. Когда в заметке предлагается сильное название с четким утверждением, это хороший знак, что оно начинает обретать смысл. Связано:  [[Заголовки вечнозеленых заметок похожи на API]]
При написании [[Вечнозеленые заметки]] заманчиво писать такие заметки, как «X — это плохо» или «Y не работает». Вместо этого предпочитать писать заголовки заметок, которые выражают свойство или требование в положительном смысле.

Если вы их продумали, негативно ориентированные заметки обычно содержат описательную теорию того, почему недостающее / ошибочное свойство важно. Выдвигая эту теорию на передний план, вы упрощаете рассмотрение заявлений в систематическом контексте, что, в свою очередь, упрощает дальнейшее развитие.

!!!Например:

* [[Метакогнитивная поддержка требует совместной динамической среды]], а не «пассивные среды не могут предложить хорошую метакогнитивную поддержку»
*  [[Используйте телефоны для сбора и сортировки, а не (обычно) для чтения]], а не для «Не читайте на телефоне»
Края, связывающие узлы в информационных системах (например, [[Вечнозеленые заметки должны быть тесно связаны]]) сами должны быть помечены каким-то образом, который контекстуализирует ассоциацию. Часто недостаточно сказать «X связан с Y»: лучше сказать «X более подробно рассказывает о Y в контексте Z».
Дополнительный контекст будет подсказкой для вашей памяти или оценки связанного материала, что поможет вам эффективно ориентироваться в графе знаний и отследить ваши прежние мыслительные процессы.
Края, связывающие узлы в информационных системах (например, [[Вечнозеленые заметки должны быть тесно связаны]]) сами должны быть помечены каким-то образом, который контекстуализирует ассоциацию. Часто недостаточно сказать «X связан с Y»: лучше сказать «X более подробно рассказывает о Y в контексте Z».
Дополнительный контекст будет подсказкой для вашей памяти или оценки связанного материала, что поможет вам эффективно ориентироваться в графе знаний и отследить ваши прежние мыслительные процессы.
Статью перенес в Bear


https://www.nature.com/articles/d41586-021-00592-0?utm_source=twitter&utm_medium=social&utm_content=organic&utm_campaign=NGMT_USG_JC01_GL_Nature

При чтении обычных книг (особенно во время [[Инспекционное чтение]]) опытный читатель, естественно, сохраняет свою позицию чтения одновременно в нескольких разделах книги. ? Например, это может быть операция «стека» (сохранение своего места при обращении к другому), операция «собачьего уха» (накопление набора мест, на которых нужно сосредоточиться; см. Askwall) или операция параллельного чтения (сравнение нескольких отрывки). Цифровые считыватели очень усложняют эту операцию.

Поскольку экраны часто больше, чем физические книги, для управления этим можно использовать несколько окон, но [[Параллельное чтение в цифровом чтении в большинстве случаев невозможно]]. Даже в настольных операционных системах большинство приложений для цифрового чтения не позволяют даже открыть второе окно для просмотра того же документа. Это ограничение усугубляется проблемами, описанными в разделе [[Низкая производительность приводит к нарушению нелинейного чтения при цифровом считывании]].

В качестве альтернативы можно использовать закладки или явную внутрисистемную структуру для управления местоположениями чтения. Но закладки для цифровых ридеров - когда они есть - всегда слишком тяжелые.

[[LiquidText]] - единственное исключение: он использует мультитач для создания специальных закладок и предоставляет основу , на которой можно накапливать все более надежные ссылки.

Amazon Kindle имеет простой стек однонаправленной навигации для ограниченного набора операций, таких как переход к сноске или к месту в оглавлении. Это помогает, но только в небольшом подмножестве случаев.

!!!References

[[Askwall, S. (1985). Computer supported reading vs reading text on paper: A comparison of two reading situations. International Journal of Man-Machine Studies, 22(4), 425–439.|https://doi.org/10.1016/S0020-7373(85)80048-1]]
Когда я сажусь медитировать с помощью  [[Приложения для медитации с гидом]], я не думаю о себе как о «занятии урока» или даже действительно «получении инструкции». Я сажусь *медитировать*. Но на самом деле эти занятия являются уроками, и я получаю обучение. Я использую приложение для руководства сеансом медитации. Эти приложения, как правило, открывают сеанс каждый день кратким уроком, который описывает дневную практику. Затем на протяжении всего сеанса учитель будет предлагать периодические указатели, относящиеся к теме этого дня. После занятия урок часто заканчивается несколькими прощальными предложениями.
Этот опыт ставит акцент на саму деятельность, а не на урок, который проводится периферийно. Сравните это с опытом прохождения урока по клеточной биологии. В типичном классе урок является основным направлением, а деятельность (например, структурированная лаборатория) явно является как вторичной, так и подчиняется содержанию урока. Когда вы приходите на ежедневную медитацию, вы думаете: «Я собираюсь медитировать», но когда вы приходите в лаборатории структурированной клеточной биологии, вы не думаете, что «Я собираюсь исследовать клеточную биологию» — вы думаете, что «сегодня урок — это лаборатория, а не лекция».
Перевернутое обрамление медитации мощное, потому что  [[Благоприятная среда сосредоточена на том, что включено]] . 

Лаборатория биологии на самом деле не о клеточной биологии, а о приобретении знаний в рамках подготовки к какому-то неопределенному будущему периоду, в котором вы можете заниматься клеточной биологией.

Некоторые другие виды деятельности, которые структурированы, как медитация таким образом:

* командные виды спорта: вы появляетесь, чтобы играть со своей командой, но ваш тренер, скорее всего, использует этот контекст для выполнения каких-либо упражнений или инструкций на день.
** я подозреваю, что также с оркестрами и хорами
* занятия фитнесом: вы действительно появляетесь, чтобы позаниматься*спортом*, а не «заниматься», даже несмотря на то, что есть инструктор, который может каждый день доставлять новые «инструктивные материалы»
** в случае Пелотона и др., это на самом деле массовая среда
* боевые искусства?

Я замечаю, что не могу придумать никаких хороших примеров, которые сосредоточены на абстрактных знаниях (например, клеточной биологии), а не на воплощенных практических знаниях. Почему?
e.g. Headspace, Waking Up, etc.

Эти приложения обладают некоторыми интересными медиа-свойствами

* [[Приложения для медитации объединяют инструкции с ежедневными занятиями]]
* [[Приложения для медитации с гидом естественным образом распространяются со временем]]
* [[Приложения для медитации с гидом доставляют реализованный опыт в средствах массовой информации]]
* [[Приложения для управляемой медитации создают благоприятную среду в средствах массовой информации]]

Если вы загрузите [[Приложения для медитации с гидом]] и будете выполнять его ежедневные занятия в течение нескольких месяцев, вы, вероятно, получите удивительные и глубокие впечатления. Однако, в отличие от обычного курса, любые глубокие открытия, которые вы испытаете, будут казаться в значительной степени авторскими, несмотря на присутствие учителя. Вы не будете учиться, ожидая, пока учитель медитации «сделает вас просветленным»: вы должны потратить время на подушку, восприимчивую к вашим собственным ощущениям. Все это говорит о том, что, хотя эти опыты могут казаться самими авторами, уроки медитации на самом деле структурированы так, чтобы их проводить. Это делает уроки медитации интересным примером [[Реализованный опыт]].

В общем, [[Реализованный опыт трудно распространять]]. Но эти приложения для медитации прекрасно масштабируются: они - средство массовой информации. Они представляют собой многообещающую справочную информацию о событиях в исполнении, обладающих невероятным потенциалом в качестве средства массовой информации .

Почему уроки медитации способствуют получению разыгрываемого опыта, а традиционные уроки - нет?

* Медитация - это [[Среда участия]] - на самом деле, она требует намеренного участия
* Уроки сформулированы как явно подчиненные практике: [[Приложения для медитации объединяют инструкции с ежедневными занятиями]].
Понимание медитации раскрывается медленно. Соискателям обычно рекомендуется практиковать ежедневно. Через несколько недель и месяцев они могут начать по-другому воспринимать мир. Некоторые концепции медитации не будут иметь никакого смысла, если у вас все еще есть проблемы с четким восприятием дыхания, поэтому их лучше представить позже. Другие концепции необходимо вводить много раз, в самых разных формах, прежде чем момент наконец наступит.

Книга по медитации не очень подходит для такого медленного разворачивания: поначалу многое в ней может не иметь смысла; читателям придется перечитывать его снова и снова по мере развития их практики. Большинство читателей, вероятно, этого не сделает.

Но возможности [[Приложение для медитации с гидом
приложения для управляемой медитации растянуты во времени]]. Каждое дневное занятие может дать новую идею: [[Приложения для медитации объединяют инструкции с ежедневными занятиями]]. Периодическое повторение старых идей может поддерживать их активность в подсознании учащихся до тех пор, пока они не будут готовы по-настоящему ими заняться. Вместо того, чтобы писать монографию по медитации в переплете, идеи можно медленно разворачивать (своего рода [[Своевременный текст]]). Это необычное свойство для средства массовой информации: [[Средствам массовой информации в основном не хватает авторского измерения времени, превышающего сутки]].

Особенно сложный курс медитации может даже представить «более сложные» идеи позже в последовательности, как идея, описанная в [[Мнемонические тексты могут быть сериализованы небольшими частями с течением времени, приурочены к воспоминаниям читателя]].

Некоторые связи здесь со [[Всё разнесено]]; например, [[Интервальное повторение может быть полезным инструментом для развития или изменения привычек]].
[[Приложения для медитации с гидом]] являются [[Благоприятная (стимулирующая) среда]] гораздо чаще, чем обычные «приложений для обучения».

* Как правило, они сосредоточены на глубоко значимом росте (понимании природы ума и бытия), а не на развитии навыков: [[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]]
* Они сосредоточены на том, чтобы делать то, что нужно: [[Благоприятная среда сосредоточена на том, что включено]]
* Занятия - это не горькая пилюля, которую нужно проглотить: даже ранние занятия служат истинно значимой цели. [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]].
* Практика преподавания возникла как побочный продукт собственных попыток серьезных созерцателей глубоко понять: [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]].
** Хотя эти приложения представляют собой легко усваиваемые формы традиционных практик, методы медитации определяются практикой экспертов, а не новичков (например, математика в начальной школе): [[Мощные благоприятные среды сосредоточены на использовании экспертами]]
* [[Реализованный опыт может стимулировать активное участие в благоприятных условиях]]; приложения для медитации делают это: [[Приложения для медитации с гидом доставляют реализованный опыт в средствах массовой информации]].
Интерфейсы с длинными прокручиваемыми областями (например, длинные тексты, истории сообщений) кажутся дезориентирующими и хрупкими отчасти потому, что разработчики приложений не считают положение прокрутки важной частью состояния приложения.

Если пользователь помечает сообщение или выбирает фильтр, он, скорее всего, сохранится; потеря этого выбора может быть расценена как потеря данных. Напротив, обычные действия в интерфейсах обычно теряют позиции прокрутки.

Одна из проблем здесь заключается в том, что, хотя поведение прокрутки обычно реализуется через общий компонент системного уровня, семантическая интерпретация положения прокрутки как состояния приложения зависит от интерфейса. Например, одно и то же окно просмотра может быть повторно использовано для отображения нескольких различных потоков разговора. В некоторых случаях имеет смысл сохранить и восстановить позицию прокрутки последнего просмотренного разговора; в других случаях имеет смысл сохранять позиции прокрутки независимо для каждого разговора. Таким образом, сохранение этого состояния не может иметь место на уровне, который обычно был бы его моделью.

Связанный: [[Цифровое чтение с непрерывной прокруткой мешает постоянству объекта]]

"""

В. Почему приложения не поддерживают надежную позицию прокрутки окон просмотра интерфейса?
A. Разработчики не считают позиции прокрутки важной частью состояния интерфейса.

В. Какие проблемы возникают при сохранении позиций прокрутки как частей состояния приложения?
A. (например, обычно инфраструктура пользовательского интерфейса хочет быть «моделью», семантическая интерпретация идентичности окна просмотра незначительно меняется и т. д.)
"""

!!!References

Омар Ризван в Твиттере: [[«Я боюсь прокрутки (например, прокрутки вверх, чтобы увидеть историю чата) и возмущаюсь ею, потому что я знаю, что разработчики приложений не воспринимают это всерьез как состояние приложения, например, я нажимаю на другой чат, а затем возвращаюсь в чат, где Я прокручиваю вверх, и приложение отбрасывает мою позицию прокрутки»|https://twitter.com/rsnous/status/1251810672544845826]]
Скажем, что другой человек глубоко подумал о похожей идее на вашу собственную, и их выводы кажутся в основном похожими. У каждого из вас есть свои собственные условия искусства для различных атрибутов теории. Заманчиво подчинить термины другого в свои собственные, но, вероятно, есть тонкие различия между вашими концепциями и их, которые будут потеряны в процессе. Вы можете просто использовать термины другого человека, но иногда трудно идти в новых направлениях, когда вы привязаны к предыдущей терминологии, которая может содержать много коннотаций. И все же вы не хотите постоянно ссылаться на оба набора терминов.
Одним из решений является создание заметки, которая связывает ваш термин искусства с другим аналогичным термином искусства. Это устанавливает «мост» между теориями, описывая, где вы пересекаетесь, а где вы отличаетесь. Соответствующие терминологии могут сохранить свой «суверенитет» со своими собственными основными нотами - мостовая нота существует только для того, чтобы связать их. Например:  [Сходства и различия между вечнозеленым написанием заметок и Zettelkasten].
Такие заметки напоминают мне записи в реляционной таблице соединений много ко многим.
[[Системы памяти с интервалом повторения делают выбор в пользу памяти]], но ценность компьютеризированного компонента заключается именно в динамическом планировании и выборе вопросов для рассмотрения. В некотором смысле эффективность  [[§Система интервального повторения]] происходит от ее способности 
 программировать ваше внимание ([[Программируемое внимание]]). 

Подумайте: «{cron} для вашего разума».

Ручное принятие решений о том, какие карты следует просмотреть, было бы обложено слишком обременительным налогом на каждую карточку. Стоимость транзакции слишком высока. Когда эта работа в основном передается на аутсорсинг, вы можете принять более грубое решение - посвятить свое внимание практике SRS в течение 10 минут - а затем позволить вашему вниманию быть направлено машиной в этом блоке.
В традиционной системе в стиле карточек вы можете использовать это наблюдение, чтобы выйти далеко за рамки запоминания: см. [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]], а [[Интервальное повторение может быть полезным инструментом для развития или изменения привычек]]. [[Дизайн подсказок с интервалом повторения предназначен для разработки задач для себя в будущем]].

Но основная ''концепция''- автоматическая организация и представление задач в соответствии с некоторым расширяющимся графиком - может быть создан во многих интерфейсах и доменах. Я называю это понятие «[[Всё разнесено]]».

Некоторые примеры:

* [[Поэтапное чтение]] 
* [[Своевременный текст]]
* [[Интервальное повторение может быть полезным инструментом для постепенного развития догадок]] 
* [[Интервальное повторение может снизить ставки в отношении разрушительных операций по обслуживанию почтового ящика]]  (списки дел, электронная почта, списки чтения и т. д.)
* [[Readwise]]
 
Похожее:

* Для приложений, которые могут использовать простой формат карточек SRS, см.  [[Необычные приложения систем памяти с интервалом повторения]] 
* [[Системы интервального повторения как катехизис]] 
* [[Система интервального повторения на уровне ОС]]

!!!Ссылки
Матушак, А. (2019, декабрь).*Серьезно относиться к работе с знаниями*. Представлено в Stripe Convergence, Сан-Франциско.
[[Ящики входящих работают только в том случае, если вы доверяете тому, как они очищаются.]], и обычно это требует агрессивного сброса предметов с более низким приоритетом. Некоторые примеры:

* архивирование низкоприоритетных электронных писем, чтобы ваш почтовый ящик был разборчивым
* сбрасывание задач отстающего элемента
* закрытие вкладок браузера с пожеланиями, чтобы сохранить управляемый пользовательский интерфейс браузера
* удаление долго непрочитанных PDF-файлов из папки загрузки

Все эти действия кажутся весомыми, потому что они разрушительны. Конечно, если вы закроете вкладку, вы всегда сможете открыть ее позже, но часто боитесь, что если вы закроете ее, вы больше никогда не увидите ее.

Такие разрушительные действия часто не соответствуют тому, что мы на самом деле имеем в виду. Мы часто имеем в виду что-то вроде: если у меня будет светлый день на следующей неделе (т.е. если уровень прибытия низкий), или если у меня будет время в ближайшие несколько вечеров (т.е. если я временно увеличу скорость вылета), я проверю это… но в противном случае я не сделаю этого. Другие вкладки, которые я открыл, гораздо важнее прямо сейчас.

Аналогичным образом, если вы пересматриваете эссе, вы можете столкнуться с интересным абзацем, который на самом деле не принадлежит. Удалять абзац будет разрушительным, и если вы переместите его в раздел «кладбища», вы не верите, что когда-нибудь увидите его снова.

Типичные программные системы чрезмерно формальные. Они настаивают на окончательности, хотя их пользователи обычно думают с точки зрения относительных предпочтений, в зависимости от контекста. С другой стороны, системы, которые явно повторяют «приоритет» и «контекст», как правило, чрезмерно вербны и непригодны для использования. Требуется лучший «основной глагол». Один из примеров возможного решения:  [[Интервальное повторение может снизить ставки в отношении разрушительных операций по обслуживанию почтового ящика]]. 

!!!References
Matuschak, A. (2019, December). Taking knowledge work seriously. Presented at the Stripe Convergence, San Francisco.
Disney приобрела Pixar в 2006 году, и с момента [[своей формы 10-K в 2005 году|https://www.sec.gov/Archives/edgar/data/1002114/000119312506047278/d10k.htm]] она не сообщала о доходах от продаж технологий. В этом году он сообщил, что его доходы от программного обеспечения составляют около 5% от общей выручки. В то время это число не росло: оно было примерно на уровне в период 2003–2005 годов. Между тем, за тот же 3-летний период затраты на НИОКР в области технологий составили 40-50% от общих операционных расходов Pixar.
Так что, по крайней мере, исторически технология была значительным центром затрат для Pixar. Это важно иметь в виду при рассмотрении  [[Фильмы и разработка технологий Pixar выступают в виде сопряженных маховиков]].
Один из способов изучить пределы обработки информации человеком - это спросить, сколько информации человек может воспроизвести с помощью наблюдаемых им стимулов. В этой структуре мы можем смоделировать наблюдателя как канал связи, используя инструменты теории информации. Этот рисунок (Поллак, 1953, стр. 422) изображает модель:

[img[54B6FF53-D8F9-4EF4-9637-501FC3D620C7.png]]

Идеальный канал связи может воспроизвести любой ваш ввод.  На практике большинство каналов (включая людей) производят больше ошибок, поскольку входные данные содержат больше информации.  Поведение обычно асимптотическое: канал отлично передает свой вход до некоторого порога.  После этого порога, который мы называем * {пропускной способностью канала} *, корреляция между выходами и входами падает, а общее количество битов передаваемой информации остается постоянным.

Таким образом, для моделирования людей можно использовать эксперименты с человеческим [[Диапазон абсолютного суждения]]. Обзор эмпирических данных Миллера (1956) показал, что пропускная способность человеческого канала для одномерных стимулов составляет около {2,6} бит.

Например, вот рисунок Миллера (1956, стр. 83), использующий экспериментальные данные Поллака (1952, 1953) об абсолютном суждении человека о тонах, переработанный с помощью теоретико-информационного подхода.

[img[input information.png]]

"""
Q. Если вы знаете диапазон абсолютных суждений субъекта (для единичных, одномерных величин), как бы вы оценили пропускную способность их каналов?
A. Емкость канала = log2 (диапазон абсолютного суждения)

Q. Почему диапазон абсолютного суждения связан с пропускной способностью человеческого канала соотношением log2?
A. Пропускная способность канала выражается в битах.  Если диапазон абсолютного суждения составляет 8 категорий, вам понадобится log2 (8) битов для представления каждого состояния.
"""

!!!References
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81–97.  [https://doi.org/10.1037/h0043158](https://doi.org/10.1037/h0043158)   [Miller - The magical number seven, plus or minus two](https://notes.andymatuschak.org/zjfsd9pyxWQAF3HU5k7RAXhRjJBqtMEGKK27) 

Pollack, I. (1952). The Information of Elementary Auditory Displays. The Journal of the Acoustical Society of America, 24(6), 745–749.  [https://doi.org/10.1121/1.1906969](https://doi.org/10.1121/1.1906969) 

Pollack, I. (1953). Assimilation of Sequentially Encoded Information. The American Journal of Psychology, 66(3), 421–435. JSTOR.  [https://doi.org/10.2307/1418237](https://doi.org/10.2307/1418237)
Один из распространенных способов решения проблемы пропускной способности канала людей как обработчиков информации, по-видимому, заключается в проведении последовательности более мелких наблюдений, а не единого сложного абсолютного суждения. Это работает, только если вы можете удерживать последовательность в своей голове, поэтому она ограничена вашим объемом рабочей памяти. К счастью, объем рабочей памяти в основном не зависит от сложности элемента. Таким образом, вы можете увеличить эффективную пропускную способность канала, увеличивая количество битов в каждом наблюдаемом чанке  ([[«Чанки» в человеческом познании]]).

На этом рисунке, изображающем данные из Pollack (1953), пропускная способность канала увеличивается почти линейно с увеличением количества бит на чанк (Miller, 1956, стр. 92).
[img[D1D6C134-0ADF-461B-A6CB-3207BCE86933.jpg]]

Этот эффект по-прежнему ограничен [[Диапазон абсолютного суждения]], поэтому, чтобы увеличить количество битов-на-чанк выше 5, вам необходимо сделать фрагменты многомерными ([[Пропускная способность человеческого канала увеличивается с увеличением размерности стимула]].

Q. Как изменяется пропускная способность человеческого канала для последовательности элементов при увеличении количества битов, передаваемых в каждом элементе?
A. Увеличивается примерно линейно.

Q. Почему имеет значение, что объем рабочей памяти примерно не зависит от объема абсолютной оценки?
A. Это предполагает, что мы можем хранить больше информации в рабочей памяти, увеличивая размер «чанка» элементов, хранящихся в памяти.

!!!References
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81–97.  [https://doi.org/10.1037/h0043158](https://doi.org/10.1037/h0043158)   [Miller - The magical number seven, plus or minus two](https://notes.andymatuschak.org/zjfsd9pyxWQAF3HU5k7RAXhRjJBqtMEGKK27) 
Pollack, I. (1953). Assimilation of Sequentially Encoded Information. The American Journal of Psychology, 66(3), 421–435. JSTOR.  [https://doi.org/10.2307/1418237](https://doi.org/10.2307/1418237) 
Для одномерных стимулов [[Пропускная способность человека как обработчика информации]] составляет всего пару битов, но в повседневной жизни кажется, что мы обычно воспроизводим гораздо более сложные стимулы, чем это. Одно из объяснений этого несоответствия состоит в том, что пропускная способность человеческого канала {увеличивается} с {размерностью} стимула.

Например, анализ Миллера (1956, стр. 85-87) данных Хейка и Гарнера (1951) и Кунана и Клеммера (неопубликованное сообщение с Миллером) предполагает, что пропускная способность человеческого канала для точек на линии составляет от {3,2 до 3,9 битов. (10-15 категорий)}, тогда как данные Клеммера и Фрика (1953) показывают, что пропускная способность человеческого канала для точек в квадрате составляет около {4,6 бит (~ 24 категории)}.

Рисунок Миллера (1956, стр. 88), обобщающий данные для независимо меняющихся размеров:

[img[F46EFF27-ED01-48BB-BEB4-58C004B4A8DD.png]]

Пропускная способность канала не увеличивается линейно с увеличением числа измерений. Фактически, по мере увеличения размерности пропускная способность канала для любой отдельной переменной надежно {уменьшается} (Miller, 1956, стр. 89) до тех пор, пока {количество категорий, подлежащих оценке, превышает размерность} (Erikson, 1955, стр. 327-329)

Этот эффект сохраняется, даже если добавленные измерения не являются независимыми, например при одновременной корреляции размера, яркости и оттенка с одной переменной пропускная способность канала составляла 4,1 бита по сравнению с 2,7 бита для любого изолированного атрибута (Eriksen, 1955, агрегировано Миллером, 1956, стр. 88).

Миллер предполагает (1956, стр. 91), что этот эффект имеет асимптотику около 10 измерений, но в то время не было никаких доказательств. Halford et al (1998) анализируют промежуточные данные и предполагают, что предел ближе к {4}.

---

!!!References
* Eriksen, C. W., & Hake, H. W. (1955). Absolute judgments as a function of stimulus range and number of stimulus and response categories. Journal of Experimental Psychology, 49(5), 323–332.  [https://doi.org/10.1037/h0044211](https://doi.org/10.1037/h0044211) 
* Hake, H. W., & Garner, W. R. (1951). The effect of presenting various numbers of discrete steps on scale reading accuracy. Journal of Experimental Psychology, 42(5), 358–366.  [https://doi.org/10.1037/h0055485](https://doi.org/10.1037/h0055485) 
* Halford, G. S., Wilson, W. H., & Phillips, S. (1998). Processing capacity defined by relational complexity: Implications for comparative, developmental, and cognitive psychology. Behavioral and Brain Sciences, 21(6), 803–831.  [https://doi.org/10.1017/S0140525X98001769](https://doi.org/10.1017/S0140525X98001769) 
* Klemmer, E. T., & Frick, F. C. (1953). Assimilation of information from dot and matrix patterns. Journal of Experimental Psychology, 45(1), 15–19.  [https://doi.org/10.1037/h0060868](https://doi.org/10.1037/h0060868) 
* Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81–97.  [https://doi.org/10.1037/h0043158](https://doi.org/10.1037/h0043158) 
[[Миллер - Волшебное число семь, плюс или минус два]]. 
Подсказки в [[Execute Program]] оцениваются на компьютере, поэтому, если читатели делают семантически несущественные опечатки в своих ответах, система отмечает их как неправильные. Эти ложноотрицательные результаты могут сильно раздражать, особенно потому, что уроки Execute Program не открываются до тех пор, пока вы не изучите их предварительные условия. В курсе SQL частота ложноотрицательных результатов достаточно высока, поэтому в начале 2020 года система была изменена так, что неправильные ответы больше не «считаются» ошибочными, если студент в конечном итоге дает правильный ответ. Читатели могут пробовать сколько угодно раз, и интервал следующего обзора будет увеличиваться в соответствии с кривой SRS. Последующие уроки разблокируются независимо от производительности пользователя.

Если пользователь не может дать ответ даже после нескольких попыток, он, наконец, может «сдаться», чтобы увидеть правильный ответ. Если он сдаётся таким образом, то интервал между вопросами уменьшается, как это обычно бывает с забытыми ответами в SRS.

Смотри  [[Системы интервального повторения с самооценкой избегают ложноотрицательных результатов]] и [[Самооценка по сравнению с машинной оценкой в системах интервального повторения]].
[[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]]. Такие подсказки имеют много общих черт с нашими существующими подсказками отзыва:

* Их можно выполнить менее чем за 20 секунд.
* Они не будут чувствовать себя ужасно напряженными
* Они могут быть оценены самостоятельно
* Вероятно, достаточно бинарной оценки
* Им выгоден [[Эффект интервала]] (хотя, возможно, и с другим графиком).
* «Прогресс» можно обоснованно охарактеризовать как «многократное предоставление правильных ответов с увеличивающимися интервалами неиспользования учебы».
* Хотя [[Запросы приложения должны изменяться при повторении]], эти вариации можно разумно сгруппировать в одну сущность «подсказка» / «упражнение», прогресс которой накапливается по мере выполнения его составляющих.
** Обратите внимание, что для этого необходимо, чтобы вариации были в основном взаимозаменяемыми - концептуально измеряя одну и ту же скрытую переменную.
* Одна подсказка не будет очень полезной, но если вы проделаете несколько десятков, вы получите осмысленное обучение.
* Они выигрывают от перемешивания и пакетирования (опять же, возможно, с другими параметрами)

Поскольку опыты с этими типами вопросов во многом совпадают, решения проблем проектирования подсказок к памяти в основном должны применяться к проблемам проектирования простых подсказок приложения. Это говорит о том, что простые подсказки приложения могут быть представлены с небольшой адаптацией в существующей среде обзора [[§Система интервального повторения]].

!!!Функциональные отличия от подсказок отзыва

С точки зрения системы подсказки приложения несколько отличаются от подсказок памяти:

* Система должна каждый раз представлять разные пары вопрос / ответ ([[Запросы приложения должны изменяться при повторении]]), сгруппированные в единую сущность «подсказка» / «упражнение», которая накапливает прогресс.
* В таких подсказках иногда может потребоваться объяснение того, как был получен ответ. Объяснение не является «частью» ответа: читатели должны понимать, что они не должны делать свой ответ неверным, если они нашли его другим способом.
* Если читатели не отвечают на запрос приложения, их не следует просить повторить попытку в том же сеансе. Чтобы сохранить вариацию, при повторной попытке должен отображаться другой вопрос. Это либо возложит на автора гораздо большую нагрузку, либо сделает цикл вариаций намного быстрее. Соответственно: если сгруппированной сущности «подсказка» / «упражнение» не будет предоставлена ​​ее собственная четкая идентификация, пользователь, скорее всего, будет интерпретировать подсказку о повторной попытке как отдельную проблему, а не возможность повторно попытаться решить предыдущую проблему.

Ни одно из этих различий не имеет большого значения.

!!!Повествовательное значение для мнемонической среды

Хотя функциональные различия относительно невелики, эти подсказки заставляют нас изменить то, как мы описываем [[Мнемоническая среда]], как мы формулируем наши призывы к действию, как мы описываем прогресс и так далее.

На практике это означало:

* изменение «почти без усилий запоминать то, что вы читаете», на «почти без усилий запоминать и применять то, что вы читаете»
* используя более общие формулировки в копии пути пользователя, например:
** «Ты вспомнил» -> «ты смог ответить»
** «Запомнить» -> «правильно ответить»
** «Укрепить память о материале» -> «укрепить понимание материала»
** так далее
[[Спортсмены и музыканты гораздо более строго преследуют виртуозность в фундаментальных навыках, чем работники, занимающие знаниями.]]. Одна из вероятных причин заключается в том, что спортсмены / музыканты занимаются [[Целенаправленная практика, после Ericsson and Pool]], то есть деятельностью, направленной конкретно на улучшение навыков.

Несомненно, работники умственного труда регулярно используют «возможности для роста», например новую работу, которая подталкивает их к выходу за рамки их прежних навыков. Но их повседневная деятельность сосредоточена на выполнении работы, а не (обычно) на развитии каких-либо навыков. Это похоже на футболиста, который играет в игры только для того, чтобы набрать форму, а не поднимать тяжести и выполнять упражнения. [[Типичная рабочая и производственная среда не является преднамеренной практикой]].

Эрикссон утверждает (2016, стр. 98), что целенаправленная практика интеллектуального труда невозможна, потому что нет объективных критериев (а значит, плохая обратная связь), потому что навыки не определены четко, и потому что методы целенаправленного улучшения навыков в этих домены не известны. Я скептически отношусь к окончательности этих утверждений, учитывая, например, что [[Написание вечнозеленых заметок как фундаментальная единица работы по знаниям]], [[Системы памяти с интервалом повторения делают выбор в пользу памяти]] и т. д. Но это правда, что, по крайней мере, на данный момент нет ничего так же просто, как тяжелая атлетика, что вы можете сделать, чтобы улучшить свои коммуникативные навыки.

Существует значительная напряженность между этой линией рассуждений и [[Благоприятная среда сосредоточена на том, что включено]] / [[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]]. В этих статьях, казалось бы, утверждается, что первоклассные академии тенниса и фортепиано не создают благоприятных условий… что почти наверняка неверно. Также существует потенциальная напряженность в том, [[Как мы можем расположить инструменты для размышления в внутренне значимых контекстах?]]?

См. также [[§Серьезно относиться к работе со знаниями (разговор о конвергенции Stripe, 12.12.2019)]]

---

!!!References
Ericsson, A., & Pool, R. (2016). Peak: Secrets from the New Science of Expertise (1 edition). Eamon Dolan/Houghton Mifflin Harcourt. [[Пик - Ericsson and Pool]].

[[Nielsen, M. A. (2004). Principles of effective research (Technical Note No. 0404). The University of Queensland]]

::Многие люди не уделяют достаточно времени саморазвитию. Если вы остановите разработку на уровне, на котором была написана ваша первая статья, вряд ли вы решите какие-либо серьезные проблемы. Более реалистично, для многих людей саморазвитие - это случайность, что-то, что происходит, когда они на беговой дорожке пытаются решать проблемы, создавать документы и так далее, или во время обучения. Несмотря на то, что такие люди будут развиваться, маловероятно, что такой случайный подход позволит им решать самые важные проблемы.
Разработка интерфейса, написание убедительного вступительного предложения и постановка диагноза - многие типы [[Интеллектуальный труд]] зависят от циклов создания возможностей, их отбора и повторения на основе наблюдений или обратной связи.

Как ни странно, мой опыт в дизайне и проектировании показывает, что эксперты лучше создают возможности в нужных «регионах», быстро отбирают возможности, которые вряд ли сработают, и обновляют свой поиск на основе наблюдений / отзывов. Одно из возможных объяснений: [[Опыт требует построения сложных схем перекодирования чанков]].
Один из моих любимых способов общения творческих людей - «работать с открытой дверью гаража», напевать на отрывок из Робина Слоана (ниже).  Это противоположность учетной записи Twitter, в которой в основном публикуются объявления о завершенной работе: это [[Screenshot Saturday|https://twitter.com/hashtag/screenshotsaturday?lang=en]]; он читает лекцию о проблемах, над которыми вы думаете в душе;  он вслух размышляет о том, как ваш проект вообще не работает.  Это так много Twitch.  Я хочу увидеть процесс.  Я хочу увидеть, как ты подрезаешь артишок.  Я хочу видеть, как вы выбираете цветовую палитру. [[Антимаркетинг]].

Мне лично нравится такой вид общения, но я подозреваю, что он также создает больше заинтересованных и интересных подписчиков в долгосрочной перспективе. Это также способ избежать проблем, описанных в разделе [[Избавьтесь от внутренней коррупции]].

!!!Ссылки

Я бы хотел, чтобы начать физический бизнес было проще;  Хотелось бы, чтобы тропа не была такой крутой, особенно в таких местах, как Bay Area;  потому что я считаю, что это одно из лучших, что может сделать человек.  Помимо прочего, физический бизнес оживляет общественное пространство, делая простое и красноречивое заявление: я здесь, работаю.

К северу от нас находится научная мастерская по выдуванию стекла;  Я часто прохожу мимо него по тротуару.  Просто существуя и имея красивую вывеску, выходящую на улицу, они каждый день выполняют небольшую общественную услугу.  Мы здесь, работаем.

В том же комплексе легкой промышленности, что и Медиа-лаборатория на Мюррей-стрит, есть деревообрабатывающий цех, и человек, который им управляет, всегда держит дверь открытой.  Просто как тот.  Какое удовольствие каждый чертов день проезжать на моем велосипеде мимо этой двери, заглядывать внутрь и видеть все его инструменты, доски, сложенные в стопку для любого поручения, которое он берет на себя. Я здесь, работаю.

Отчасти проблема социальных сетей заключается в том, что нет эквивалента вывеске ученых стеклодувов, открытой двери плотника или сэндвич-досок Дафны и Джесси. В Интернете, если вы перестанете говорить, вы исчезнете. И, как следствие: в Интернете вы замечаете только людей, которые говорят без остановки.

Если бы вы могли надеть волшебные интернет-очки, которые позволили бы вам увидеть сквозь эту корявую предвзятость выбора и справедливо, правильно увидеть композицию реальности - ну, просто прогуляйтесь по Эмеривиллю и Западному Беркли.  Вот так бы выглядело!  Весь шум Твиттера превратится в одно странное кафе - всего лишь пятнышко в огромном городе, целиком состоящем из тихо работающих людей.

Интересно отметить, что Робин в каком-то смысле ищет [[Периферийное зрение]] в этом стремлении.
[[Игры эффективно развивают навыки игроков]], но в этом не суть опыта: навыки случайны для неразрывно значимых целей - эстетических, социальных, повествовательных и т. д. Истинная цель - эстетическая, а не практичная: [[Игра - это эстетическое средство действия]]. И эта эстетика, как правило, руководствуется  фразой [[«Найди развлечение»]]. 

Развитие навыков - средство для достижения этих целей: я хочу научиться летать, потому что это красиво. Развитие навыков также является естественным побочным продуктом этих целей: я лучше летаю, потому что окружающая среда содержит сложные платформы, до которых мне трудно добраться.

Разработчики [[Обучающие игры]] игнорируют это наблюдение и делают основной целью развитие навыков. Иногда игроку ставят какую-то другую якобы цель («побить рекорд!»), но это тонкий слой; очевидно, это не главное внимание дизайнеров. Такие игры подрывают их собственные цели: [[Обучающие игры - это обреченный подход к созданию благоприятной среды]].


!!!References
Victor Bret

Думаю, вы определенно правильно поняли, думая о занятиях с концепцией «веса». Но я думаю, что чрезмерное внимание к «обучаем ли мы этим концепциям, изучаем ли дети эти концепции» приводит к снисходительным конструкциям, которые не могут быть ни интересными, ни образовательными. …

Возможно, вместо этого, дизайн-действия, в которых концепции имеют вес, но сосредоточены на том, чтобы сделать деятельность интересной и радостной как для дизайнера, так и для игрока. Спросите себя: «Люблю ли я сам с этим играть?» И поверьте, что игроки, проводя часы с этими концепциями «в руках», приобретут то, что они знакомы, затем беглость, а затем понимание, которое сложно создать в явном виде.
Чтобы построить мышечную ткань, вы должны протолкнуть гомеостатические механизмы вашего тела за их нормальную способность компенсировать, после чего ваше тело укрепит ваши мышцы, чтобы восстановить гомеостаз. Наши неврологические структуры, похоже, реагируют аналогичным образом, адаптируя сети соединений, чтобы облегчить часто используемые маршруты (Barnes and Finnerty, 2010).

Поэтому, если вы хотите развить навык, вам нужно бросить вызов гомеостазу. Вступая в «новую норму» за пределы вашей текущей зоны комфорта, ваше тело отреагирует, облегчая это состояние. В этот момент «новая норма» станет новой установкой гомеостаза, поэтому вам нужно будет еще больше подтолкнуть себя, чтобы продолжать расти (см.  [[Преднамеренная практика]]).

Приводит ли нарушение гомеостаза к регрессу?
{Вуллетт и др.} ({2009}) обнаружили, что работа вышедших на пенсию лондонских таксистов на навигационных задачах {беднее, чем у штатных лондонских таксистов, но больше, чем у контролируемых субъектов}.

!!!Ссылки
Барнс, С. Дж. и Финнерти, Дж. Т. (2010). Сенсорный опыт и пересветриние коры. Нейробиолог, 16(2), 186–198.  https://doi.org/10.1177/1073858409343961

Ericsson, A., & Pool, R. (2016).*Пик: Секреты новой науки об экспертизе*(1 издание). Имон Долан/Хоутон Миффлин Харкорт. [[Пик - Ericsson and Pool|https://notes.andymatuschak.org/z6Sx5DSLp1Jdt4wqvN36Xvregj6mQnCnFopmy]]
//Оригинал с рисунками в Bear//

!!!Абстракция

Истощение ограниченных ресурсов рабочей памяти может произойти после значительных умственных усилий, что приведет к снижению производительности по сравнению с условиями, требующими менее значительных умственных усилий. Этот «эффект истощения» может быть включен в теорию когнитивной нагрузки, которая связана с использованием свойств когнитивной архитектуры человека, особенно рабочей памяти, при разработке инструкций. 
Было проведено два эксперимента по изучению эффекта интервала, который возникает, когда обучение, разделенное временными промежутками между учебными эпизодами, превосходит идентичное массовое обучение без промежутков между учебными эпизодами. Используя учащихся начальной школы, изучающих математику, было обнаружено, что учащиеся получили более низкие баллы в тесте на объем рабочей памяти (эксперименты 1 и 2) и более высокие оценки когнитивной нагрузки (эксперимент 2) после массовых занятий, чем после интервальных занятий. Уменьшение объема рабочей памяти может быть связано с истощением ресурсов рабочей памяти после относительно продолжительных умственных усилий, связанных с массированной по сравнению с интервальной практикой. Обсуждается расширение теории когнитивной нагрузки с целью включения истощения ресурсов рабочей памяти вместе с последствиями для учебного дизайна, включая эффект интервалов. 

//Ключевые слова: теория когнитивной нагрузки, когнитивная архитектура человека, истощение ресурсов рабочей памяти, эффект распределения ресурсов.//

Истощение ресурсов происходит, когда когнитивные усилия при выполнении одной задачи снижают производительность более поздней задачи из-за того, что первая задача истощает ресурсы, доступные для выполнения второй задачи. В частности, истощение ресурсов рабочей памяти происходит, когда две задачи имеют схожие когнитивные компоненты, а снижение производительности второй задачи связано с уменьшением объема рабочей памяти. Истощенные ресурсы можно восстановить после периодов отдыха (например, Tyler & Burns, 2008).

Наша теоретическая цель - предположить, что теорию когнитивной нагрузки можно существенно расширить, включив в нее истощение ресурсов рабочей памяти. Наша эмпирическая цель - применить это расширение к эффекту интервалов, таким образом объяснив эффект интервалов и включив его как эффект теории когнитивной нагрузки. Эффект интервалов возникает, когда обработка информации с интервалами на более длительные периоды (интервальное представление) приводит к превосходным характеристикам теста по сравнению с той же информацией, обработанной в течение более коротких периодов (массовое представление). В обоих случаях объем представленной информации и общее время обработки информации идентичны. Единственное отличие состоит в том, что интервальные условия включают в себя один или несколько временных промежутков между сегментами обрабатываемой информации, в то время как в групповых условиях вся информация представлена последовательно без промежутков. 

Мы начнем с обсуждения истощения ресурсов рабочей памяти, а затем его последствий для теории когнитивной нагрузки и того, как эту теорию, усиленную включением истощения ресурсов, можно использовать для объяснения эффекта интервалов. Для проверки предложенного объяснения было проведено два эксперимента. 

!!!Истощение ресурсов оперативной памяти 
Нам известно об очень небольшом количестве работ, в которых непосредственно исследовалось влияние когнитивных усилий на истощение рабочей памяти. Кроме того, доступная ограниченная работа не связана с когнитивными усилиями во время обучения. Соответствующее исследование, которое мы смогли найти, было проведено Шмейхелем (2007). 

Он провел четыре эксперимента, с экспериментами 1, 2 и 4, исследуя истощение ресурсов, предлагая студентам старших курсов сложные задачи и оценивая последующее влияние на объем рабочей памяти. Эксперимент 1 показал, что просьба игнорировать нерелевантные слова, появляющиеся на экране, изображающие человека, говорящего без звука, уменьшала объем их рабочей памяти по сравнению с людьми, которых не просили игнорировать нерелевантные слова. Активно пытается игнорировать слова, задача сложная, ресурсы истощены. Эксперимент 2 просил людей написать рассказ, не используя букв a или n, и сравнивал их с людьми, которых аналогичным образом просили написать рассказ, но без ограничения избегания двух букв. Оценка производительности в последующем тесте емкости рабочей памяти показала, что написание рассказа с ограничением снижает объем рабочей памяти по сравнению с написанием рассказа без ограничения. Результаты показывают, что усилия, затраченные на написание истории в ограниченном состоянии, истощили ресурсы рабочей памяти больше, чем усилия, затраченные на неограниченное состояние. Наконец, в эксперименте 4 сравнивали людей, которых просили преувеличить свои эмоциональные реакции при просмотре эмоциональных фильмов, с людьми, которые просто смотрели фильмы. Усилия, связанные с преувеличением эмоциональных реакций, истощали ресурсы рабочей памяти больше, чем выражение нормальных эмоций.

Эти эксперименты убедительно доказали, что увеличение когнитивных усилий истощает ресурсы рабочей памяти. Ни одна из задач не была учебной, но кажется разумным предположить, что условия обучения, требующие увеличения когнитивных усилий или увеличения когнитивных усилий с течением времени, будут иметь аналогичный эффект на истощение ресурсов рабочей памяти. Есть предыдущая работа, в которой были получены результаты в соответствии с исследованием Schmeichel (2007), но не использовалась мера объема рабочей памяти в качестве зависимой переменной. Schmeichel, Vohs и Baumeister (2003) использовали независимые переменные, аналогичные Schmeichel (2007), но вместо использования объема рабочей памяти в качестве зависимой переменной использовали производительность в задачах рассуждения, решения проблем или понимания прочитанного. Результаты показали, что в условиях истощения ресурсов производительность этих задач ухудшалась. В свете последующего исследования Schmeichel (2007), возможно, уместно предположить, что снижение производительности теста после истощения ресурсов было связано с уменьшением объема рабочей памяти. 

В то время как исследования Шмейхеля и его коллег обнаружили общие эффекты истощения, показав, что участие в задачах самоконтроля может снизить производительность при последующих тестах, Хили, Хашер и Данилова (2011) расширили эти результаты, предоставив доказательства более конкретных эффектов истощения рабочей памяти. Они варьировали сходство между стимулами, которые следовало игнорировать в начальной задаче, и теми, которые нужно было запомнить в последующей задаче на рабочую память. 

В четырех экспериментах авторы заметили, что игнорирование слов ухудшает производительность в последующем тесте рабочей памяти, основанном на словах (эксперимент 1), но не на стрелках (эксперимент 2), тогда как игнорирование стрелок ухудшает производительность в тесте рабочей памяти, основанном на стрелках (эксперимент 3 ), но не на словах (Эксперимент 4). Таким образом, Healey et al. (2011) показали, что эффекты истощения возникали только тогда, когда было соответствие между стимулами, которые нужно игнорировать в первом задании, и стимулами, которые нужно запомнить в задании на рабочую память. Опять же, хотя эти эффекты истощения были вызваны когнитивной обработкой, ни одна из задач 
обработки не включала обучение. 

Интересно, что снижение производительности сложных задач в результате умственных усилий, обнаруженное Schmeichel et al. (2003) не распространялся на простые задачи. В отличие от сложных заданий не было никакого эффекта на задание на запоминание бессмысленных слогов. Учитывая центральную роль интерактивности элементов в теории когнитивной нагрузки, получение эффекта с использованием высокой интерактивности элементов, но не задачи с низкой интерактивностью элементов, результат, неоднократно полученный в экспериментах с использованием теории когнитивной нагрузки (см. Следующие разделы), предполагает связь между ресурсами рабочей памяти. теория истощения и когнитивной нагрузки. Эта предлагаемая увязка дает основной импульс текущей работе. 

Таким образом, наша цель - расширить теорию когнитивной нагрузки, добавив к теории истощение ресурсов. Это добавление может иметь общие учебные последствия, но в данной статье мы будем использовать эффект интервала только для проверки целесообразности добавления истощения ресурсов в теорию когнитивной нагрузки. 

!!!Теория когнитивной нагрузки 
Теория когнитивной нагрузки - это теория обучения, основанная на наших знаниях эволюционной педагогической психологии и ее связи с когнитивной архитектурой человека (Sweller, Ayres, & Kalyuga, 2011). Теория использует разделение Гири биологически первичной и биологически вторичной информации (Geary, 2008, 2012; Geary & Berch, 2016) для определения категорий знаний, которые поддаются учебному дизайну (Paas & Sweller, 2012; Sweller, 2016a). Первичные знания - это знания, ведущие, например, к нашей способности решать проблемы, саморегулировать свои мысли или учиться слушать и говорить на своем родном языке, который мы развивались, чтобы усвоить на протяжении многих поколений. Такие знания, как правило, носят общий когнитивный характер, а не предметно-ориентированные (Sweller, 2015), и они критически важны для нашей базовой когнитивной психологии. 

Из-за его эволюционной важности мы эволюционировали, чтобы приобретать его автоматически и бессознательно, без явного обучения, и поэтому он, как правило, не поддается обучению. Напротив, биологически вторичные знания включают информацию, которую определенная культура считает важной. Мы можем получить вторичные знания посредством сознательных усилий со стороны учащегося и четких инструкций со стороны учителей или других инструкторов (Kirschner, Sweller, & Clark, 2006; Sweller, Kirschner, & Clark, 2007). В отличие от общих когнитивных навыков, которые обычно являются биологически первичными, вторичные навыки обычно зависят от предметной области (Tricot & Sweller, 2014). Практически каждая тема, которая преподается в учебных заведениях и учебных заведениях, представляет собой пример биологически вторичных знаний и навыков. 

Теория когнитивной нагрузки в значительной степени связана с приобретением предметной, биологически вторичной информации, которая является предметом образовательных и учебных программ. Информационные процессы, относящиеся к теории когнитивной нагрузки, имитируют информационные процессы эволюции путем естественного отбора (Kirschner et al., 2006; Sweller et al., 2007; Sweller & Sweller, 2006) и предоставляют когнитивную архитектуру, используемую теорией (Sweller, 2016b).

!!!Когнитивная архитектура
[[Когнитивный каркас]] - todo связать c этой заметкойи проработать сам термин

Эту архитектуру можно описать следующими пятью основными принципами. Эти принципы являются биологически первичными, поэтому им нельзя научить, потому что они усваиваются автоматически.
 
# Принцип хранилища информации. Вся усвоенная информация, как первичная, так и вторичная, сохраняется в долговременной памяти. Хранилище долговременной памяти очень велико и ''не имеет известных ограничений.''

# Принцип заимствования и реорганизации. Большая часть информации, хранящейся в хранилище долговременной памяти, заимствуется у других людей путем копирования того, что они делают, слушания того, что они говорят, и чтения того, что они пишут. После получения информация реорганизуется путем объединения ее с ранее сохраненной информацией. 

# Случайность как принцип генезиса. Информация, которую нельзя получить от других, может быть получена во время решения проблем с использованием случайной генерации и процессов тестирования. Информация может сохраняться в долговременной памяти, если она полезна, или отбрасываться, если она бесполезна.

# Принцип узких границ изменения. Чтобы сохранить содержимое долговременной памяти, в любой момент времени можно обрабатывать только очень ограниченные объемы новой информации. Соответственно, новая информация из внешней среды обрабатывается рабочей памятью, которая сильно ограничена как по емкости, так и по продолжительности, в течение которой она может хранить информацию.

# Принцип экологической организации и связывания. На основе сигналов окружающей среды неограниченное количество информации может быть перенесено из долговременной в рабочую память, чтобы вызвать действие, соответствующее преобладающей среде. При работе с информацией, ранее организованной и хранящейся в долговременной памяти, **нет известных ограничений рабочей памяти**. 

Эта когнитивная архитектура, основанная на биологически первичной информации, используется для получения, организации и хранения биологически вторичной информации для последующего использования. Таким образом, он обеспечивает когнитивную основу для учебного дизайна. 

Цель обучения - помочь учащимся приобрести новые, предметно- ориентированные, вторичные биологически знания, предназначенные для хранения в долговременной памяти. Чтобы сохранить в долговременной памяти, новая информация сначала должна быть обработана в рабочей памяти, емкость которой сильно ограничена при обработке новой информации. 

!!!Интерактивность элемента и познавательная нагрузка 

Новая информация варьируется в зависимости от континуума интерактивности элементов, где интерактивность элементов относится к количеству элементов, которые должны обрабатываться одновременно (Sweller, 2010). 

Взаимодействующие элементы должны обрабатываться одновременно в рабочей памяти. Например, если вы учитесь работать с математическим уравнением, все символы, составляющие это уравнение, должны обрабатываться одновременно, поскольку большинство изменений влияет на все уравнение. При обработке математического уравнения интерактивность элементов высока, поэтому нагрузка на рабочую память высока. Напротив, если изучается новый словарный запас, каждый элемент может быть изучен без ссылки на какой-либо другой элемент. 

Интерактивность элементов и нагрузка на рабочую память невелики, хотя задача может оказаться сложной, если словарный запас много. Такая интерактивность элементов, вызванная внутренними свойствами информации, накладывает внутреннюю когнитивную нагрузку. Точно так же интерактивность элементов, связанная с одной и той же информацией, может варьироваться в зависимости от используемых учебных процедур, таким образом варьируя постороннюю когнитивную нагрузку. Различные учебные процедуры могут увеличивать или уменьшать количество элементов, которые необходимо одновременно обрабатывать (Sweller, 2010). Основная цель теории когнитивной нагрузки состояла в том, чтобы разработать инструкции, направленные на снижение уровней интерактивности элементов, обусловленных учебными процедурами. **Когда интерактивность элементов снижается за счет изменения учебных процедур, касающихся одной и той же информации, посторонняя когнитивная нагрузка снижается**.

Неявное предположение теории когнитивной нагрузки, основанное на принципе узких границ изменения, заключалось в том, что объем рабочей памяти относительно постоянен, и единственным важным фактором, влияющим на емкость, является содержание долговременной памяти. Как показывает принцип организации и связывания среды, ограничения рабочей памяти при работе с новой информацией могут быть устранены, если та же самая информация хранилась в долговременной памяти. Информация с высокой интерактивностью элементов, однажды сохраненная в долговременной памяти, может быть передана в рабочую память как **единый элемент**, который накладывает минимальную нагрузку на рабочую память. Основываясь на гипотезе истощения ресурсов рабочей памяти, исследованной в настоящей работе, предположение о том, что содержимое долговременной памяти является единственным важным фактором, определяющим характеристики рабочей памяти, может быть несостоятельным. 

Возможно, что обширные когнитивные усилия могут существенно истощить ресурсы рабочей памяти, и если это так, этот фактор может быть важным при разработке инструкций. Это возможное расширение теории когнитивной нагрузки служит обоснованием для текущих экспериментов. В этих экспериментах эффект интервала использовался для исследования возможных последствий истощения ресурсов рабочей памяти для обучения. 

!!!Эффект интервала 
Эффект интервала возникает, когда информация, которая представлена в течение более длительного периода с промежутками между эпизодами презентации, приводит к лучшему обучению по сравнению с идентичной информацией, представленной в течение более короткого периода без перерывов. Эффект иногда называют эффектом массированного или разнесенного. Это хорошо установлено с очень большим количеством повторений на протяжении многих десятилетий, восходящих к истокам экспериментальной психологии (Ebbinghaus, 1885/1964). Две недавние статьи, имеющие отношение к образованию, см. В Gluckman, Vlach, and Sandhofer (2014) и Kapler, Weston и Wiseheart (2015). 
Существует множество теорий, используемых для объяснения эффекта интервала, но не существует единого мнения, подтверждающего какую-либо конкретную теорию (см. Küpper-Tetzel, 2014), хотя Delaney, Verkoeijen и Spirgel (2010) в обширном обзоре отдают предпочтение теории поиска (::todo что имеется в виду под теорией поиска? Что-то типа поиска инфо самостоятельно и это будет эффективно для запоминания?::) на этапе исследования. Эта теория предполагает, что промежутки между учебными мероприятиями во время разнесенной практики увеличивают забывание по сравнению с массированной практикой. Как следствие, на следующем обучающем мероприятии для разнесенного обучения требуется более трудоемкий поиск, чем при массовом обучении, что способствует сохранению памяти, поддерживая более активный поиск. Эта теория правдоподобна, хотя дать ей прямые доказательства сложно. Конечно, вполне возможно, что эффект интервала имеет несколько причин. 

Мы полагаем, что истощение ресурсов рабочей памяти является убедительным кандидатом для объяснения по крайней мере некоторых версий эффекта интервала. Если массовая практика является непрерывной, мы можем ожидать, что истощение ресурсов рабочей памяти приведет к сокращению обучения во время практических занятий по сравнению с обучением с интервалом, что приведет к эффекту интервалов. Прямые доказательства этой гипотезы могут быть получены путем тестирования емкости рабочей памяти учащихся после массового или разнесенного обучения и непосредственно перед проведением теста содержания. 

Мы проверили эту гипотезу в двух экспериментах с учащимися начальной школы, изучающими математику. Было предсказано, что объем рабочей памяти будет уменьшен массированным по сравнению с разнесенной практикой, и что это сокращение объема рабочей памяти будет связано с эффектом разнесения. Ожидалось, что более сильное истощение ресурсов рабочей памяти после массовых тренировок приведет как к более низким показателям производительности (эксперименты 1 и 2), так и к более высоким оценкам воспринимаемой сложности в тесте емкости рабочей памяти (эксперимент 2). Учитывая исследование Healey et al. (2011), которые показали истощение только схожими стимулами, в обоих экспериментах мы использовали аналогичные математические изображения для практических задач, тестов рабочей памяти и тестов содержания. 

!!!Эксперимент 1
Это исследование было проведено в качестве первоначального исследования связи между эффектом интервалов и истощением рабочей памяти. Цель состояла в том, чтобы проверить гипотезу о том, что эффект разнесения вызван истощением рабочей памяти после массированной по сравнению с разнесенной практикой. Соответственно, мы предсказали, что массовое обучение приведет к более низким результатам тестирования контента, чем интервальное обучение, и что тест рабочей памяти, непосредственно предшествующий тесту контента, выявит большее истощение рабочей памяти для групповой группы, чем для «интервальной» группы.

!!!Методика
Участники. Из начальной школы в городском районе Чэнду, Китай, были выбраны два класса, в общей сложности 85 учеников 4-го класса со средним возрастом примерно 10 лет. Оба класса вел один и тот же учитель математики. Используя квази-экспериментальный план, один класс был назначен для массового обучения, а другой - для условий интервального обучения. Тринадцать студентов из условия массового обучения и 18 из условия разнесенного обучения были исключены из окончательного анализа, потому что они записывали задания на бумаге для последующего использования, а не запоминали информацию во время теста рабочей памяти. Таким образом, для анализа были использованы данные оставшихся 54 студентов (30 в групповом и 24 в разнесенных). Учащиеся и учителя двух классов не знали цели этого эксперимента. Содержание урока требовало от учащихся научиться складывать две положительные дроби с разными знаменателями, что ранее не изучалась в классе.

!!!Материалы
Материалы включали слайды для представления информации о сложении дробей, которую необходимо усвоить, тест рабочей памяти с листом ответов для этого теста и заключительный тест содержания знаний о сложении дробей. Учебные слайды состояли из трех проработанных примеров - пар решения задач в области алгебры, специально посвященных тому, как сложить две положительные дроби с разными знаменателями. Пример отработанного примера - пара решения проблемы показан на рисунке 1.
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Для каждой пары ученикам был представлен пример, показывающий все шаги решения, за которым последовала аналогичная задача, в которой им было предложено «вычислить следующее алгебраическое выражение», которое необходимо было решить. Все три рабочих примера - пары для решения задач были представлены в виде слайдов Microsoft PowerPoint 2016 на экране перед классом. Для каждой пары проработанный пример и задачи по решению проблем были представлены на разных слайдах, поэтому учащиеся не могли ссылаться на проработанный пример при решении парной задачи. Для обоих условий после того, как студенты попытались решить проблему, был предоставлен окончательный ответ без шагов к ответу. Каждый из 6 полученных слайдов был представлен в течение 150 с, что привело к общей продолжительности 900 с. 

На основе исследования Conlin, Gathercole и Adams (2005) был разработан комплексный тест рабочей памяти для детей с использованием слайдов PowerPoint. Этот тест рабочей памяти состоял из задачи памяти, прерванной задачей обработки. В этом случае задача памяти заключалась в том, чтобы запомнить первую цифру данного уравнения, в то время как задача обработки заключалась в том, чтобы ответить, показало ли это уравнение правильное или неправильное решение (см. Пример на рисунке 2). 

В тесте было четыре уровня сложности по три попытки в каждом, всего 12 испытаний. Уровни варьировались от трех до шести (уровень 3 включал три уравнения на испытание, а уровень 6 включал шесть уравнений на испытание). Как показано в примере уровня 3 на рисунке 2, после наблюдения за уравнением 1 участники указали, было ли решение показанного уравнения правильным или неправильным (отметив счастливое или грустное лицо, соответственно), запомнив первую цифру числа. уравнение. Затем было показано уравнение 2, студенты ответили, правильно оно или нет, запомнив первую цифру и так далее. В конце каждого испытания участники должны были записать по памяти все первые цифры уравнений в том порядке, в котором они были показаны. 27-страничный буклет (формат A4, напечатанный односторонний) был разработан для 
студентов, чтобы они могли записывать свои ответы. Для каждого испытания учащиеся использовали отдельные страницы, чтобы указать точность уравнений и запомненные первые цифры уравнений. 

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Как было предложено Unsworth, Heitz, Schrock, and Engle (2005), мы измерили производительность как в задачах памяти, так и в задачах обработки. Таким образом, одно очко начислялось за каждую точно запомненную первую цифру (в правильном порядке), и одно очко начислялось за точно оцененное уравнение. Другими словами, мы следовали рекомендации Conway et al. (2005) против оценки диапазона и подсчитали каждую правильную цифру, которую точно запомнили. Для каждого испытания, было ли каждое уравнение, представленное учащимся, правильным или неправильным, определялось случайным образом с ограничениями, согласно которым не менее одной трети уравнений были правильными или неправильными для данного испытания и что половина уравнений была правильной для всего теста. Внутренняя согласованность, оцененная с помощью коэффициента альфа Кронбаха, составила 0,96 для запомненных цифр и 0,88 для обработанных уравнений. После фазы обучения был проведен заключительный тест содержания с пятью задачами, например, рассчитайте 1/2 + 1/3. Для всех задач ученики должны были сложить два положительных результата дроби с разными знаменателями. Для решения проблемы требовалось четыре шага. Каждый правильный шаг отмечался одним баллом, в результате чего максимальная оценка за каждую задачу составляла 4 балла, а за все последующее тестирование из 5 задач - 20 баллов. Все исходные оценки были преобразованы в процент правильных оценок для анализа. [[Альфа Кронбаха — Википедия|https://ru.wikipedia.org/wiki/%D0%90%D0%BB%D1%8C%D1%84%D0%B0_%D0%9A%D1%80%D0%BE%D0%BD%D0%B1%D0%B0%D1%85%D0%B0)]] для этого пост-теста контента была 0,98.

!!!Процедура
Общая процедура включала три фазы: обучение, тест рабочей памяти и пост-тест (см. Рис. 3). Единственная разница между пространственными и массированными условиями заключалась в фазе обучения. В массовом режиме (класс A на рис. 3) учащимся были представлены учебные материалы в течение 900 секунд, после чего был проведен тест на рабочую память еще примерно на 900 секунд. Наконец, в течение последних 600 с проводился пост-тест. Полное вмешательство при массовом заболевании длилось около 40 минут и проводилось в рамках учебного времени обычного класса. В условиях с интервалом (класс B на рис. 3) вмешательство растянулось на четыре дня. В каждый из первых трех дней студенты должны были изучить один рабочий пример и затем решить аналогичную задачу за 300 секунд. Следовательно, общее время обучения составило 900 с. На четвертый день проводился тест на рабочую память (900 с) и пост-тест (600 с). 

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Для теста рабочей памяти был представлен слайд с общими инструкциями на 60 секунд, чтобы дать инструкции о том, как выполнять этот тест, за которым следовало практическое задание в течение еще 60 секунд. В тесте каждое уравнение каждого испытания показывалось в течение 5 секунд, а затем еще 5 секунд, чтобы учащиеся сразу же обводили счастливое или грустное лицо, чтобы указать, было ли каждое уравнение правильным или неправильным, соответственно. Для каждого испытания сразу после того, как была указана точность последнего уравнения, ученики должны были записать запомненные первые цифры по порядку, с выделением 2,5 с для каждой цифры. Общее время теста рабочей памяти составило 900 с для обоих условий.

!!!Результаты и обсуждение
Для анализа данных использовались три ANOVA, в которых условие (объединенное или разнесенное) было независимой переменной с использованием межгруппового анализа. Зависимыми переменными были (а) баллы по запомненным цифрам теста рабочей памяти (б) количество правильно классифицированных уравнений в тесте рабочей памяти и (в) оценки содержания после теста. Средние проценты и стандартные отклонения для этих зависимых переменных в зависимости от двух условий показаны в таблице 1. 

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Влияние условия было значительным для запомненных цифр рабочей памяти для классифицированных уравнений 2 теста рабочей памяти было значительным, F (1, 
52) = 8,314, MSE = 200,20, p = 0,006, η𝑃𝑃 = 0,138. Опять же, влияние условия было значительным для пост-теста, F (1, 52) = 6,305, MSE = 1793,71, p = 0,015, η𝑃𝑃 = 0,108. 

Эти результаты показали, что учащиеся в условиях с интервалом запомнили больше цифр, правильно классифицировали больше уравнений и набрали более высокие баллы на заключительном тесте, чем учащиеся в условиях группировки.

Цель эксперимента 1 состояла в том, чтобы проверить гипотезу о том, что на истощение ресурсов после когнитивных усилий влияет истощение рабочей памяти и что эффект интервалов, в свою очередь, был вызван различными эффектами истощения рабочей памяти после пространственного, а не массового обучения. 

Результаты подтвердили эту гипотезу. Мы воспроизвели эффект разнесения и, что более важно, указали, что он был связан с уменьшением ресурсов рабочей памяти для учащихся, представивших информацию в массовых, а не разнесенных условиях. 

Непосредственно перед тестом содержимого у массового условия было значительно меньше ресурсов рабочей памяти, чем у разнесенного условия. 
Однако с этим экспериментом были связаны две процедурные проблемы. Первая проблема заключалась в том, что в эксперименте использовался квази-экспериментальный план, а не полностью рандомизированный контролируемый эксперимент. Целые классы использовали в качестве экспериментальных групп. 

Для сохранения экологической значимости детей, изучающих реальные учебные материалы, было невозможно использовать рандомизацию. Мы облегчили эту проблему в эксперименте 2, используя уравновешенный дизайн, который может уравнять любые различия между классами. 

Вторая проблема заключалась в несоблюдении 31 студентом необходимой процедуры теста рабочей памяти. Указывая, было ли уравнение правильным или неправильным, эти студенты также записывали первое число уравнения, избавляя от необходимости запоминать его, поскольку требовалось задание на запоминание. Эти студенты были исключены из анализа данных. Эта проблема также была исправлена путем изменения процедуры эксперимента 2. 

!!!Эксперимент 2
Как и в случае с экспериментом 1, основная задача эксперимента 2 заключалась в том, следует ли модифицировать теорию когнитивной нагрузки, чтобы включить истощение ресурсов в качестве фактора при рассмотрении емкости рабочей памяти, вместо того, чтобы предполагать фиксированный объем рабочей памяти для каждого человека. Эффект интервала снова использовался для исследования этой проблемы, рассматривая связь между дистанционным обучением и истощением ресурсов рабочей памяти с той же гипотезой, что и в эксперименте 1. 

В эксперименте 2 учащиеся 5-го класса, изучающие алгебру, тестировались с двумя целыми классами. Было изучено два отдельных раздела алгебры с использованием уравновешивания, чтобы уменьшить влияние возможных классовых различий. Для первой области, изучаемой на неделе 1, классу A был представлен материал в форме большого количества, в то время как классу B был представлен материал в разнесенной форме, что повторяет экспериментальный план эксперимента 1. Для второй области, преподаваемой на неделе 2, режимы презентации были следующими. в обратном порядке: класс A был представлен материалом в разнесенной форме, тогда как класс B был представлен материалом в массивной форме. 

Затем данные могут быть проанализированы с использованием дисперсионного анализа 2 (Условие: массив против разнесенных) × 2 (Фаза испытания: неделя 1 против недели 2) с повторными измерениями второго фактора. Таким образом, любые различия между классами были устранены путем уравновешивания.

Вторым изменением процедуры было запретить студентам писать во время представления уравнений памяти. Вместо того, чтобы указывать, было ли уравнение правильным или неправильным сразу после того, как оно было замечено во время испытания, ученикам приходилось ждать, пока все уравнения для испытания были представлены, а затем вспоминать, были ли уравнения правильными или нет, непосредственно перед тем, как вспомнить первые цифры каждого уравнения. 

Студенты должны были обработать каждое уравнение и запомнить результаты этой обработки. Не позволяя им писать что- либо, пока присутствует уравнение, они не могут записать первую цифру. При тестировании они должны были вспомнить правильные и неправильные последовательности для этого испытания (например, правильные, неправильные, неправильные, правильные) и последовательность начальных чисел для каждого уравнения.

Третий вариант эксперимента 1 заключался в том, что мы собирали субъективные оценки сложности задач для теста рабочей памяти. Эти меры предоставили информацию о когнитивной нагрузке в дополнение к показателям рабочей памяти (см. Paas, 1992; Paas, Tuovinen, Tabbers, & Van Gerven, 2003).

!!!Методика
Участники. Для этого эксперимента были выбраны два класса, в общей сложности 82 ученика 5-го класса со средним возрастом примерно 11 лет из той же начальной школы, которая использовалась для эксперимента 1. Как и в эксперименте 1, на неделе 1 класс был назначен для условия массового обучения, в то время как другой класс был назначен для условия разнесенного обучения. На неделе 2, используя разные учебные материалы по алгебре, два класса были поменяны местами, при этом условие интервального обучения на неделе 1 стало условием массового обучения на неделе 2, и наоборот, что привело к уравновешиванию (см. Рисунок 4). 

Количество участников из каждого класса в каждую неделю можно найти в Таблице 2. Обратите внимание, что количество участников в Таблице 2 отражает только тех, кто принимал участие в обеих неделях. В то время как на первой неделе было 82 участника, только 61 из них в конечном итоге можно было использовать в статистическом анализе. Этот отсев был вызван тем фактом, что некоторые студенты должны были участвовать в подготовке к общенациональной олимпиаде по математике, а некоторые другие не записывали свои личные данные. 
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!!!Материалы
Как и в эксперименте 1, использовались слайды для фазы обучения, тест рабочей памяти с листом ответов для этого теста и пост-тест содержания алгебры. Существовали две отдельные версии слайдов этапа обучения для Недели 1 и Недели 2. Слайды Недели 1 учили студентов, как считать с отрицательными числами. 

Были представлены три пары отработанного примера - пары решения задач. Для каждой задачи пары ученикам было предложено: «Вычислите следующее алгебраическое выражение». На второй неделе слайды научили студентов решать дробные уравнения. Опять же, мы разработали три рабочих примера - пары решения проблем. Все рабочие примеры - пары решения проблем снова были основаны на компьютере с использованием того же времени презентации, что и в эксперименте 1. Примеры рабочего примера - пары решения проблем для недели 1 и недели 2 показаны на рисунке 5.
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Тест рабочей памяти имел две эквивалентные версии для эксперимента 2: версия A для недели 1 и версия B для недели 2. Каждая версия включала слайды PowerPoint, которые снова отображали математические уравнения в течение 5 секунд. Для каждого уравнения задача обработки заключалась в том, чтобы определить, было ли уравнение правильным или неправильным, но, в отличие от эксперимента 1, также запомнить правильные / неправильные последовательности. Задача запоминания цифр была идентична Эксперименту 1. 

Для всего теста половина уравнений была случайным образом признана правильной, а половина - неправильной. Альфа Кронбаха для запомненных цифр на неделе 1 и неделе 2 составляла 0,93 для обеих недель, тогда как для обработки уравнений на неделе 1 и неделе 2 альфа Кронбаха составляла 0,83 и 0,72 соответственно. В эксперименте 2 от всех студентов требовалось записывать ответы только после окончания каждого испытания. Они должны были записать все первые цифры в том порядке, в котором они были показаны, а затем указать по памяти точность математических уравнений в этом испытании. Как и в эксперименте 1, мы измеряли производительность как памяти первого числа каждого уравнения в каждом испытании, так и точности задач обработки, за исключением того, что была включена память точности последовательности уравнений для каждого испытания. Одно очко начислялось за каждую точно запомненную цифру (в правильном порядке), и одно очко начислялось за точно классифицированное и запомненное уравнение. 

С изменением процедуры тестирования теста рабочей памяти все учащиеся в этом эксперименте следовали инструкциям. В обеих версиях тестов рабочей памяти было пять уровней сложности по три попытки в каждом, что в сумме составило 15 попыток. Уровни варьировались от одного до пяти (Уровень 1 включал одно уравнение на испытание, а Уровень 5 включал пять уравнений на испытание). Перед тестами были даны инструкции и два практических задания из двух уравнений для каждого практического задания. 

Трехстраничный буклет (формат A4, напечатанный односторонний) был разработан для студентов, чтобы они могли записывать свои ответы на тесты на рабочую память. Этот буклет использовался на 1-й и 2-й неделях. На первой странице учащиеся указали свое имя и номер класса. В нем также были некоторые важные примечания для прохождения теста рабочей памяти, такие как «вы можете записывать свои ответы только для запомненных цифр, когда видите слайд с сообщением, пожалуйста, начните писать» и «вы не можете записывать свои ответы где-либо еще на этом листе ответов, кроме напечатанные пустые коробки ». Затем последовал раздел практики и разделы с Уровня 1 до Уровня 5. Для каждого раздела ученики должны были записать свое запоминание точности каждого уравнения в испытании после пустых полей для записи запомненных цифр по порядку. Таким образом, ученики должны были сначала записать заученные цифры по порядку, а затем указать по памяти точность ряда уравнений. Ответы на все разделы были записаны на второй и третьей страницах. В конце страницы 3 студентам была предоставлена 9-балльная симметричная категориальная шкала (Паас, 1992; Паас и др., 2003), чтобы оценить их воспринимаемую сложность теста рабочей памяти. Числовые значения и метки, присвоенные категориям, варьировались от очень, очень простой (1) до очень, очень сложной (9). Шкала была объяснена студентам на этапе обучения.

Заключительный тест с пятью вопросами по алгебре был представлен после фазы обучения на неделе 1 и неделе 2. На неделе 1 все вопросы представляли собой вычисления с отрицательными числами, например, вычислите (−5) - (−8) + (- 9), тогда как на второй неделе все вопросы касались как решить дробные уравнения, например, вычислите 𝑥𝑥 + 2 - 3𝑥𝑥 − 1 = 2. 23 максимальный балл за каждый вопрос составлял 4. Ответы на 1-й неделе требовали пяти шагов для решения, но только четыре ключевых шага (исключая шаг 3) были оценены, и каждому правильному шагу присваивалась одна оценка, давая в общей сложности 20 баллов. На 2-й неделе ключевые шаги 1, 3, 6 и 9 были оценены, что снова дало полную оценку 20. Все исходные оценки были преобразованы в процент правильных оценок для анализа. Для результатов тестирования были получены альфа-баллы Кронбаха 0,98 на 1-й неделе и 0,94 на 2-й неделе. 

!!!Процедура
За исключением указанного выше, общая процедура была такой же, как в эксперименте 1.

!!!Результаты и обсуждение
В этом эксперименте был использован дизайн 2 (состояние: массирование по сравнению с разнесением) × 2 (фаза тестирования: неделя 1 по сравнению с неделей 2) с повторными измерениями второго фактора. Как и в эксперименте 1, зависимыми переменными были количество запомненных цифр, правильно классифицированные уравнения и результаты тестирования. Средние проценты и стандартные отклонения для этих зависимых переменных в зависимости от двух факторов показаны в таблице 2. 

ANOVA, выполненный на запомненных цифрах теста рабочей памяти, не дал существенного основного эффекта условия (F <1, нс). Основной эффект недели был значительным, F (1, 59) = 17,081, MSE = 219,17, p <0,001, η2𝑃𝑃 = 0,225, что указывает на то, что количество запомненных цифр на неделе 2 было значительно выше, чем на неделе 1. Взаимодействие между условием 2𝑃𝑃 и фазой испытания было незначительным, F (1, 59) = 2,700, MSE = 219,17, p = 0,106, η = 0,044. 
ANOVA, выполненный с использованием средств обработки уравнений, дал важные основные влияние условия, F (1, 59) = 5,307, MSE = 64,04, p = 0,025, η2𝑃𝑃 = 0,083, что указывает на более низкую  количество правильно классифицированных уравнений в массе по сравнению с условиями обучения с интервалом. Основной эффект недели был значительным, F (1, 59) = 14,262, MSE = 46,07, p <0,001, η𝑃𝑃 = 0,195, показывая, что количество правильно обработанных уравнений на неделе 2 было значительно выше, чем на неделе 1. Взаимодействие между условием и фазой испытания было незначительным, F (1, 59) = 1,653, MSE = 46,07, p = 0,204, η𝑃𝑃 = 0,027. 

ANOVA, выполненный по среднему проценту правильных баллов на последнем тесте, выявил главный эффект условия, F (1, 59) = 4,074, MSE = 1550,13, p = 0,048, η𝑃𝑃 = 0,065, показывая, что учащиеся в распределенных интервалах Условия обучения получили более высокие баллы, чем студенты в условиях массового обучения, что свидетельствует об эффекте интервала. Основной эффект недели был значительным, F (1, 59) = 100,45, MSE = 688,26, p <0,001, η2𝑃𝑃 = 0,630, что указывает на то, что процент правильных оценок на пост- тесте на неделе 1 был значительно выше, чем у на неделе 2, предполагая, что материал и тест на неделе 2 были значительно более трудными, чем на неделе 1. Взаимодействие между условием и фазой теста не было значимым, F (1, 59) = 1,481, MSE = 688,26, p = 0,228 , η𝑃𝑃 = 0,024. 

Что касается шкал субъективных оценок во время теста на рабочую память, для анализа этих оценок был проведен дисперсионный анализ 2 (Условие: массив 
против разнесенных) × 2 (Фаза теста: неделя 1 против недели 2) с повторными измерениями второго фактора. воспринимаемой трудности. Средние значения и стандартные отклонения приведены в таблице 3. 

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Для субъективных оценок сложности основные эффекты условия, F (1, 59) = 18,574, MSE = 5,03, p <0,001, η2𝑃𝑃 = 0,239, и фазы тестирования, F (1, 59) = 55,383, MSE = 4,51, p <0,001, η2𝑃𝑃 = 0,484, были значимыми. Однако эти основные эффекты были квалифицированы по значительному 2 взаимодействию между условием и фазой испытания, F (1, 59) = 10,249, MSE = 4,51, p = 0,002, η𝑃𝑃 =.148. Взаимодействие показало, что ожидаемое снижение воспринимаемой сложности в зависимости от практики с 1-й по 2-ю неделю было значительно выше для студентов в массово-распределенном порядке, чем для студентов в разнесенном-массовом порядке. 

Массовая практика после интервальной практики воспринималась как более трудная, чем интервальная практика после массовой практики. Тот факт, что тест на рабочую память воспринимался как особенно простой, когда он следовал за практикой с интервалами на неделе 2, может быть связан с тем, что это условие было единственным, на которое  влияли эффект интервалов, эффект практики и эффект относительной сложности. Эффект практики заключается в том, что участники должны были воспринять вторую попытку теста рабочей памяти как менее трудную, чем первую попытку. Эффект относительной сложности заключается в том, что интервальная практика будет восприниматься как менее трудная после массовой практики, чем интервальная практика до массовой практики. Результаты эксперимента 2 подтверждают результаты эксперимента 1. 

Эффект разнесения связан с большим истощением ресурсов рабочей памяти после массового представления по сравнению с разнесенным представлением. Эти результаты предполагают возможное причинное объяснение эффекта разнесения. Что еще более важно, они предполагают, что истощение когнитивных ресурсов, по крайней мере при некоторых обстоятельствах, можно охарактеризовать как истощение ресурсов рабочей памяти. 

!!!Обсуждение
Некоторые выводы вытекают из результатов двух экспериментов, представленных в этой статье. Результаты подтверждают общий вывод о том, что истощение ресурсов, которое происходит после когнитивных усилий, можно охарактеризовать как истощение ресурсов рабочей памяти, по крайней мере, при некоторых обстоятельствах. В обоих экспериментах тесты на объем рабочей памяти значительно снизились сразу после когнитивной нагрузки по сравнению с введением периодов отдыха во время обучения и перед тестом рабочей памяти. 

Дополнительные свидетельства в поддержку объяснения истощения ресурсов рабочей памяти были предоставлены в эксперименте 2 посредством взаимодействия, показывающего более высокие оценки воспринимаемой сложности в тесте рабочей памяти после массированной практики (наблюдаемой в условиях массированных интервалов). Потребуется дополнительная работа, чтобы установить, является ли истощение рабочей памяти единственной причиной истощения ресурсов или существуют и другие возможные причины. 

Результаты также предполагают, что эффект разнесения, который многократно воспроизводился на протяжении многих десятилетий, можно напрямую отнести к истощению ресурсов рабочей памяти. В настоящее время, хотя эффект интервала эмпирически установлен, нет единого мнения относительно его причины (например, Benjamin & Tullis, 2010; Delaney et al., 2010). Многие исследования, связанные с этим эффектом, больше касаются его эмпирических и, в меньшей степени, практических характеристик, а не его теоретического контекста (Küpper-Tetzel, 2014). Наши результаты предоставляют как эмпирические доказательства, так и теоретический контекст по крайней мере для некоторых версий эффекта. Они, конечно, не исключают возможности того, что эффект имеет несколько причин в разных условиях. 

Как отмечают Kapler et al., демонстрация эффекта интервала с использованием студентов в реальных условиях класса, изучающих соответствующие учебные материалы, а не в лабораторных условиях с использованием искусственных материалов, является редкостью. (2015). Обычно предполагается, что эффект имеет образовательное значение, но редко проверяется в образовательных контекстах и, похоже, имеет небольшое практическое воздействие. Дополнительные демонстрации эффекта в классе, а не в лабораторных условиях могут быть важны. 

Важный вопрос касается одного из наших экспериментальных проектных решений. В обоих экспериментах и тесты рабочей памяти, и тесты содержания для разнесенных условий проводились через день после последней фазы обучения, а не сразу после последней фазы обучения, как это было для групповой группы. Мы использовали эту процедуру, потому что наша основная причина проведения экспериментов заключалась в том, чтобы определить, следует ли сохранить предположение о фиксированной емкости рабочей памяти в соответствии с теорией когнитивной нагрузки. Чтобы от него отказаться, нам нужны были доказательства того, что объем рабочей памяти снижается после когнитивных усилий и увеличивается после отдыха. 

Процедура, которую мы использовали, могла предоставить это доказательство. Конечно, поскольку задержка в тестировании может привести к увеличению забвения, что приведет к снижению производительности разнесенных групп, эта процедура потенциально скомпрометировала свидетельство эффекта разнесения. Тем не менее, задержка в тестировании для разнесенных групп не помешала обычному эффекту разнесения в любом эксперименте, несмотря на потенциальную предвзятость по отношению к разнесенным группам. 

Как указано выше, основная цель проведения текущих экспериментов состояла в том, чтобы предоставить данные, которые помогут определить, следует ли сохранить или отказаться от предположения о фиксированной емкости рабочей памяти, используемой теорией когнитивной нагрузки, в пользу предположения об истощении рабочей памяти после когнитивных усилий. . Текущие результаты показывают, что необходимо отказаться от предположения о фиксированной рабочей памяти. В таком случае такое изменение должно иметь серьезные последствия и привести к значительному расширению теории когнитивной нагрузки. 

До сих пор в рамках принципа узких границ изменения теория неявно предполагала фиксированный объем рабочей памяти для любого человека. Конечно, эта способность может быть значительно увеличена, если исходить из принципа организации и связывания окружающей среды. В среде, где можно использовать информацию, хранящуюся в долговременной памяти, путем переноса этой информации из долговременной в рабочую память происходит значительное увеличение емкости рабочей памяти. Тем не менее, в отсутствие этой сохраненной ранее полученной информации предполагалось, что для любого конкретного человека объем рабочей памяти по существу фиксирован. Исходя из текущих данных, это предположение несостоятельно. Емкость рабочей памяти может варьироваться в зависимости не только от предыдущей информации, хранящейся в хранилище информации, заимствования и реорганизации и случайности как принципов генезиса, но также и от истощения ресурсов рабочей памяти из-за когнитивных усилий. 

Основываясь на истощении ресурсов рабочей памяти, могут появиться значительные возможности для расширения теории когнитивной нагрузки и обучающих эффектов, которые она создает. Принцип узких границ изменения предполагает, что для сохранения содержимого долговременной памяти в любой момент времени могут обрабатываться только очень ограниченные объемы новой информации. Возможно, нам придется добавить к этому принципу, что предел еще больше сужается после когнитивных усилий, но расширяется после отдыха. Это расширение должно привести к новым учебным гипотезам. 

Эффект интервала представляет собой первую часть этого расширения теории когнитивной нагрузки. Насколько нам известно, эффект никогда ранее не объяснялся в рамках теории когнитивной нагрузки, и действительно, без расширения, предоставляемого концепцией истощения ресурсов рабочей памяти, теория когнитивной нагрузки не могла объяснить этот эффект. 

Есть много вопросов, которые требуют изучения при рассмотрении истощения ресурсов рабочей памяти, теории когнитивной нагрузки и эффекта интервалов. Например, сколько когнитивных усилий и как долго должны быть выполнены когнитивные усилия, прежде чем произойдет значительное истощение? Какова скорость, с которой последствия истощения ресурсов обращаются вспять когнитивным отдыхом, и существуют ли условия, при которых это обращение может быть ускорено? Несмотря на большое количество эмпирических исследований эффекта расстояния, похоже, нет единого мнения по этим вопросам. 
Другой вопрос касается природы истощения ресурсов рабочей памяти. Требуется ли полный отдых или отдых нужен только для того типа познавательной деятельности, который вызвал истощение ресурсов, при этом изменения в познавательной деятельности имеют такой же эффект, как и отдых? Есть некоторые возможные свидетельства (Rohrer & Taylor, 2007), что полезно ставить ученикам различные математические задачи, а не группировать их в одну категорию. В то время как Рорер и Тейлор (2007) связывают свою процедуру и результаты с эффектом разнесения, группируя вместе похожие проблемы, классифицируемые как массовая практика и смешение, или, используя их термин, «перемешивание» проблем, классифицируемых как разнесенные презентации, экспериментальный план и результаты, вероятно, больше напоминают парадигму эффекта изменчивости (Paas & van Merriënboer, 1994). 

В заключение, характеристика истощения ресурсов как истощение рабочей памяти, добавление истощения рабочей памяти к теории когнитивной нагрузки и использование теории когнитивной нагрузки для объяснения эффекта интервалов может иметь как теоретические, так и образовательные значения. Хотя требуется значительно больше исследований, эти первоначальные эмпирические результаты обнадеживают.

---

!!!References


Extending Cognitive Load Theory to Incorporate
Working Memory Resource Depletion: Evidence from the Spacing Effect
Драматургами, романистами и лекторами могут использовать известные формы, чтобы упростить свою работу. Они могут развертывать предыдущие шаблоны, инструменты, методологии и т.д. при решении проблем или оценке своей работы.

Напротив, если вы хотите создать  [[Реализованный опыт]], вы в основном начинаете в дикой природе. Есть несколько ключевых исключений: у геймдизайнеров есть шаблоны для эстетического опыта в своей форме; организационный дизайн имеет шаблоны для создания командной культуры и практики с помощью принятого опыта.
Могут существовать методы и процессы, которые лежат в основе практики обеих этих областей и могут дать общие подходы к созданию принятого опыта. Это было бы захватывающе, потому что  [[Реализованный опыт может стимулировать активное участие в благоприятных условиях]]
Принятый опыт - это опыт, который участники чувствуют, что они сами создали/получили, но который, на самом деле, в значительной степени является конкретным выражением намерений автора. 
*принятый опыт - это авторский опыт, который выполняется (часто бессознательно) другими, как бы принимается ими*.

Это похоже на тщательное продумывание встречи и манипулирование. 

Это мощный механизм, потому что  [[Глубокое понимание требует (и является результатом) интенсивной личной связи]].

!!!Примеры и контрпримеры
Многие элементы партии  [[Y Combinator]] являются принятыми: тщательно организованные ужины, сроки, давление и т. д. объединяются для получения предполагаемого опыта. Опытные профессионалы часто создают принятый опыт на встречах: они структурируют повестку дня и структуру так, чтобы участники неизбежно пришли к желаемым убеждениям или выводам, но каждый человек почувствует, что он сделал это для себя.
Хорошие видеоигры структурированы таким образом, что в любой момент игроки чувствуют, что их совокупные действия создали их нынешний опыт. И они чувствуют, что их текущие действия *воплощают*будущий опыт - они приведут в жизнь эти государства. Этот смысл будет возникать в любой [[Среда участия]], но в играх дизайнеры могут осуществлять сильный авторский контроль над опытом*, который*будут осуществлять игроки.

Гейм-дизайнеры, такие как Дженова Чен, Фрэнк Ланц и Джонатан Блоу, создают скрипки, которые "играют своих игроков". Они создают среду, в которой игроки нажимают кнопки, и игроки интуитивно чувствуют, что они делают в каждый момент времени, но кнопки расположены таким образом, что действия игроков, как правило, создают именно тот желаемый опыт. В хороших играх игроки почувствуют, что они приняли авторский опыт, даже когда у них не было настоящего агентства. Это дает геймдизайнерам уникальные возможности для самовыражения:  [[Игра - это эстетическое средство действия]].

Это необычное свойство для медиа-формы. В кино и книгах зритель/читатель в любой момент чувствует, что автор создал этот момент. Если работа выполнена очень умело, зритель/читатель может почувствовать, что *персонажи*или их окружение создали этот момент. Но зрители/читатели, конечно, не чувствуют, что *их*действия создали момент.
Ближайшим неигровым медиа-аналогом может быть захватывающий театр, но участие часто слишком пассивно, чтобы создать этот эффект.
Программные среды являются участниками, и пользователи, как правило, считают, что они привносят опыт в эти системы, но этот опыт обычно не является контролируемым выражением намерений разработчика программного обеспечения. Таким образом, программные среды редко создают опыт.

!!!Элементы

* Определенно, любая среда, которая производит принятый опыт, должна быть [[Среда участия]].
* [[Реализованный опыт требует причинно-следственной связи, ориентированной на участника]] 
* [[Реализованный опыт требует блокировки действий участников]]
* [[Реализованный опыт требует жестких циклов действия и обратной связи]] 

Многие принятые опыты используют [[Метакогнитивная поддержка как как когнитивная опора]]  в качестве [[Когнитивный каркас]], чтобы направить участников к желаемому опыту, но не все это делают. Воспроизведение произведения из нот и выполнение рецепта являются примерами принятого опыта, который может не включать в себя строительные леса.
[[Реализованный опыт существует в спектре участия и авторского контроля]]
 
!!!Вызовы

*  [[Реализованные опыты сложно описать]] 
*  [[Реализованный опыт трудно распространять]]

!!!Перспективы

*  [[Реализованный опыт может стимулировать активное участие в благоприятных условиях]]
*  [[Реализованный опыт имеет невероятный потенциал в качестве массовой среды]] 
Я считаю, что можно создать  [[Реализованный опыт]]  с основной целью передачи идей, ценностей и практик - по-равно выполнять «работу» книги. Это мощное предложение, потому что [[Реализованный опыт может создать интенсивную личную связь с авторизованными целями]] а  [[Реализованный опыт может стимулировать активное участие в благоприятных условиях]].


!!!Проспекты:

* Ученичество и другие социальные институты (например, YC) сделайте это сегодня, но это не формы средств массовой информации ( [[Реализованный опыт трудно распространять]])
* Видеоигры являются массовой средой, но они используются почти исключительно для передачи эстетического опыта, а не как часть благоприятной среды.
* Приложения для медитации являются многообещающим справочником:  [[Приложения для медитации с гидом обеспечивают принятый опыт в массовой среде]] 
Я вижу в этом одну из основных идей  [[The Primer++]]
Похоже, здесь существует некоторая существенная напряженность, так как  [[Взаимодействие - это центр затрат в дизайне интерфейсов]].
Создатель [[Реализованный опыт]] может вызвать сильную личную связь с конкретным опытом, который он создал. Одно важное следствие: [[Реализованный опыт усиливает силу повествования]].

В «Путешествии», например, игроки мало что могут сделать, кроме как идти вперед в гору. Последовательность окружений, которые они пересекают, тщательно продумана, чтобы большинство игроков пережили эмоциональное путешествие героя, завершающееся перерождением и божественным превосходством. Это не пассивный опыт: игрок делал каждый шаг с персонажем. Так что восхождение персонажа ощущается особенно глубоко.

Великие фильмы и книги могут быть очень трогательными, но ставки, которые я чувствую в этих СМИ, далеко не так высоки. Я сочувствую персонажам, но не становлюсь ими . Нет никаких непредвиденных обстоятельств; Я ничего из этого не делаю; ничего, что я могу сделать, ничего не изменит.

Социальная среда может создавать интенсивные личные связи, но, как правило, не с конкретным авторским опытом.

Точно так же программные среды могут создавать интенсивные личные связи, но обычно они не связаны с конкретным авторским опытом. Полосы Snapchat - один интересный контрпример.

!!!References

Thatgamecompany, Inc. (2012). Journey. Retrieved from http://thatgamecompany.com/journey/
[[Благоприятная среда сосредоточена на том, что включено]], но  [[Новички в благоприятных средах часто не умеют делать то, что разрешено]]. Хорошо продуманный  [[Реализованный опыт]] может позволить участникам немедленно испытать //то, что позволяет среда.//

Например, скажем, у компании-разработчика программного обеспечения есть специальная инфраструктура тестирования, которая позволяет их инженерам уверенно вносить большие изменения. Менеджер может представить нового инженера в эту инфраструктуру, назначив ему функцию, которая, как известно менеджеру, потребует изменения хорошо протестированного кода. Инженер увидит, что соседний код содержит ссылки на фреймворк тестирования, и соответствующим образом интегрирует свою новую функцию. Обзор кода может создать полезные обсуждения тестов. Инфраструктура тестирования позволяет инженеру уверенно приземлить свою новую функцию. Благодаря этому опыту он может легко протестировать будущие функции.

Для сравнения, представьте, что менеджер этого не сделал. Кто-то другой просит инженера расширить функцию, которая еще не использует специальную инфраструктуру тестирования. Инженер может не думать об использовании. Кто-то может указать ему на это в обзоре кода и отправить ему вводную документацию, но чтение - это деятельность *по*его цели, поэтому он менее связан с ней. Он пытается просто погрузиться, но считает инфраструктуру тестирования сложной для интеграции, так как у его модуля нет примеров для изменения.
К сожалению, [[Реализованный опыт]], трудно найти, и [[Реализованный опыт трудно распространять]]. Тем не менее,  [[Реализованный опыт имеет невероятный потенциал в качестве массовой среды]]. Я вижу в этом центральное обещание таких средств массовой информации, как Primer: [[Primer ++ встроен в поле, стимулируя участие через принятый опыт]].
Случайность важна для создания [[Реализованный опыт]].

«Состояние по умолчанию» игры - это такое, которое блокирует действия игрока. Сюжет, битва, строительство и т. Д. Просто не начнутся, пока игрок не выполнит действие. Время от времени игра может «брать под свой контроль» и разворачивать повествование без участия игрока, но она не может делать это слишком долго, прежде чем нарушит ощущение разыгрывания.

Взгляните на этот памятный отрывок из Diamond Age :

Потом она поняла, что в книге давно ничего не сказано. «Что случилось потом?» - спросила она. Иллюстрированный букварь юной леди ничего не сказал. «Нелл искала безопасный путь вниз», - написала Нелл. Ее точка обзора начала двигаться. Появился участок снега. «Нет, подожди!» - сказала она, - «Нелл набила немного чистого снега в свои бутылки с водой» (стр. 308).

The Primer давал Нелл все больше и больше контроля по мере развертывания глав. С этого момента истории Праймер-Нелл никуда не пойдет, если настоящая Нелл не скажет ей об этом.

Я подозреваю, что это свойство - одна из причин, по которой участники иммерсивного театра часто не чувствуют, что они разыгрывают процесс.

---

!!!References
Stephenson, N. (2003). The Diamond Age: Or, a Young Lady’s Illustrated Primer (Reprint edition). Spectra.
Чтобы создать [[Реализованный опыт]], петли обратной связи должны быть достаточно плотными, чтобы поддерживать восприятие, которое участники вызывают в опыте. Узкие петли обратной связи, в свою очередь, требуют, чтобы действия были достаточно детализированными.

Рассмотрите возможность самостоятельного выбора приключенческих книг и интерактивной художественной литературы в стиле Infocom. В последнем случае ставки намного выше, но среда на самом деле очень похожа, хотя Zork работает на компьютере. Я подозреваю, что мое ощущение «единства с Zork» исходит из его более тонких петель обратной связи и большего пространства состояний.
Чтобы создать [[Реализованный опыт]], должна существовать внутренняя связь между действиями участников и последующим опытом. Эта связь не требует истинной свободы воли. Важно только, чтобы участники интуитивно чувствовали, что их действия вызывают некоторую значительную часть опыта - по крайней мере, до тех пор, пока они не думают об этом слишком внимательно.

Большинство игр поддерживают это чувство на протяжении большей части опыта. Часто нормально, если опыт перемежается кат-сценами, которые игрок не контролирует. Пока игрок чувствует, что они вызвали события до и после кат-сцены, это будет интегрировано (до некоторой степени) в более широкое ощущение причинной связи.

Это требование является одной из основных причин, почему интеллектуальные системы обучения редко создают разыгрываемый опыт. ITS может быть средой участия , но причинно-следственная реакция находится в системе, а не в ученике. Восприятие ученика таково, что автомат скармливает ему бесконечный поток задач. У них есть смутное представление о том, что их ответы на эти задачи определяют, какие задачи будут следующими, но причинно-следственная связь происходит внутри черного ящика системы, а не как часть механизма, который они запускают.

Точно так же вопросы и задания из учебников могут спровоцировать разыгрываемый опыт, если читатель выполняет их, но внутренне переживание обычно ощущается как «выполнение того, что говорит автор». Я думаю, что это связано со значительным разделением между авторским контекстом (книга) и средой выполнения (лабораторный эксперимент, бизнес и т. д.).

Соответственно, хотя и не идентично: [[Реализованный опыт требует блокировки действий участников]].
Если вы хотите объяснить какую-то идею, вы можете написать эссе и поделиться им с миллионом человек. Если вы хотите включить людей с помощью нелинейного редактирования видео, вам не нужно строить завод: вы можете распространять программное обеспечение по нулевой предельной цене. Напротив, у нас мало общих инструментов для дешевого массового распространения [[Реализованный опыт]].

Это позор, потому что я вижу в них ключевой элемент проектирования  [[Благоприятная (стимулирующая) среда]]:  [[Реализованный опыт может стимулировать активное участие в благоприятных условиях]].
Традиционный подход социальный. Культурные старейшины создают обряды прохождения для молодежи. [[Y Combinator]] проектирует свои ужины и мероприятия, чтобы создать определенный опыт для основателей своими действиями. В социально распределенном опыте *люди*являются средой. Своими действиями посредники создают и поддерживают среду, которая дает принятый опыт для участника. Это облегчение дорого и подвержено ошибкам, поэтому этот подход используется экономно.

По крайней мере, для эстетического опыта игры регулярно умудряются распространять принятые опыты через другую среду: программное обеспечение. Это важный шаг, потому что программное обеспечение может быть дешево массово распределено, предоставляя отдельным авторам огромные рычаги влияния. Методы геймдизайнеров еще не широко используются для распространения неэстетического опыта. Но, возможно, они могут быть: [[Реализованный опыт имеет невероятный потенциал в качестве массовой среды]].
Повествование является мощным инструментом как потому, что оно создает эмоциональную вовлеченность, так и потому, что оно может поддерживать понимание ([[Повествование как когнитивная опора]]). Повествование можно сделать еще более мощным, превратив его в [[Реализованный опыт]], потому что [[Реализованный опыт может создать интенсивную личную связь с авторизованными целями]].

В Portal и Bioshock, например, запоминающееся повествование вплетено в последовательность окружения, появления персонажей и доступных взаимодействий. В отличие от таких игр, как Final Fantasy, в которых история в значительной степени отделена от игрового процесса и представлена ​​больше как фильм, повествования Portal и Bioshock кажутся следствием действий игрока.
[[Системы памяти с интервалом повторения делают выбор в пользу памяти]], но для этого необходимо, чтобы люди усвоили привычку регулярно практиковать память. А принятие любой новой регулярной привычки - это бремя для большинства людей. Но большинство людей находят это довольно неприятной привычкой: наизусть просматривать карточки, которые могут напоминать школьные.

Таким образом, успешная [[§Система интервального повторения]] должна немедленно принести значительную личную ценность, чтобы преодолеть этот барьер для принятия. Большинство систем этого не делают: это пустое поле, предназначенное для заполнения пользователем. Но [[Трудно написать хорошие подсказки для интервального повторения]], поэтому большинство пользователей начальные сеансы проверки будут включать небольшое количество посредственных подсказок. И [[Системы памяти с интервальным повторением не сразу демонстрируют свои преимущества]]. Итак, люди перестают пользоваться сервисом.

::Мы часто встречаем людей, которые говорят: «О, я думал, что повторение с интервалами - это здорово, и я пробовал Anki и т. д. , Но у меня это не работает». Если копнуть немного глубже, выяснится, что человек использует свою систему памяти способом, который гарантированно потерпит неудачу. Они будут писать ужасные вопросы, использовать их для изучения темы, которая их не волнует, или делать другие ошибки. Они немного похожи на человека, который думает, что «обучение игре на гитаре звучит здорово», берет ее на полчаса, а затем кладет, говоря, что они звучат ужасно и, следовательно, это плохой инструмент. Конечно, на самом деле происходит то, что и гитара, и система памяти - это навыки, на развитие которых нужно время.
(Matuschak and Nielsen, 2019)

!!!References

Matuschak, A., & Nielsen, M. (2019, October). How can we develop transformative tools for thought? https://numinous.productions/ttft

В [[§Система интервального повторения]] ключевой ввод в систему управления: правильно ли пользователь запомнил подсказку? Некоторые системы оцениваются самостоятельно: пользователь указывает, запомнили они или нет. Другие просят пользователя ввести ответ; затем система вычисляет, был ли пользователь прав.

Системы с самооценкой превосходят по эффективности системы с машинной оценкой по многим параметрам.

* Преимущества самогрейдинговых систем
** [[Системы интервального повторения с самооценкой более эффективны, чем аналогичные системы с машинной оценкой]].
** [[Системы интервального повторения с самооценкой избегают ложноотрицательных результатов]]
** [[Системы интервального повторения с самооценкой интервалов повторений позволяют использовать более широкий спектр подсказок]].

* Преимущества машинно-градуированных систем
** [[Системы интервального повторения с машинной градацией могут выполнять более сложное моделирование знаний]]
Интересно, что [[Все коммерчески успешные системы памяти интервального повторения имеют машинную оценку]].

!!!Скрытый и открытый ответ
Эти две задачи психологически разные. В литературе по когнитивной науке это называется «скрытой» и «открытой» поисковой практикой соответственно. Можно представить, что практика открытого поиска лучше поддерживает долговременную память, поскольку позволяет избежать ошибок / неверных указаний по самопроверке и требует сочетанных двигательных действий (motor action).

Линдси (2014, гл. 6) провела серию экспериментов, сравнивающих скрытую и явную практику поиска (по ассоциациям слов на суахили, старшекурсники, максимальный интервал поиска в одну неделю), и не обнаружила явного победителя.
	
!!!References
Lindsey, R. (2014). *Probabilistic Models of Student Learning and Forgetting*. University of Colorado.
Накопление вкладок, сохранение PDF-файлов и создание закладок кажется прогрессом, но мы систематически переоцениваем его ценность. [[Понимание требует активного вовлечения]]; вряд ли вы получите много понимания из папки с почти непросматриваемыми PDF-файлами.

Мы собираем материал, потому что это легко и потому, что он подавляет беспокойство о том, что мы никогда больше не найдем то, на что смотрим.  Но на самом деле мы часто просто усугубляем ситуацию, закапывая важные материалы в тонны вторичного материала, который мы просто «не хотим терять». Это понятие контрастирует с тем, что [[Знания должны срастаться]].

[[Кристиан Титеце предлагает:|https://zettelkasten.de/posts/collectors-fallacy/]]

Это первый шаг к преодолению заблуждения коллекционера: //осознать, что наличие текста под рукой ничего не делает для расширения наших знаний//.
Вместо этого мы должны [[Пишите о том, что вы читаете]], потому что [[Написание вечнозелёных заметок помогает накапливать усилия по чтению]]. И чтобы помочь эффективно управлять собой ([[Неэффективная практика написания заметок дает слабую обратную связь]]), мы должны обрабатывать собранные материалы в короткие циклы итерации, а не позволять им накапливаться в течение длительных периодов времени.

!!! Ссылки
[[Заблуждения коллекционера * Метод Zettelkasten|https://zettelkasten.de/posts/collectors-fallacy/]]

Потому что «знать о чем-то» - это не то же самое, что «знать что-то». Простое знание о предмете - менее чем поверхностное, поскольку знание о предмете - это просто уверенность в его существовании, не более того. В конечном итоге это ложное знание мешает нам на пути к истинному совершенству. Пока мы не объединим содержание, информацию, идеи и мысли других людей в наши собственные знания, мы ничего не узнаем. Мы не меняемся, если не учимся, поэтому простое хранение вещей ни к чему не приведет.
Точно так же, как ксерокопирование само по себе вознаграждает и вызывает привыкание, я утверждаю, что мы попадаем в ту же ловушку ложного комфорта, когда делаем закладки веб-страниц и сортируем закладки по папкам или помеченным категориям. Добавление веб-страницы в закладки - это удовлетворение, потому что мы избавляемся от страха потерять доступ к информации.
Я подробно рассказываю в  [[другом посте|https://zettelkasten.de/posts/reading-web-rss-note-taking]]. 

Это первый шаг к преодолению заблуждения Коллекционера: осознать, что наличие текста под рукой никак не увеличивает наши знания.  Вместо этого мы должны работать с этим.  Одного чтения недостаточно: мы также должны создавать заметки, чтобы создавать настоящие, устойчивые знания.

Особенно, когда мы начинаем исследовать что-то новое, Эко рекомендует читать и выделять тексты сразу после создания копий.  Если в ближайшее время мы научимся обрабатывать ксерокопии текстов, мы почувствуем, с каким объемом мы действительно справимся.

''Более короткие циклы исследования, чтения и усвоения знаний лучше, чем длинные''. С каждым полным циклом от исследования до усвоения знаний мы узнаем больше об этой теме.  Когда мы знаем больше, наши решения становятся более осознанными, поэтому наши исследования становятся более эффективными.  Если, с другой стороны, мы возьмем домой большую стопку материала для чтения и обработки, некоторые из них окажутся бесполезными после того, как мы закончим отдельные части стопки.
[[Средствам массовой информации в основном не хватает авторского измерения времени, превышающего сутки]]. Это кажется мощным авторским аспектом для исследования, как показано, например, на примере [[Приложения для медитации с гидом естественным образом распространяются со временем]].

Мы можем называть тексты с авторским измерением времени временными текстами.

* [[Мнемоническая среда удерживает читателей в контакте с материалом с течением времени]].
* [[Мнемоническая среда может быть адаптирована для создания опыта, который разворачивается во времени]].
** [[Мнемонические тексты могут быть сериализованы небольшими частями с течением времени, приурочены к воспоминаниям читателя]] (например , [[Уроки Execute Program не открываются, пока вы не проверите их предварительные требования]])
Ежедневная практика с [[§Система интервального повторения]] должна быть жизненно важной и актуальной. Если за какое-то время не было добавлено много новых запросов, ежедневные сеансы проверки начинают казаться застрявшими в прошлом, оторванными от того, о чем вы думаете прямо сейчас. Похоже, что это обычная проблема для новых пользователей, которые в порыве первоначального энтузиазма добавляют сразу много новых подсказок, а затем им скучно, когда они все еще просматривают те же самые подсказки (и никакие другие) спустя несколько месяцев.
!!!References

Matuschak, A., & Nielsen, M. (2019, October 0). [[How can we develop transformative tools for thought? https://numinous.productions/ttft
]]
Исторически сложилось так, что работа над инструментами мышления была сосредоточена главным образом на познании; большая часть работы застряла в Спок-пространстве. Но он должен относиться к эмоциям так же серьезно, как лучшие музыканты, режиссеры и дизайнеры видеоигр. Мнемоническое видео - многообещающее средство для таких исследований, возможно, сочетающее в себе глубокую эмоциональную связь с детальным интеллектуальным мастерством, к которому стремится мнемоническая среда.
Этот стиль чтения подчеркивает широкое чтение в литературе, ориентированной на синтез, а не на анализ. Вместо того, чтобы просто пытаться «примириться» с автором, то есть глубоко понять их концептуальную основу, читатель пытается «довести автора до терминов», то есть переконтекстуализировать работу автора по отношению к собственным теориям и развивающимся идеям читателя.
Одним из общих контекстов для этого стиля чтения является обзор академической литературы.

!!!Ссылки
Адлер, М. и ван Дорен, С. (1972).*Как читать книгу*. Simon & Schuster, Inc.
На протяжении десятилетий компьютерные операционные системы поставлялись с предсказуемым набором инструментов управления личной информацией: адресной книгой, календарем, почтовым клиентом, некоторыми базовыми функциями создания заметок, файлами и папками и т. Д. Они структурированы иначе, чем разрозненные ». приложения », которые обычно стремятся охватить некоторый рабочий процесс от начала до конца. Это базовое программное обеспечение ОС является более универсальным, и каждое из них является одновременно инструментом и службой, связанными со всей ОС посредством интеграции на основе API. Вы добавляете событие в свой календарь из сообщения электронной почты, автоматически заполняете имя контакта в приложении чата, сохраняете и открываете файлы в одной папке из многих приложений и т. Д.

Что, если бы существовала [[§Система интервального повторения]] «уровня ОС»? Что, если бы вместо того, чтобы жить «внутри обувной коробки приложения», как в Anki и других существующих инструментах, подсказки были бы больше похожи на файлы в папках - с возможностью чтения и записи во всей системе?

В веб-статьях могут появляться чередующиеся подсказки, написанные автором, как в [[Мнемоническая среда]], или, возможно, читателями, как в Genius / Hypothesis. Вы должны импортировать эти подсказки по мере чтения, так же как ваш браузер формирует историю, когда вы читаете.

Аннотации вашего PDF-файла и читателя электронных книг могут, естественно, отображаться в этой централизованной SRS, а не оставаться изолированными на какой-то недоступной боковой панели.

Когда вы делаете заметки на ежедневных встречах, вы можете пометить ключевые идеи специальным тегом, чтобы передать их этой системе (как в случае с [[Мнемоническая среда может быть расширена до личных заметок]]) - возможно, панель форматирования будущего текстового процессора будет включать кнопки для жирный, курсив, подчеркнутый… и «на рассмотрение».

Подобно тому, как современные операционные системы могут создавать предварительные события календаря или контакты на основе сообщений чата или электронной почты, система может создавать предварительные запросы SRS на основе ссылок, которые вы добавили в закладки, или фраз, которые вы неоднократно искали.

Но эти идеи становятся гораздо более интересными, если вы думаете о SRS как о гораздо большем, чем запоминание (см. Раздел [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]]), и еще более мощными, если учесть, что [[Системы интервального повторения могут использоваться для программирования внимания]].

Например, вы можете сегодня поднять свои умные часы и сказать: «Напомните мне написать о моей идее о том, что SRS может быть оформлена как услуга уровня ОС». Это разовое напоминание. Но с этой SRS на уровне ОС вы могли бы поднять часы и сказать: «Не забудьте подумать: какие новые контексты могут выиграть от службы SRS на уровне ОС?» Это создало бы не одноразовое «дело», а побуждение к повторным размышлениям с течением времени. (См. Раздел [[Интервальное повторение может быть полезным инструментом для постепенного развития догадок]] для получения дополнительной информации.)
В то время как традиционный дизайнер может думать о своей работе как о проектировании объекта или механизма , «система действий» - это «согласованный набор взаимосвязанных компонентов», который создает изменения.

Системы действий построены так, чтобы позволить участникам производить существенные изменения посредством небольших действий, и на самом деле не обязательно требуют участия всех жителей для создания этих изменений.

!!!Ключевые элементы дизайна

* Видение
** Видение - это видеть. Он сплачивается; это желательно; он переориентирует существующих участников; он создает пространство для отдыха.
* Автомобиль (проявляющий видение)
** Транспортное средство - это возможность: план модернизации исследовательской библиотеки; строительство нового университета; и т.д. Это создает возможность для выражения видения.
* Концепция (которая движет работой)
** Концепция основывает видение автомобиля. Это более конкретно; это более конкретно. Он не относится к конкретным механизмам, но описывает, как видение будет достигнуто с помощью транспортного средства.
* Механизмы - вещи и действия для возникновения эшафота
** Определенные системные существительные и глаголы. В физической среде это могут быть физические пространства или возможности. В социальной среде это может отражать ритуалы или практики. Это согласованный набор; стратегически выбранные, чтобы уравновешивать и усиливать друг друга.
* Сети
** Система действий действует в постоянно меняющемся контексте - на уровне отдельного человека, небольших групп, сообществ и общества в целом, в которое встроен этот замысел. Отношения между людьми на всех этих уровнях сложным образом взаимодействуют с механизмами, которые обеспечивают то, что на самом деле происходит в этих контекстах, изо дня в день.

!!!Необходимые практики и компоненты для создания систем действий
* Расширенное чтение контекста
** это очень удачная компетенция
* Формирование и работа в чрезвычайно междисциплинарных пространствах
** это в основном необходимо, потому что авторы и их коллеги являются консультантами
* Метадизайн
** о разработке процессов проектирования
** Опять же… может быть, только потому, что авторы - консультанты?
** это необходимо, когда дизайнеры, работающие вне контекста использования, привлекают практиков предметной области к процессу проектирования
* Размышляя через экологические линзы
* Осознавая роль дизайнера как лидера и организатора:
** Роль дизайнера заключается в том, чтобы извлечь множество идей и наблюдений из шарретов, бесед с дисциплинарными экспертами и т. д., А также превратить это в собственное видение.
** «Видение можно развивать в сотрудничестве, но для этого требуется харизматическое лидерство, чтобы сплести воедино множество голосов, найти согласованные модели и продуктивные аномалии, а затем сообщить и отстаивать их с ясностью и артистизмом»
** относится к наблюдениям о поистине великих произведениях, созданных одним человеком
* Формирование важных и эффективных партнерских сетей

---

References
Pendleton-Jullian, A. M., & Brown, J. S. (2018). Design Unbound (Vol. 1–2). MIT Press. Pendleton-Jullian and Brown, Design Unbound
В интервью Джеймса («Брэд») Делонга - Quantum Country - 22.11.2019 Брэд в шутку предположил, что Мнемоническая среда представляет собой новый вид «катехизиса». Это забавное сравнение, но над ним стоит серьезно задуматься!

Типичный пример из Вестминстерского краткого катехизиса :
"""

В1: Какова главная цель человека?
A1: Главная цель человека - прославлять Бога и вечно наслаждаться Им.
"""

На первый взгляд, катехизисы предназначены для запоминания доктринальных знаний, но они также влияют на изменение личности посредством многократного ознакомления.

Точно так же обзорные сессии [[§Система интервального повторения]] помогают читателям запомнить материал книги, но они также побуждают читателей повторно взаимодействовать с материалом, который они прочитали с течением времени. Это практически полезно, потому что многие читатели увидят новые связи после того, как посидят с контентом в течение нескольких недель. Но, возможно, это также способствует изменению личности: вы не просто человек, однажды прочитавший это эссе, вы изучаете эту тему в более длительном смысле.

Мой собственный опыт здесь неоднозначен. Иногда я вижу вопрос в двадцатый раз и отвечаю наизусть, без какой-либо эмоциональной связи с первоисточником. В других случаях я замечаю, что задаю себе новые вопросы по этой теме, постепенно чувствуя, что постепенно «соприкасаюсь» с этой темой.

Все это косвенный эффект - изменение личности путем запоминания деталей, связанных с этой идентичностью. Но можно также использовать системы интервальных повторений для более непосредственного программирования своей личности. Придерживаясь на данный момент квантовых вычислений, один простой пример карты мог бы быть таким: «В данный момент, какой нерешенный вопрос я инстинктивно нахожу наиболее увлекательным в квантовых вычислениях?» (сзади ничего нет). Если бы вы видели этот вопрос регулярно в течение следующих нескольких месяцев, отождествляли бы вы себя с проблемами космоса более лично?

Вы можете представить себе создание карточек о новых привычках («Подумайте о новой конкретной ситуации, в которой мне будет сложно дать слово другим») или ценностям («Какая необычная недавняя ситуация, в которой вы думали в масштабе столетия? ”); см. Интервальное повторение может быть полезным инструментом для развития или изменения привычек . Более экзотические системы Spaced everything можно использовать для планирования произвольных мелкозернистых задач, связанных с какой-то новой идентичностью, например, итеративное обращение к интересным людям в новой области.

На данный момент кажется, что мы довольно далеко отошли от катехизиса, но этот англиканский катехизис имеет тот же оттенок:

"""
Q: Как вас зовут?
A:…
Q: Кто дал вам это Имя?
A: Мои крестные отцы и крестные матери в моем крещении; в котором я стал членом Христа, чадом Божьим и наследником Царства Небесного.
"""

Связано: [[Система интервального повторения на уровне ОС]]

[[Системы памяти с интервалом повторения делают выбор в пользу памяти]], но ценность компьютеризированного компонента заключается именно в динамическом планировании и выборе вопросов для рассмотрения. В некотором смысле эффективность  [[§Система интервального повторения]] происходит от ее способности *программировать* *ваше внимание*([[Программируемое внимание]]). Подумайте: «{cron} для вашего разума».

Принятие решений о том, какие карты рассматривать вручную, было бы слишком утомительно для каждой карты. Стоимость транзакции слишком высока. Когда эта работа в основном передается на аутсорсинг, вы можете принять более грубое решение - посвятить свое внимание практике SRS в течение 10 минут - а затем позволить вашему вниманию быть направленным машине в этом блоке.

В традиционной системе в стиле карточек вы можете использовать это наблюдение, чтобы выйти далеко за рамки запоминания: см.  [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]], а  [[Интервальное повторение может быть полезным инструментом для развития или изменения привычек]] . [[Дизайн подсказок с интервалом повторения предназначен для разработки задач для себя в будущем]].

Но основная *концепция*- автоматическая организация и представление задач в соответствии с некоторым расширяющимся графиком - может быть создан во многих интерфейсах и доменах. Я называю это понятие [[Всё разнесено]].

Некоторые примеры:

* [[Поэтапное чтение]] 
* [[Своевременный текст]]
* [[Интервальное повторение может быть полезным инструментом для постепенного развития догадок]] 
* [[Интервальное повторение может снизить ставки в отношении разрушительных операций по обслуживанию почтового ящика]]  (списки дел, электронная почта, списки чтения и т. д.)
* [[Readwise]] 

!!!Related:
* Для приложений, которые могут использовать простой формат карточек SRS, см.  [[Необычные приложения систем памяти с интервалом повторения]] 
* [[Системы интервального повторения как катехизис]] 
* [[Система интервального повторения на уровне ОС]]
Если [[Duolingo]] просит меня перевести испанскую фразу на английский, и я неправильно перевожу одно слово, он может заметить, какое слово я перевел неправильно, и соответствующим образом скорректировать расписание для связанных задач. 
Самостоятельно оцениваемая система памяти с интервальным повторением может знать только то, что весь ответ был неправильным. (Учтите, что я не думаю, что Duolingo на самом деле это делает!)

Конечно, по крайней мере для таких простых случаев, как этот, можно разработать взаимодействия, которые позволят более мелкую самооценку. Например, при обнаружении правильного перевода пользователи могут нажимать на слова, которые они перевели неправильно.

---

"""
Q. Приведите пример того, как SRS с машинной оценкой может выполнять более сложное моделирование знаний, чем SRS с самооценкой.
A. (например, определение того, какая часть ответа неверна, и соответствующее обновление модели).
"""
[[Взаимодействие - это центр затрат в дизайне интерфейсов]], поэтому [[§Система интервального повторения]] с машинной оценкой требует больших временных и когнитивных затрат для пользователей. Если пользователь должен вводить ответ, это может легко в 2-4 раза увеличить время, затрачиваемое на каждую задачу.

Некоторые системы с машинной оценкой избегают затрат на ввод, делая свои подсказки с множественным выбором. Но это превращает задачу генерации в задачу распознавания - гораздо менее эффективную для кодирования памяти; см. [[Эффект генерации]].
Если во время сеанса проверки [[§Система интервального повторения]] я сделаю опечатку в своем выражении SQL из-за того, что неправильно запомнил имя функции, это плохо, и мне, вероятно, следует еще раз просмотреть задачу. Но если я сделаю опечатку из-за того, что у меня выскользнул палец, я все равно «прав», как я понимаю. Ложноотрицательные результаты очень раздражают в системах машинной классификации. Конечно, они также неэффективны, так как подсказка появится снова раньше. Но рассердить пользователя - гораздо более серьезная проблема.

Системы с машинной оценкой вводят различные механизмы, позволяющие избежать этой проблемы - например, допускают небольшое расстояние редактирования или некоторый известный словарь альтернативных написаний. Это обязательно неполные меры.

''TODO - посмотреть на вопросы по ссылке ниже ''

См. раздел [[Как использовать (или не использовать!) вопросы|https://quantum.country/qcvc#how-to-use-or-not-use-the-questions]] в квантовых вычислениях для очень любопытных, чтобы узнать больше; например:

::Вы, наверное, заметили, что вопросы ставятся самооценкой. Если вы хотите иногда отметить себя «правильным», даже если это не так, дерзайте! Как вы думаете, какое влияние это окажет на ваше обучение? Вам нравится слегка трансгрессивное чувство? Должен признать, что да. Не смущайтесь, если это так: это должно быть, прежде всего, развлечением. Или попробуйте отметить себя неправильно, когда вы правы, или полностью пропустите вопросы. Какое влияние эти действия оказывают на ваше обучение? Дело в том, чтобы выяснить, как отвечать на вопросы, чтобы учиться как можно быстрее. А это означает, что нужно в игровой форме экспериментировать с тем, как вы взаимодействуете, чтобы найти то, что вам подходит.

!!!References

Matuschak, A., & Nielsen, M. (2019, March). Quantum computing for the very curious. Quantum Country. https://quantum.country/qcvc
«Импровизируйте мелодию в пентатонике минор». Многие ценные подсказки системы памяти с интервальным повторением в той или иной степени принципиально немашинно-градуируемые - особенно те, которые описаны в разделе [[Системы памяти с интервалом повторения могут использоваться для подсказки приложения, синтеза и создания]]. Системы самооценки легче ответят на эти экспериментальные вопросы.
Используя систему  [[§Система интервального повторения]], вы можете запоминать ответы на тысячи вопросов всего за несколько минут в день. Это неинтуитивное следствие экспоненциальной работы в [[Эффект интервала]]: [[Интервальное повторение дает экспоненциальную отдачу при небольшом увеличении усилия]].

Каждый раз, когда вы правильно запоминаете ответ, интервал тестирования этого вопроса увеличивается геометрически, образуя экспоненциальную кривую: 5 дней, 2 недели, 1 месяц, 2 месяца, 4 месяца и т. д. Если вы добавляете вопросы с постоянной скоростью, и вероятность каждого вопроса того, что произошло в данный день, экспоненциально уменьшается со временем, тогда у вас будет примерно постоянное количество вопросов, которые нужно будет рассмотреть в данный день.

!!!References

Branwen, G. (2009). Spaced Repetition for Efficient Learning. Retrieved December 16, 2019, from https://www.gwern.net/Spaced-repetition

Nielsen, M. (2018). Augmenting Long-term Memory. Retrieved from http://augmentingcognition.com/ltm.html
Память обычно - это то, что происходит случайно. Часто это немного похоже на объект беспомощной молитвы: вы, возможно, читаете книгу и думаете о себе: «О боже, мне лучше это запомнить».
Одним из увлекательных последствий использования [[§Система интервального повторения]] является то, что они **делают память выбором.** После того, как вы примете практику памяти, если хотите что-то запомнить, вы можете просто заставить это произойти: просто уделите несколько минут, чтобы написать вопрос об этом. В течение следующих нескольких недель вы будете долговременно кодировать его в долгосрочную память, и это займет у вас всего несколько минут:  [[Системы интервального повторения чрезвычайно эффективны]].

Это в корне меняет отношение к памяти! [[Основные практики в работе с знаниями часто являются ad-hoc]], и «запоминания деталей» являются хорошим примером типично специальной практики. Но системы памяти с интервалом повторения являются подлинной  [[Исполняемая стратегия]] для запоминания конкретных деталей.

Это //не самая лучшая стратегия// [[Кажется, что люди забывают большую часть того, что читают, и в большинстве случаев не замечают]], поскольку довольно сложно выбрать детали для запоминания и написать эффективные вопросы для всего текста. Вот где появляется мнемоническая среда:  [[Мнемонические эссе могут предлагать подробное сохранение их содержания в обмен на 35-50% дополнительных затрат времени на чтение]].

!!References
References
Nielsen, M. (2018). Augmenting Long-term Memory. Retrieved from http://augmentingcognition.com/ltm.html

Matuschak, A., & Nielsen, M. (2019). How can we develop transformative tools for thought? Retrieved December 2, 2019, from https://numinous.productions/ttft
Наиболее очевидный способ использования [[§Система интервального повторения]] - это запоминание простых фактов: имен, определений, числовых констант и т. д. Подавляющее большинство пользователей систем памяти, похоже, когда-либо используют их только для этой цели. Но интервальное повторение полезно не только для запоминания простых фактов. Тот же механизм можно использовать для глубокого понимания сложного материала, особенно если вы пишете наши собственные подсказки ([[Насколько важно писать собственные подсказки с интервалом повторения?]]). Такие концептуально ориентированные подсказки могут проверить вас на связи, значениях, причинах и последствиях. Эти более широкие идеи не кажутся наивными фактами, которые можно запомнить, но часто это так. Помимо преимущества запоминания этих концептуальных идей, установление отношений на более высоком уровне таким образом с течением времени может поддерживать вас в контакте с темой и помогает вам глубже усвоить ее. (связано: [[Мнемоническая среда удерживает читателей в контакте с материалом с течением времени]])

[[Трудно написать хорошие подсказки для интервального повторения]]; написание хороших концептуальных подсказок гораздо важнее. Методы, используемые для кодирования абстрактных концептуальных знаний, недостаточно хорошо или широко поняты. См. [[Каковы наиболее важные атрибуты хороших подсказок с интервалом повторения?]] для большего понимания. Особенно актуально здесь: [[Подсказки с интервалом повторения в памяти должны кодировать идеи с разных сторон]].

Это ответ на вопрос. [[Многие люди считают, что память не важна для глубокой творческой работы]].

Стоит также отметить, что непонятная основа интервального повторения ([[Эффект тестирования]]) была продемонстрирована как для концептуального, так и для декларативного знания (см. Karpicke and Blunt, 2011).

Matuschak, A., & Nielsen, M. (2019, October 0). How can we develop transformative tools for thought? https://numinous.productions/ttft (see https://numinous.productions/ttft/#how-important-is-memory)

https://science.sciencemag.org/content/331/6018/772
[[§Система интервального повторения]], такая как Anki, в первую очередь предназначена для того, чтобы помочь людям запомнить много декларативных знаний, таких как словарный запас. Но те же механизмы можно использовать для создания относительно неортодоксальных карт, которые побуждают к применению, синтезу и созданию.

[img[DYDdBJMVMAAobpq.jpeg]]

Одним из ограничений этого типа вопросов является то, что, поскольку вы их написали, вы должны оставить контекст относительно расплывчатым: «применить призму утилитаризма к недавнему решению», а не «применить призму утилитаризма к смертной казни». Последний вопрос не очень полезен, если вы его написали: вы бы уже обдумали ответ, так что на самом деле это будет просто подсказка памяти, когда вы снова увидите его позже. Это ограничение делает описанную здесь идею многообещающей: [[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]].

!!!Related:

* [[Необычные применения систем памяти с интервалом повторения]]
* [[Интервальное повторение может быть полезным инструментом для развития или изменения привычек]]
* [[Системы интервального повторения могут использоваться для программирования внимания]]
Одна из проблем при внедрении и повседневном использовании [[§Система интервального повторения]] заключается в том, что вы будете тратить почти все свое время на обзор материала, который вам трудно запомнить. Легко запоминающийся материал будет быстро увеличиваться до интервалов в несколько месяцев, поэтому вы потратите на это немного времени по сравнению с подсказкой, которая застревает с интервалами длиной в несколько дней или недель. Ваш ожидаемый уровень точности для всей вашей коллекции может составлять 95 +%, но ваш уровень точности в данном сеансе, вероятно, будет намного ниже.

Эффект усиливается, если вы добавляете много вопросов в пакете, а затем какое-то время не добавляете больше вопросов. Скорее всего, у вас будет несколько сессий, состоящих почти исключительно из вопросов, на которые вы изо всех сил пытались ответить. (Это проблема при подключении пользователя к [[Мнемоническая среда]]).

Это явление приводит к ошибочному мнению, что интервальное повторение не очень хорошо работает. И это разумно! Единственная прямая обратная связь, которую студенты получают об эффективности процесса, - это их способность (или ее отсутствие) запоминать заданные вопросы, а в SRS эта обратная связь будет довольно смешанной.

Возможно, эту проблему можно частично решить с помощью информации, представленной в конце обзорных сессий, но я опасаюсь, что место встречи окажет менее сильное влияние: это (предположительно) просто то, что люди прочитают, в отличие от обратной связи, которую они *испытывают*.

Другое решение может заключаться в регулярном добавлении нового материала, что, по крайней мере, сместит долю обзорных сессий в сторону материалов с возможно более высокой степенью точности. 

Связанный: [[Сеансы повторения с интервалом часто становятся скучными и оторванными без постоянного потока новых подсказок]].

Другой подход в целом заключался бы в добавлении функциональных возможностей «подсказок» или чего-то подобного, что могло бы позволить пользователям чаще добиваться успеха (надеюсь, без ущерба для удержания); см. Vaugh and Nate Kornell, 2019.

Другими словами, сложные тестовые испытания были подобны черному кофе (отвратительно), в то время как тестовые испытания с подсказками были подобны кофе с молоком и подсластителем (небесным).

См. [[Желательные трудности, после Бьорк]].

!!!Некоторые эмпирические примеры

[[Robert A. Bjork]] (1994) обнаружил:
Баддели и Лонгман (1978), например, обнаружили, что британские почтовые работники, которых обучали навыкам игры на клавиатуре в массовых (и менее эффективных) условиях, на самом деле были более удовлетворены своим обучением, чем рабочие, которых учили (и более эффективно) в условиях интервальной практики.

[[Nate Kornell]] (2009) обнаружил в исследовании словаря типа GRE:

Во всех экспериментах интервалы были более эффективными, чем массирование для 90% участников, но после первого сеанса исследования 72% участников считали, что массирование было более эффективным, чем размещение.
… Участники предсказали, что окончательная точность теста, которая была на 31 процентный пункт выше в условиях с разнесением, чем в условиях с множеством, будет на 14 процентных пунктов ниже в условиях с разнесением, чем в условиях с множеством.
… Таким образом, интервалы могут снизить уровень успеваемости во время обучения и одновременно улучшить долгосрочное обучение. Когда люди совершают ошибку, предполагая, что краткосрочные результаты равны долгосрочному обучению - что они часто и делают (Bjork, 1994, 1999) - они могут убедить себя, что как стратегия обучения более эффективна, чем интервалы.

!!!References
Bjork, R. A. (1994). Memory and Metamemory Considerations in the Training of Human Beings. In J. Metcalfe & A. Shimamura (Eds.), Metacognition: Knowing about Knowing (pp. 185–205). MIT Press.
Kornell, N. (2009). Optimising learning using flashcards: Spacing is more effective than cramming. Applied Cognitive Psychology, 23(9), 1297–1317.  [https://doi.org/10.1002/acp.1537](https://doi.org/10.1002/acp.1537) 
Когда вы впервые взаимодействуете с новым предметом, вам вообще трудно предпринять какие-либо значимые шаги: по крайней мере, какое-то время вы часто не можете удерживать в голове достаточно новых терминов и идей одновременно достаточно долго, чтобы сделать что-нибудь значимое. . В этом контексте [[§Система интервального повторения]] может помочь, ускоряя вас через этот неловкий, неприятный этап до точки, когда вы действительно можете получить значимый опыт с материалом (связанный с: [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]].

Например, значимым способом выучить французский язык могло бы стать общение с франкоговорящими людьми. Но если вы только начали, вы недостаточно знаете язык, чтобы вести настоящий разговор - или, по крайней мере, опыт может быть настолько неудобным, что вы не будете его повторять. Системы памяти могут помочь вам быстро перейти к этапу обучения, на котором становится возможным содержательный разговор.

Это хороший ответ на вопрос. [[Многие люди считают, что память не важна для глубокой творческой работы]].

---

"""
Q. Почему SRM часто особенно полезны на ранних этапах изучения предмета?
A. На этих этапах ваше понимание основных терминов и идей настолько шатко, что вы еще не можете сделать ничего значимого. SRM могут ускорить этот процесс.

Q. Почему SRM может помочь вам быстрее получить значимый опыт, если вы только начали изучать французский язык?
A. Это может помочь вам быстрее достичь того момента, когда вы сможете поговорить с кем-нибудь по-французски.
"""
[[Системы интервального повторения чрезвычайно эффективны]], но кривые роста начинаются не сразу. Таким образом, новый пользовательский опыт работы с [[§Система интервального повторения]] требует предварительных усилий с точки зрения усилий… и отложенных с точки зрения впечатляющих результатов. Сначала это кажется не лучше, чем банальная система карточек, которую они могли бы использовать в школе. И долгосрочная выгода очень неочевидна: [[Интервальное повторение дает экспоненциальную отдачу при небольшом увеличении усилия]], но почти ничто другое не дает, а у людей плохая интуиция на экспоненты (они не понимают как и когда они образуются).

Хуже того: даже после того, как читатель добился значительного прогресса, неочевидно, что это происходит. В основном вы не взаимодействуете с материалом, который вы теперь надолго запомнили, поэтому вы не чувствуете внутренне, что вы запомнили сотни элементов. Вместо этого ваше внимание привлекают подсказки, которые вы, вероятно, забыли: [[Системы памяти с интервальным повторением заставляют вас чувствовать, что ваша память хуже, чем она есть на самом деле]].

Учитывая все это, разработчики систем должны рассмотреть возможность дополнения «естественного» опыта для решения этой проблемы. Вначале коучинг по экспоненте может помочь людям увидеть, что требуемые усилия быстро упадут. Также может быть полезно отображать общий прогресс в сеансах обзора (как это делает Quantum Country), чтобы пользователи не переоценивали подсказки в этом одном сеансе, чтобы получить представление о своем прогрессе.
[[Глубокое понимание требует детального знания основ]]. Таким образом, один из способов увидеть роль [[§Система интервального повторения]] состоит в том, что она эффективно автоматизирует важные, но механические элементы обучения, чтобы вы могли сосредоточиться на более интересных, значимых или концептуальных элементах.

Это хороший ответ на вопрос. [[Многие люди считают, что память не важна для глубокой творческой работы]].

Тем не менее, стоит отметить, что интервальное повторение полезно не только для самых механических частей обучения: проще всего применить его таким образом. Фактически, [[Системы памяти с интервалом повторения могут быть использованы для развития концептуального понимания]].

"""

Q. Как интервальное повторение может помочь вам тратить больше энергии на более глубокое взаимодействие?
A. Он может автоматизировать многие механические элементы обучения.
"""

!!!References

Matuschak, A., & Nielsen, M. (2019, October 0). [[How can we develop transformative tools for thought?|https://numinous.productions/ttft/#how-important-is-memory]]
Глядя на чей-то гениальный ход, вы видите только конечный продукт. Вы не видите, сколько растопки было сожжено до того, как это внезапное осознание стало возможным. Отчасти потому, что даже наши собственные прозрения не чувствуют, что они возникают как естественное следствие предыдущих усилий - но они есть!

Скачки понимания зависят от накопленного ранее опыта по этим темам. Иногда это накопление происходит полностью в нашем подсознании (наши «подсознательные задворки», как сказала бы Мэй-Ли), но полезно спроектировать наши внешние когнитивные системы так, чтобы наша повседневная мысли и идеи могли срастаться с уже имеющимися [[Знания должны срастаться]].

Одно из практических следствий этого понятия: вечнозеленые заметки как фундаментальная единица работы со знаниями.

!!!References
Аренс, С. (2017). Как делать умные заметки: один простой метод для улучшения письма, обучения и мышления - для студентов, ученых и авторов документальных книг.

Почти всегда внимание сосредоточено на нескольких исключительных моментах, когда мы пишем объемный фрагмент, книгу, статью или, как студенты, эссе и тезисы, которые нам нужно сдать.

Каждое интеллектуальное усилие начинается с уже существующего предубеждения, которое затем может быть преобразовано в ходе дальнейших исследований и может служить отправной точкой для последующих усилий. По сути, это то, что Ганс-Георг Гадамер называл герменевтическим кругом (Gadamer 2004). [[Герменевтический круг — Википедия|https://ru.wikipedia.org/wiki/%D0%93%D0%B5%D1%80%D0%BC%D0%B5%D0%BD%D0%B5%D0%B2%D1%82%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B8%D0%B9_%D0%BA%D1%80%D1%83%D0%B3]]

Но самое главное, без постоянного запаса идей вы не сможете развивать какие-либо важные идеи в течение более длительного периода времени, потому что вы ограничиваете себя либо продолжительностью одного проекта, либо объемом своей памяти. Исключительным идеям нужно гораздо больше.

То, что вы должны найти в своей голове с помощью мозгового штурма, обычно берет свое начало не в этом. Скорее, они приходят извне: через чтение, обсуждение и выслушивание других, через все то, что могло бы сопровождаться и часто даже было бы улучшено письмом.

[[[Leaps of insight emerge from prior thought|https://notes.andymatuschak.org/zSn7SX7yMtnh1ZCQEG44TJoxrH7Udpm9oeEm]]]
Крайне заманчиво наполнить свободные моменты активностью: книги, задачи, просмотр веб-страниц, чат. [[Культурные привычки по умолчанию заполняют свободное время чужими идеями]]; чтобы освободить место для себя, я должен чувствовать себя комфортно с «пустым» временем. Я считаю, что мне часто приходится скучать, прежде чем мне удастся  [[Быть любопытным]] .

Итак, наставление такое: когда вам будет скучно, оставайтесь с этим чувством, а не сразу же тянитесь за книгой или другим занятием.
Мы не были уверены в этом, когда запускали подсказки приложения (см . [[Мнемоническая среда может помочь читателям применить то, что они узнали, с помощью простых подсказок приложения]]). Я все еще не уверен.

''Цель практики иная: пользователи не должны пытаться запоминать ответы на подсказки приложения''. Когда вы видите ответ на запросы отзыва, ваша цель - сохранить ответ в памяти. Но такое поведение обычно является пустой тратой времени для запросов приложения (а в худшем случае оно на самом деле контрпродуктивно: ответы на запросы приложения не следует извлекать из памяти ). Ответы на подсказки приложений требуют иного взаимодействия - больше похоже на удивление. Некоторое указание типа подсказки могло бы помочь людям правильно взаимодействовать.

''Но в реальной жизни у подсказок нет ярлыков''. Вам нужно решить для себя, запомнить ответ или вывести его. Может, индикатор окажется бесполезным костылем.

Когда мы запускали подсказки приложений, мы помечали их для половины наших пользователей. Наше исследование пользовательских подсказок приложения показывает, что на практике это не кажется важным моментом.


!!!References

Adjacent email from Ben Kurtz: Feedback on [[Quantum Country]]

Когда я просматривал практические вопросы, есть ряд вопросов, на которые я не помню точных ответов сразу, но знаю, что помню достаточно основополагающей теории, чтобы работать над этими вопросами.
Примером такого вопроса (который я припоминаю прямо сейчас) является вопрос о примере, где вентиль CNOT воздействует на контрольный вентиль, а не на целевой вентиль.

Я знаю, как работает вентиль CNOT, и я определенно помню, что это некоторый пример, который включает состояния суперпозиции | +> и | ->, и поэтому я могу легко определить, какой из них, но я не помню его полностью.

Есть ряд других подобных примеров, с которыми я столкнулся (особенно как человек с сильным математическим образованием и прошлым опытом работы с квантами), которые похожи: я еще помню основную теорию и могу использовать ее для получения ответа, если я потрачу на это достаточно времени.
Идеи обычно основываются на других идеях. Некоторые напрямую объединяют несколько предыдущих идей; другие могут быть трудно выразить без специальных обозначений или терминологии. Когда у идеи мало зависимостей, вы можете представить их все, а затем сразу же выразить идею: зеленый означает идти; красный означает идти; зеленый или красный светофор, указывающий направо, означает, что вы можете или не можете повернуть направо.

Но если вы только что познакомились с огромным количеством новых терминов, вы, вероятно, мало что усвоите из предложения, в котором используются многие из этих терминов одновременно. Вы не можете одновременно манипулировать всеми этими терминами в рабочей памяти, и у вас не было времени закодировать ни один из них более надежно.

Дело не только в сроках. [[Кажется, что люди забывают большую часть того, что читают, и в большинстве случаев не замечают]], поэтому, даже если вы дадите себе время усвоить предварительные идеи, вы, вероятно, забудете многие из них.

Это может быть частью того, почему некоторые темы так сложно понять. Если вы пытаетесь изучить квантовые вычисления, это потребует новых обозначений, новых терминов и новых концепций. Это как если бы вы читали книгу, которая начинается на английском языке, но вы обнаруживаете все больше и больше испанских слов и предложений, пока внезапно не замечаете, что вся книга на испанском языке, и вы ничего из этого не понимаете. Вам нужно будет усвоить словарный запас и грамматику, прежде чем вы сможете следовать сюжету.

::Любая относительно сложная деятельность требует держать в голове больше информации, чем позволяет кратковременная память.
(Эрикссон и Пул, 2016 г., стр. 61).

Более конкретно: [[Изучение все более сложных идей может привести к формированию эффективных чанков размера]].

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!!!References
Matuschak, A., & Nielsen, M. (2019). How can we develop transformative tools for thought? Retrieved December 2, 2019, from https://numinous.productions/ttft
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IPo3kr1m4uhT2cHgfUe3y3917Z/GDRkjFD6fDy+/+P0+awYJ5ybp9/vF6/VapReJq8fjtQovtqNDKgKBgMGM62wQXoTUjYNXMBi0joyR9BMzm0gi280hPMTMlpu305/i8YSx1tmkG/tZ3BU3fc0mvYgZdeOLhJ99zZb2pE4cz6iXbZhxzLARM7Zn/v3JjXvBy/sS8g+7UpKNI8kpN4CcwvuO3rQksx753zcEpCngQrvnvqvUX+JF0s/7Ju/r1RQa73sRK8aYsQjOtR4JxvJTWhAz6lZuGTdkzOnsXmRlY+PZMkiw4ThA8AZpm15JPH3bhhc7OMlOPmbl7vSl7o99jMTCjSuT+lV7kBhNb9PP4AL3eX3iqWRmwtGUGOU79n8+jBA3myRnGc61pS1jBvHJWXky1mHGa4DWCtvak/2f/YvXp239jLpxrHUj6MimewD7GXUjscBdSnqiHnl6D4gjyBeJgRMgYuz/MNRuP5SRc2tcMruV91f+unJi7ucYz5z7ZuWOdOWeTeB+P5gYrGJhkLFA4PJKlM5Ye+Uvr22NXSPjtZ2L+bVNA2r+6diqV76O+n50BLQNR8dHv50YCLgG4l71ehg/7Q2OLV19WfkE8WJM5TBUkOFBupGJ/kxPVlAze1xLzjKWNdn2w6hFWS0Zd2SsWsDpcRQBRUARUAQUgfGAAC1dfhAPn2cEFyS+98FEFsI21aMn1UeWRCwG0hlHqDKJmB+1KKt1vkrGqt/eekRFQBFQBBQBRcAaBDxgY5Pq3XJbK2IBQbqGGr9C8FtOavLI9Ca3yURvjeJlVoSJGHpQ/ojSABcls+5XS6p4qGqdkh5HEVAEFAFFQBFQBApFgKGckaBLfuvWgExt8chFhkzhx3z1gpskYTH7X27xy/RGbFgtU1GhypdxuwRi4/pgGfODkAZgGat0brF81cdNAH/+Sel7RUARUAQUAUVAESgcAboqV7d75c8fCMrPdyVk2wmkywERu36yWx5c7pdVc7wmoH28cjHaw2KI3k9i5kIDiGm1MxcpGSu8r+qWioAioAgoAorAuEWAJGT5dJ/MafXIQxeZ9NUtUxrgwoy4TBb6Ss+irCWwdFH2O+WP4KKEMbCqomSsqnDrwRQBRUARUAQUAXsRCCLjfNAPElZ3KYppPJMwpyVSmDIaxwsx+ya/WJW5mEkn4uiiS0VAEVAEFAFFQBFQBCqeS8w2iJm6AykuDRHjzNFqk7FL1Nc2ZFQfRUARUAQUAUVAEVAEKowAct9KD3KscSJDY6h66SzyT0vJWD4a+l4RUAQUAUVAEVAEJgwCnKQQRV4x5hZjnrUgZlHWQpSM1QJ1PaYioAgoAoqAIqAI1ByBXMZ9lIGCJiHEy1Uzt1j+ySsZy0dD3ysCioAioAgoAorAhEGApaC64aJk4H4Yf6qZWywfZCVj+Wjoe0VAEVAEFAFFQBGYEAiQiHEGZQwpLYI+ziKtjYuSYCsZmxBdTk9SEVAEFAFFQBFQBPIRYAH0nljORVmPHGu0jtVKakrGMpjCkCU1vYpwm0K2u8pu9GtFQBFQBBQBRUARUAQMAolkVnrjuTixMHKrcTZlraSmSV+TyaSk02kJ+APi9uRQyCANbiabEZ/PZwgYSVgqlRKP22O2cU2E7HO16g16XEVAEVAEFAFFYIIgEINpjOWP6phxH7nFaik1IWPRaFT27dsnb731liQSCWltbZV7771XmpqaZNu2bWbdhg0bDAnjdq+88oo8+eST0tjYiER0NbQj1rKl9NiKgCKgCCgCioAiUBYEUIbSlD+ib44uymqXPxp6EjUxysXjcfnFL34h1113ndx5551CCxkJV39fv5w9e1ZOnTxl1h04cEBefPFFWbZsmYTDYSViQ1tPPysCioAioAgoAopA0QgkUiwMPlD+CMH7tTbz1MQyRlck3ZOLFy+Wuro6Q7Kee+45SSRzVTqTqaScPn1a/vZv/1ZoIbvjjjvE7/cXRMac2DJnWXQLlfkHWSQxoS6OPs6yzIcpenc5vfBoIDnbrC165Z9IPm756215bxNmbE8KXfxuFPe1SfJxyn9vk47UxSbdqEsWbWmvXh678EL/zwxcA9ZhZqleBifolutrl+5RptPV+I9zLTq6VUKd3ngWPITljxAzZm6DxODqR3LG2qtvWdwWNSFjXp9XZs+ebaxedD2SeJF0RSIR0zE6Ozvl29/+ttxzzz2yfv16CQQCBRExEjxa2WxyZTqTFKgbXbK2CDs5dSNeFJswo27EyzbMiBMx48ME4xidAYPray2mPXHzpl7U0SbJb0ub+hkxYv9ne9Jab5NuTv/imGGTXs64waVNuuX0Spu+b5Ne7GPULZ3mdemyCjNHN44XKRRldLksuz+Z8axSermQWwwMDG0T9vA+CDNZgWL62sCDUoE/KWizmpAxnowH0XL9/f2mozoXDwcgyq5du+SGG26QI0eOSEdHh4klu9rZcMDi75MJDK7oXLYMYLmOnjsvN6Zq2KKXGSBwAfKfTXixnXODV9rcINlPbBHqxRetT7x526Qb25Av6sV+ZpOQjDm62dL/HXyoWwo3SqvIGJ7O6SVwu9wSxz+bMGP/Nw+8mHCVhWXBFt3MmIHxzLk2bdGL/SxfN763TTfzAMeJcxmYiSwR4sQxI4nroNx6YdeSyLhxjYXEDyLmzsRw/Rd+4tSNr3JLTcgYL+bDhw/LF7/4RQmFQnLy5El54YUXZN68eaYBGEv2+OOPyw9/+EMT0N/c3HzV4H2CQ1dmMBQ0MzE5kNkgaXTwvr4+CQaD4vV6zQBri16xWMzoxJmrtuBFbIgZhRZRnxfOfIuEN24+RLDf2qQbMeOgSr28nppc1iO2EsMOaNpn3KdN/YwKxxO5Udg23dx4audNiO1pE2YkO5yA5UKa8mAgaI1u1IvjGW/gtrUlr03qRhLG+4BN7emMtbx3+n2oBWSJsD3JE4hXufVKYSzq6wehcmUlEvRIHTxyxbAFYkbdyi1VH7VJmhy3BclJJFInLS0tg+4VWhva29tlzuw58uCDD8rzzz8v73/wvtyy9hZDskZ7quB3/D33O9p25QZxtP25YJqmpcJOvZAuBLrZhJfBEoZEtp/BLefMHw3iqn7HQcJG3Uw/wwMIiZjHRsxw8+Y1YJvVzp3KWattuwY8A6l+bMOM8YhuphlCe9qEGfs/seL9xTbMcvcA+zDjwOncn2wba00/w3hWCb1gDJc+5LPg7MlIwI2H6uJC952xttw3nqqTMZ4ALR5MZ/HSSy+ZpxjOoFyxYoV5CuSNziFSCxYskNtuu81s1z6nXaZNm2asX+UGQfenCCgCioAioAgoAuMbAXoX40j0yvJHDSGUP6p1Pos8uKtOxki0aEZ+9NFH5cKFCyZW4+abb5apU6ea9SRfjCFjEli/xy9Lly41lrP6+nrzJJanu75VBBQBRUARUAQUAUWgIASYW4xFwRnx1RCkV6ign1Vlo5qoQv80rVwkYBTHEsZlW1ubMTU76zjbsqGh4bLtzAf9owgoAoqAIqAIKAKKQIEIsCh4XyIrAcwLiyDrPrzt1khNyBjPnmTLIVxD0Ri6fujnodvrZ0VAEVAEFAFFQBFQBEZCgNawfrgoMelWGkN2ETHqXMwkgpHOUdcrAoqAIqAIKAKKwDhBgMSFr/EkdFFGESvG82L5I5usYsS5Zpax8dTIei6KgCKgCCgCisBYRsCQL/zhMm0+oD4L3Hi2kZZSMWbQPt2UfrCekJ+euVL3VJnfKRmrDK66V0VAEVAEFAFFYEwgwFmGtByd6srI8YtpOduFmo2Iq2prcsmsFo9MrkOaCcvISzHA8vx6YkxsK9IUQVoW+ARtOx0lY8W0qG6rCCgCioAioAiMMwRIxC50peW/bIzJa4dTEutjUlRYkBrc8uRNfvmNNQFpQpyVbdakQpqBRj6eXw8C95GKThqQW8w2Isbz0JixQlpTt1EEFAFFQBFQBMYpAt0xkb8AEXvzAEoKRlnyDe5KEJhMb0a+vz0uP9oRN4RmLJ4+rWIsCs5qi0EkeKWb0kZRMmZjq6hOioAioAgoAopAFRBAWUo5052W1w6ljPUogdmGtCbxFQWB6QI5e/b9pHT0o6A4th1rwvOji5JWvTAqPlmU5/UyKJWMXQaHflAEFAFFQBFQBCYGAuRWtByd6kjLLrgmE8OQLZKzrYgl64CVjBazsSRUl+WPehG8bwL3ffa6WpWMjaWepboqAoqAIqAIKAJlQoAEgATLC3MRy4QPF0tFftaAL9w0LQ1D1sqkSkV2Q6LZl0TRcVj46pDktdg6lBVRaoSdKhkbARhdrQgoAoqAIqAIjHcEfAhqn9XqllWNLtRqvJyQ4aNZd8tkj0xrsqt8UCHtQhLG8keormhyixVZE7yQQ5RtGyVjZYNSd6QIKAKKgCKgCIwxBGDwYuqKr94SEBesR2mwgl5YlPjKgI3NbPXIv7gjIEHk5hpr6S2YcT+eROkj6O6H9c/m2aCWzisYY51Z1VUEFAFFQBFQBMYgAnRNhkFWHrvZb4Lbn9mdkiOIDyNxWd6I1Bar/bK23Ss2W5WGg505xaJIZ0E3bH3Q3sB9R3clYw4SulQEFAFFQBFQBCYgAnTjhWAV+/W1QXlgaUYu9mQNGZsK12QEpYNIzEjaxpIkUEaAljFa8xgvZrNVjLgqGRtLvUt1VQQUAUVAEVAEKoAAyRYz0zdG3NIASxIMSiYL/1hzTRIa6t7N3GKYSUmrXwBmPSVjRKaKkuX0CYizrOKhrziUC62fhY2Uujj6OMsrNq7yipxenBrDEE078DKKDPljC175arFdKTbpxvZ0xCa9huJkk25OO9qKm+rlIFD40mlTm/pZvva26TXcuGHycOWZaQZuqfmnUfH3Q3Ea+vlqCqAEpXQjP5qL5BKVA0jPanEeV9Mz//s8yPNXj733vAjTSCiSAhV2uZBUxBJhJ8og61yS0zosEqMXnOrJZBJ45ciFLeo5uqWQMrnYi7DS55ABZnzZphtxSmfSkkgmxM0IXIuE1yVfiUTCur7G8YLXJ3WzSXhdsk25tE3S6RSuAZd17clrktembf3MXJuWYkbdeA2I2NXPqFcGJQBKuW/ysTSeciNw3y0hX0Z8kkKfKN9V5OhWvj3m9jRuyBhPhwNXLBZF57LrtFK4ECWO+lgpuzo8By83Hh14o7RN2Ja8SboZzGCZODdI20gsb0SxWMw6wmMGrwHdLGtK08d4fUajUatU47VJIXa2iaMb+5tNQr1sxIsY2YYZexWN6Zxp2NufFLc3DddkytRutCVDvSHWcZRhKvK+mUZRza64DxePX/wuELE4mVh5r6NK9H27WAt7bYnCizAYDEokEpFAIFDiXsr/M4fohEIh8fnQQSwR6sUbt9frtQovwkPd+vv7TXvahBl1cwbVcDhssOM6G4TuBpLXuro6DKg517MNelEHYtbb0yv1dfVwG9hlhY1jsOd10NDQYAtcRg/qxOsgHApbhRn7WX+03/SxgB+pECxpT+oVT/DGnZJIOGKNXmxMBzMXHizDwZAV/awLubc27U/J8+8l5OMLCFbBM+/CaV75zVv9snCq15QNqrWiXR1dEoqExO9nOtrCJQaCeR7xYrzdNtaBE6CfllPYnl1dXeXcpdnXuCFjDjK0VjgvZ12tl44+zrLW+jjHd8Eq5ujEpS3Czu7o5XbbZRlz9CJWNukG56lpPlo6bdKLShnMcNPmjdtK3awdM9CWuEtadW26eG3mrkmbdHP6v9PXbOpn1I2YoSVz10KNx9oLfRl5dV9a/nxTXPrwHtENRj7pS8u+joT8b+tdcvdCnwnmz31T/b/GwoluxvYspi1x65AYZlFyJmULZoEGUf7IXeYHBqevlRsVu+50ZTg7mwauMpyO7sJCBGx1hVgIlap0jQhoXysOQMVrdLzo9T58Pi3/dnNMLqLeZBzecPAW8xKkgTh+PiXfez8hPVHEa4Gk9cPC1INA+F5Y0kwB8fJ6+0ZVlg/lxQoLmfdAV+bhaAAZszDKZcRTGneWsRHPVL9QBBQBRUARUAQmOAKHzsLV3J0RTjIkEXOEBrIEyNnFjoyc7MjK5IaMfHg8JadA2uoCblk+2yNtjR7xw/1XZmOTo8I1L5nkla8QdBxrFQOUjF1z8+sOFAFFQBFQBBQB+xGghzSJ2FKkERtW6CqLxjKy41hS/sd7SdkPYtYEwsYQeIZi/7sNIVm3yCstyEVmT2BL7lRoSOuDJY/LBjBNuyJnh4X7spXjzk152dnpB0VAEVAEFAFFQBEwCNBNObXeI2nEUg0lU/zMkkc9mPn/9Pa47D+TliCsTDGWFIILM9qXRZxZTLYeTCGNjn2A0qrXj5cbLKzOz1hL+3QcTSMlY6Oho98pAoqAIqAIKALjCIEF0zzyK3O9SGeB9BYgLOBayMSFWZ94zxqOIaw/2pmVOqyjdYmpLrj0YrsLcFk+/1ESM1ftSqJKktmXYP5HuCjBKOmmVDKGRlNRBBQBRUARUAQUAbsQIEGZ1eyW318flLVzvNIDpnUEROZjWLqiYFyP3RiQpTO9Ak/lFZm5sJkgrl8+6c1KH4LkSYBsEerSyYz7UIiB+2ONiBFHjRmzpTepHoqAIqAIKAKKQIUR4AzDmU0e+dOHwvKVMyk5ciqGoHyPLJgRkOkoDP7drXFBXW3DxobyLRIGbCoei5iDiRWjGxX5xepQhzJilK8wiBXYvUWQVuDsdJeKgCKgCCgCioAicBkCAbjxpqAqeL3fK9c1ucSLZX3EayxKN0z3iBcB8ElYmmgeG+BlZulDrNnqqR4zu9IW6xNnhDL9BvUMY5IBi52PRVEyNhZbTXVWBBQBRUARUASKQICuvG64F3sx4zDGStpgL42BrAl4j5DEMDAMq5fO8MrjS/zyjx8mpB5mJwbrM5WFBy7NRVM88pmlfiGZs0GgrqRxLswtRotdmEleycrGoCgZG4ONpiorAoqAIqAIKAKFIkBXHssEPfdBUn76UUJOd2EFCNXn5nvkvvkI1g/nLGAkaDPhqvzd9QFpgcVsI4L1LyInWQSzE2+Y5ZWvrfXLPBAykiAbOI8J3IeLMo4kaZMQKxbgdNAxKkrGxmjDqdqKgCKgCCgCikAhCHT0Z+S/ofzRd5FdPwJmlgJ5oZvxOxfSsu2EW/7dp9yyaFpuHdc3ht3yxVUBBPT7JYmplnT9MdlrPUgZY85soTzUrRsuSs74bIRrday6KNmGSsYK6cm6jSKgCCgCioAiMAYRSMAidgQlkL4PIuZGSooeErGB82BKi32ns/LSnpQsmIp6lANf+EC4mpmin68BscUalq9PH61iOIkwgvb9zJ12SV1nszGzHKOhbmMGX1VUEVAEFAFFQBGoGQLMv/Xe0bTs7mGsWE4NEiu+aI2JI4bsjQMpk6OL60YS23gOY9mYcZ8n0oD8aLSOjWWpmWVsuIKuWuR7LHcl1V0RUAQUAUXANgROoM7kpo9TMgsB7kOD20m+siA1URA2Fgb3471rDJhoqHfcpLPITUCoR0qLsWwVY5+pCRnLZDKSTqPlh4jX60UiOcKMTuPO9Qh+dtaRrClhGwKaflQEFAFFQBFQBIYgwDvphZ6MfOvtmGw/kTa5w4byLBqTmDNsKvKOBUhohm4wZJ/WfMTJ9bBME8gjk7z64F8d44ax6pOxNCIHz547K++8846QfJFckWwlEglZt26dfPLJJ+b9TTfdZAgbP7/33nuyYcMGqa+vt6YvqCKKgCKgCCgCioCtCNCu8cGptOwFEYvBisTMFUOFlrKWOpc8fKPPWM3GAqEhyUyChDFwnzabsZpx/4q2GLqi0p8zsImSgDU2NkpdXZ2EgiH4qlOGcPX398vevXtl9+7dZt2FCxfkJz/5CXzacfH7/ZVWTfevCCgCioAioAiMDwTAWnaDjJ3oz8pwd08SrywY2mevy8it7S4zS3IsnDhJJmPFWBg8hKD9AF7jQarupvT5fDJ16lTzIoCdnZ2yadMmWbVqlYTDYUPU6MaMRqPyN3/zN9LW1iYPPvigBAKBglyUjktzPDSOnoNdCGjfsqs9VBtFQBEYHQEW/4YRSUbyPk6td8nadhYIz2WwH31vdnybcqxiODeWPjLJau1Q7Zq0qDoZo7ZO3BdvbqdOnZK3335bvvGNb0gwGIQPOCO0kD311FOyYMEC+dSnPgVfdmFELB8JW26cWeR0oS6OPs4yX9davM/pxcs0Z7y2Ra+hWNioV37/HapvrT6zPSm0PLuzIw29tdGObejoZ2N7OqjYqptNeuXrkv/ewbDWSxuvzXxMqo3ZakTtz6tzy4FY+rKYJEZsd2D4f2SGB0le8QbDR7V1y8dl6HtHFy6d9842zC3Wh3ixANhLkAyG2zhfVmHpjGXlPlRNyJhzErFYTA4cOCA333yzNDc3m9UM3KebsqmpybzowvQUQH15ESaRUIX7TDGjnSWSxc2R50BXa5K9yBJx9OJECpvwIjxGN2AVzUYRP4gkORYJdWPcIy23NulmMEunTP93WRaFm8mkUVIljYesqEUtmVMllUriukxKX1+/VbolkwmjD55LrRL2M46zbmT+zAw8ANigoLkuMZZlkO+gD/9sugbMtYl7AKXamM2MZOSW9owc6UGcVRylg8Ba6NQjkbkOt9z7l6Ql7MVYi3JCyQEdjaIW/OGYwftm/v0pA1Nfd9KL8QQTDlwJSSH1fl+ium5K09egW7mlpo/QHR0d0tXVJcuXL0fdq5yFhuQgEonIE088YUjZnj17zI1vKDseCQjnyWik73V9DgEOVmT4NuJF3ZzYQhvby2bdbMRLdSoeAV6XlXoCL16bS7/gtelC1Heh4/GlX1b2nRnPYCGxUahbraQJmfR/bYVXfnulXyJwSR5FfFUXZh8um+aR/wMljxa1eWBdupQWgjamNO4LKbxsaOOh96cE2GQvSCWT0tajnqa7htiWu01rZhljQ9M9SRI2Z86cQVLAz0uXLpUlS5bIww8/LBs3bpTWSa1y0/KbRrWQcX8+1GtgbFmh8WXlBnO4/dHtyhddsIyXG9q5hvtNNdZRJ4oXVkeb8KJOtDzRmkLMbJq4wT5GKyexC4VCpj2prw1CnWixCIfCo14ntdCVlic+ZIXDocGUNbXQY7hj0pJOiURy8arDbVPtdexn1CsNK49NehEH6tbXx6LRbjNuOCmIqo3R0OOx/8fjbnN98mHeFr2oJ3WjhdONrKScsFbte8DCiMjcySK/tjotXX0I5gf5mtToljrEW/HBMsoAf0yQ8yMcKI327cZn5vBqjuDegBJIeC6ourCf0Trs3M+pAFZJH1J1ZEAYG5HkNRIJ1aT8kTPWlhuUmpAx3mx7entk69at8vjjjyNHCFp8GCEp6+3tleefe15mz5pt3JYkNKNJtTv6aLrod+MLgfy+xcFCRRGoBAJD+1n+50ocr5R9sv/bppf112SNhgySKR/u9JMaPNICYsbPbnw2CWBzz+TSh2iQD84k5dntCXnrZEY6U1m5ocEtj6/yy+q5XplWXzvrHvsnoePsyV7EilHvhhBqZNaAJJZyrRT6m5qQMZq5U4hvue+++6S9vd3EH/DCplWMFjH6ifmeecWYb4xMlE+K48kkWWgD6Xb2IWD9oG8fZKqRIlAVBPTaHB5mEjAfI4Fy0UCXbcTajse70vLHLyfl2Jk0YsfgqgT72dadkfc70vK1WwLy5ZUBM3OR+6mWXOamhz79sNYxrC0IV2toHGTcH4pjTcgYTcitLa1y7733XvZ0xfXXX3+90dF56poyZYrcf//9l60behL6WRFQBBQBRUARUASKR6Abwfs/fjchO4+LIP+r4WuGs8Fq1oV6li98kJT1c32yGHFm1SRj+WdCy1gXkrxyWQ8Xpbe2hrp81cr2vmanRLLlEK78sxlu/XDr8n+j7xUBRUARUAQUAUVgZAQYWZH/4pYkVye6svLysYy0gA2QEJDwULhEjLycQZzWlqNJgcGsJgLHmPTDPclEr0FEKdX5a0ZbKnr+ZbGMOabh4chVRbXXnSsCioAioAgoAorAiAj0wPJ1sjMjbx+DCxJ1hNpbPXIDrFxTm3KkJpVBuog0WBldkMMQLvwcsVrDfjXiMcv5BV2mtIpROOmA8W/jUYo6LQbe9/b1CssUdXd3mzguEjHOeuMMFroUmUXfphlw47HR9JwUAUVAEVAEFIHRECB9OY24r+c/TMiLu1PyIeK/4rAyzQi5ZMVMj/zWLUGZNykrTci+v6Q+K7t6c8W28+1OzI7WBgK0aJInF/A/2gEr8B3PIYmUXkzy6gdbYbyYmXhQgWPVepcFkzGSLhKxzZs3y8cff2wIGNeRlHHGYwpJOleuWikrV66U1tZWM/VfLWW1bl49viKgCCgCisBEQ4DuSLoVfwkS9l83x5G9ICuYgGjcjidh6mKKi05MivvmpwMyKeKSR5b65K1zGak3OcZyaIH3mAz3M0DEbpzuqcnsRZ5HP+ofxTHbk3oGkJZjvEpRZIyZ8Wn9uuuuu5EvBaWLkKOEwtxL58+fl3fffVf+6Z9+JPPmzZXPfOYzVuXVGq8NqOelCCgCioAioAjkI8D6jRd60vI3b8Ukytxi4DB091EYnB+DpenNg0n54BOvrJrhkg3X++V/BmF79v24HMCS9XAiiM9aNNMrf3CbX9rg0qx28D6zLiRgFaOLksduBJscj4H7bBNKwWSMVq5ly5YhSah3MEloGvZDjzuXNJTFv9evX4+C3z3y4YcfyuuvvSZ33nmnBJEcU0URUAQUAUVAEVAEqoNAGszr8Nm0fAIiEwAJG86158H6330pJv92rchDN4n8FkjXXQs8suVASt45kpKmsEt+ZblfpiLfGHlcLWxSfYhVSyKejTMokdO96oSwOq2VO0pRZKyurs78KpFIyNmzZ2Xbtm2yZs0aYwGj67Ktrc24KG+77TY5duwYymbke5+reVp6LEVAEVAEFAFFYGIiAG+jMH8Yb/CsojjSjd4HsvaT/S5ZM19kVrNLTqB6+Pun0nIWMyiPdiH/WHdcbpvnlcdu8stCBP1X0zKVRh1Kxoqh+JY0BN3DEsrx1LojtdGw50jrGOPE+lHb4Ze//KUp7dDV3SXb39kup0+fNslan/zykzJ7zmxT0mjYnehKRUARUAQUAUVAEagYAh6YwtoaPdILe4iZNEnT1jDihjvzDEjXO8ezcrorKX/0Kspwwa3pxfbMcH+uPy1HMAngPF5/+nDYJH4dzso2zK6veVUCxcBTeLHoDmdRVttNes0nUOQOSjJd0TLW09Mj9953L+paRc3syt/5nd+RhdctlBMnTwC0Whg0izxz3VwRUAQUAUVAERiHCHDmYfsUj3x1oVfq6N4b4Ry5vgMWtKPINfZ3OxLSiPfwCA4G6zPWLAnr1DMfYzbmsZTEkAW/GsKjxDMByYJLNKCwOasHjHQO1dCnGscomoyRaDF9xezZs+VnP/uZvPnmm6aEEbPnsxgwiwKrKAKKgCKgCCgCikBtEKA9hPm4vrA6KLMmeyU2ghrgXoK0Yybz/tHTKBoOsjWUbpEEIQOG7D+XRhnDEXZUxtV0sUYRK9afZqHyHBkr4+6t3VXRZIxnwmLdK1asEMaQzZkzx7gkDx8+LOcvnDef6cpUUQQUAUVAEVAEFIHaIEASNbkexhM/rEwj3JI5szIMn+Q7h5NyrjeDOtBX6sr98J6O7FVwG46woyt/VvKaNHTohsKkEXRP+sdbRfARkCkqZix/H+fOnZNbb71VGhsbjVuSlrEv/caXpK6+Tt2U+UDpe0VAEVAEFAFFoAYI0L3HRKngNFcIeVcA37tBsHYjxxi8mVdYxZwfoSqlHEfSWGbz58xGU3Tc+bLMyyRmgvI4XldWwkzyWpLJqMxKVWF3JZ2mE8T/7W9/W374wx/KoUOHZPLkyYaY0WqmoggoAoqAIqAIKAK1Q4CuyoawW1YhYWsGd3rmS3U4GYkYKww1I5FqC17Mcj+SzYskIY4Msv91Z1L+8a2EnMNMy0o5v2h464erlDNBfa44ZoFWwS9auya67MglWcb8Pj/clCulvb1djh8/Ltu3bzcJX2kpmzFjhtTX1xvrmAbyX4a1flAEFAFFQBFQBKqGgAdM6sFlPjmH2ZDffT8pQbAdugGDsIhNQmD8/7ouKB+cTMiuMzk2NhIho8KTweS+vzcpq+Z4MFMTvs8KSAIkjEleSQBD7iR4REkUpQKaVX6XJZ1pOsMalT2mNiWTwDIr/44dO+TMmTNyww03mID+WbNmmeSwdF9WUzRerZpoT8xj6UPGxGz3Wpy19rXiUFe8LseLaSimN3nkd+4KYumW1w+m5PiFnLtxNpK5dqFYpR/5LTBhEpYo/HYENsa7OOPLMrGMHDoLNnfD5ccpxyda23qhD2PT6gJI8ooVVGmiSElkLIaaVi+9+JKpUckC4axFuXz5cpk0aZJ0dnbKs88+K5/+9Kdl8eLFhpBVE0ySMedVzeOOdKwsnkQcfZzlSNtWcz1nvmZRziqbRXblAcyqefzRjsUyW45OmeEiSkf7cYW/c/TiYWzSjf3M6ATsXBm7hjBiRqGOCBE2723547Sns7RLL6AFMwbLwtgiufGMbQjXl0W6Of3ftKNl/cxgZnp+dcbaoYTUByY1ucElX1obENqzvteJrAdowg9Op2X3ecyQBMsK40Wr1GjCVsfwgqwJvKeV21XpMjM1GStGQliP4uWZKN5i7LBpnCU+Tl8bDatSviuJjIVQ4ohky+/3D1q/nA7Am/yCBQvk+eefNzMruY3zXSkKFvobHoMkkUXLubRF2HCpdMrU7/R4+Gxhh1AvWjgd3OzQKqeFgxnTpNiEGbVzdLPpRuTolUwlpae7x6qbN3XjmMBXd083P1oljm5dXch8aZGw3i/FWdqimjNuUJ94PG6LWua65HhGScG0YhuBNbqBUxMzVHmsKG5m7/jDZyDGjVH60FTbjrrk37+B2DFknxr0V6GbefCiZexqwmeCbrzCnph0d8fM/q/2m2K+j6Z9qJkZQI6zNCxwUdw3E7ifo+SiRfdN53x4Ty+3lETGyFQ5iDHHWDQalaamJvOihaylpUXa29vloYceEpK2ahAxBxQSvyAKmFeLADrHHW1JrIhRIIBOhk5VTTyuphcHBo/Hi1QlXmv0os7EjISa7Ug3uDWCAYuDKhMdB0NBq3QjZnwQCUfCmH00ONRaAR3Hir6+PpOf0Jb+7wCTSCQlgeuAFn6bhNcm25TjmU2Y0VLBa5M6cUyzRTeSxHgibiwp1mEG3WLxymNG8sXC2h/D2rXjSBoZ9dNShwD+lYjxasbyxwcS0urKSP5jh1M8vNC+78fQ4vL6cS2Xd6IeIJIOMD0meW2MeKU+EEZi+TT6fwj3gfIeq9BzHWk7XgNMel9uKfpOR0U4UGzZskWY3oKlkd5//31Dwvj+s5/9rNx4443GOlbNC5V68SbEG7htZIx4kVRwpmk1MRmts3CgTyGDn9frsQov6pyGXgl3wmDGtrRJaK1zIyqW7WmTbmxPt8uNRI8+8aBNbRLHwsn+bxtRzF0HwM2ia5Ntl7PYId2AZZhxnE3C8uTBNWDbOMsHJeJmG2bsY0lYOt0wLVUKMzQLcoCJ7DialG9vTcsW1Jf0wnjTi3iw5Ydc8sBCt3x8EZY5bMPRAZuXJElMyZzc6BMfxuUBo1tJ+8n/EYlYP0xzMZxACMN9Ywh9C2MYjRc0FNg0zlJvZ6zNP4dyvC+ajPGgfDJisP5jjz0m+/btM5Yfxoz94Ac/MAByG1tIB3VRUQQUAUVAESgfAiRlNoqtelUaK8aAnUEs2B88H5X+LpAaHJBO2yb8OXgqJX99JiWYPDlqCovRdMTuDZG7e6pHFqDMUjmFszs5g5Jdqp5JXpmDA3SR1s6JJCX5M8hU6Y7cunWrIWIXL1w0bkqmtbhw4cJEwk/PVRFQBBQBRUARqCkCMViWXtuHVBBMCwEOg7RghtzQDenBC97JHBHD+1KEPzuKP/eg1uWsxpJow7CH5X6Zw6wXgft+TOcMwQ8KT+WElJJQZSzYunXrjPWLNSrpD3/qqadk27Zt0tDQYPz2ExJNPWlFQBFQBBQBRaDKCMTAug5czGXRH/bQYD0MJTVGp2E3uPpKRlWeuAg3NSxW5eJLtIr1ovQRLXsNyOzPAufl2vfVz8iuLQp2U9L8ywBhxonxPf3yN998s1nefffd8t5778myZctkzuw5dp2haqMIKAKKgCKgCIxjBFi+sd7vMq5J8JpLsyUHzpkWKBb55rJUoeuzD0FnjE0rl8SRbb8HZMwLotgIP+q1kMVy6VSr/RRFxuiC/MUvfiEnT540M2k4a5Kuyba2NlOnkjOSbJvJUitg9biKgCKgCCgCikA1EAiCxaye7ZG/2oHUEzQtDcO6hllVlGoMQJre7BEei/u6VgsWY8RYEJxZIurB9BgrNlFdlGyIgskYZ0HNmjlLvvKVrxjr2LZt78jRo0dMMP/bb79trGbc5ld/9VeNxYw7V1EEFAFFQBFQBBSByiIQQrzVqrk++eKStDz3UULiiB1z0lbQalas8CfMK+ZY2Zg49qY6HsMjYViwStjlZSqQzJlYMZAxN+YDNGEG5bXu87IDjMEPBZMxnhunzAc9QWP9Onv2jDz44IMmRoyJCenCfO6558xsSroxdTblGOwNqrIioAgoAorAmEKAFqYo3H1HL2RQM1JkVsQtx5BwrBEzE4MgaRf6s6b4dqEnZaxTYEY9YGN1sIFlwObmIWj/i8jgvxAzKR1X4rVYx4xVDEH7yEQiEaSzCMHFOpGtYmybosiY05i0gJFsnT9/XhobGw0hY3FwBvOzHJISMQcpXSoCioAioAgoApVDoBNWsJ3HUvIPb8VlK0oceUDMEAuP/Fwid8/3ynO7k9Kbn3V/FFVoncriz/JpHrlzgU+6+rKmlNKymR6Z3eyWU51ZJJVNih955loiLmkF8WNusGKsWiRxjDtjOgukRjR5xWiFm+hSNBkj0aqrq5O77rpLfvzjH8sHH3wgixYuMpnJN2/eLF/4whdMgL8SsonetfT8FQFFQBFQBCqJAFNxvXc8Jf/mxaicwmxKeBKNoKyjfNCBWYr7wcKKIDrgRpKAJWzpTK98/e6g0D1Jd2dXNCM/3B6X/29fSrr7UC8V5rHbQNC+CmvZdbCW0QJXqJgZlCg4HkOsWEuI6SwK/22hxxiL2xVNxniSLINx3XXXyW//9m/L7t275Qhixzi7kp/nzp2rlrGx2BNUZ0VAEVAEFIExgwBdfTFYwV49kJRuJnoFp6HVicK0rE34fBGWrRbEeDFujNszBoxLugRJvIYTpsAI5FUgOolksv+wJS7/sDMpk1y55KyC5U93Z+Tw+az80X0BWdvO6jLD7e3KdSmwuw5YxahTPWdQljeH7JUHHCNrSiJjtHqRfDHx65o1awcD9sPhsHWlC8ZIO6iaioAioAgoAopAwQiQeKE6mxzqzgoMVybrfv6PSbZo1boA4mPe43MQxGca3Iv9sEqdRSzZUEJGshbANnWINyO34u/3nEzLT/cmpQ5mOOzKrOexyaH2nE3LC7tTsny6t6C4L1ryotA5jlckgGNxBiX2o1JizBiBIyFz6i0CVsVSEVAEFAFFQBFQBKqEAEkMrVF0JY5kXKIVjGWRKNweMfNy0yyv9IJVPfdx6goCx3ixaZjZuHiyW871ZMyMxx3H0xIFcXPMbnhnhMdknrCd5/A9KgDQVXk16xjm+kk3lCAp4wxKT0nmoAEFxtmiZCg4Y5IFgLlkQD+LFLsQhUeSpvFi46yX6OkoAoqAIqAIWIUAiU8IFqwbJ3vkzQMplDwacCGOoCVJFBO/vnIsLf/TDT6ZgtmX0d4MakDmLGD82QG8/9XZbjOz77+/GZNj3Rk5ej5jLGRDrWjcnpY07pMvvh9uG25H4fF7EzgmiBuD/iPQ3ZmZaTaY4H9KImNpIN/d0y3bt28XprWYNGmSTJ48WRrqGyRSFzExZRMcVz19RUARUAQUAUWgoggwc/29i33y6tGUbMOLPirGYo0kJD/9/RnZcyIt33okJH/3RlzehxuSWfCbEb/1jZV+6YYL8YkfRWUq6BMJAvjTsCSLZBB8StobMKkPAWujzYg0RBD76YrlNGsO04AzkpYTc31JZKynt0d++tOfGsRYi/Lo0aOyZ88e6enpkfvuu08WLVpUMJq0rFHyrWlD85QN/VzwznVDRUARUAQUAUVgnCJAQjSn1S3//lMh+ef3E7Lnk5Qc78yY3GK5O+vlJ24sV7BiHexIm+LcjCFDSjJj+eqBy/HNo2k5hu8aESwGA5YkLv/54CdawehqbGxwy2ev9yHg/ypkDNv2gYglcAzGiZmYNCVjg3jyTdFkjMQokUgY4vWZz3zG5Bnjjvr6+qSrq2vwM9ddTbq7uyUa5SRckSlTppgl98H909JGYTJZkjxa3zhpIJ+0mQ30jyKgCCgCioAiMEER4IzEJW0emdMSRB6wjPx4V0K+uzMhWRCf4YRr+2AJ+88b47L/IplYboZlPyxib8O6RsvaaO5GHwhcGOQrUOeW30Nqi5XtXlNbcrhjcR2Px4kAnZhlwPf1SILGfSgXIzqXZDTML22V945kKBQKmdQWtIgxVowJX1mfcsmSJYOkKu8nV7x1CN2Od3fI008/LS+99JJxd2aQgOTVV1+VTZs2Cd/H43HZsWOH/OQnP4Fptd+su2JnukIRqDIC+kBQZcD1cIpAgQhM1GuT5KYBrsLF0z1y/1K/tLd6TAzXSLBxRuPeM2BhCKgfcE4ZAjaai9PZFwuSf/4mvzz1RFgexnIqSNlowv3HYGbrBQFkkH99QEsfDYdXSZYxkilm2mdNyrfeessQMCaCJSFbvHixTJ06dbhjDa6jNezdd9+VTW9skkcffVTmzp1rZmYy/oxCEpZBVCG32bVrl3z2s5+V+rp61LAavdEHD6BvFIEKIMB+78hEHfSd89dldRDQflYdnMfDUeiy5BBlRin6EK8ijNm6+lZX7iQA1tCOSQNtjR4U977y+6FrmG3/IuLUaAkjYfQV8BvugxMCJ5IUCEsOEgbuR2MxSSVTcvvtt8vSpUtNoXBareheZHkkx+04Goh0Q+7cuVNuu+02uXjxoiFi7e3txgWZRrEq7oOTA9588025++67DckjERttYOJ3mUwGMzwxqwTvR9t2NN3K/R1v4NTLIZo26ZVOpzAT1mVmxdqiF/EnXnyxL3DGri3itKWjmy16UQ+DGR5gUmhTPsjYJGzHLG4OvAZs6mcGN9wpaIV3rk9bcKM+7G/s/zZhRp04bmSzbqt0y+mVHhxrJyJmJFYYNuW9o0nEhGVMuotSyNZo1wBjyILIDzarOQNLWhLXzWhb577rS7gkGneBuGXE78K4jt/AJjeq5LenTfcAKk3dKjHGFkzGqAAH+rfe2irz5883hIkDRlNTk7S2tsqMGTNMiovm5uZRQeaXBPfs2bOGhPGi6ejokA0bNsj1119vLiYStJ///OeyevVqU++SbtFCLi6SvGi0Hx0kL33wVbWp7AbEjefLm5GT+qOyRyxs705np24ej6cgfAvb87Vv5ejG/sVcdjYJb9zpDIJfEctok24OZnwwKuRaqSamhuxg7GBcqXW64QEzhfakbjYJr0tiRSJrG2ZmzHB7rCLXTv/nkg8mNmGWrxvHtErphlM3CVXfO4GejGfYchMx2qlwq5DJTXgFY9LXP/rMTV5PtIp1J4OSyvqkzp2QeAwErgCDl9OO0f6odR4xo1sFHniLutNRCbohKQcPHpT9+/ebWC6SIA4anFmZH9RvNhzmD7fl4Ldu3TqZNWuWmY35zDPPyMyZM82F9P7778tNN91k4sdYdmnatGlX7cDUjWWaIpGICfQf5rA1WcWBgTfIYDBoFemhXnQHuzGo+v12TYygbjFYYP2odGsT4WEHYt+l5ZbtaZNuxIy6sQoG8/7ZJNSrHyM3r81K3YhKPV8SC14HxM0m3dj/Oaaxn9mkF3WibraNG9TLhLfgOij04b3UPlPs7xzM2I68R1WiPXH6koS56TwSqp5Hf45n06Y8UrG6jrY948m6EfP1yPUBmQE3ZSHSHccMSljG6M6cVB8QjxsJxgoQYtbb0yvBEOpjYuKeTcKxlhklyi0FkzE+3b7xxhsmHmzevPlyxx13yNq1a3MmOyqHGY+SDyZfAABAAElEQVS0cNFSRiApI3U6WmIci1o4FDb7ZCel8Du6QD//+c/Ls88+K1u2bJG2aW3S1Nx01ZsMj8cbkVU3SeCWr9dImJiTr+IftmfClQDebvs6+xDMqghLQYdiG7Kf2tTPeM1xMo1t/Z+AUjdahYmXLf3faWgSRepk24DP/kXdbMPMtKUZZ+1qT+rluHZtxIzklSEhldKtE0kJXkVR8L98DQXDe7JwBzo9/Mql+Qp/Bm7TV24wzBoGPiDsS9Y0u2XBZMyevEpBSTIAhq0xySulJQxChlkGLtS0LEZsG2epuxlrR51vWswZXtq2YDLGwZRWqs2bN8upU6dk4cKFxj3JJ0p2MCZ8ZXoKKkoXDokZLVq0bgwVDnx8SqZ1jVYjx2XJ9fw9nwY5IYA5y372s5/Jxlc3ygMPPGCeKq721O8M9s5y6LGr/dlxTVIf51VtHYY7Xk6vS3F4tuCVr6tNeOXr5by3CTNeNxRTCQN9zSbJxyn/vU06UhebdKMuLpBr2/TK6XNJL1swc/q/AQx/bNGL+uTrlmvX8l6fzBN27EJa/uqNmFwEEXPh80i28SBux37k+ToNN2YEqS8KpUZ+7DAChvfY8oDMwkzNq+HL4agfMyhjCDJjpImZQYl9oFc7TTTqcihmo25c5S/zdSvnoQsmYyRBs2bOMkH3r732mhw4cMDEeE1rmyaRcMRYCqgYTcXHjx03AW4jzaqkFWzdunXy/PPPm5iw48ePyz333GPMyzxREjXeVKa3TTdWsr/+67+WVatWmeOP2MvKiYruSxFQBBQBRUARGAMIMG3EtsNJ2XQuI/NBePB/WEmBIC0BkfrUMp8cRymkZ99LDCZ8HfYH+SvhlXxsqU82LPFKI2ZEXk1oFetEPUsG6jchTT/dlFf/1dX2Or6/L5iMEQYPTJNz5841sxuPHDki77zzjkk9wbgLWsdIshg3RqvZihUrRjT906dPcjV7zmzjFyb5InEjEWPMGc3zzuxJBvX/pz/7T9YF8Y3vbqFnpwgoAoqAIjAWEGAC10Nn09Jm7FwjUx44t+QMYsoakOfrC7f45JWPkkg5AcJ0FfNYGr+bgkz7X70rKJOQU4z7GU1IxGKwurEgeAjWtEbmFbvKb0bb30T5rigy5oBC0jVv3jwzg5LBbI44Jli6G/m6mimzualZ+HKE29M9aWYeDrQeSV5jY6PZRPOMOUjpUhFQBBQBRUARQDZ73MUjIDxdsD2FRgGEFrOOnow89U5cfgeB8SHkCfMmUpKCK3E0PtZW55I/uCUozSG3yc4/EBExIsEyecX6crygGQphfphKAQiURMZImhgLNlw8WAHHHNyEhG2omJiwPDsrj0WLnIoioAgoAoqAIqAIXI5A2OeWFXM8MnkXJqKAKTHrwkjkKoocXwdRMmnnkZQ8scwrf/E6A8yw9SWbymU7Z16xpohbrke5JZKwoyifxNqXjAebCTI3CwH9dSjH5FjLuE0U3/XjhyHEp4URbOZ8d9mO9cMVCJRExq7Yi65QBBQBRUARUAQUgaojQNKzfJZX7pjvlYMnUoYMweA1rPuR3kIXgsdOglD9/rqwvI9alP+8L2UsasMRuCAYwuQWlDyEhevtI0n5p3fjsvlMRs5gH7c3eeSRG/1y93VeZOPPuSKTIHXdMSRRxnIyYsvUjlJ4dyiZjNE9yanEFA+m7TrixHo5n3WpCCgCioAioAgoApVBgBE9JEN/+WBI/sdbCXnz45ScwOzKHliohpM0fjApgpxncEyxODiyGw2bEp+xZLObPfLE9T450ZWRf/HP/ZJEjBmTUDXhmDt6UrLpdFq+fsEvf7ghCHekyxQg70duMe67AW5Nb56XazhddN0lBEoiY729ffLBB+/LK6+8YrLLMwM/Xy0tLbJs2TKTvPXSIfSdIqAIKAKKgCKgCFQKARIquhO/entAPr/KL69/lJDfeCEmC7Geqb1Iy2gVY3G5GSBity/wSkdvRnacRx5MeCqH0jbOvPwY1q1/vdQrLYgZ+7vNcXEhIJ+EgTMk+QMmgW1CtP47h1PyEUjZ4javdEVz6TKYVwwZNFSKQKBoMsYZj7FYVHbs2CG33HKLsPwRMzIz6SvrU3JmpYoioAgoAoqAIqAIVAcB8h5aoZpBguoRw7V+sV++cTItv9gP7xUtZANsK4LvH1nulxvh1nQzwAsyrPGKO8QrgrQUfbB0bUHaDJIF3t0HdoV3IGYgbD3IBrsXrssZLaicglmUtIrVMTGZkjGDUaF/iiZjzgxJpqeYMXOGyQXGJK0MvGdKCmbMVVEEFAFFQBFQBBSB6iNAUjYZVrJ/c08QecWS8trBlFyEVastLPLAsoDcvtBrUlREkRJjMaxeb3VeScjgcZSliPmaMwmVIEC4UMJVrpxul/sd3Zn9CBbrgFUMmyLBK7PtKxcrtuWLJmM8AGdBMgXF008/LXfeeacsvG6hKW/EdUxFoaIIKAKKgCKgCCgCtUGAZGhqg0e+dpdHvnQrZjjC7xhBsJcXUxsZY5aAievjsxk5jIz9w1nGAriN34UJAfNAxkiyFjW55WOkq8i3ivHM6LIMgrnNwrEYK8aEsHXMK1ab0x7TRy2JOdEqtnLlSmmd1CqHPz4sW7dsNa5K5gN76KGHTGb+MY2KKq8IKAKKgCKgCIxxBEi8SMxYAonv+SKh6oxn5P/ZHpMkrGP0ZeWTLBKs9zMu+eO5Pgnjtw1Bt/w24tC+ArfnJASg0btJssXf0PayYKpHpoGscSXJGLPtqxSPQEmw0fo1Y8YMYyFj0tbFixebI9NixiB+FUVAEVAEFAFFQBGoDQJMLUE3JC1iSEMmIfxhLBeFRIqJEI6fQ3H1EdLvLwdDO98LWubymSz6tyHg/5vrA/L63pQc7k5LN/Y/H7Mll8z2ysPXI/4Mx6DlLQwrmeYVMzAX/ackMsbYMBYDZxD/7t27TbzY8uXLZc2aNaYcUtFa6A8UAUVAEVAEFAFF4JoQoNWqB/FhZ5Bp/62DSfkYgfcM6l8O0nT9dI80hd3iB9EiIfNdZg+7dFh+xxfLGlE4U7MZv/uttUG5Z0FaPsTMyW5Y1hZPRnlEuDEZ4B9F4D63YTUAldIQKAk6ErHnnnvOxIfRLUlyxjqV3/nOd+SxRx+T9rntpWmjv1IEFAFFQBFQBBSBkhCgoevV/Un5v1+PyRsgYi1wK17MumRGMCFfWuaXf7UhIK0I7vfgzt8+yS1nOzISHULKGIR/FvtZNNU7SNzo3qRlbdE0jyzEiz/hOpK+OOPRkHiWMy/VKlZSs5kfgfMWJ0xtwfQVJGQbNmwwNSpZGPzRRx+VOe1z5NTpU8XtULdWBBQBRUARUAQUgWtCgFaxQ2fS8t+3J6QDfsR2WrTAjuZjGQJheuq9hLwGN2MPAvIbkXrit9YE5TyTgYFbkYBRTBYMuBo/N88rK/EKcFrlEHHWxFkMHPviLlhAnHnHVEpHoGgyxtQWTGUxdepU2bx5s5w5c0b6+vokkUhILBozVrLS1dFfKgKKgCKgCCgCikCxCNAq9s6xtHzSkZYYYsL8IEfgWTmShO/8IGQv7EnIOcyKZJA9603+v78SlNvnuWVRK7LtI63+Srgyv3SzX3737qBJUTFSBn3sTrrgDoVTTIKwiAVxMFrKVEpHoGg3JcsgBQIBuXvd3fKD7/9A9n/0kSy5/nqT8PXo0aMm1UXp6ugvFQH7EXBy7dmvqWqoCEwsBCb6tXmyi2WQcjnBOCvSEVpdkAtWPobFrBNJWl2I9SIhuwc5x5a0uORsb0B6U16ZiVmRU1FaqQGzIkciVyRiSZC9zj68wz6bsOORSJtzfF1eHYGiyBiJWH9/VPyYKzupdZJ87Wtfk0OHDsmJEyfMLMrPPfg5aWpuuvpRdQtFYAwiQBe9IxN90Hdw0GVlEbC2n6kVpLINX+Le60CigjCHgStdITCMyVTMgGR2fBItDmcs5N1aJzINxcADuK+PRMDyd8aZmp0oBh4D25tc75IwLGOV6A6uCRaAVjAZ440oHo/LP/7jd0wZpIsXL0p3d7cw59ikSZMGU1qweLjfj2i+KgsHLZJFukttEuKWRvriBLLs5d/MbdAxlaJOeEoq5AqsssKcFMK+ZBtm7GNsT+rG97YIccqgLZNo01R6uKG4dpoazNCeNpZKS6EtM0gxbtu44fQv2/RiL0qjf2WQhyrhtmusZf/idWBjPxvErIL3J5y63D4nK7/4UGRvNOeidK56WskO4fWH80VaQinpj6ZQR9KNlyBHaEZa61MyuSEXlO/8ZujSEDisjKfcsIrlak+GPRgLETuWb4Ub+rtSP/MewBd5h03ijLXl1qlgMsYDM7/YI488Ym5E/Mwg/nPnzsnZs2eN6zKLubC33nartLe38+uqCy9C227gbLh0hjfvJAawSnTZ0mA2HQo3IS75skmMTuhLvAhtK69lcAPpoW4sAWaLGL1ADqmXbeSaZIwv2wZVtp0Z8HFd2qZbin4giG16USeOs7wubdPNIf2slWzbNcAHuGrINJQ8emip28SMHYXL0o3nRRqYfLBefX22GwXCM3KhNy6/+CAtrxx2Sw9IFadG1kWScu/cuKyD27IhlEtt4eibgOq9MZFzKCzOEc/j84vL65fmIO4fqbgkRshV5vy+1CXHND6M2DTOOudC3cotBZMxdm4mdW1tbZVoNGpAuvfe+3Ajh7kSnZ9B/OfPn6/ZzZPgMJaNkwu4tEU42FM36uXzwgxsiemVerHdSLD9vLgs0YvtRt36+/tzmKHP2SJ82CCxZnvSIszrwRYxpAIDPvWyrSSZY7GIhCNW9TO2HQkFrwOrdMM4H4vnJkOFQ2GrMOM1wHsByVjAH7BGN+oVRTt6YKnhNWDTQ5wZa10giEjYFfIHK4oZPI7yyArUnJyeln96NymnOzPGjXjrfI88sNRvUlA8/2FC/vXmrPgRgM9cY4DOpLB4/6RbprUGZO1cj4RZ6BvSj3xiJ7GPF95PyrsnaDlzSXtzRm5blJHZC7CdL2JcnWbjMv5he/KBhPfNWnjaRjsVtqfzsDTadsV+VzAZ4455Ezp16pRs2bxFDhw8II899phMnz7d1KUkSXOemIpVopzbs7M4r3Lu91r2RX3I7t24GPneFnG5cvrYppcz4Du42YJXFjl76Aqk2Kabg5HH7bHuSdJ5siXhd947+tZ6yXY0bWnTtYmbY04vXJ+WYcZrwBGbdIPtFX2LoSqw3IAo2tfPMP4jsqoaY20zrGO3glCtnevHeEXynOtPnFl5/EJafrobhBVEbDCYiLck4NYDl+XfbE1KW5NXbmjLkbHtmJ35HzfGZScSvSItmZGtJ0U2Yv1/DoRlRbsXD6Xljxlz+pmt42wOifL+LYqM8dD1dfXS2NRorGPPPPOMcT9EIhGZNm2anD1zVu68605D0MqrZuF7Y+OpKAKVQED7ViVQ1X1egYDlQxgf4ih6PVzRclasyJEvuCeNNpc6E3iZHL6QkXMoZzTcjZ/5wvadScmLHySQX8wvrZgM8Leb43LqYlqaL+1G4MWUNEot/fmbcflLBP6zmHhFIvitQLN6SgzXJiMenRdffUO9rF692pj2WZOSZn66LXt6emTmzJmyYMGCEX+vXygCioAioAgoAopAbRBgLUqSsgEj12VK0ObpQqji93Yl5ANk7398qU/eOZcWD9aRqDnCtwmsO4HvLiJnmSFjzpe6LBmBosgYj8I4mcbGRlm/fv3gQZ0nJJqH6eNVUQQUAUVAEVAEFAF7EKDFbFazR1pQQ9IE91/yOA8qSTdvd39W3jyUlCjyiDFz/9A5s/wZ48w4i5KkzJC4wT3om1IRKJqM8UC0hu3YuUO2btlqTNUMGOZrypQpJulre3t7qfro7xQBRUARUAQUAUWgAgjMhFtx2RyvvHQyLdOw/2H4mLGCMTRw39mUuEDOhpIEWsYQYinuoBuZ9xl3XAFFJ+Auh+J8VQgYxM/ZR3v37JUHH3xQmpubTdxYZ2encVXaNpPrqiekGygCioAioAgoAhMAAT+C7b+8OiBhEKjv7UggKwJmLYJwDRWSrQBKHC1ENv59F5ExAds5c8dpKeNkic9gNuV0lFBS09hQ9Er7XDQZo0uSM7aamppMTq/6+noJh8PS1tZmUhIoGSutIfRXioAioAgoAopAJRFg2aI2EKyHV/jlDcyIPHw6hXQ9V1rIfNiuod4tv7YmIBv3J2XniZRcYO5VcK+piERa2OaVJ9cGpRHWMbWMlafFiiZjPKzX5zWxYc8995zcfvvtMmvWLJOBn/FkNuV3KQ9EuhdFQBFQBBQBRWB8IMASSD6Py9SoHPGMQLpunuaWdsyU/HyjS1bN8cjxDvgusf4GFBO/Fa7OqQ1I1wHSplIeBEoiYwzSX7lypbGOHTx4ULZu3Wq04fr77rtPbrzxxvJop3tRBBQBRUARUAQUgWtCgDMoGR8GLmUkjVmVSaSnoIuS6/OFCfWRhkwWtXpgNcvIFFjIbpyB5OAgcMxqQksYZ1eqRSwftWt/XxIZoyty6tSpJpCfLkpmPJ48ebJxU9J9qaIIKAKKgCKgCCgCtUUAJZHl4Pm0bD6QlANnkF8Md/y1c30yHYnDQnVu6UOtoyvclCBaCTCtRhQV98D0VR90SQTllCi5v0rEKtGqJZExzqbct2+ffPjhh8KC4czCf911C2UnZlg2NKDaqIoioAgoAoqAIqAI1AwBpqnYdiwp30bi1i2YPelFKgomGPvlxylZPcsrN053y3Md2MhUFsnlHkMmC4QhwRU52S1tLSBhSNMfhBnsPOpSHkdZpDRyWjQjNcY0ELk6kDS1jpWveYsmY5xNyQLhdE2uW7dOTp8+LUePHkWsmFv27t1rgvnpwlRRBBQBRUARUAQUgeojQPdjTzQjf/bLmBxCclYfPuO/+dPRk5VX96fkSzf75Z55HnnucFoaQbJYrqkTm8wGEfv1VQFjGWvAtMsTIGw/QyLYnx9NSRfY2grkKntimU/uXOQzdS8Z7K9y7QgUTcacQ3JWJQt4Mk6MbksWm2aeMRYMV1EEFAFFQBFQBBSB2iCQgBXsg2Mp2YG0FKH05bnCeNMPIlLspcMp+auHg/Lwkph8iHqTiYxHrpvqlQXTcuWN6uCaPAwX5//1Wly2Y1/NIF0IG5O3Qc42gpj9Syx/YzXu+7CSqVw7AkWTMVMSCeks7rjjDvnud78rLBBOAvba66/Jjh075IknnjAFxZ2s/Neuou5BEVAEFAFFQBFQBApFgBnyz/aITAJ5QkL9S8FeAzug5SwGy5kfvOumWSLLZvtgVPEbt+P5XgT34/tGFKH89qaEHET6C9bVSWAdY8ZoYaMl7Se74rJ+vlcmwW2psyoHgL2GRUmUlukrZs+eLQ899JBxS9I6tn//frn//vtNfcpr0Ed/qggoAorAhEaAM99UFIFrQYDGkKawSJQ7caLuB3bI7kWylkIpox3HU3KyK2tmSjZF3IPljRgrloRF7fWTSPiKSQDgbEb4W5IGErO9nVnZj0kBSexH5doRKNoylkgkpLenVz7c/aEsX74cgfvXDSZ7JUljrrGrWcUYd5ZCT4jHE8jenwar9piMvgF/QFJpJKFLpw3J4+klsA3XkfC5lX5fe4vrHhQBRcA6BBhszZQCNDu43LliztYpqQqNGQT8uLNfj3xgzSGXdMNlyRmT+ZYXBur3IbXFNzcmZOlUkW/cju1nZqUjmjVpK5pg7eqF5ew0NmTcP4xklwm76nn86TEZ/EHmwPiGcL7LttcPV0egKDJGEnX48GF5+eWXzfLs2bMyZ84ck9aiob5B3t75tkybNk2WLl066pFJ6A4cOCAbN2402wUCAZOz7L5775Odu3aalBn3f+p+892evXtk185d8rnPfc4UKPcwY52KIqAIKALjBAFawnqQ2OliTwYPniIt9S4J6DA3Tlq3NqfhQ/+Z1uSRP7wrKH/xRkzeRezYTKiCKkaDpAxdTXwgUx8eF/nDn8fkj+93oe95pDXiEgblN8NStqLOJbu68ICAPkoC5gjzjC0Ee5jV5Ea8uBIxB5drWRZFxmjxYhqLW265Rbq6ukzgPt2Tmzdvlmg0ampWPv7o41fVJwm75pEjR2TGjBmyePFik6eMFrVQOCSsccnal5lsxhC2LVu2yNo1a6Wuvk7cLJiloggoAorAOEGAloitB5Pyj+8mZE83UgfgjjcbJWYeW5yR9YvcMhc3RhVFoBQE6Ehat9gnUxpcsnFfSt7+OCnHujKC1GKD4iR97UBg2XfeTkgd0lp0gaCFQbCWzkCm/ble2XE+I0n0U6YaY2+kVS0I5rBwpleum+IxRcMHd6hvSkagKDLGo7AW5aJFiw35olWMxIl5x7gMBUMycxb59+iShtvx/Pnzpp4lXY8kYkwiS6H1jfs7dOiQvPjii4asXbfwuoLdn/w9X7ZIFs55Rydb9DL6GL0y0M1tF15oOxJxCvXMwH9zNbd3tdraaUcrdWMQCITYudGmNonT7821wEdsi8RpU0fHaqrWj5vee6gP+B82xuQiiFg/Ym/Y8/e7kJIApWeySHf+RENG6uFquiLwp5qK5h0rhxe19EgGvi9bHpDZtzID14B5DyRtGDcMXgNjLTFz+lu1dGtC5P2q2R5YsFwSRaDXKeQLyydjztVIi+y7n6RMLJmh//jzJuLJbpzulfuQ/oIJY/tAyPiwEAZha23xyL+6wy+T69AVeM/N6yPleOtcj1zadA/gubF/VUKKJmNUIoT4LZY8YtLX48ePm2D+1atWSxSELBBA5N8o4oDc398v27dvl3feecds/dhjj5n9EHjmMfvRj34kCxculJtuuskQwKt1Xn7PWDO6QJ1jjKJGVb6iTqYzYdCiXjw3W4R6ES9bsMrHxdHNNsyoo9XtifjLZDJpXbum0f/NtZlMICo4v6Vr/97Biw+A1RQMDXIKhOuH29NyFC4kpHMSw7kGlIhHXfKLfRlZPTsui6ZxHKmmdqMfi205eIO0qD35kE+94om4FUTMQdEZzwYxc76o4pKzJsP+tElNMdxhTf9CHyMRM10Nf7x4McD/wes98s37vPIOEshGEUB23WQPCJ4bFrc0tk/DeDLcHq99HR8seX1SbLtPOQaDaz/LS3soiYz19vXKSy+9JBcuXAD5Csju3bthLVskzz77rNxzzz2GVI1EnriewfgbNmww1q66ujqTzf+pp56S3/u93zOgM0VGW1ubcVOSjBUqtpEx6s1OlMqkxJVyWUfGOInCjadvdiybvP7O4EX8bCKwTnumQXpsbE/iRgI70rVH/Wsh1IvtSN1sE+rl4FZN3XjT23caLsrT8Dbgg7kB5imA5OZyEBnPdx5PytwWjiN5X9b4rTNuJMSe9jR9jKTfTAizzzJMzGoqOPzyKS75HvoR3YyM+RoqQ7sYt+PrwIW0NAXS8oVVLjPRjp3RLSkQpaF7KO9nXpvEzbZ7AM+S/a3cUjQZoxJ8imTw/gMPPCBHDh+RI0ePSCQSMaWQTpw4YcjYaIryZsH8ZCRinIFJIvfqq6+aE+R3jCN7/PHH5cc//rG8++67xoVJ9+jVbjJMQks9mIDWBnEhWpIEUZAHlwTUxzoTlggJGOP8mLCXs1hNVKclhjvqRsupwQwubEqlTMPFNgdn9vIaYE1Wutdt0Y2YceCiXmxTW/DiNcCnW7q0qBuvd5t0c0Is6iJ1mMUIC1SFXBBD+1kW45wvkMTQEBO0FuwLV0oMj0gejGnhCK5PiKsCN4ArjzryGgefvmgfHuI8xgvChzkbhP2foTLerNfEINvUzxzdXMCKXiUHx2riFoLp9Y4lWVl3MCq/RMb9OFzkA+UmR1WDZMydRZaEQFAaEdzvJDSoZF908EnDd8q617yvV+u6HBUMfEndeE93LHZX276Y74smY9w5rWGTJk0ybkoqxqSvjAHjDbQQ4U1j06ZNsmrVKjNA9/T0mBsILyAKZ2QyjxlnUL7wwguya9cuWbt2rWmUkQgZb5D8jjFojGMYabtC9Cv3Njbq5coQK15ceXjZMa7icQydHm3p4GbawwLd2McYj0XMbNPNtCcGe89AmxpyXe6OXOL+DF4YxHh9871Nug32M2fMqFI/I6+a2eyVlZjxtq07dZmlgkYLkrMFmM22YIrXFGvG5WCFZBHzRyLmRnuS9BM/G4T9n/2L9yPb+hl1IxEjZoP3pir1M6dteGdtwd3+99eFpD4ck83Ivn8O+cXYeqOpQsKGxPzSDVfkeyfRafG5GXkuptajNiW+rFTzs5+R+AyOs6Mp6ZxkFZeVeAgpmowRHLLVu+66y1iuPvroI0OSfvCDH5iLgLMtryZklcwf9swzz8j8+fNNsP7cuXPNfmitcWTevHly8803y9///d8Lv5/eNl00tYWDji6rjYBz4yEpUwFnhiUVXiEjNJB48arU4Dze8CZOs5EW4KFlfnn3VFqC6FPMek7DHNMKZPH92jkeWYzZaopp4a2v1+bIWLEf3dDmkX+JdBezw3H5k80JQS3wK8RxkGBCpcCABhLnkqfejsumMxkzweSGVrd85Ua/3LEQtSn9IJjD7OOKnZawwhZrWAmql/SToskYj0LTPouDM+i+u7tbLl68aFxK7e3txtLl3LRG0ogux4cfeVg++eQT89tly5YZSxjdi8ziT7LGpxvuZ82aNSarP02VKoqAImAHAiRi57rSchz16eKIHZmM+nQsMBxizqEKDc52nHn5tIggMGzDEi8SbQbk73cmJI08Y+T5aax/eH5WnriRMynLdzzdkyJABI4ivcW3dqdkKki/STQ8BBa6JnuxrhGFKGei/+3Aw0IKG7IkEn4iH2Lm79cwC/jfbsjIw3iYmAQLrsq1I1A0GeOTB03Be/fuNTFizBU2c+ZMowndl8YNcRW9uA2ta3RF8rf8zN9SJk+anJueT3cGhOu5HcWWadRGGf2jCExQBC4iJ9EbB5LyX97BDOE+VNCAGSeFp+c7ZrrlyVuCMh/WHFrJVEZHgBYFZjp/YqVfVrd75DTcRiS5kxDRP7MuIfWB7Iiz30bfs36rCIyMwFn0szjSVJBcDSdTMa33IeQXWzHHJ89sjyMdBmdNopblwMY0hjfCjfjDHUm5DTUtW1F2SR/AhkOyuHVFkzFaq/hqaGgwQfd0I7a0tJhgZgboNjY2GutYIWo4BCx/W7oh+c8RErVCCJ6zvS4VAUWgcgjQCvYeprv/6au53Fh4LsPTMuM1RX6E2X9+X0K+fmdA2hqUjRXSCkw50ALLAl+0UtAyRiIbjeZmkfGz3ugKQbLwbegKjiFFg1NTMQhrrg93wkq52wrXrPJbso/1xTMgYsPnBuOczyYE+z9xMyxesHZ/881cbjF4Iwdn/PLKZnjCScyyPA3r+MJpePgiW1O5JgSKJmM8GmeR0VrFLPzME8bAfc5kIbl6+OGH5frrr78mpfTHioAiYB8CGMdRticjL+1JyGHkxkLIk3CQdsQF/8bPP0rKGsQ6/coNqFaX952zjS6vRMDBKf+G5qy7cmtdUyoCJLa0PHajD+9BgtP9iIEKwBW3FBbduZgoEUFA+ni26PL6ZT3KEIISA7hwSUiHCglpGCSMRIyuSWxuSNjQICGSOiaP7cfDGR/IAKNe70PBLPJzSWSMLkbm/2INSrotmfm4v79POjo6jJuxSB10c0VAERgjCJzvzcpRlEdpxOA71PbFgfws3B+HzsKtMXp52jFytqqmjQiQVF0m6HeFSAJmnyPn0/LNl2Py/aMpmYH7FrqrdMEy9n/CEvT12wMyGbMEx6qFLN+KSojyYXGI6Flk4J+F7PmfX+qX/7g1LpOxEQP1KQzWD4F13TvfI9Nb3HK+G9cxLvKhcOe2zuUgG+k7ZxtdFo5ASWSMbkpaxwbzLKGlmT+FLkqvp6RdFq6xbqkIKAI1QYBjtvMEPNIgzFmA/C7/xlATZfWg4xIBuhjPIgB9Hwj/6W7kykKqv+WooTglgvi6Uc6Y/bETFrG/fD0m78EqNh+mHaS+E2YKbIGF6J8/TMhkBKt/9fYQ7muXE5lRdmvNV5yJ249i870wZfEapZWvDhNBHAsrLVkX+pDRHoR0EkoYfX5NAJ4skef2pOQjEDRWKVsOU/cjy33yqSW4t2Mn/OfG+uEEh5MevLqjuaTJYw+x4c6qtusKZk60gHEWZYpFrCA+ONlJvJy8KVz6PXRNDNDs2p6XHl0RUAQqgEAjClfPmeSWNz5JI1np5cInawb/Lpw69JvLt9NPikApCPQj4f+xi2l5BhNHXjyclON9SL4MBnbHVI88usInK6ZnpS7fb553ELonT2Dm7yuHUuKBO52lfkhaKCQiUZjIfvRBUp5YFZAm3MvGkrvyIkjWRyCnG/en5BTiuALwd89FHNfd83wyD6WLaO2K45w7MfEGIdnGBck4ud/EZJs17Uk5eCqGlFFeWTTVh8LfXpM/jGQrBDI3HdfzWSQtJ0b4PyjEbhIuc8Y6unHP19v+IDQlvylq1GRiV5YqampqkilTpkhzc7MJ1mfyPwoD7Wkt04D7kttDf6gIWIsAB+NmzP5bv9gv/4SBPwSLAp/NuJ7xThfw5vPIPbRi1mg2CmtPTxWzGAFatmjZ+fPXYrLpIMw7IBd0lVNe+jglh+BS+6O7MKN3Hu05V0oS25/GBJODsBy1Y4N8zsb+y/innXDBX+zJSgMn9g/1wV+5SyvWJKH3G8DjTzChZifI5nRcjSi+JwHEbr6yLyV/9rmQzEBi4Qv9sIph27Y65AnFyZNsekG21s7xyvJJ+IyZJAGaGQeEGLYgbuyzmFX5FHAjgWX8GIVErA63/Ca4O+e2Ijt/USwitw/9eyUCRcHIGZQsY7Rv3z5Tm5KB+yRkXMc4slmzZskNN9xg6kpeeShdowgoAmMZAQ7QfLK+pd0r/w2D/J+8kZDOTsSVYJB3wS3y+4t98vnVfmnF07I+KY/llrZDd3PvHyAACZCBA2dS8jqIh4c+NwhWGWGB9fOdWXl2Z0ZunesDHbmSkHnQIWkNIlNzLGK5X+f+ch2MScbtyTipsSAkqCc70vJ95KiLIvfXfHN6+APJ4prcciol39sak8dXB811G8Y12hC6ZPXjNcp90Ao2VLgXGAjlydsCch6uyOf2JuVjWCYJ+QywhkZc49+8D8ljkQBWr/Wh6JX2uWAyRvdjJByRG2+8SZhl/8UXX5T29nZDvFgA+Ny5c7JlyxbzHYt8qygCisD4Q4CDNONR1uCm99eNHjmPRKW0jjUg3mYOnpKbghjs1TA2/hq+imfEuLAuWHJOIR/WKZCMJiTE4uw+Thw5hLioeehf+TNPyZ3YBz/qdElPApYf/H4on6L1Zi6SEt8FF3snYs5izOGQJywbvB4W3VYchyRkLAg56d4zaRBRJmW9kmQ24SRePpqWm+ekZTEy709GiEEx7lde63yw+v27g7Cg+cyxGJvW1iiyZpZXloKVGYI7FsAaAzoWTMZ4LswBFomE4V+vExKwJUuWGHclM+fHE3G5cOGCKT49Bs5bVVQEFIESEeBsMxKyG2hKwCA/KLg56FPyIBr6pgQEGNt1FHFPTJ/yOlzhx+A6bEVfWzEdqRbQv2jZIkkYTtj3RvqOOcQZ3/TlVX75zraEdA0Es3M/TPMwfxJmGCKoPYj3Y2U2JeG4iHiufhBLWvb4OV94c/8E5DUKUBtDiAWDW3K0cxuAN38XxlLIh6yZzR6Jwk/JbXz/P3vvARjXdZ6J/tPReydIgr1XsYmi2CRRooplq7nJlmwnliNvvM5Lcd5mk/h5s3nrvORtEltJVt44m1Uc25GtyJKsLqqQFCX2KvYGdhC9zGD6ft8ZXHAwGAAzwMzggjhHAmfmzp17//Pdc8/57l9xy48lnPp0yMQfkiJj7IcRSUmfsTfffFPuvPNOqays7K1knmixcBNjokXTCGgEEkCgH/EaaCVM4Fh6F40ANWJuLPg/hP/TazBHduM98o9KA7YfhoN6FkjAzCjuH42YFdvnlsCXaZCqBfkgI48vy1J+j68ierIeaS7sYGmzoOF5ZLFdlkP7M1a0Yuw7b7fqAovkg0A296NiEXI2GUSWfp6l0IrFEjESK6b7oJYQeWDFiQtgA6tzghWwPqrR+Dvia6c9mA0vPe8in/W/KUEgaTLGs+bn5cvmzZvljdffkB//+MfKiZ/RlnTcJznTTSOgEdAIaAQ0Askg4EE47u4zfvn5yYDkQg1GFy9Y35TWhxwsDMJADVc3N6KBZ6gG5ZkshQnyCysY1UeKwb/+dIGkgubKTXOcsn6GAw7t2A/bmPiVEYg0r/f/VeQcZvyX/ZlXY5MqaPWOIQkzqmj1qTUJS688OtUuc6HBZv+iG33FqIXcfjYgrx5AbsDr3ciG4JP5MD/ej3qTC2ojJc2if9Xv4Sv6gPr9iBEYFhljGguWPlq0eJHUTKhRJktqylgWiQ79umkENAIaAY2ARiAZBJh+4ciloJSCTDEZKwlYdKOypgQansXVdjmPyMGLUOeUg2TMQsVr5seaXgEVDxnbII2EIhepHnKgTTLc/ONTt0EOYpKv2JciOOQ/tdIpQWD3EdLNZIFgEgE7mOwdiJR8EMlsK1CaLJZIdUDr+OYnfnkWiV+vsSaqsgEH5QQiJ09CY/j0WpfSFCbjY2YSWMasGMMiY/QXu3Llihw8eFDq6+tl1qxZMn36dPW+oADefbppBDQCGgGNQMIIhLiCYnGNXTQTPsBNsCO1NV5ovUAd8B8pUv/WBpbWhCSlTJ/ySLlD6uDPNAuF6RlAwro8EVLR/3exW/pofGK/HCOf2QcnAg+W1Nrle/da5fUjfjkHcy5xrAUuDLKZUWFF+aPo3iJ6EmOtBWqzH+30ynU4/3ejpJHRfPAx+xiEuAjfLayB2RbEdTyPSQOXTLwmTcZojuzo6FD+YjNnzFQpLa5duyZ+v1/efvttWbt2rUpvoZO/ZuLy6XNoBDQCYxUB0g1mgfdCoePx4Q02ZDsRjYqMpD3ZG8Zq14YltxPmwqkwuV3Dr5Ekvl8jJkFgtQVk4QDMco/Oc8ijt8DpXpngECHZY76M/SF90Qxux7QVfalJ7N5j7zNTVkxz2eTpdTbxIfcfI1CZILcCdstcagB7OkwShv/VPueuB2X/1aAU4HOUe5h6H4C5+HVEYf5eR1Bq4LhPh33d0o9A0mSMIoVwVUm+pk2fJufPn1dRlDnZOVJbWyvNzc24+DfbcE//hdBn0AhoBMYPAkoLhIXzEyyI/wRT0Qm80sI2FXmb7lnklNWTQpLDNPHjqGWDVKyeZZdle61yEhqekNKS9QcAPusSBGH4CZKa3jUzIEvrHEix0H8/YszWgczzJLtWkL0iOKHbQd5indkje47xf9HfZmgOScSYdb8IjvtGzjQmfO1AvrCLMO+yZNJJFElvwHhDKc5+jZwWpTsRQBHRovWzF/f7hd6QCgSSJmMkWnl5ebJgwQL5t3/7N+UnxpQWhw4fkhMnTsjGjRtV8fDRIGSRouWRWll8b4YWhOrckCuEx2CLSWaBiFzEyopJzzxy8ZqFevw+DNzMcB0NGYxxZTbZeD3ZgljBLCFzPQzx4Y0tDBVFKG6KSfX1qPzD66iuZYbvAWp5PkTm+O+/55VLSOUQwuLHdgXmo33Q+nxzWVg2zISJCUmzzIQZr2FY3Z+2tMwbxcgp9od3OOX5vX7ZXR9A5niAguETPZuTP3BIlUCWPagzOa/WCid8bovsRRn9kLEFJOx1+EW9fjqo3jNCcCHKA30OpZPqQHpzQFgy0QzMQqH0zbUcTx7kWGtDnx02pAPJocYL8ztwIkHbfyEoz+3xSSP8w1iNwIsf1GGaiDdT0Kq5DGbfghymz8Xoi9y+mYCq9xzEjM1s8yxlMuZavk9lS5qM8eQsebRo0SKVU2z79u1KS/byyy/L/PnzVRb+VAqY6LFI/gKogkp/tiB1/yZpnLgCgUCfup5mEM2QiwPLTHgRGyUbriVvRD9ezdQoG8lrd3e3qWRTmMGGQ7msjEM3UQuBIPIecHvc0JrHeRQfRVkDAb+SzQPcMtU4rrv8Fnlub0jqYS6yYLriYsoGg4P4kJT0b/aEUWoGCU+zPaazNPh9fgnaQCB7FsyI5Kn7d2FlWCpug+9SdVh+tAv+TZ0WoRU3unEUWYBjc5cfGpygOFChnteS9ybHWVu3Rd46LqgSgfQV0EDShElr5scXAnK2MSDfXmuV2RUgGxmy4nD8p7MF8ADW7HXiQRYmXhsKIvF+C4JKAaN99SK//SbmLJY1IvvCPnyBBTNuYwLcTXVhybZ1i88L7OPulf6NfLCMroed/jMmdgbOtZQt1S1pMsanXK/XJ5cvX1b+YatWrRLmFrPZkH0bNStZpzJTAzweGJzorCbRPlE+Pg2xGZiYRTbKxacPa0+4jFnkIlZKyYPrSMzMJJex+FBzZ7fYTSbbjXFmJsx4PY0naxIxs8nGMZbpezOARZJ1EhvoPI01OnpR5FUklfZ2WKQexT6XTDTfPQBlOtbzCHtMx/XkvFRVAAf0aVZ5rz4oe2FeY+b3Hr7KIUVlmQBGmQENl72HUHHuZ+M4O3w5KH/+YVDyoC1ioCCCMFWDwki2wh+q9mBQ/mCDXaV8YLqMdDbOG2qu7UlilkrMiAN5QScYUyfMigXQLOZD42fDuXjfsYzUy0cxzqARYyoQhVAMCeMxDAj4fiYcyVZNtuFhOHKdbekGKA74xlzLr1KJV5xTJb3JWNOT/uEQP0iKjHGwnzt3Tnbu3ClHjx6Ve++9VyV8pdkyKytbDh8+rMyWdXV1Q5w29V9TNjuSyGRlZYnT6eydYFN/puSOyCc1PrG5XC6lUTQm/uSOkvq9KRcZPskzZTOLXOwpnyJ5PSkXr6VZGmWibNQmmk02Xk+f16vGP6+pmRr9S4lZNu5NpsUxU2NuRD5g5uRkZ+weYH4nix0raNiDRXCAJ2yMtbDVKVmo+Wsz0cMl74Ewstfz4ZtzbarnDQxjaUW05C6kadgFxyW3xyKdIKzGqDE0O9wQRkb9jXOzpZAljKheROO1dLmy5FKbTxzQmJGIKQLSM+iogSTZPd1ql+4QE8Da0IeeL9P0Ysy1JImpHme4HNAChqQd2j8nVH9MY5GFhGnsk/oOhP9qpwcYwF1mgP4BApX0lfsT52NNIl99Iyh/irqUDy91SjnSZ2S6cZxxPuM8yz8zNWOuTbVMSc3avPHy8/MVqeCgZ8Fw/lGVyJuzoaFBNm3aJHWjQMYIDOWL/ks1WMM5Hn3EomXiezO0iFzMP3NDPjPIRRmsPaYsQzazyEU5jOtnNtkMX0RiZ8hoFtwMeYx7wSxyGXIY19KQ09ierlcSCtZadMKZnEoH5imNXig5Q4TxDFKSh4zoPfNHumQZznENU7OB23COEe83Xphor7UH5ZkPfLKz3i/X4f8UBnsieSI+nBY66IQPM9qtyJr/ZeTXKkd9VJofwzBTUoNCbRDHmQ9mO25T9rhocHEc8BZlGg7h+0gf4kmTum3GXEv5Uo0ZM+i3gbCynyV5zJ4fGVNGl90wM/oD+HKQxuz70Y2krAjX4u93+WRmpU1umwqCF62+jd45je+N+SJT92WiXaFc6WhJkTEKUFZWJnfccYciX0uWLFGagpaWFhVROXPmTJk0aVI65NTH1AiMOgJmmxRGHRAtwLAQ4PMYC1JvqLPLaUQNehHdRg0O/X3oNUDF5qoa+IyVcEnlX3om/2EJn6YfkQB0gBX8bLdPfvWJV8IgGSqZfg8CPG0eSNhdqBI+A3nF1kx3wucLJkqSWe5DmFTDG2xgHUoLiEmYzCuqcV8qerJBhLNBMPjtWEWX46UFJtxu9JG5xFj2iIpn9smNaNOLCAR59ZBPWjsQoBWno+Rg2D0KO3xAI/ml9vZ6e1i2HQ/IIhYEHwUyZjjxK6HGwT9JkzEuSIWFhcpE2dXVpWzhNTU1ytylnsrTxBrHwbXQXdQIaATGAQIkYy4Qi88sdoobC+nf7/ZKPfx92LIxfz48ySbfWidSUwDNEBZR7n/TN/TxChb/fz/qlyz0GblHFakw+k3i0AWCthf5GC6gOHa+yy91xU5FqKLZlAHVHJQJmgnSdgDRlqpsEo7H5gL7uA5A18InqhDkZawuVyRiboyZ5i5ET2IVL4dTnFFPkkTqMnwS/+QVj2y9FEDNSfTbACYCg3LkB1/rxaYHnp5vIwSVKUQutQSlExejLL/3K/0mTQgkTcYoR1eXWw4c2C+MoKS5Mht+DSyHRN+xFStWyJw5c9Ikrj6sRkAjoBEY+wiQYFUWWuXra1yyeY5DTiHPmB8rbG2JVaaj3E9WGFGxPX5QY7+3CfQAbMCLkMkAFv5YZ33+WmlwQCq6EGnqg6bnz4DXASR//d79OcKkp/xe8Q0Ay/fTkDz2e/dkyx+96pELKO9D7RF38ELD8z34Qn0audxYi3IsNhInBplf64z4GxZDy0cMjNYMn76X9/rkPRCxfHb7xldqF+WPj/3vnYEgJDj+syi7E6rZaO9FnoPxxTlZMKfTDqxb2hFImozRsa6726Oc9R9++GE5B4d+RlNWV1erDPw0XeqmEdAIaAQ0AoMj4AQZoGkpHwveVOS/4pJHguCCyakbqRmCDBccLw1ddcDmaIPG0Ap/JfachCC6UUvI6FOSBDvsbltQ5HodNGl3znWgikFYjl/G31VEYdt9MrnEpojt9zZny4krQUVcHCAVzPC/DJpHasXGKroBsCaaJz0gUgVZ8OOGus/Q8BGjq4icfPdcDxEDViSnRmOfA/C7+wIwexKk9DhI7WGYyi82R3zzjP3Iv+gbtXyKTfJB9nRLPwJJkzGKRHMkc42Vl5erXGMkY6tX3ybXr19Xn9Mvtj6DRkAjoBEY+whQa8FyMw694CFjvEgdHMZPIdkrM8bHawZBow9UFjRlb5/1C02SH+P1H3YF5RJKAbksXrGDpHx+pkO+vNopDyx2gORGorKJ9VimFjRPMoN+K5O7gmVVMBAkZhXvgobxCvahm5eRv87AUhEzYFCGUkkTUeqoAIGKd820yAsHIimFGABBzRlLTM2vtMvqaQ5VUsn4vX5NHwLRpDmhs9BnLBth4AsXLpQXXnhBRVIyzcWFC/XKiZ+RlbppBDQCGgGNgEYgUQRIkCpBLH4PZlsSKQZCDtUCUAM1wqz51jG//P/bfNIAh/V8kDgHtGQBmDL/6YBP/ub9bgQGRIgLyUsChx3qtKP2PYkos+e3okoDSVkpCBULhUebIfm+BFq/2cAyNlEuBQfXkkL8hnncuPgX51jkSzBm/f46u0yFo341CNqMKrs8vMwpz3wmWyZCw6jMmvyxbmlFIIZTJ3YumipLS0vlkUceUblmmOz1pz/9qUyYMEFmzJgBp9PMZTZOTGK9l0ZAI6AR0AiYGQEnzLNz4C/3FMxnf7PVKx2dyDUIxkACQfNbdIO1EmZMi8yE4/qvD3rFC1JGcgGu0ttcYCzvnwjIV1aEQVAiGsjeL8fYG3aLOdgagIkHZtxcaLSKEBYaTcSMLtUUWeWBBQ55ERrGWpAz4kIM+UpVyVQENqyewuTsEVzzkSj2rrl2WTcvksGfqVfoJ5YPvzKTpQWE9DdvS5qMqWRsKDn0/vvvy7p165TT/uzZs1XKC+Yg459OAXDzDhjdM42ARiC9CMQSj/SezTxHp98T001smu2UVo/IG6greQwO+yHY2lCiU+grRV8mEi761rmx760oEv7MkYAU87uorihiBgayD+Y8RgQyspImyrHaSMTa4SfWDtLJoujl0HwxrUe8RgzXznbId5pC8tpxvzQDAyvxA0C3wAz89RUulefOIGMkXExdUeyMT+7inUNvSz0C0eM3oaOTaJGQkXQxEz+jJ3Nzc9VnM2W+T6gzeieNgEZAI2ACBKj5INlgaRsktFAlwfg63hoJ2QRodp5Y4QTRgi8YHNEbkfLiTbyGqP0iqaDmBj52v4V9ZlehbA9WsRC0RXEb9h3rjeScyV2bkNKDWiuaIbNYzXuARpJWjjxr316fJcsm2+UQNGTtiHqYWG6Ru0F0q/JRWB2ELrrxaPG0bNH76PfpRSBpMkZxmG2fJQoOHDigMvAbnydOnAhH/tU68Wt6r5k+ukZAI3ATIUDKRYf1ayhd08IEnVgVy/JCcJzGFwOvuTcRAv27wqStK+v451BO6I8jInIPsvJfaA3LpGKL3DLZIXXQdqFmuWxGJOpO5BNjJhCDvhK2bGjCFsHUNgURlPStMlqs5tHsJISpPpqQrsKD9BzMJ5aLPg0lMzWHefC9uwdpU+5B5CTxYL+H+p2BkX7NPALDImOMpFy0aJHSirG2mw9my8bGRmlualZas8x3Q59RI6AR0AiMPQSYoLMD5qcfbfPKPx/xyycwKXHlXJ8fkm/e6pC75oWlIHt8LqIGcaA2aAqI1wQUBffBZOnEBgf+wiCwnd1BWT8tUsmgDZozNpox1W9h0/zmKpfK50YyYjRqmbqR8TQAnzL6RtFEZ1YTJh316bDfgb7lQM5SaLUSDUQw8DP6HfvZ2K5fzYFA0mSM9SdPnz4tBw8elPXr10txcbEyU9JUSWJGLZluGgGNgEZAIzA0AtR4PLvdK8/v9+GhNiwTQTDoCnS51SI/2BGSLFdQ7p2f/mLWQ0s6enuQSFGzRQd/xVTxbxNI626YLv91n1cusqQUGBipGLitVCFCsBQJdVdOtMsKaNBCYDQB1Kqk39UZJIB9B35Ue5Ffi4SsFPveMdUhK6cikhC/MRNhYX+6EAlKkslltQK1J2mCzLSM1NoyipOaNV6D0ZABUNz0LSkyRl+xzs5Oeeutt1RR8CtXrsiUKVOE5kmSMpot+bm2tvamB053UCMw3hHg5MxM4HylNodlWYzkk+Mdm0T6T63HpZawvHLYJxaYoGwgC0a6MZrcrqGkzT9+7JX1yJdFrQiedXUDAtQmHroQkG++5hEf8ooBGg4/RWKpFauGc/uscqtcagrKP23zyJJJyJc1HbnGMD6//2637AKJY+1G7kt+98LJgHz3Npd8Ho7teQmYADNxEdS9xTEAs3UQ91gRzJP5MDtmkogx51gjtHIco+dAeIMYsJOBK9NdlCCSEwYyhXsm8BgP50iKjNGXgWTr6aeflpdeeklWrlwpra2tyDF2QRExOvXX1dWNB9x0HzUC4xoBLhY+rGZXQRjaoN1h1vha+OYwkksTsqGHhkFk6xHpd6UDKRxACqK5FuAVDzQSO+Ejdb09KBOK7YJgt3HfiJsXROpXn/gkCKICxVavnxjBITHbDuLwS2i+qoAXMkDID48F5P7DfllYaZWfISfZpJ7txJzNBu3T8wfxfS2y88NHjRGbo91IOBvRv274xBUi9UQpC59nUC4SsQ5PWP58i0e2AL9DGKMEejoI4b1z7PK7CA6oRU4y5H/XLUUIJEXGeE4SMhYKf+ihh8Tv96vcYvPnz0f5jm6Vc4x1KpNp9DO73nhdaddcTpc0tzSrLP7UtrG1tbUpLVxNzQTJQbJZmkJ10whoBEYPgW6UYbkKgvDD97rleZSkgV+1ivJ6FGHzv7PBJYtq7YqcjZ6EY+PMXFuZSZ4+UfFmNWMbluGx0aEMSAm4lP9UPUr+MIAykle/74mhRJJpPd4yRI7vz8E8eRapHiYaoEb9hLtewQPFjvMBWQqz5mg3aky7cI+1ggwx6rEYRGygNBbpkpWm0We3Q4t4PCBBkNWpwA38DNpblKFC7jYnilL96X05CQUTpEvGm+24cYbm0F0MBAJy/vx5pR1rbm6WS5cuyeuvv64iK0nKEm0ej0d27topf/3Xf61KKQWgj921a5fs27cPId4hte29996TDz/8EKaQSJRRosfW+2kENAKpR4CaiUttQfl/3+6WlzBRO+C7MwGTdS3+9qMw8fff9cqhy4E+2orUSzH2j0gthxUsoBaRgeXMpN5DHoyekUS48Kh8CwqHFzOnjHAdVAAAQABJREFUVMz3xn7j7hXjjxpZLAcqzUW8/hMq448LHN/7evye+D520TO+70h86cJR0tNINmlCbQQ5ZCsDEWMai4xqxSCE2xtSpIull4LAjtpCah3JyOhr9zxMu/Ugt3RT0C01CMSOy4SO2tXVJVu3blUlkViX8uWXX1aO+7/+9a/l4sWLCUVU0v+sqalJBQIwOpMELwTdKI/X2tIqXe4u2bt3rxw6dEhuu+02FSRArZxuGoHRQoBjlm08j0NGoB28FJT3T/nFjkXRDkioiaA5iH5On1wJyEv78TSN9xG0FGT6nzgIUCNWA1PPnTOc4sRKlwXyxRmOf9l4nw0b3ONLHKpQszYIwDwJVVgDSMq++qD4oDUiiUpFI+2hCbgoOaNOKk7d5xi8X+gs39gVVoST8tBPLNNaMWrm2pB0twEPXZQn+j7me/A0OY9rwVQsnA90Sw0CSZspuSAFQZX5R0f9kydPSkFBgTz22GNCMkZN2VCLFY/BdBisbVlRUaGIV3R3/AG/fPTRR7Jjxw5lDmWJpUSbsWAar4n+Lh37xcPBDHLF66tZ5aKsZpTNuLZmkS0cMymmQy5OuzRRnrwelOOoq0LzT/SCyKLEQUzSh/E90zXkwxvdHuNAlg654o3nRLYZ19DYdzRkq0SE3O/f4YIWjOYfv0pwymfO8kKRLy2zy2aUqOFy2PMcYIhqitdM49XQGZLvQyP7r0cDkoPBxoeAVDSO6yKshPlgx0iYkXasB8QNgjBbvhvaKJony5HGwgY7diavPWWjhobFx0lQB6s07epxrhuwPyO8OJaouSNd5xihiCn9edJkjBMYyRcz7//whz9UGrG7775bOfJfvXpVKisrhxSwq8sNsrVD1becNWuWnDlzpvc3JHlnz56VPXv2yAMPPCBVVVW93w32hnLR7EkfM6bXsJrEszAEfTr7RP86NjPJZQxwRsiaRS5iRMwoG4vO22jLMUkz5KJsfJgwm2wcZy2tLWm5lrgi6hGZ5h6vF7P0AFpqdbXwMNXR3iIBN8gaJtQg0spT680HNTONMw4rQ7aW5pZRGWUhjCX+fXGRyH3TsRij9qAdaeaLc8NSlOOXrnaPdJtMLUZ3Es63tGJk6nrSXPbqUZv86rhFSoDXAMNv2NeQqTK+ixQj1bkemV+DwACGWaaoRc8bA2HGMeANowxUIBsPOEhpEnJLB4JjeN+l02fQkI3uRcZ8pu51PHQxY//pBivMpjeAICq5uMlvzQ1JsatdOtvxgBZFmm7sObJ3lIvzGS1mhlwjO2Jqf817INUtaTJGAZh9n0lfaV6kQz0LhDOikuktpk2bNqiMJCUtcNL/EH5gmzdvVo7/NHteu3ZNSkpK1PGYQPbOO+9U2jGSO263Iy459kk29kQsx8QAAsplhkZ5uXB73B5xIFEO+2CWZhAKXj+z4GVgYxAxh8MJYs3nNPO0IOxvPpBEJ+4BM8lGzHgf5eTkqHuIn9PRspCvaWZlUGa4AspMSW2Y0ThRh7CIzYMjf0mhQzmmk8ERs+5uT6+rQbpkM+RI5pXzEYl1NoKDjPs1md+nat8CzBUTShTfVf/4/T7MHYhSxTgzSzPw4UMS33O+TUejOZKmOkaZ+qDxrYIKrAv+XB8iJYUNKUBIxFI9KzB6sRiD+aWTVpld61Im4lT2bTDMeAt1o8ZTZyc0YdDNFaPcUYEL41G5zGM4RN1jqZSJxzLmWq5NxvpEfO0wm39tlcgzW/1yqhn0DLjjOUxcIGLlKFf11EqH1IKsRUyo6RGQ8xnHP9cns8wZxj1A2VLdhs0OKBSJF80jfLokaZo8ebIqHD6YkHxCPl9/Xq4gR9mWLVuUNovb+J5aML5nyoxPfepTanC88sorUlNTo47Pcw7UeLGoEeMEwQs42L4DHSMd29kfTvbGoDKTXEyGaIdnsJnw4jUgZnwqcoLApmvCH8615hjjk1oQT0Vmk42YdXu6hRHJtjR6e3NhWDwxKFOrPNICc2QXJmnWVOTDMQsY1xRb5Z5FWZKXc+OBiISH5ILjzGzR0LwfiV1WVpZp5gyOMwvMUySxZpKL9wxlo1xWXPBUX09cBlXy53RLQH6yyyevwjexA2Prdiz+88qQNwxamHRRU2p0uRh+0moTv8UF3FOXaDcynwEzmEFjryfvJ5Y76uqGMzw+FMO0X5yHdcw27KWZlynhdmOujaybxg/5DHDnHBQlR2TJL3b7ZBd8QbvDFlmA+/sLy52yflYk990gS7JxqGG9cpxRW2es58M6SJp+RMyoYEl1G9YVJyukTxf/OJmRBPGvrKxM1q9fL1OnTh1QToK7dMlSmTVzltqHDv/PP/+83Hfffer3nKyVmRGv1I51dHTIz3/+c3nqqaf6DeR4JzEL2Yknm96WGAIk+LwZzdaMsWVG2TKFFSffqagF+IP7slUCzcOoCdgKEw8j/6ZU2+VbSJ65HOkBePUGfnTKlLRj8zzGOKP0HGvRn83Uo1TL5UGU3sdIlfK7r7jlOjRjhRhACDaVXUjsuvU8ai1yQPEvjU2Ri3SdI86Uxk2swtCOVBJ8mCkvgKWCzHCUG3Gwgzyum4HqBHV2acc9Dg6uInspZxosk/16HOsH22+Hm2xD0mTMYKxHjx5VzvU0TVKLQV+t9vZ2RZgGw4g3MJ8O+ARv2IUnTZqk/Mf4pFVeVo4nbaijQe6434YNG1RgwLlz52T69OmmM6kN1lf9nUbgZkSAponJpTb5HghZC0xJbXDWz4VZgykYimFSSrR23s2Ije7T8BDgs9dlkK6/2AZ7JEhZLg7DDPnMw0aTJJO7prPRBOcH09s82SbFiGDMRGOfmViVRIwErKrApsx+mTn70D2kHCRl2XA9cCD9ChvvfUVY1Sf9TyoRSJqMkUzRoa60tFQ5cFZXVUtuXq4yI9KEY9idBxNSmSpwUaFPk6KiIvn85z+vfL3422XLl8MUhNsC56GtuLy8XH1vg9o2U86ig8muv9MIjHcEOBmzVmANWFdVPgMuEDADULidf7ppBJJFgD5bF1tCcgHZ88NRvtHgKyn3D4snGzU9uTARfmqBEyWR0p/tHsp/ZNcPSwMCNugaVgK1Xy5c8Mx4/1AmM2jr4l23m2lb0mSMnbejCB3NjfTnWrNmjcqeTyd7bqNGK5lG7Rf/jJYHYhfdYr+P/k6/1whoBEYXAS5imTBZjG4v9dnTiQAJF/3FmkBM2hC5l6qUFYnKzOcHxgnNhD9UHUzwNMOls7G/TJZ6Hf1lAtsSqP0KUevRjEQsnTjoY/dFYFhkjASJqS2oHWNaCmbNp6mS2zdt2qQiLfueRn/SCGgENAIaAY1AfwQMMqRICZ7lEUSqIvf675meLXyYCMMUN2sCrC9U8aa50feqFQ77NE+yMDnLHWnNU5pBHwOHHxYZo/mQkY98ZRQlowVzc3OVqbG4GPHZumkENAIaAY2ARiBBBKiZqi21yqQqu1y9HhB3JC1jgr8e/m4kgiRgs6ts8shipB9KMxmjn1grfCxbEKDApKoVSOzKBKu6aQSGNQxIvi5fvizbtm1TYeGEkf5et9xyC3KNaTKmh5VGQCOgEdAIJI4ATXSVICbfWOmU/+e1oFjgT0VzXrobHfcnFvK8LpmM0lTpNLlDISadSGnfgshE5iQvR8BLdoYiE9ONoz7+yBEY1nMAswi/+eabKhnrqlWr5NZbb1X5xZ577jm53tAwcqn0ETQCGgGNgEZgXCFQgCjGjbOcMh15xZJ0PR42TtRUFcFUSA1VOiMFSC2ZtL2hI1Jcm30tQsBAOsnfsEHRPxwVBJLWjDG1BTVjLD20HJGPTG3BKEcmfGU0JZO5Tpk6ZVQ6o0+qEdAIaAQ0AmMTAWrHkGNUVs2wy8k2ZH1H2gdqrtLZWF5xf0NI/mVXt/zOhiypLEyPdiwYskoTyoN5kOW/CBEKZfAT00QsnVd27B07ac0YU07k5uapnF8sDM78X0aOsdbWVpUjbOzBoCXWCGgENAIagdFGgBqxh5c4Zd10uzQjdx24UlobTaE25Jl482RA/nWnT5hiI9UtgMz1nqBDPCGU64MWrgTljkxW5S3VXdbHGwYCSWvGeA6Xyyk0T7799tuydetWyc/PV9GU1JYNln1/GPLpn2gENAIaAY3AOEGAJKUS5YAeXOSULvhWfYR6lH6oxwbyHyNZG+i7hCHDATyIbHzpmF++dKtLSqC1SpUjP/OJdeLYHX5ETKJvFfATcyFyU2vFEr4642bHYZExOusXFhbKHXfcIZcuXZLm5mYVScnyRdyum0ZAI6AR0AhoBJJFgGktGjpD8tYnfvngWlDsAzAtmjSpRcuFnbEDGfuZp2y4jafwgfDtR4RjK3J/FTHtZdI2o/5npz+aB3nTmnBclG+W0txIKgtNxPpjpbcgCHI4IISQKIUEjJox+o9VVFQo3zEW9mSKC6a80E0joBHQCGgENAKJIkDy0gXy8t/e9Mi7pwPihH+VLw7JojasCyTs0dl28cFfefsxn7hByEbSSJAqQe5UmolUEDEI44PD/pX2oErsmmND+idoxFC/Bt+wB7ppBPoiMKxh197RLi+++KLKuE/HfTr179+/XxhNySSwumkENAIaAY2ARiAZBLzILXb8sl9eRLHwEDLTxyNiPB5pVw6I2k7s19AYlG4WsRxBIzUCT5KZ8OVKhYmS0vjQl2sdkA2vBdC0FWeBVZJt6qYRGACBpDVjJF7Mts/GaEqaJenUT3+xzs5OpSEb4Fx6s0ZAI6AR0AhoBOIi4IeD1dnrKBIOokVHekY6DtjwfSPMf41uqJ9GyHH4cxeCBZZPsksWHOxHakak7Mywz5xi2ag3WQySF11vc8A+6S/GNQJJa8ZIvFwul8ydO1eOHz8uXq8XGYytyjw5YcIE7TM2roeT7rxGQCOgERgmAj2kimsMfcKGakrRlAKFE881tdQm9y12jpiI0WG/HRn2W0EUbThuFfKXsdZl+uNCh0JLf292BJLWjBkdCgaC8tJLL6ks/Mw1RoLG0kisWTlp0iRjN/2qEdAIaAQ0AhqBIRFwQhU2p8YqPqgIEl2YRqgUU95bPMbtk22ycIJtRCknjMjJxo6IVBUFyLAPjZs2Tw556fUOQCDRMd8LFs2U1IYdPnJYvvjFL6pi4TRbMsdYV1dX736j9Yby6aYRSAcCxtjik7tuGoFEEVAzUs+0lOzQMfNY4/2QSvkcWI0ml9vkqwud8sIhn3QhJUTSpptEL0rPfjx+BwhTHTRjTD0x3DubRKwbJZyuIRKUl7oYiV3zkWWf11svSUlelJ7dLSO1Fw/vtKP2q6TJmHHzMWqyqKhIFQzPymIssIjfjwgY5+hEUlKuEOKbA9DYWa0ZqjKbwGXjhBWRC74NJmqUK8j6HGhmwovyEC/+keQzWtdMzayyqXGGvAD+gF+CjKM3UeN1DGO18vv9KV28U9FFzheMDqdsqW5chH1Bi7R3i3gDFpirmNogLFkJzLqsZsKxxvFvzLmplm84x4vMZ7ieSGSajutJaB6YL/Jxvcgp+FyN1B9sqD7CyimTsGR1+kNS3+yXqjwSzKF+1f97HzLsN3ZZxAtCVuAKIeUG5jFMrzy+mmvxIRyG1s+E15P3p9nm2sj6ZD65eOWNubb/KBjZlgSmhf4ncDqdkpOTI6+++qpK/kpfMZoq7fbRIWKGhNTYud1d4vMOq1vGYVL6GsICaQx2lo0yS6NcHFRYLoAXw63N0ygbFyJO9jarOWXjYmkm2YxxxiAaM40zjipDtq7O0decx45yEleOtc6OztivRvQ5iHurE88RR69YZPtZq1zFQl2NhX7lpKAsmBCWHITv2Qd58jcINd1BzNSMe5ME0c+QwRS3EHArwvQ9DfUpj1yFf/IwiFEyInEGbEVy2R9s75ajl0W+tjIIMoXoykGuTezxA7zWgRxxI8O+yxoQV8gjPhzTeIwkZpxr+ZcOzGLlSeazIZvZ5treOQPWNjPNswa2nDNS3YbFWugftnTpUikoKFApLd555x3lxJ+XlyebNm2SefPmpVrOhI5HDR1lIlk0SyMRo/k2OzvbVPnXqKlwe9wg0Hbl72cWvCgHZesCqeY4M1vOOpIwt9ttyuvJsmT5BflIhmkuAkvMSHZU5HUSi1wmxiQf4JgfMZXJqmmy8njD8g97vPLMHr8UI/WCzQL3Dmz/6Sm7fGWhQ55e50Jy0YGZBmUK4UA5OdmZgCHhcxjzBseYy+mSVJuSyD1PXwqAvHpBxDJDRKEYxXwj8i/HUaqoIFueWOmUImTKT6Qh8FMa2kNI7griCF3ExEIn5lQEAkT92MDMgofxbKxRqcYs6lRJvzXmWq6ZZlo32ZHWllbJyc0xnVzEjHNtqtuwyJgDGjBqw0g0DPJTWloaSQBbXpFqGRM6Hp86+LQW/ZfQDzOwU7RMfG+GBt0TsLKaEi9DK0CsGKlrlmaMMcpjNtl4PdmoFTMTZpRJjX+QMC5CppQtat6gvCNtfpiqPjgTkC3HAlIEIsZUB7w61MLYwcj++YBf1kxxyPIpdsmNo/q5Mc74C7oRmOgeAKk0HKusqF2UyvkMUzhyi4XlJx/55HhDZogY8SXKJGSlOPc7J4PymUUWqYTz/WDN+E0bIic7vRahd041IiedcUodGXOtleM/xZgNJmMi30Vki6ybphpnXM85Z5hsDSCmxlybCL7J7DP4iBvgSF6fVyV33blzp+zYsUPOoVh4VVWVYos2u7meygfogt6sEUgagVQuPEmfXP9gzCAQCFlk6+mgNMFURRZmTLKcGbno+0DIdpwKINs8TFdxemX2cQZKEUfqkW8iab3aEpJfnw8io/7Ij5fMEdgjnr+FWi6qMIdoSpuG/RpRPoneJ2WoZ5mTghxlQ5x2XH1NDdR4aknfVXxqo1/KBx98IAsXLpTFixerzwRt7969cvr06fGEn+6rRkAjoBHogwAp1nVkXw/GWUyoF8/GPw34ns7eut1AAIYW6YSm6Qwc90cDGhotSKyokRnsyvCysvzStQ74A+N9GSInC2Fyxs900wgMG4GkyZhxJj695efnC/206D9A357q6upeYmbsp181AhoBjcD4QgCLc17ELBvbby7yVJhV5MPnStUqjN1j/H4mmckBqZkAkx8Tpmay8XRMbVFcYpNsmo55oQZo1No1QCPmB3ksw3XOz4a5dtgr6QAn0ZvHHQJJDyGSMDrqr1y5Un72s5/JwYMH5fLly8pcyfdMd6GbRkAjoBEYrwiw2PR9c+AEngMNC9Z1LvTGHxd8B/JarZ1pR5oLbtXNQACxRFJVZJNPw5fOAaI6wtrfxmGTerVABgv94uK0iEaMNSeZQiksxVBxstQRyzbpKxkHML0pKQQSJmM0TzLyqBPh6YyOmjFjhmzcuFG9Z5jn7t27Ze3ta2XixIlJCaB31ghoBDQCNxMCdsyqyyba5bEFTikphFM3fYlALrKg9alByoavLEU5uVq7ZGObbjcQoGaMWqnHEc04t9omeRkOiqdPnwvXLp65kUQMaTThI8ZcfohyBaEuhZ+YAz+ieVM3jcBIEUgqmrK5uVmlsmAYOKMnp02bJrNmzhI69DMSg9vNFh47UoD07zUCGgGNQDIIcDEvgNbkiVUumY8SO79GVGVLZxCmSausm2aXtdMdajHXi3h/VKk5XDEZqT9WheW7rwWlEc5j8fVU/X870i3w35cSrIi2GD0Xz4+csNLUFUICXybutcA8aVWpLEZ6Tv17jYCBQFJkjFn3mez10KFDKoKS2YSZ7JWmSebRqqurUznGGFmpm0ZAI6ARGK8IkGjlg5DdNtUhyybbkfAzonFxwBnKpUxh4xWZoftN7CzAyY03VpgM6SSf7sZT+OADtr8eBBDar9pi+IFhG7erKEt3SJo9qJ4AbSZJdfbo5jdPNxz6+KOAQMJkjL5iuTm5cssty1Qh8DfffFMmT54sNTU1Kr9YQ0ODKhpOJ35NxkbhSupTagQ0AqZCgBoyJgKlo75uySFwsQn1jkl+kvvZiPb2Qvt1HZqv+uaQzKsKq5xhJILUiLV14TNMklUgYlm4piSMumkEUolAwmSMJ2UOsVxkxPV48lSpmjlz5khFRQUGrVM8yBjd2NiI7zyplE8fSyOgEdAI3JQIUFtGrQtTXNAnib5mTBqKvKDjulEbdb0d5AdMiKbDjDaeHI0vJGJM6toKIsaiFhUwTeaiVJImYgoi/U+KEUj6tqeGjGksSktKhWWQqBHz+X1QwyMvLRz5WSpGN42ARkAjoBEYGAESMeaqqm8Oyruf+OVXe72y87QfJCQIc1lmTHMDSzd63yhckGeswygS3kOOMiERnffrkDNsUgmqWMBM2gEt2VWQQhLCUkTGFiAAQxOxTFyJ8XmOpDRjBkT5efmy+d7N8tqrr8mPf/xjaMtyVRFURllu2LDB2E2/agQ0AhoBjUAMAiQcHuSq+vkenzz7Ubcc60B+K/hGdWClX19tld9anyWLykOSxfC+cdboKP/WcZ+8dyaSgj9TXIyEy4IcFWvmOqUaEa9dyK5/Ddn42apQGkkTMQWF/ieNCAyLjNFcyZqUd226S1asXKEKYTPxa0lJic4zlsaLpQ+tEdAIjH0ESDjePeWTf93rkw6YwIrxmSYKErJj14Lyg/e65b9ttqDW4djvazI9IEmlyfbVgz74aSGKMkNMjO5f9O27bapdvoG0GvT1a4SfGE3H5flI6gqN2Hg3HSdzHfW+w0NgWGSMp2IqC6a34B9Nl2w3Ctyqj/ofjYBGQCOgEYhBIICovdcP++RSW0jCeI+UVb3N6xd57UJQvliP9Amzk/Yi6T3OWHxDs+C2U37ZfzkoxCiTzYc1rAYaMOYOYzQlPG6kGCbLEiR1JRGLukSZFEufaxwhkNTdHsQdwnQWTP7K9yFUSyUB4x+bQcrGEX66qxoBjYBGIGEEOFOyZuWlJryDb1hk5rzxc34uw9/JBhSshqVuvPgoUQt1tikkf/WuR7pZQD0WmBsQpecdyNfVtiD+UOYIyV1pliyHwz6DKjQRSw/k+qh9EUhYM0bn/MtXLsuBAwdUYlemtKBZkqWRmGOMTv3JaMYMAkdxNInre1H0J42ARuDmRIALOwkWc43RHEbOEc07SELasI1Re+p7fL7ZCRn774aP1u56v2wBSZ0GXDLtLkfn/XwkcyVRLoNpsgwaMhIx3TQCmUIgYTJGwkTixaSvTGFx7tw5qa+vV0lfjYz8JGcsk0SiNlhTGjZEYF69elWlwqCps7y8XP2kvb1dad6YMoPn7OjokNbWVikrK1NFyTVxGwxZ/Z0ZEODiwvJ2rEvIlfZmX0zNgPlYksEBlrUMmfiPtoTEi1xanITVmMErc1nVwJF80USr5IAcjIfGXvqhJbzWChSgoQqTBGWy6zhXBQp+L69zwCyJyElNxMbDsDNdH5MiY8y0f9ttt0lTU5Ns2bJF5s2dJxWVFdKNHGMsFv7qq6/KU089NSgZo0aM5ZM++ugj+eSTT5C/xaY0a4zCJAHbuXOnBINB2XTXJuns6pTDhw/Lvn375Itf/KK4XC5F0EyHohZIIwAEqNXwweenAc6/zXBA9sHcQcfgygIUFM5CjUK8100jYAXhugdRe3uvhOTYpQDmw4hZDm64koes/bdPd8qMqhA0M6Ro46PZ8MSistqDGGXq4YV8j/5gDqStuGe2QxbU2KS8wCYsyZQpGcbH1dW9TASBhMkYD0atFGtPkkAxv9gXvvAFZarkdqa1yMvNE7t96EN2dnbK+++/L0888YQiYnv37pW3335bHnzwQaFmzN3lhgNnQA4ePCjvvfee3HPPPVKQX6CCBhLplN4nMQRCYA90VIXrH7CNTECZfCBNTErz7RVPO0sixgSep64H5e+QrmA3nLDDML1YMdHfP9MhTyx3yoRimzI9ma9HWqJMIsDFfm6VTf5wQ5b8bL9P9p0JwE8qJEUgArfPtMuTy5ziCDPRFgbUOGiknFnQAs5BHU/wUHHAeZ8JV9PdaIYk+f0Pt7lkxRSH1JWDiIEo6zkw3cjr48dDYGjmFOdX1FDRbPjaa6/J6tWrVfkj+pR1e7uFxcQHa1zIaNZ8+umnlYmzq6tL8vPz5ezZs72BAEwiy/qXL7zwgjz66KOyYMECJOHDnZNAi/ZFS2D3cbsLHWa7EUbeioiukDUoxSANRVDPMwP4aE9GFphx4hGe0b5Y0WMrVj46/V5oDcq3f+WWizA/OQFwABg7gPE/7PLJOZR3+YsHc1BAWvuijPZ1NMP5qXmZWWGT72zMEs9aPBSBfdhgnszmHwiJrxtUDFwsdpyZQXbKQLl4P6RCPs43JEYLauxy9wKXfHjEi4S4EdNtOvvL+5P5xHgtihA5qTRi6TzhaE+s6exbGo7NdWA8taTJGG8++o3dddddSrv1xhtvqMz71IhRazZt2rQhb1LuRx8xasSOHDmi/MJopszKylImSvqSkYitWbNGpkyZorYPdVEoF7VzjPaMXjSH+l26v6csfr9fafVofh3txgdOirH7osi/HwrLiaaA2BBf70T00J1TrHIXwumrC+DHMor3ATHjtWQzA2ZKkJ5/glAj0ufR6/X1ysivWjwW+fe9QTnXEhQrTJVGAnFqHbPhQLbvUlDeP9Yt62b0mGOiD5qC98QsGAqqsmS2BB9cUnDahA5BzHg96c6QisU7oZMmuBPvTUO2BH+S0t1ouVbGBMzE6pbDDerH4PGrqiZh5VNrNswCAT/uy9SRMQNQPKfI08tCYkERly1noGnGfZTOhlsGvmqCxLs+VD0IyQPzWO6IM2RqW2Q+84sFmI3+o27fvkXPtVSomKnxvmTmBrPJRcxCqDiU6pY0GaMAjJykZmzFihVy8eJFpQ0znPfpV5bI5BGG5oAEjlqxa9euKULGTtIESoK2fPlyOXbsmCxcuFAtfkw0O1QzLp5ZFnDioC4cBrkfzkSUb7QbNTgnGsPy3XctcrXJIh58ps4RCjE5dlXkMjRl31gpynk4MV1kenpErHgdzYBZdA85bkl6urs9aqyq73CdryMk/oMLSBCJDSwIZkzpfKXrjw2ajx3nfbJsQkisCN3qn9RAHWnY/1AuTlo+TF7UInPcmaUZsnFiNe4JM8jGhZHuEEqr30MURxs3Y+4kSTQTVrxehjy8J/k+1YskFSEVqAx+1yyLfNIgUt8SmZvSOVZ4m1zDnPfcLq/kSFBWT7PCdy31SV45lxlrQTr7M5xjUzZTzrW4OFSucJyN9n1p4GrcA6ke+zz+sMgYb0ZGVL7++uuKiM2dO1eWLVumHPuZDHawRlAJcFdnl8ybN09mzZolJ06cUJqwSZMmKeBvv/12efLJJ1WppVdeeUW++tWvKtI22LF5XGrWSO5oRjVDMyYsRoRSNmoER7u1w/zx0na3dLZDI4YFHC4TvS2AJ/KfHrbJw4tyZF4pNJ3DGh29hxv2G+av63J3KcxI/M3UOPZpWqd2+IZsFrnmC0q7eECy+hNuQozlSzwWu2TnZ0shEkneoGup6R0xa2trUy4AfHAxy+TF3pFYEDO6J/AeNotsJGN0raDGjrKZpXHeYI3fEO7P3FyE9w3R6F+FXVUjobFF3dND/DSpr42FiD6/fGjmnMZtqWzsxrpsJMU95ZbTLX7JxExOQnap1SJ/td0hTqRpumOOA1n3U9crjne324Oxb0kLZiORlLLx3uRcZpZ1k/2hXJzPOM9SLtPMGT0PIa0trSOBPe5vk15uCUpHe4e8/PLLsmjRIqXxOV9/XmkwnnvuOXnooYdk9uzZcU9mbGy6fl2e/dGP5Ktf+5oanCQrTJvBG5w3N2tdcnA89thj8otf/EJoCqVzP8nMUDe/8b3xapxztF8NeYzXTMuj5mr848eifRwRXD74MhkTuCEL9wliZj8Ck9r0CjsiAVM70RrnSeZ1tPCKJ2PshGDIhltCimDmXVthleevQdsCShatx6W1hYrdWxGtlYWVMrJ+pRbbWP8KQ7Z4/cj0tlhZYj9nWp6BzmcmuSKyMMoSQSADPOBy3HlwH19AstSTCBzBrS11JXCCxzh0Ia1/uvJkWSyRB27KmHLM0CeXPSybpjvkg7MBCSD1B+elTLQAsPybD70yD/dpPgqDRu7TkZ85et5IC2YjENGQzWxysUvUqBst5ePMOLCJXpMmY5SdZho+7dbW1sqFCxfUDcmnJGq5GGU5FBnLx1PoApgf3333XcV6eazNmzeDhOWpJ1SSMStueJo8169fr8jYlStXZGLtRDi5Ri9zJkLSxKJw0u5EqRH+XesIIcEir2F/3Qz3Y2NKhhu3QWSb/jdipomHAyftAkSDPbjQIe+dCyiTJTGklkI58YPUTi2zyRosMGYguPH6oLeNLQR4f15sDclrh3zy8lFoHt0RH5ZcmMBnT7DLb9/ukupCq4oOHCs9YzRyF+aoXx7wys8PB8QOf640u431gcaNe9YNn0+6akzpiazss4P+oBFIIwJJkzEyVBKvqVOnqlxhzL5PlTqd7hlJOXny5EHF5e9zsnMU+SLBoomA/mYV5UjyitVr5cqVymmPfi8kXnV1dfL444+bwsQ3aMdM+CUnbFjP5DImmB2ng7LvvF+ug4y1IoIotlFPwwfwVlyfyaXAHpyXe3G7bkMjkA1NxDxEg31nfZb8AA7BTe1BwQO+dAPPRUhj8PRtWVILrQUJmm4agZEiwHx27x4PyH/e5pV8plDBuFL6KktQPkSx8TKY2Z641SWV+daUaXhGKvNQv2dk46uo2fmftqBP0NCzPmV03U6mnaCPOc2y6Wh8GOU5qW1U/tn6uT8dMOtjDoBA0mSMx6FJkRorprZgQlbadq/D9DhhwgT1N8C5ejeTZGXbshWh48ZoFWSs7wZtxvzTLXkEOKE0dwTl+2945I0zcDrHJANrmoqUVBN3zyHJD2jSAG+Q9VVWmQk1Pbd5kIzSDrOa8R236RYfAWJH09DmBU5ZUmuX0w1BaXKHZUKhRaZV2lB0eOwsivF7qLeaAQHyEGq1G3Ffv37cJzm8R6NuTFZ+qMa9/N8P+GTRJKSKGCPFxtmvC0gJ88wOr1SBFXWjj9EPLqqL3AmN73veqs+p+ofzXAHceivzbZEI11QdWB9HI5AAAsMiYyRPdKrbuHGj0NmekQUOO5wfsc3lSsxJPZqAJSCn3mUYCLR6QvLqQZ+8CCKWD/s76t6q1vMS0XphZuPnIIgEkx5+Aaa2H7zbLfWNiPrDF7Or7fK5W5wyEVqdnEx40w6jn2b5CRcJkrJymIdKAHYQi4odKwq1jNyum0ZgpAhQI3YVWte/e69bPrkclNjwFpIU8BgpwoNXA/LeWSyxe4xUgvT8PkIwEYTSjtQx6EAs2eJnmjFjt6dKGmrbnHjwXIwyVVV4gNK3a6qQ1cdJFIFhkTGaFs+fPy8ff/yxImJFhUXKvyu/IF8YEWnUmUxUCL1f6hGgyv16B9T+ME8WYwqj75JBwng2TjY2XP3F0OLcNcOO/DpWacbj6P/aiQSl8EWx9jhPHgIp2381KL+/0SXLJoJwj425PfWAJnFEmlP4F0E5iR/qXTUCgyDAW7IJpbb+4p1uefc0HJygFYu+p42f8t724Q53wNVjLDVGj3Le6pl6+omOr9LSwMFUbcrFk+3yDbgTFCHaWT88pQVqfdBBEBjW3cpyRUayV/p7MQ3BgQMH5MUXX1Q1Kgc5n/4qgwi48RRd78ETH84Z70Iz43cdIq8eWeaS5VPssutsUI7CvBbCUzVSz6i/APw4dl0MyIswe7SCrKVrQswgLPpUGoExiQCyqiAXYFD+/RiSroKIDURacOtKFipqTCpDnsMx0lMSojL4t5WgYDdjtKjdy0RTxBUg3YmSZX9wR5bMqYYFIDHjTibE0+cYRwgkrRljKCyjKZl64t5771UljZiSgo25VByOpA85juDObFfzYFacmyeyp6n/eTlJ5+CyTUQRayseA/dd9Mv2qwGBa5PSokVP4rnY95NLITmD8PlyTJi6aQQ0AplHgD6fp+CcfwWlgly4d6Od23ulAbuAQlz+6won6l+OnbmYmqjyAqusnemUf97nk6wM0kgSQbpkVMK9gORMN43AaCCQ9MpKXy868K9atUppx06ePKmSvZKIOWHDupEIczS6o89pIMDJrQrE6aH5TjmByTmEz5x0ONnwNYA/J1jWepRAsttQdgXpLjqhSeP3sY3bWuGw0YGw8wzOkbFi6M8aAY0A7XgDNN7zZdCI/dXmHHlgkVPyEK0T734e4OejvrkUT4LfXOuSL81DZRbIPph2jP3iH/eBklA9QEJxKF14n2y0JVUJvbCOJcAgt243DwLDenRiBv3Lly/LuXPnVGoKljWiEz+z35Ok0W9Mt9FHIBu5r26FP9h3V7rkBZg2mjFTZcO20QU2tqDMKo8vDElNUSS6shIasgmYyBtb+yYsZS+YCaMafhRVhalLhDj66GgJNAJjCwEXZuupKC5eDTOaKqGI+xL/9zYr3A5uq7MjotchuSAz6Ur62nvCFL9xghWVgZB9fnmW7G1wS8sV1MwdgBz5sC/dLCbjgbMcRb7dSA7LNag43yJnG0JyHTXJegnWEHJ2Iw9gHeZDO9jsAKcb4gj6a43AyBFImozRTMkacyxhdN9996kkrXToZ54xlsnge93MgQAn4xI+bd6eJYsnwifsTEDakRyyGnnENs2yg2B1I4IorJxVZyP9wpqJNnmxk0WdI/IbE1MWZsQlkx0yocjYYo7+aSk0AuMJASdIwyz4NK2Do3k9zJVteEpihCFbHgJrakqs8ullTilAjTNqycZiY8xBbYlFikCyrOgjU3VEE052i54wqzGfLQMOk0GicoFLAOowl8UnlXDL+KOXEEmKtDKJNPrXrcDct2SSY8xilkg/9T7mRyBpMkYzJcsSTZw4UUVQMrcYTZOsT0miplNWmOuik5AVQuO1GfXW+Ge0IJ4iPe4bMzazdX8eE3k9Cl4/Xx8QJ+YylIiTLqRm+ArCvR9e5FDEzvi9ftUIaAQyiwAJVlWBTf7i/mz5r1u65Qju005ohNhqQSi+sQqBOHhoGsvqHeYWy8+2yjo8GO7AwyM1+XCVU00RMcxnFnz/JfR14QSbNMBBjl9X5JKMWaWtKyAttFv2/Cbyy/j/0l0DVY/kwbl4MIVlgD/hOXTTCIwGAkmTMaOWlcfjUYW8582dJxWVFVJdXa2c+VnCiFn5dTMXArFPypz0ookzHVjnVDvkvz9ikydQE+44TAQkcvOQ+mIeJsaiLHzQTSOgERhVBPzIUdMO48P0Upt44HbQDe3YnbMdsg4PWtVwgGcC2LFOKKgde2ixUxHNv9vlkxC0XkxgTTNtEK4X/9+GLJlQbFVEjPMYHySzoOG/0BSWv3grII3uwecq4kPiRd+yIKwAX3jbK795Lij/EdUzZoHUjjXz7qgOSH3ylCGQNBnjAs5ySIZvWGNjozJRNlxrUEKtXLWyN7N+yqTUB8oIAgzpznKgJugsh9w63a4mdRdmd5opOenpphHQCIweAs0wve0655f/8aFPTjQF4U4QlhzcmM0H/ajhGJYH4bTPAtdjvXGqoXvF4/B1ZQmx/Xgw7PKHpBLbltbaZAqIKFPv0FxZgeTKuSBoLPP2q4Mi75xDfrUhtGKxX08DK9uGmrIlH3XLf0bwQw7nu8H53FiHWMtvQgSSJmPsg2GmLC4uFjrzs9A3XwNwNqITv25jFwGSLjr/5o755+uxew205BqBWATojH7mekD+r7e7xd0UUo7tJC0dIGFt3qD839tBVvJs8uCSm0Ozw6TJ1UVW+SxcJz4F7R+z8tO/ixHdnfjsxMpVBU0giRjVXGeAyd8fCSKwwTKsaEofjvk/UOvzN1aFkJ/NJk5NxmKHoP6cZgSGRcbowH/kyBF55ZVXlKmLecZIzOrq6pQfWZpl1ofXCGgENAJjFgFqZkikjGZ85iubigLEDko7A0sEt/NvN0xpPlTHgMuUIhzcRs7Av2KQiXfP+uUumCvzx7ADP7rSp6H7KMNmAQFDnV0EF3WCjOWhf0zbQ00+cSQODe1hOQ3N4Ty8Z0wDtyXT6GbWitQ+11BqioEQzj5XKJkj6X01AsNDIGkyRp8xRk1u3bpVPv3pT0tlZSWSvbqlublZGhoahL5kumkENAIaAY1AfwS8WPBbUNKIZjWSrmJknK9Eyhj6KZFonG8OyfYzfunyBGUS0s6smBaCf1TELEdndZrg6OsU23BYaYIzfzdMl/k3E5FAX5uB10kknO7E0kK8ypFmh/5jZFyEIggnf3hX9KbtjwMPvhy8KeMumF0eiJ+NDFA3jUCGEUiajNFnjNGTdNjPycmR3NxcKS0tlZqaGmWqZAFx3TQCNyMCRvDKzdg33af0I9AAzc62UwH51WGUFkPUMklDAcjFCpQiu3uGQ9444Ze3P/HLqbaQ+EAwykAMZp/0yJPLXbIUqRzyoAli8ubYdA+UnPm4spHiIVITNf19SfcZFGn1hFQx9HeO++X0dUR/Q32VDa3YrZNtsna6U1wIHL0MrBjU8CIwnWlFqo+etDyJyGdQLpo/WXP3AeRwmwB/NNbs1U0jkGkEhjXs6DO2YMECef311+XWW2+V2tpaRdCMskiZ7oRxPi6WTPxnpkUzjEnVvHIRK6up8OK1DDF0Co24mepaRsljOtkwztiInRXX1ExNYcX7gH9kEiZqxnVM5zijBiyAFX87yNbvwecrhChIRj2yWRpFfnI+KL97JSA7LgTlMrRf4BuqnmwjTI974A/WjPIYf/+wVWZWWqUdPyxgrocoGHkobpqH/FxMnBrpE45tsA11ptT8Ezk2708bohwx1lJcjJxYuVHu6VJLUF7Y65NfIFm1G3gxnxqHOM986FJAPjqDGrp4/3pjEGRMZBIAIYGjC9lQjbtQE8k/no8ENheJY7++yoE0QKxQwnlnqKMk/n1kDQhhbTLfXGusT7yuXDujI+wT72Hq9zTux8h4S+HFSIGoxMxYo1JwuN5DDIuM0Wds9+7dcuXKFXn55ZeFJIxZ+K1wcmC9ykWLFvWeIFNvOIgCuCuZdDZIb0+TtDAWRwY2ELMAZ2STNMrl96HgMMKSzIQX4VGY4VryRvRzpjVRC6Euq3E9zSSbwgxx+nQTsFqV0cU0qBEz1rN1e9yY7M1FFAMBv7qeLOeWrhbC5N2GnH7/ez8IBPya+hAGrDOzMM5/9glyaoElUMNlzBLMg+WGNujlCwF56qxbZlRY5Gk4Rf3JHmTiB4zRV5mcqNMPn7Juj4TTfMtw3ghYA2ruSPX15D2//6JN/nZbQF66GJRp6BdJGEeNEdHN/u0EJiRVk/AFl2oox/riOtjFxA8Lc0KIHI8ce0ZpWB5eYJdVdX7xejBXD/bbYXxnrAFco+DRY6oWPdeaaX0iSJwzzLZuUi5iZpBFfk5VS5qMUQguRvQT+/rXv65MlQabZkTlaEdTkhCyWY07N1VIDfM4DMFmMzAyk1wWYGQ2uYgVMaNsbGbBi7JwUWWz9hAKM8mmMMPyxOtpJrmIFx64VePCbTbZiFe674EgbIuX4RjuBRFDOiwM7ggexr/cRCIWmbmMrZFXNeSww4VmpHHID8nVNmTax77Rh1C/x+4fnwnKwWkityD9Q8802PdgKfjEe8CYN1J9PT2+kMoV9u03fOLrDMskdDKefxynVEOzaCSEJQaJNBLcVrDhP77NgQS5keCIXJAy+qDZAFo6cDPWAEM+M90D1NaZda7tvS852uPdHAagGX5VmGHeSHVLmoxRABuevBk9ySLhs2fPloKCAqGvmKEhS7WQiRyPJNGOxDM0oZrJby2ieUKNNcjlsKPkhmlIYrC3rqgD185EY109cZPsM5+d2QrPqweRkFuNMTPJFsaqRY1FlisLPi/ROpNE7p707kPMeB9k43qaZfwbPeaET/NMTk76ElXbwR6yXAGY1bz463k6MwToeR3o/jO2l+TZpSOAnFutHoGbWbSVMnIEEjaPRU412+W2GbifU79WqPMYJjcSsVReTxoNOuEj9u9HusULs6QX2i+j7zFQ9fmYCAkzFIV08ndB9fgtJJS9fRaqyKC8G3/PdRXLR9oaMVNaYagvs53mugeUyQ0aKK5P/DNLo1w+WJO4lptJLuJjyJZqrIZHxjDZc4Klz9ihQ4cUIauqqpKysjIpLy9X2rJUC5rI8TixUjPGV4NVJ/K7dO9jyEX/CnPJZchjkQ7o5t14zPThj5MTE73mwCGYeXzSNK/HhZ2kmpon4xoams64O4/CRuP6Gdd0FESIe0p4pKjtxMu0mIEhmFE2Y6wZ1zYuwCPYSFJRhhxgNqi/6NPVc6mGPCKvKP2ZFuMenDXBKc2oK+umB39/KqaORVOdPxjBOG1kDP5UhkYsFfMZORC9Srow75xrCcvHl/FQjY0kUCPlR8RPYYh57Dwuwkr4hT04xymfW+mUciSLxTTTO7dxzktX472pMMPZUoFZKuWMyGZo1DlSzdEM31KzzbNEx5hrU41U0mSM4NAU+dBDD8m6devk+vXrcuHCBdm+fbu0t7crn7GlS5emWk59vDQhwCdC+AfLL/Z55aUjKCUCx1m6HM2sscsXlzhl7UxHRsuDpGtBTBN84/6wxoKpKAI+pHNRG6tg01G8Eukp7p9pl79sCIoDjvk0lxG7eGY4o5+8N+14KPr8UicSkVqloBOpLkqt8mpLSPlHRS+dPNZEkL1ZiAhMI68wREvJq+o/2FITUle0wCwJxe6geCR7Upp4YbmVv1zpkLvnOaUKJZRKSMJwID1Ok0VT759uBJImYxSoq6tL9uzeI23tbSq1BYuGz5w5U5mVSkpK0i2zPn6KEKAjYqfXKv+4q1tePAg/DSwSNA9wotqP8iBHkdX6z/B+9VSHcnZN0Wn1YW4CBLiQ0rTE/E+7UaKnvjmsItFWT3XKjHIryvLwafsm6GiKukAHe9ZbLEaN17/92Csn2kOSC1UWTY6MFIxtVKAFQcQene+Ur97qQloLaNWQcf4xZKTfBsf2IDRJxJ8aMP7cBieqWaghuxD+YmOBjZFoetH/BuRbY0JXWtbrQDRXo/j3i8i1hvCdPgEKsfgk/BnnqQRuE5GyIgdkNV0aw4Tl0TtqBAZAYFhkjJGT+QX5cq3hmjQ1NcmlS5cw8TJSxC13bLxDCgsLBzid3mwmBGgeuIKM3j8/iCg8OBfTnYWLLNfQbjyy54Ks/RLh5bdMsiOnT2bNlWbCScvSFwGOES/SD7xzwic/2+OTPdcQxQetBnyB5fWjAXlooUMRj3ykiqdWSLfIPUXT2KZ5Dqkrs8hFkNdjV4PyCzwEBfEQREz7NJIsYFcDv6ZS1GQksbWDSSxEvrFvr3XJa8cC0oqgAPi8SyEI3iRosn9zuVMKgTnvX7M29pPaQA/6TI0Y01gwP1oJTIgkSg8ucsh79YhYbmXUcqQX7A9/R23iYJrEyN6Rf0lQaRKeTW0hCF42yKxKDBu9k36vETARAsMiY3SsXrxosco1xlQS1JRdvnxZnn/+eWnvaFdhn9rcZKKrHEcUqvARCS/1yNOzH6VEJmMfI+ReTXz47MfT92Hk9OlCZnCt6YgD4jjdRI3MNWg0/nJLtzQg6Sb8f1VKBsJxCsTsxx8jazzqCq6f4YSZbZyCFKfbJBvFORZZNtkhMyuQ2BVkgzUWu+PkUiDpyEOUXwE0jEYjISMxe2JVlqyfFpRTuHc7ukWmgtxNr8ADMvZNRzSgcf6RvnJeUf5hSNdBjRiz1rAodzU0Vyz6zf7Nq3HIH24Iyz9u9cpxaF19fEDE9iqQtWt8YORBEmisLRmCtvBTs+wyGVoxHl83jYCZERjWEKWTdZe7S0U55OXlCf+Yhf/cuXMqL4gmYma+5D2yYYJjyoFuPn3ifbxcnCRsnAx9WBn4Xqv4x8B1zYCIzIT+8SmfHIBWtRhjiJOIobHAUEJZH5F/O+BHZnmYt7HY6haFAO6jbmgRnwXZ+Am0Ym4QjHiTMBRHshwkYhm00tGNhIVO/dMqbVIH/zA23pdEmd+ZuZHEtyAI4Tr8wyhqMbRWZSBi1J4aopM0rYFbxHlk3D+D8eXHwGK/OA8l08pB3u6Z5ZDf2pgtuT2ElqZRs2OUTB/1vjcXAn3v9AT7xgSJTPZ67txZKSoskvKKChWCevDgQVUWKcHD6N1GGQGWAJkEP41KhC/ZOelhssL/qnFy5MRYA8djFh6miUA3jQAXNNYK/OB0QKq5SMaBJISx1ESNGXfuXWbj7DgON3WBZX10yi//sN8n2SC1sVZc3mYkV3n5YfncEpHqwvi+dyQVRq4ts8PIYeABAW1koW/0n/5hJEv5MK9GEzH2ww9y/4sDXvnHPV4V2a3mI/zTBu18Mq0L2sbXTvjlPHzzvrDMBe2hVfJwPhIz+u8RZ900AmZCYFhkzI67ac2aNTJt2jTp6OhQUZRtbW2qNNL06dPN1D8tywAIcBHgpDQRZOzLcy3y5gmYIzFRUluG/8WFCTMXJpFPLbbDpyPiszLAofTmcYQAfXw+OhuUbfDrIXOPJROEgqayHCx6esHrOzBIStpBKt48GZRCwAclUR/8iBeJyoQSm/z2aqS0mAB/qjFs5iV9UmZJzCvN0AB64faQjQdAmlpz4BMR60/IQAYWUf+XPX5p7/FhJYLELVoxxvmJLd7Yi3wDnEF0O0AAz3UG5GxjSGpKrFKYa5MVCHC4Y7YdPmran9HASr+aA4FhkTEmYauANoxJL2mi5GtnZyeKuOZAQzaGZw9zXJOMScHlMtdlla+vdiApZ7c8dyoghZjpqO3IRb33Ly91yMMLXTqSMmNXxPwnagOD2HbSr/x34I/ef0EEo2Cwx0KY1xxandrvgroRQXgcjvc2MFkaGUlYopsD6q5KPCAtRvr5QhfLroxN0xrdGkjE2rthlkS9TX7Oy0IVAQwaF/oYz1yIal5yrTkoWxBNORnvDR/WaHzUewCXRfUhDtoNljYQKSN2TOV7ClHhh/BnsQTkxSMW+U9ulzyEqFSSQt00AmZBYFhkjA77H330kbz33nvy6KOPCrVifM9s/Bs3blTJX7XfmFku8cBy8BrR/6Suwip/en+OfLkhIGeuhxX5mlltk1rk5XEOMHEOfFT9zc2KABe3Jvj7XGNaBqyFsUsZNTt0QZxQbpMnQeTpnK1bBAFAp1o2COpUgFePB6E4MZTK9FiOYtVW+AzE8+PsOcwNEocDk9iYjbQxulblD/MwiTOS3uYjYjLHOqiJkBjRr+xG54ze3nhlROQ3VmdJNzRfBy4HlIaW5trYsWj8grjwmQCQqn0cIHB/tt0rpYVW+cwiZ1xSaPxWv2oEMolA0mSMzvuMoDx16pR87WtfU2ZKErNHHnlEtm7dKhcvXlRZ+DPZCX2ukSHAySoPZqXZiGSaVhlxmOUTOie+eE+wIzub/vVYRIDm606Y2KgZYxRgvMZF141xc+dUGxyzkXEen8d7M0gYtUQkDAXwv7x3jkP+GakpyoFPtJ8m7bod2On+GUi0bEFRcRrncAPyGNFQkmDQEf7gJeR4Ox9Q0ZhTEFG5HI7vdXD6V1n+Rwl4asCYN4zRkgH4DrIYd0U+zJIg5kP5atFEW4Eo3MVgTogP64MN+88HxwqQurvmOuQqHgjeh9/iYEQsGgKDrNEUmg3t5GFgd+9canEVxNG76vcagVFBIGkyRimZZ4w1o65cuaL+qqurZerUqXL06FHlPzYqPdEnHRECXEg5MdHEpJtGIBoBOkOfQRqFFw8hghKL/1U4YseSdI4aKCtkPnxzlsJEyYV1vI8kOqMz2IEL/1XkzSKJKoWZrhKE45tIAPsmHPmbUYfRAXLA9A3EbAH8xfYhqetHZ/1SA+f9xZOCMrsKJl/M1MScmqN21HD8yU6vvHDEL6dgAszGeVD2VlafDspXVjllNaJYM53ign1jfykb/cOQolD5hZVCG0a/N84vQzWStXIQty+h8sf/QoBxOQAAAEAASURBVH5D5j7kMdnow5qFB8b7oM0qBSF78xiKoiPakmZInDrhpvalnF4dYJIwaHrHjCCQNBmjaYt5xlauXCm//OUvVa25T33qU9LY2CjHjx8XOvBTe6bNlBm5fvokGoG0IkBNx0WUyPqTtz1yqB550aEV48JqaBp4cjpiuzCTXAf9+hwSvs4DeUhg7U2r3KN9cC76dEb/2W6vPLsbNjv4ThETJwjFqsl2mNpcMq3CIu8gSe4xkDUmWa6C1uwg8rTtQm4/khsnHozKSjzyV/dkqahmYs4krzvg2/kssvj7QZILcFDylTBI2vYzfjmHKNaff8kmRRl0UOcYYc4wRkuqqEfIVIbSAkVIQJuMlo5kk24Rn7/FpbSvjDhtpwMrtk+Av9mjC5zytZVZKkp3H8pKWRAQQBIbr9HaSZYWTztL0lup8Bngx/EOqLdpBNKMQNJkjPKQjM2eNVu+/e1vK/FIvA4dPiSbN28GGZuRZpH14TUCqUeAiycnby4IukUQICFg4fgd0NJQI+YgSDH48CMj4yZX2+W/QNuzeppNmbyHwpCHCnMVB+DGIW8W7Nk3arCe2+mTv93hkwL0E1xLRQQGoO355Sd+5cNUW2aTDhAqFsnm92fbkPYBYIArRLQ90Jg1NwXlqRfcUoEspgHYOrORnoEFwwX8jo2/MxrPeRRkbPfZgNyOHFv2AT3gjV+M7JWn5hjpgPm6AUTMC5lolqzMR8Z7BADFI0JDnZEaPZYv+taGLHkYWrDzSPxK8j8JWNVAa8gkuR3wQ6PZlyR0oIbynYI4AEHO117NGffnkMuGz96SSZFEsDfLmBsIB7197CAwLDJG8mXD4wUjKfk+hDuDGfltNhtU7XgqTnCEU4PGluj+YwdWLelYQICjjwvYZZg7jkIjQYfjSQhamIWEmsV4ch7v5VN4G7thezwBLQT+V3nFojViJFHYLIuqbPKdzdlSBfNRFrQ53M5bO9400A1Nx8W2oLx80C9nrgWUOW0ugkXWz3Iqfyeaysd6I1G4ijH1NkiRE2wJXKsPIShAB7fA3yl8JqCqFxiEiuQlMiNGEOD2IAD2I2jiAnzIiGe4A75kPB6ZRUwj7pX4hwEWlCHdjUS9RfkRRqQuhq9XcY5NETLKSnmG00jIWCJpMgJBanA/8jh2sFTjfswBMZ2J7R9jm7WH6BrnIYZW/PNonU3dyy8e84sX5I3JrbPAcitAxP4DEsEuqLWrmqD0Q9NNI2AGBIZFxgzBrT2OCSRmOXbGqyTWQvAG9vv90traihp3XsnLyZOi4iJFyjwej/h8PlXfkiSNnxm9WVBQoFJoaOKWGMZ6r8ERIFnoAtF4+2RAXkMm9INgG9fweTpMK4snWuWzS7NU0eXYpJSDH/Xm/JYLuyIUcVZXZaKkNgRmKRK381BHdMNLOh8LZg0i1lgTkI3cgMRi/yW//HCbV3ZeQHoHaH640r5yLijb60PynY1ZMg0LcNYYz45DatIGDVgQRIU+T9H+UgaZbUfurYR4QITn9NGA9WwirP0aIc2DRiz6nP12GuGGMGyDbj/+0D83NHt4/lbZ9Atw75DcxBkmSZ+RZI4mTmcc9Rr95zbOtMt7yHdXfz0g7DPHJ91dLQC4Dg9TT6C4OlNXdOLLXx3yK5l4zxfCh+06tIcvwCetANq7KahiMAdm9UKYjzPtZ5c0KPoHNzUCIyJjw0GG2jCSLfqXvf/++5iggyoVxt13360I2N69eyUAB4Tbb78dfgh+OXv2rNrvs499tpewDee8+jcagWgEGBF4GgTsd173iA1mHxsWTbilyHl3UM7AR+pka1j+7tM5Ut5TriX6t+PlPRcv+vBUoQpDkQ02KHzu07D4ofIRFjWL7IEpczdI1ZbLILXwj5qBhfCxBQ5ZA3NZAcgaNTkdcO7++4998iE0Rlk4FjU8bKz+sAXO7JXwxv4WCFktzsfFeKw2iq4SmoIYDES4Bto+UJ9joY+3HzVpHTj5LGgqWVQ81Y3jgdGI7qAdGjGLIoiMkqwAESfpTsMp43aB51k4wS7fu1vkz98KyysonaTYPkD9DPzw/miTSybDpHkc9/fL0EAaEaskxp9AA34IfyTF1LTlIGDgO7dnyZ2IcC1E3VDdNAKjhUDGyRg72tzcLM8++6z8xm/8hpSUlKicZS+88II89NBDcu3aNaUN437Hjh2T1157TQUL5Bfkq2ABbh+sGabPwfbR3yWOACfgPg3z1c0wZbWAGPxqn1+cIGJM28BGkxubHZ8b4avzLqoSfBp+UOO12DUJUS6I1m0w+cw/ZFVaLy5sxqJLZ/IczCDvYsH7n9A+YE1W+ceozDgCDdkTFwLyJ3j98nKkucDvziLxZiP+SHwNrIk3x1MRFtLnQdLuRbZ0krGx3LjQVyNishze9Scb0D90sN99lIYO8lblXzqILOVn9YUmRH+2e+iOwshQi9I+KdMgL2IGG0ngLSi4/k9ftMlZkCsS/Ry7T6qLQQoh0FE8FPzt+93iR7RpNPZ8b4wuuih4kYLjDxCc8td4YLgfAQLpwC6DsOhTjWEERoWMMYP/gw8+qMopkTzNmDFD3njjDSyKzDiNshler5w6fUp++tOfyvr162Xp0qUqnUaiOPMYZiFldFI25DFeE+1HOveLyEW8rb3yxZ6P5ZEutITl4GXmDIoskvOrUVYET5B88ufElo4W6nGIIV4cEylvWDia4HD8MZ6cYZ1Q2p3Yc7CUymF8fz/OrzQ4PX2NHldpkS1WkAQ/K2d47EvsrD3XNMGfDrnbLCQF/uNNWfKjD2FebMCYgemnA79ajtQLVzuBJUxyhfhMokZzEZSOihRU4/XnSL8wpzwkqyahNE0zfgetGclKvObA4sgxRzVHOi57vHMa96RxXY3XePsmsy0HptbfRJb3Zjjln0JakIH6nMwxh9qXzv8u3DOnMG4nlVrwHjnKesbtUL+N9z35FeLioQGzSBvITgtTTeDiOi1+KYEWMx/2ZBtVUjiHoeWMd5x0bWN/iyDHPJQ46vZa5EKzVX74gV8+uO7BAz3MwBhL8fofDYkXY84C8/q7p/2yAaZPXrdUN2OuJQ00xluqzzHc40WvT2aaz4z+GHil6r40jjuSV2OuHckx4v12VMhYcVGxrF27Vjn8MyXGoUOHZMGCBSpKk2ZLZvR/6aWX1Lb58+dLUVFRPNn7bKMvWSAQUEQugEceq/H43mevzH9gfwy5/JjJzCJXCLMn5aJ8QRCtWLmug6x8eNYivzocll3QEpEfTYRb4Jo6h3x2YVgmFCG/EfyC0tEUZsCKNyDfp7qR3gWh1nFw0R/g4Co/esgvPszW3aFIP4lZGEAwYIWJj5lvzyxNYRZEAlDIxUCaVDZqshZVheR31yJa7wq0W24sxPC3aXJb5PmD/YtdG4sdffHdCIr4+AwCfKoC8v5JrzTDxyi2cX/1G8Dpsnqly4P7JHanNH2m7yqxI26pbrMrQvLNW0Pyzx8h11ijNe0Ek8QDBl7MgX70JwBtJOnU8BrJMK+JH2PfE3BIB1NM4ARZVhQ4xzWygfD7cW8ETTDPUtZ6EP1ntofkzdPQ3IYicwa1sXFczvoAwj7Suf8CSlS53R48aCAABYMvlePPmGs53/J97FzbR6AMf6A8HP9UgJhp3VRy4TpSLrORROIV7BljqbxcGV9NSJro8G9Fhj8659NHjMXGaaKkxoxBATt37pS6ujqVWJYLCy+GESwwWOcNxmqmwW7hnW3ixusRixcnt+2nQ/JftgbF04UIOczpnNQuYb16rsWHaC2R39tgl1omc0xD3wzM0hWsQZmp3VuB0LMjVyIdiO1HAbyBl1ShmHCc62do7tLQ9WEf8gZmsT0Z9iF7f0jHZhf+mQ1V15yaCNEDX5IfboXztNKd9JCp3l9E3mAYiQX/tENL0Qqtyl4kMw34+hME7gdXPbm7xioT4PSf+h7ECBbzMV1P3Xl4WJlRCZMlCr4ea47kCIs5dco+EkNep0ZcjzrUtrRbSTOG1xQRw887oDFqA3mmLxqjXIvh6MeakOCvoHzmIRXgE/Im8rW9czosuXjf+/jWf6jFBYR8Uvn49XybrvGXrvksbqcS3Mi5n+umBRN87DqQ4CHSupsZMTPm2lR3PONkLLoDO3bskKtXr8rDDz8sOSgyzkWO4NMs+eSTT8ozzzwjb731ljz22GNKazbYheGE6nA6FIFjdQCzNGpRAghEoEwsqD5YHzIpM+WilocyReOlnICxeP76pFv8ME0wQgnzm4pY4jKM7AXy8QWLnG9xykyUT0pwvkuqa5QthCcP5rOjfOlo1Rgin74lKD857RY3UgE4sZqRcNLMBouHTELerI1zsiUPofDcbrTI020orbIZ50rmlZj58BTpcsHHLQMauxA0JSV5XjhBezE+OEL6Ny5yXtiSapCVP4Dr2R3iEt6/MRruHPC/Z6ZLaksdyKXVf590beFDHueO7Gzmck9tY96tI9d8yoncFa/jKTwdrbskTI/PdMjCumwkjCVhSr5RTKYfYZqX9h4tZgnuAUYmOugoFrZBgxTRpPP+HO35jNrAVshzGKlEfNAMc75KptHUacNAXVHjlOJCVx9SlsxxBtuX48sNbTLJjhkwi5aV8wY1PVSE8M8sjZj5/T61NplJLuJD2TjXprqNChlzY2Tu2bNHlU/asGGD5OTkILmkD4M1MjFWVFQo0+Tjjz+uzJUffvihiq5MhsyM9iRhXCgLbkDKEv1nfDearxG5bjwD9uKFRbETJOwCasPRQRtJwfs03LsSBGO5jPDwABbXZDJs9zlQgh965Upw/0R3YyRVHRJJPvNAtvx6n0+2Iwv6JWgC5iL0ff10uzyIhJNDZTFPl2yJ9iF6P15PNis0eZmQiwR1dhkXaOQZBMW6MZIiUmGYqPJIS5Bm4O55SB1g98sEOHyfAmvA3N9Lyig1tRK1JG3wc8rCK26XUWmpxE2RBPjHHUAKD2r9uOjHYpTKTs5AsMCG2U75DANOejBMBkbKy2hD+vSxRBOvEVOMlIGEMVKS9wuvC33IjEa8UomZcdzkX+HXFoxP9Ac7FsdwJ/4emGGX+xD5ywjUdIw9Lt5GMw9mEYmMeYOfzHEtDaRuvJpNrujreUPKkb8bFTLG1Bbbtm2TKVOmyKVLl6SpqUkRsUWLFilixid7mxVJ+yZNkjVr1siWLVuEvmNlpWXKxDlYt8124QaT1ZTfYXLiJMW1Pe7ige2cj+mWxLdjtXHS5SJzG3zgZiAM/n74xdFBuQaL2jSQNOYjijZdRPczXTdj9DnM/J5mLDdW7o+RysIHAntjqYlIzfGTAxVFGYpW/+YqF8xmeJLstsq9853yLLLSt2Ox5zE4fozrsA71LCcDd+aQuhka119G9G1D5YI8dCjuvZSijtJMR//NBmizXv7EJ1c77Ko+aD78CwYaw8apee34gNUNLR6d9JlNn9eFvy2CKZ/3CK8Rt5m1Mf1KOWp+ZnNOQl9ixyPlp8afOJEU04xJXKzo2+NIafEkcpJNRDgv99PNPAgYbkfmkSi9kmR86uNCZkdV2/Xr1ytfMMM5z9CKLVmyRDntkbE7bU6ZM2eO0pLxdzRjIkg+vYiM86Nz0SjA0/BshIhfQVh+rIe7mswwUU9E+oGhJnqzQ8m5l0kqJyCbdw1SEbDpCVnBMOg/PtgVWU/xB0icmYf3sXekBRvmIsLtj+/MVtpHuHpLEFr9T6NuZQM0rn8JTWQ+fkdfxDYAvhIZ+L+9LksKXdTqDXrqMfEliRjz2P36iE/OwHyG7CD9CEIqO8IHp/2I2HwLpYOQFg/52nzyXeRr2wTyWxCr2o46MeWkiZjFvZmyQkVKYkWoQO4tpjRh4W6zXw6OF6a5uGOqTV48ZpFcaO0ZIYluqbHEB4MiYICiD7C+QNuHkF+SMR8msvvnOuUP78pSfYVRRjeNwKgikHEyRs1Vbm6O3HLLLf06To0YSyyREZOcsfHz9GnTEeFiFpV4P7Fvqg2EnRPxYzDTHUEyxROY4IswoXHBpV8KY86eRj6eOVhAb6aWahKgFoObCaCovrBywe5zASnGag7O0acZizfJSAm0jPRjQhCZWtgLscj/R9QcvG+uXQ7BfOfF9ulImzF/oh1amIgm8mbAjVqYVmipDiAtjDLJGqD0QSq1H8i5JuKPp7LgRv3Ou93/p733ALPzuM40T9/QfTsCDaCRc04kwQAGkSIpMUqURMlKNm2t1vZY3tHIfuxnPPPMasdjj6Nsje3xrOVZraXh2tZa0mpsyyLNJJkixQiCBEgCBEHknGPnvqn3e+v2D9xu3E7om7sKuH3/+8eqr+qv+uqcU+fYFE2q7l17pV0nGEPEcCMCCevQN2rIaY34DqMeyl8alo0efdZdK8L2J/dE7A+fj1uXVvn2inG1qu3Nl3T2P94bc5LJl3Yn7eCFlJzUhuz2ZRG7UVLxJs0I8v3uZ+fNb3sExopA0ckYGYOQjWiUl+FhrgyOlGX9HmvB/HlXjwCd042LIvYHD8bkGDVubx7H+FpG7RpMP6DIux9eJ2NXhT7xndhljJ2UQRid0yB8UQMcaYoMn12MS/FWBslqSZS1VxIIJDK5Eq8rBIzj2W0EKQWhetZp4ceytogk3ZKq6aS42Mu7x5J2RjEYp4lAzJNUdoYGzOHun+uZ5bQPMvaufH0l1BbGa1B+teXI7iKx/YqKYL15JCmSEnWq36AeUNUhITqvFxqVJB71W7RgolVkmHiQSLuDc682L6W4zpkcLDP7M/VRRztiLtTZLG1jF7pIC0hoSysVmaBTuMQkSWvSB4laJZa1FPj6ZxYegZKQscIXyz9hoghM0VT7Znm4Xq7ObK/sqejAZ0sHskAqPSRnXqx/GWHIyXmt6HrjUNJ+pMDER85ohxQl8+Ri4IE1tbZhYdimabCrlo4fG50FGuBkYmdDOxBUQDGxLpyOQrRAIjuBASv9uEdCC0B2y3v69xUbdKtsq05oFe8MSSo2KIjzx66ttdUaPAvhhDM7P4XYxrP763LjQfzJofgU4nlD7wnmSCaPy1cgRNctstBOiFeP8nROFdeHelnEi5WSrbGQ6qMySVhQdoh+C21nXo1tRBwrWRh2rZghBIl+C+lftbyHQbn8d3UgUIq+ojqQmwSloE8jrMts+X7KTr4zy0ZD6ltJiTaLTPynJ3rsqKQ7EQ18GhusVwPyCzJy//I9MXtA6qLaYolJBmcv77+QQtwmicvCzXE7I7cg/SIfgsCpsmX2ZWENeg+ulssURkjtx0AceyRISlrfCbFXCGyHCOyfKGTNj3bJ9cvA9cf1vV2q8R0nUvbVT9RLSlZ5tomU7Yyko3GVFy6gr6InnnlBLiogXUiCsPNzKklJw5COIQ1DCtlYZdIhsA+IZa5+Kte+oleOf6BHIAcCnozlAMXvGoyA78AG4zH01yEZaX/39bhzCeC8VcHElDQJt1OKfff9bXEFNtbqYNmvVAOWqLLmTAnb7z9Yb3/0vEKXnUxapySnGI9PkeT0CwoDdNeKWrmpyJAwHL6ealdMQ4lmtp1K2hapvbUWxxJSlW2XNDHw8KVxNLPaTUziGcW1/KikjB+7PhN+CzwrJVHH07SEkgAVci9VkoRs6Lza5bHzaeeygjpAMsYECxUw6mIW41RDe8wFcLWWK1dZ/b7qQMCTseqoR1+KEiHATHyfFjq8qpiNUW0PlYIghdin4Nh7FAAbMlYNiYEOFxQb5I7iKw+FbJfso45LQoa6a4WiGmCng3po//mUPbU9Yd/fndCKPQb/HunP0tYl4obEDDcECZbz6X92gssSAO0tSRbvWdtvLXKxwL5KSZCctarrFhGfLhW5FIk66tFCi0MiYyFliPpok0qyWSQsJgktxysJ01Jg6J/pESgmAp6MFRNt/6yqRKBXhKJDHy0evIJYQL96xNAYGKspYRDNSrS1WlW7Uo5dIVXYJmGHBLnCOPxvNsXt/5NUMKHtHtmHRUVV6XAgK5wmLjaUh2lPJkEWkrJ3qlSfbqxOBKNSJR4dFoi0OlSR00XEUFc6A/1SZco/1yPgERgWAU/GhoXGH/AIjA2BmTiK1WB3XKRjaEJSNl+SnYWyfYJgVFuiTEhdAncISAq7ZUC2Q6sj/0orcRu0DSGV8/1LCZSGShAvHdQGx4/pDyTPOR3NPlgB26ymPKwIFbjuoNiUp9iJekB6OUdtc75Ux5XuE7DY+PnneQSKjQATVJ+qFAE6ZPep0vIVoljgNd60ZmbYPiYD/V26FnKC3XrwkXbONiyO2BKFDqrmFBBNVvGdEhF54b2kTROYkJGxJPBCYsb5kLtbRSDukVPOZrlQqbREE+oS22RRQ6mSqkFx/WqcA9dSSuhKVX7/XI9ApSHgJWOVVmNjzC9BilEdMR7gRoABzrujyA0ehs1dkmqdFIk4K2/k00UAZkiigCNSSAYEYbjE8SbZSj0sVwwXdY8fiIR06ptrsM/5jFYVfvaGWqvXdjUnfFvhpuJxqSV/dFBuHeTynFWUY6FSSHDSUqG1i0G0CaeNkoh9SpgRGYHY1JWWUK0elXPRThhRCRItrV72atdIhYyfu4AolyAr/pEeAY/AGBHwZGyMQFXKaZCwwxoItytczX6FSElrho4X6g1azUfIH2LO+XQZAYjYHhmgP6OVe6/vTdpJrTqb3iDJzJKI3S8fYUsk9SIY+kioQXQXKL7lr94ds1sWJ2XQL9DFgjFk5z5TRO6qWU2UUHFPa9XoX/yk134sDJOyj2PhAhKZkciYLrM69UCL1T4/t7FOLkJEhLXSb+2cyCXV2ki4X67F8tvqkVsJJkKUn3IWM/G8JVra+sGVEWsQua1UDIuJmX+WR6DUCHgyVuoayOPzGRRPtKfs95/usVcknXgPGyb9n6davkEr3758d51z5OolZBnQCVaNx/zf/pde+8le+boSfgiw3jtjtlnuF1jN9/sP19uM5tF9XUHYpksK8SGp1gJJhFN56n7VPhh2y5HoDxWH8Z/lLywqDBFmjaYaAyPZ9NsMBWj+4vvr7EOK6hCkAL/gd6V9E2Fkoch5QyQpT/DFzz0k0CRprK+SWJ/FR9A/0SNQfARGmrgWPzf+iRNCAJ9Wj74ct6f3SUUkg5Vlql0+jeqddys0yjdejTtP8ZAQnzKG5k/siNvhE0lrEUbYLDGQOd+sIhWPHUrZj99NOBXmWPGCSEDCHBHjooHtS7/HeqMKOY9ynZbz1qf2KVal2hpEbLTEZKBREtrPrI/an3005nySgVvwGe36cj+OtO8ja6I2Xc6SkypXsRMTii1yp7JPamPXoIudAf88j4BHYNwIeMnYuCErzwsgEceknvzB/oQL4IwnBTcwDgwGSM0OqYM+IBVay0LZkZRnMYqWK/DCzmmL1LndSC+0QxzBJb5Rs7Vp5yYRsjtWju7rClKCyvOE7M4OyL9WV5+kPrI5OyVLbmynZrfIBUSbPJ6LhFSbypLynZN6nDbFB2xHSmDVXGf2MxtjilEZqsiQRyOVj8UIqF5/4YY6+z+f73ExN0c6P9/HWM05RfaiO6R+/4gmZUR+gOj65BHwCJQvAp6MlW/djCtn9LUX5e67V6pJyARELHtQ5Hha7INgzGkxDecPSvsmc4IUYGPn7JsEhPjqpQSGvBxdGsxSnACYwwxo3KdduG87mrS/fyNur0kicUbG2yslonhPCwIgxqulwnxI0pKHr4vaLKk9Xfi8S0+r4A1hQtDla6fW2FPHMhgGpHa4UoHXOxfkkFQTA8hYtREFylMvrWurXJrQZvR/0Ls4HC752k9ThSAfkKSckEzEAvXJI+ARKG8ERus3yzv3OXJXrk4iC50vBjgG+JRqlM4/V0I91KCBk+M1XDCZk4qPWnKRdGuolTR2DUr8xuRujSQcGEGTsusQfoa0sVdStW6xLYjYf3y8276vhQBnzqUtrIFwl8hGVDEKG7UoYK+kFF9RHMZvvNgnQqx4jlUE/1QFlf+4VI69EgmNZisGjmDbos8bhxJaeZrW5ED79EGyyHelY0P+k2ogL+1J2DFNfkqRsMcjTmghUj+xrJSy34dCPMff0yMwmRCoOskYHURa08KasYwKRajpVEpx+JSnQucLcrBA0okHF4Tt8Z1JJx0L+mLUJkh9GrTCalkbZEwDoDpUOtX+/lBZ4UWVZPKGBI+BOtPxF6Kq6sJp+8S6iD2+O2l9cpMfxEh0YgyB1yeScd86hbWpTTtJAwQ2U5dIIftFthL2qmzxkK7tOKbVqxelEhoYe1EVkaQtcom60GJW+xvZoN22JGyzFCsnn02UdkZKaflsDSNxgZK788DtIR2k2nC/XbsgZL99d9T+x6aE3DpkXKpkjg7/Ny6QCGDd2ZtypBZyiyuLRpHfRqkxB24//A3ycKQQ7yaSVCIQ7JbKmkIUoxzZUPC+I/neMIuJBm13bCQ5+x7DbffT0SghXQ/a3HDnFnM/eSFPpHLKV5Af+tp0uvz6WrAK3oFUUn1HPjslVxtX9+dyOyvsGHA1uStU+6oaMsYKpr6+Puvp7rF4pARLmHLUKnmioScSCffdF5IhUQETZOKnr+uXesIkiREREEmge4qrY1413ex/XZ/SasEu6x6IXszLl4gnygavbGjADCIWj8cddtnH8rk9Q6D9u5v77Xvba+zN01I3Sr3YpLfihmkywl7fbzPre6yvV8Rs4KHU5z65DPn+O7328qEa+SXrtz6NuRENBMSmhHQNl1Ad1Wvl4YFTvda5sE+kODN4DHf+ePaTr2Qqqbrtlj+5UH4x0+AOJz7XhdsUEQ15sm2O9dviaTUuJBKuPZAEXT+n3+Y0C5/zNSzmGzEhdUwnkva3r3TZrvaQnemrUf6FowBcOaXfHlyRVnB1TSAKqGLj/aRjTSblG66rU+rSzPs6YsbHcLC/v8a61WY6FIczfzU8hgcPnAL0B1SWqXVx65GPDX4HxHnsd7nyzAAf3s1QTUjYlciR2pVZc3voLwJyMcwpJdtNX0sqN8xcnpS3pN7FcJk59aM/6+3tvTR+OgBL/Cd4B5j05jtVDRkDmEgkYlEZSNTWXl4mn2/Axns/BklexGi0Vp/Cwh2Lma2Tj6zfvM/sh9tT9vaJtIzUtapyesh+akPEVsyUxAHGoES+evt7LRxWUOdo1A1E4y1boc4nb3SsdXV1Ln+Feg73FWR279oaW7dAxvyH++2sVgZOk+H9+rlmS0TInFf4AWLBgNYnG7Ind/bYt9+R9Efb1CiHxXvHtJJQp4ksRVS2SF4lY2DGIAlmkLF8pi6pYY9I7fr3byTspUNpOyniNFMk6a4lUk9eH7VF00LOyahJ0nikt29M5cKc6tUj/XZCZDYhCRnkjAT32itQtxzvtz95qE6Bx0MWoxIKlCD7DOAxXp48JdpJSlmeUhtX+8h/pz1aNh1aeu8j4Vq1B4XhGu2CqzjOoEQ/y3e5JCbj5Id3oJzyBT49vT2OwJYbZsE4EIlECz4+jaedBP1ZMcbN8eSLc8kb/Ua+U2HZQb5zO8L9ACggFuXU4CEVdBK1IonFID3S7tiNi6SiWCh7JolzUJmwgg+1RXa3Sb6SIokRzYbKrfOCvMbDGshErotBrNV3W3OjaeAf3MCGjjPKlp3qTNkPjyUU+Dt1Kd7iAI8YfHGOX0h9urWybf6MqMXqLvsjy3HquHdRn+GQHNSK9Odzhgux2H9O/tbki+2lg/0Wk1obqddR7f/6FkUt0AKF37in1ubLr9a57oTVShyLGnykFFDF452ZFkknlB27Epx3nqmx77zRb7+qe0/R4odCJfoNyFi++4yI9NXLW5L2Ro0KI6zG2kbyUU5U40uoo4tyNhyty+vq3cwgKSmKOpRy6jdo/5k+LenqMt8TkonUC/lKSPIUkv64nDCjTJm8yT+gBAXkrVwS7aynp6fs8hVgRl+b71S4Xi7fOR3j/cptRjTGbOf1NIY4hAkNkIwBVwqZYS+vj6m6m0G+sj9DC8iAipPYOq1KvRo5igRp9il5Rb9W0RAqIUHEeiQVe1nuUt44nLB6/Sbn2MPpvzWr9/hn+Rd7egdyQcJC6Y8GnMBOzu28ij88Q4ss7R8Pp+yQ3ISQj0pLYdneLFAEhrjINzZcxUzAhY39bmHXK7V4IfBjsCy3VI55GoRR+UE2KHvl9iOwGyu3fBUqP1VHxgoFVCXeF1vMiWqs6HN7NSCfkZrq+HnFbtRKQJbLl2FfXJQqqo+GZIMXcmrJ8TxQkFlC9fGQVh0GMS/Hc30pzoVD9IlZ7Tujes/wrcHZUNuI6fhbh5N2uj1tbWJn87WIxDnNHXzmuH7xXEhxj9grRv2Vmm5ZGrVbRLwHTDSLWgykjQ36M9H3v6iZzsPDyp6Q5aGM/hbViUDVqCmrs3pKWypWCZ6VJGirBts39iftoux7ZmlF5m0rIrZmdtjZVk2mzh6CMKOp39r0OXpWdTMOogB53a/zZStu4nMVk8h3KlgaOiTXOiQ9h8JHyW3HN+Wy44ZFUpOyTzjV6KA7zu9xJq5DirhAcSqJ61lJSVYBbuUtJHKKJIUPKzzWzhMpLQKROvRqARknAJBZ8Jsj20dnnsAOnzwCHoGyRsCTsbKunqvLHAMCPpuyE/ZK41m1zCB8QtKwP/tJnz2+rc86RCIiGl7PaKXYijfj9ivvj9nPbax1bgiyn1PN2wxsLQ399pmVMmI/3W+nOgavh4SsDScxDKqD8Zj6qYRENuuk78YeLFaTSzSWKQUuPZ57rc+WbtFvXcTYP5EiouZURC/7y9UR+YHT3SqATFBe6h61LpOWDn20mNJkGqgFCHof1XZkmlaURF6AbPcF2auq2mr1fNqmTx4Bj0D5IuDJWPnWzVXlTJ4q7LjCIv1QQZu3K9SPXEDZyrlhu3dV1AUvxg3BaIlBhVWDr0ka9rQCQMtVkbW4zlx2MHzr2Le39LnwPnevZCXmaHesjuO4pjgro/OtR2vsfM9gwoFdEGqhjhycBXhiwn2j/JYtasPIvjIAo17r5fNrnaSg05X3fhGNoSSfmsU+canIRkTtBiKQl8Q9Z4oE6ubljBbvCm49urVY5rwIGA6A2cfC6TatSjjVLjU/UrGAjecFnLHdhGgbHXKq21w/hpd+bLf0Z3kEPAIFQsCTsQIBW4rbEmOR2JN//GyP3FpkYi4ykD13MGnPSdTwq3fU2i2L5WxUA+dIiUG4XYa/Ww4mrF2DC24Isi/R4iAnNdsssgYZmywpLungY9uS9sP94qNDpBxIu7qHcbukQ0468tCaWhcip9gG3ROpH9oChvkxkbKESDjFpjzZybUNnTd0f/Y549lGgrtYn2cUzWBKY41dMzfiVgSP5x6FPJdyQq5wWAv56tS7ggSK/fUi2o3Cq0G6aOSmvdrfqXYRyhc4YyyYmxOoYsKTZaY0Rlz8aR6BckUge4wt1zz6fI0BAWbj2Hc9+mqvvaAVbl0Kw4MEC19YXfIW/+ahpD36WlwqFC0BH8PA0Cdid0HX5ZpTM8mv0R+M+cdwqzHkvvxPAd8eraJ8fLvcWkgCMrTg4DCcTRB4MSj2yjvsYS2C6NDgXTFJWW1SXJ3lU+Q9vEiZplPC9uwJkbE/+FGfs0ljAlDqxHsDCZcfVbeq9pg87J+S9IlJEP4y25prbK5wmiFXHI0qACRtsyZC0hYWDbsAI0hzVD5I5B1maFMNTvHfHgGPQBkh4MlYGVXGhLIiScJeScUeExEbiE/sOmGG/QyRUHxErYo7qHOY1Y9GyOQWzUkl5HT9ioTkolfkYpoMrLU5KRLqOcjpca0aZEAeD53iJbsgVdV/fzthv/ZPPbZVxHg0/MsJVCcFUoFdWypixnDRtf1E0r76bK9bWVkqzHh/IIOdqsMTqv9D8rt2vJ1QTiKqIjzzFedqkWKYThcJIz4swiiueeNA0l7alzAtMB0kWS4GhLS5uKR2cm81ad7RYuDqn+ERKBQCnowVCtki3xdShMokJvGMxo0ryAL66JDUKhc1oOCDaLQ0VavYWJrfpsFmqFpNj7F1CrB9p1ZVTpbkbMI00DbpMxSPAIORiCkEdoY+J+T76QfvJO28pJiQm3JOjsSrsl+Qn7HNir05VDVb6Lwj3aGt/uik3KqcxUlxoZ84+P6QP9SMSJz36fmHJeIi5qSCVthsGVEuVmSLuSJiTQO+/IKrcVq763jK/vyVuB0TaStFJ4tEu194Ef/TJ4+AR6D8EShFP1H+qFRgDulyG0Wc0rJVyVWpDGwhGUNPlSG2wsqNmliBdfPCiD1yY627htWY2alXxG6/YjRCAEslscjOT6G3wawpFlJ0g4hFhDN4Qr74wG2RhqTE0vjOlYCPARJpyrGzImOSsg1zaq7LS7KPsuDra79cV1DfY+Dwec+nHm+dYoW9qNyLwCtoy/jRY0XkCakhj+qDIXxKD2+S3dxMkbC5cu+CFAz7sFyrlCGtzx1I2Pl2ubSgoZQgMWFQMAaLqa1O9kSzCT6THQtf/vJFYMgQW74Z9TkbBQH1NvPkguAmxfLDQH8oKYhJojNVs/g5Oodjo7m54JyZGnR+6dY6W63VdFo8eIk8QCoYpP7Ly3EZ+ScdwRgld2V5mMGdgRP100WRo3YNwBhi5yKXDGl1Gnw/dUPUZitA9lRFN1B4SWN1qsL/WY1Gv9u0anW0sRfceUYcllEBCfUs+S1VRyH+Y23Ctlm69xoaXgES7SAoJyTs+AWpIdW+L2g7IRLaIEIzWw5t58gebLp8dzUqU5Cwoe9YkDXaD8HkWdCB7VsxE4QZYRhEcaVUp80AOEkTdYok86Rc9KBeZgLEavNikPpJCrkv9gQQmDx6pgmAVAmXMjAslOrw1+6qt18/3yV1mNQ6WeP9/Clh+4KkXHhJp3sei0E0KiLUaa/KRUZI21m3c+qjtDq3/+vVuK2Rl/FYJXkyVfmDAfiEBt7N8sZ6Up11swjWxiUKfD0D258rpVwQrxsWhO0370zbD3aG7M2jWmEogyrIWEoD72EtaGDsG4lncaxRxIIBvdwTGNVLmjpDJOSUtmWfXtTE4/qF7cMLmESE8u4sl/aMfLJXTsB6VHedck8B8STFxKJapX6EzEBshiNembOv/FvLakoVAHJU7HReBXv/rLA9tK7W6kUkx5v3Yue3EM+DEEPEfqJFIM9rVTjEeJ3e6w8Lk/mtci+jkW8y4lIIrP0984OAJ2P5wbEs7sJsfa6cZN63PGrf3Rq3lFSIDDik05od7jiWtFuWRBSzcmyjKvYme+Ui45wGqGZuNOSyhI4fPS3J2IAKqZI6NzrqLTKk/82ne9yMmRC5dOCdL/XZ79xdb/evi7gIA5Rp0ExaDHWljL/+7Qdi1peO2En5dPuL5/psk+4Vk1O3bAIM7tkJ+Fhld5vqoK2lQGKe7AdOcJuyN4iQ3KH8rn8rbv3CDGlD0KYmePtRL3dNTqLGkx1SU2rFYkiVhE+ziSTuySQDdXGnvLJe6ImIgKku1MbxDTZVRBl7SQzxkWKi7htvu2agv2dp2F7ebXaoN6Oenkiex3Nto/L9gOrrVz5YbwsGpODjub5azt11Uu/lj3vdgiZxMGcisHmv2Te2JuxrH6u36xfIXcoY+8FqwcSXo7wR8GSsvOtnXLlj5dTxC/32j+8lnOFu9qCJuuV/vpOwpVI53ivfYHiTH5oC0pE9+DCz79SncejJ2b/dqJm9o7y3IV17TkvN+lyvnZZRNqsFJRRxiaL8+cu9CrAeswc1i+6Se4Jz3Wnn1BN/W9PqMx7NGxtE3mRI9uPdSdul1XWE/+kT/lw/NKG6rNebNkeipY0rau2BNVFJW4aeVZ6/ISONIkEpsaCoCqkiFjXR/l6UlJeFD4vbBGKOdjtahmjXqO5YANCt9wAv+djCYWgP046Fk9bUoGgSkoDhkDeXHdhoz8g+zvXXzIvYKjmtPXZRD1UhcrWL7GvysQ1PdZMHScNaRCorpY3lo+zZ98AB72MKXs/K8ojqmf4LbKiDLk0o/kiTpz/4UMjWS6LPfp88AuWAQEnJGEFdg8CuoQFPpCn1kGlNXaPRzGiVlj4tqV40Ioc5wTnlAFw55gEj51f2JGyfCEaLep5sKQKE47QMkXGkeZckZ9lkDBLH4MRAxeDXoAsbBgalBVoxRjgXvKsHI0rQseFbab7sUupQhZQjIMPkiUF5y+GE7dTsmXJlj++U44JUlj/YFrf1sgF7XsT2xT1JO6tOfJ48qiMxWzszbTGRMcbyV6UCOafOn3sA0XCpV3j+ilTId2gFKvEWswnvcNeUw37yiTSMt5G2UewEiUKljr3PwpEAHpKxgIDx7ewC5eMNaSgG9ezLkMwai4WSUsH3WWtTneokP+0Yidp0uX25UYTsuQPqz4roV453/qDec+pssqZ2+VLconi6+FgMBrig6UwRPju0IGWbTC8gYz55BMoFgaCtFj0/kLC0GMLFixe16idqzc3NjpidO39OMdxSNmvWLJenri7ZPx0/YbPnzLbGxkZPyEaoKVY2Hj6bcn6Ncp1Wo5HttKQMDE4QLJIb6NR5PSGp2UvqoLp0zt0aRO6X9GbRjLAtnxWxX1gZsadFStIiMXRq6s+kotO1ImEPXVvr4hdyr0pIDMR9Ip2HFU9xr8qzTCwqu0umfBDXHVLP/tbjPfYdza7nqMDiUrZFB/9CkrDfu7nG/vWdSFE06KnDDyFqGyFBKGZqFetGBdJmReZoERBGuFXRD4FXneyfwlKv1nQ7bV5R80DdiPe6RRZpMjMG2h/UMU5XO0SUu/VNnMha3Qw1cbNUr/gHqxVz6dMxwhXRpvnkM928LGrrFKXiJTU0mSk5NfjILWXiT+f+U8WcsydbE79r5dyByUO7VhslVae1OZoL72JE7/9F2cJe6swqp3g+p1WMQEnIWHd3t7355pu2detWO3nypH3mM5+xtWvXypaj35544gn58Qnbz/z0z1h7R7s9//zzduTIEfvFX/xFN3Ot4rqYUNEYgLBVmaol9xIiWEyf7BWT+ulsZfbLX9KvfbvT+Ua6bm5aKyVr7A+f63arI7kG71fbDqac9/Mv3xuzGxU+6VdlHzVVJOIbkqoRJonBcbUWC/ybW+rsnrVRt9psQpkv8sVhAYPqTUXPOQBDAM4rgsHbvUlbOCA24wtCtkqfb71bYxskpvnAyhpbrliTbxxJWY86+FxJpzv3AvcvlFNQLaJAclFJicFtvsQJvyBy/pUX+0ya2kHktdBloYNq1eddSTNukt+7XMm1bf1BwosdWIfstJiYsJ/8Y4zf5giYFgHohs4ObOBYrvvlYx/PpW389r319qfhHnviUMqakTyLAzj7xIGH5G41V5cDzQvcqucPLY3IH97kNNynH2yWKUFU9mAyMzRtDkrUfVx/GiWdzvnyDzrb//AIFA+BkpAx1I1IvNavX+9K2tur3lMJ9WRDQ4O1t7dbZ1envfrqq3bq1Cl74IEHJIWo9WTMoTT4D5076skLkm7tPZWWk8m0aRwyCWKuSMwKz2vGuFnkgVVqrxzVQNuQsB1nM7NIOi9SQsMYNlX/Xa4rflcr6U5rFjlLbsR/aknY+WAicPSNWlW4QlKzFg1ylZQYJBmQr1UZCOSckvuCbJWO4LxkM9Qpo+4BLuaKyDYxBpOaeW8VYb1vjdl9q6P2stx7sNChVxLH7PNr9SOkQeEDMqj+7M2xvK8GLAbuDG6o9949BzIlSAPNCyypuyCRL/gvtpDizBk7MH2nBkgxBvisBGU1IbZTEQ3AjoRl3SO4V6G+ZYZmS9tC9uUH6u2TcgL7nLzxv31EzmP1PkHKQ2ov5NfZruUhE+BzPlmjkFuyk1KdsVAH+7VJlQRCizo/4plulqQ/jeRaAFDtai6muaQtl2nFNago2VHE9qCn+TQOBGqypQnjuK5STy0JGaurq7O77rrLkJAdOnTIqSUDAJ36UgzjjTfesBdeeMEeeeQRW7pkqYXGIHcPrkX9WS4Vicq1UPnKSAKIO5mypxQzcbMIAR6/p6uDoZ/JlRjENAZYjQauLn3elRgNaQcpuIZGAcHbqVA0P9giQ9jdImwiebJjtxrNuH9Ns8oZqzXIyeAqPYqKzt14nH9S6QxmAW7jvHxMpy+Qq4T3ySbsX2QPlj1eMZavFYBdYqZ7tRhCY/mgBCUJC8TOHqGodrpO2vRfviVqf/4ThZoS9opr7aQTMyT+WCo/bRtFYO/TQoDF08CqcISGdsZkBuxq0kMyPagE4/tBG9umVbg/Fk64tihAdY+aoQs6Y7lWsMqlsVTsCr+t8vXpu6M3bV1qpxAy8kXfDfFqcYG6VU+qWFTCmT494zSW9p+daGOunRWoz0BavVjtafG0iN20KKRJTsreVjQDiOFhEdxvvpW0FmVoSLayszjmbSS6rSrPX7zRZ7PknPZjG6IuMP2YbzCGE9FepPtp+2FnZlJO/SzvAAaBsUjaPrI2bO8dC9kmYR0sPnLmAaqPf39n1JbqfUzpfSzGeJ8ZAxQTOK34rgVqZ2OoupynuH5DONA3Ya9dLvVJO3Mf1Wch+82coIyyM+hrRzlt3IdLQsYwlMUgn++hiX179uyxZ5991j73uc/Z4sVLHBHLdW72tRxHwoZUDTVnOSQ8eqH2o/ISiUTO8k4kn+e7a+yf3qmx/7pZdkjqh5CGQSzG0rEH52QTkey8QEJQ1X3lpV6TAMnUt9sUTtDA95ev91l7d6994ba0tTbqTsHNsm8wwW1ewHg8nnfMXBE0kL/8Xo3Ui7KF0o6h2YfU4DsMSyLoUzZGdN494FEXt872XkcCbpkrW7KPys7sWI2dUZ3MbOq3FW0y4m5OSgoXUqfSZx0is4VOLHSh/Ye0ypMy5CP1StLyxoGQ7eytsaUqd7HfLLBf3ZLW4Nll5y9GtJozKsmvPhrYSBGJKus0s6gNJfRJiuRoItYnMi2iNpYUEH5sV/OF2XDPZe3eahGztdP1GklM/V9+Ii/+/QI1jwkpL0bqf6z3trWuy+5cosEsj/fnVm5w1DN6eyUiLqMUDNr0G3Mksf8/PmhasFRjz50Iy8ZVTnDVjj6+Mm0rZnRKIq6FOpKKFyPxPibliDAzRpUXZpS/kH3tRPClP0t1aOISEvHPU382kfxwLXVJCtqa+5GnPyUhY+R9OHLF/rNnz9rnP/95e/TRR2369Ol20403jYmQxeSOoKWlxak084TPhG9DI0IlS96iEU3b85SQBGw5kbC/3tbrSFJ8oE/PZ/dCs9MKeZdQcZL4SWf/+GFJllbV28fm5q9M7gH6g3Snp6fHkKDmE7Pg/psUwPn77yj4tHQWmngNSqiP9p+T9EV7sRHLvHqZUxjUMAS/VlEOPnxtvU2Zcvn1aRFTnTtTak/dEJu0qLzkRoox7R7IPe0MQkH7p/PKVyIyQbpGPsb6JSqk8ouc1B1Yi8RLeoMkVahxkgzwJawXhvi4DAlp8iVzfJe9mqEVOkp+++J9MuLvs5Zm5FPFSby75+RkdudFyLykwON8LNLbxZodoUY/J3VkdhvlVryrYVXX6e4Ga55ae8XxcT5u0Om0Mya9NRqU6up074HBadBJJfhBvvr64hokU1ZfX+/y1SyMHpneb58QTpqrugUczZplRuUPcChmhcwyeesRcQ0phES9xoFySuQNDVWh+tqJlJX+rL6hvqzGc8oDZh3tHRMpWs5rL48mOQ8XZ2e2ywoY58aNG+1973uf6yQ3b97sVlYuXLhwWAJHLpnhQuT4oNIcjuwVp0SXn4LKyOVJMvJ85YvOO6nOdtuphCQAIg0iCIXqXIbel2ejYunW8/fJ1iwk/xZ5H6OlGgswC+M/I4+J/L9xKG57LwozfgxJlDcxIErILjukoEFZQf3z8TUpm0kkA5GAgG+RSy0KzkrZV2ftLtAm7YyBESKWT8xidf0uDNA8FSe/NTE6ELQrVI1hNbioVnTG9I0xPq5XAn9g1Eum/WX+jn7XwWeE5H2/2H2GhHd6Jn0W5F35GUfWIRX4xGvWgpqUboT9IlLsoQnCl9T9IxDVHMeHnj/W36F+8GJF8PDajbHeK5/nufavPIEpmhHGFNqr+KJN5UHCI584jCfvmXeTPJXX2EQZMrhl3oF89hvjwSfXuW48By/qMc9jQK7njWcfmBUiFXfEGFICOsFIeLC6sra21s1Smd3cfvvt1tTUZM8995xTWVFBoyXuWfXJdbT9dkZidtntlyTRcMqCyY+z9DQhAkDj5mM80FHeaZLEXCOD7COSnL0h/1GH5YiU8Dnck5bJAIjbEM0nqiZFRXyWy4V5o0Y2SHixE4tRZjaxojNkcxVbtU2rhZtUD7ipUF89Hh5T7KwP/zzlO1an8kj/33AVL9FRYXLj/LBNVRQHDPRzVUu/6q1Nvs4mQ3eYDXSuMQJ8JhsO2ZhU6jY2Y5MplZSMhTSLj9VLfTfg4JWZPeLSxib5E9M2KkoI2bFjx+zAgQOOkE2myhmurHQsDJKLZFEtQU3Ozth1QAM3kBArr57TeUfaJG1fLg/j49axDFeoIu0Hu1YNUr3MusbxTCQYhxSW53+8m7I/2mr2ucd67d98r0crWGUPKEkeK+LwZ3VWNg547YeQjWHuMI4cFP9U8k+oK1bWdqqM2ix6kkZJDl/V3gfIYDUMqpBIVvw9qEgYzfqGu4+lXJBhCQhtiWwHPnp9rX1kTcR6dDN1BU4KpC93H7kStGtF1tZqxWClt8GiNzj/QI9AiRC4inlZfnKKBAv9OW4rWJGHOLJf4VZYZYkBZqDSW7BggX3xi1/M2FwNkLb85KCy78KMmKDVjZIWdBHSR4OWxivXsTNm0nGn9Gem2Nqv31pn/8/muO3SSq7xEJBcCDFwnNMD7tJKxGsr0YO18r5BTm0XNsQVVzJXCYffxyAq22vHP8HxoOJy/vaT3bZMPteOyYnsRZGww/rM1wD7gBzlPnydArPLtxhSnEpMEIROiaYOqN2UItGOade7JMnEdo24kWWmsZgQLHcqGkM0XG9/8Hyf2qKijiCt5QUbJqXFuur0Pv+3e2K2TBOh2Xr3aVpffaXPQrIdg3gldc7dImK/dV+9LZrEsSmHgdDv9giULQIlI2Mggi64Xp1RoFrkGz9jfIKE4TvSMlJwXnBsMn9DDJaqQ/7y7TH7z8/2WIKVQfqP0blcstm9Cnm0bk7YVos0zZV901+9EXd+mXLZl+TCkYE416wakteqh9wwP2LTpTLKKZbLdcMy2Ue5ZsvlxMyGkB26kMppbzNcVh2R1fUuCWvn9kH+ozZr+TwtVHadzlC4qx23GHJ1oc+v3VPv1EWQ50pMkAMkYngCvPxWFrckR0Q09osQXjM/VFVkbKra4B16T/9E6sod8on1/26N20E5ZR7K3WlyUhTYfcsj9rlba+2aOREXPQAfah/bUOsCgoNPQmRuZnNGIrZYRAw/Zz55BDwClYFASckYEI2FYI3lnMqAO7+5jIqRNUtdKB+GdkadNaoySFqTZscPyjP+LfJYHtP2kTPyPyYJh8ybtOZs9IQcpEktY5qcRh6Te4tsUgaZuVGexW+TZ34Gg4CbjH7X8jmjVRKWWZIqdIpEYdx7tTxJHMWxL8GUEZfpyw2kIjB9Isd/9lbC3r8kanfLMSx2ThWXVECwwYheAj9JrotfAh4pl1D21pGkrRIJiVVki8uNG+/qFElRb9a7tH5O1N493W/HLvRl3uMhl+Df74Oronbjwqh7xzlM3TAhume1ttTGSMEkim+fPAIegcpBgPfZpwpEAIL0xqGk/fpTPXZctkwYjmuXixm5T4GCf/fZXtt6VIY+SkEIGPdjlD904rqdrZoZsesXRAbZCaFBkZDCFsoBJ441KzGBEeTCSar4McHELaiL7FuxzYu1RFi+pMDt7UXyZzTBolx5ufJPYO0eVfo0mRCUYnx3HZQAPdGpyUaVGvRCygjP9WHZgE3TQgW9vs7MACk36YR+b1SIo3UyC8hVB7yzwYfz2fbJI+ARqCwEPBmnUfTaAAA1lUlEQVSrrPpyuWXw75Gk6yX5y+oiEGVWokJx0npWNiib5TWdAQyJxvVSzWWUvVknD9mkE09LD7leNlVrFC7o+wqSHQwInMq9ucczuxK2RV7/UdNlS804p9wT4xThfcAHnAr5AiB2fkmE+JBWXY5kC1TOmFG/2G0VEqeRyo+UVu7FbLHCcUXRkVdp4t27YVHE/uSj9fawbMkuSGJ2WJLnkCS4/0ExYP+z4sQumJpfNxVVCqUvlkegIhEouZqyIlErg0xDhM7IcWSnRivswLIHS7aJDPLOyZQ9q+DeT+qzT6pKVmINR56Qeq2T+vHD66J2g0L4fHtT3KJ4lxzM9dzAfEy+jbZIxXfv6n63qrMM4BhzFij/KcUGPD2Mf6Yx32gMJ0JiTilE0nO7kyK3EZsSeNAdw7WlOgV8qHLyLqfhjvSXUiDlMFTjXDFTxurVy8VcdRPn9dp5Uft3D4TsI8d7rVcehme1xmyl3stpUkeyotQnj4BHoDoR8GSsQuuVmXRY+jYqMJuIBcVhUN0jtwv/+ZkeOym7r6h+y3wsZ2I3qpI2udb/Gc3CUePFU3ItqUGQgXloQuvWKQdnGAxXmtUY5TmkmIB7FWiTsS1X+YaW92p/c+8eEZo3FEj8yDVpa4zJIauwHaYarvYxV32dK7v+8A3h4tsRMJFwJK/k/bQIPyrwUiXypOhGSpmoCKXKRzGeyzuN0f0yka85cr8iZ/LW0Cg/jPwrl0ZTDCD8MzwCkxCBXOP4JIShsopMx1wvq/G1bXh0zpCsXH31aZEw1Jj1Kt5wRIySuwFPf45qyVyPls6hDpoud/MMgrkGAUyFWQlWq/O4tlISBJXYfZv2Kjg4xm9FSNI22Q6R4q+90GsXJJFTnOCSpKGlBQvIdJdI13kR05MXU3bgbMr2SIJKAOszajt9aguN8vTeIoleVyms94UUiyPmC7NvajUwbjYmS7r0Pquicr2DkwUHX06PwGRBwEvGKrSmkbDcLaeRP3U4Zf+4K2kt0KIhYxU/UfOMluj45RDc5ssgrE8D3oGulK2apRWHYhIXNChnp1qdN037b1ksh70aKStpoICAEI/yIBbSmf/ZRSvYtsIPOunYf32hz/7tB2LWCkMrUqL2KDftAKlXnzZ6JPnqVT3HlS/IadBu8OHVpDol5FC92DukvF1ErUmE7KxOc4Hii5Tv7MfEleedWk2JtI6yVFKbyy6H3/YIeAQ8AsMh4MnYcMiU+X7UinPlUPRX7lIEg1CvPSdjfQarq02oqTqlmfzDH/Vau8gKgzbG+2iossWnuDh4aGHYOZSsOBselQcSK1dMzjludrmuFrexXAe2eOXftDthnbfV2RTZBlF/hUgpPQz1FhI4JF/E2YTMxOXXhG9sCWkl+K2i/hpkcKg43FYnTJB08lFov4x9lo4T7gkf8VxTqsTiB5y+dkmaOVnIGOX0ySPgEZg8CHgyVsF1zSA6TSGRkFQxmMom/aoS/T6qx1cOJ43FmYFzT8hKtnoTIQoN5i2Fx3lb587RMnx8dlVKIqeQoGI7YAVffMBhf4WkcXaL8qH6utrkxmn94RuiR3JSr3TYUlI1x8XEeiFikoTp69KiDRZw1KlCXbBtSBikS+SLOs4lbYIQIB2bKvslFomAX6kS+cPfIG2wWCS62GVFSgmRJr4i7QUjgFJiXuzy++d5BCYzAp6MVWjtMwYjKXjm7bj9qexpZuj3BMZ3N2jjEJaBebjBjv0M0GfkWf5Pn+/VNTX2yM21OQdynVp2icHuouy2tiH5UzmKqC10xAkp1UWpgFMpVsZd3TAL+aIccakaUTOy4g5De4hXPNVk/ZJuhkP9jnDiX64Z8iWmDQmrk6iTx7onDzx+pFxAgJCcrVekhxW6No1kjYZXxET+WEU4Q8S/WRJFJJvVmKjXcyLrJxRYsqsvrYDoaZuuAOkV83JVY6X4MnkEioiAJ2NFBDuvj1LnfVik6O92SEKlAcrZ/uThAWMZ6xyp0ZLK722P24fWRWTgrVWdY7kwD/mbyC1Qd52WR9uk1LkTIa5XnQfV2b9/ptf+9CF5XZdn/uFUlfAdSC/EB0mJUzPqR++AqpHVjZfqW+dAsCIiYFHFWGhqIDJCWL8zxEshXy+pHId73kjlgZCxum+BwmodkM801JzFxA4sakQkP3djrfNWP1JeK/EY9cxCiad2JOyvXo/b4fa0xbQzoQjpn10Vts/enLYlhNjwySPgEahqBDwZq+DqbdcMek9H2kl4GLT4FCvhmX2fnt0hvWYzyzUrIDHwoSps1IbCRxY9Qa5OiUD/RKs5r5Vj3ZikTkhEqDdn56V8OVsvkUbsveJO2pXZFziNvWTrJWmXs/HSG+zsvETGujt6RVhqne83SFQ+EveZg+PRO+vsj39sdkwxEFnVWAzuLRgsIiK2QTFWP7S+tmLDb41UD50S0b62P2lf+XGPXZDEtlt1jskAuP/1W1I3p+P2GwoMjoQSYu2TR8AjUJ0IeDJWwfWKDRAxJLHbZ0AvZmKgRDqDgTcBsosqLplAQS8NaHkiK+PJCmTsvAbbPXId0SE/ben+kJN6gaGTfglHJE+cB/liQCa/2AY2aoSGvNVJDIbaDlsvp3IcKEdarK5PIYuy940nbyOdizPS2yTJ+13l4bee7LVdciZc6AZHOWIq9zQRwc/fWmdtCnafL4I5UlmLeYx39pwmM9+QRCwpSTOrbrNV53GZIfzduwn75DVRW6m4nKx49skj4BGoTgQ8Gavgel2g1ZSfUJDh/3a2T64tJEUoYllQnMQ0Il/oZaVdZahRUNMRUuaiNhKSQknoUvSEEBE16cHzwi+aWaVIvrCFwrVEvWyzakV63OpGZbBWn0AF7LI7kOdiZx3iv35u1K6ZGbfd8psGGYNMFCI5Eioslik26pdurrPbFPC+2ogYuFGHhOY6IN9uuRzrwr1aRbJ3npCqcma/s/njOp88Ah6B6kOgmON39aFXwhIxOE3VSsYPXROx777dZwlJV4qZIDL9cbN/fi9pq+Zq1o4fjDJPqPiCAOEI84qdGFzlUN3mihBObawR8cKwPmNcf8nGSySEunX0Vt9slwOy5IMFAXetjtpjB1LWLdumQnQelLVeN37/8qj90h0xWzxdMVUL8aBiV/4IzwNbKpmvbIIbbEPW3Tkj3MMfyiDAilufqgOBGhr+JEpV083xEqak4+nr63NLw8vlpUxL35TSOvW4HD2xnc984ResUzPreul0klpdh01UsRJkgWe+eTghuzGpz/Ti5OvVcZipLsGMZf75Sk76oDqYEum3jnzddBz3gcCeFSO7aV7aZtbHnSQsM9DKHoj7qKj9UmNS4vGSRYeZDM/iibiFtFqzUGn1zLT9bzfU2He29msxhJwvoE7NZD1vj2Q87ZTx3LSYAtXrrnGR/kKlhGYxaT2LfiOf7+ZY81tXk7aFU/vtvS6pp3VRUHNgCg49sgWc36KFE7IJUA7HetuCnefcbiQTUp+HSoZZrsKRL+qS77gaTCnqMle+2EeeUvI9k07XlBVm5O1yX1vAl4wHjTNlMJPEmGXiZZbALO1sc/KbsaohY8DCy0inCikrl5eRRpV0TqAgL0FXO/FK1G3tvZP99nvPSdWhuEX8LmZyhEEDcZc8tHd191gTRj55TMlkUgO9sFPHn6/Ee30Rj/Ia1KIlmkHLLZz19sVFukSgGX3zlGhndBK9vb0FbftT1GN8bLXZQtlwffUF2TyJRERUT9JWj9gGIZdjbf24ADmk0Ewd3d3WmOd2NRRuiBjvJ7iVImkhsv30uhr7tRM11qQ6pI/nXUYt3K7P3YtqbMm0uIljWzp/r8JVF9X1Z3o36V/LqZ+lQK7PAEN9yqX/D4AmbyTe0XJLwYSE+iynBFZxjef5HAPyUT7aF598p6ohY4ATi8WsubnZ6uoU16dMEp19R2eH1dfXWzSK7cvESQvtAI/qW0702sFTfaZV8EVPlAIbp9aWiLW21tuUxrEOtaNnFcy6urtcPdbW4v0sP6ldjOExGUuf7YpLDagXKj+3HfNdJEhUuCmzvRcVNSFWp7iPE28LwcPB7OLFi9bU1KQViIV9rVtkoDh9mtmitrQ9KjxflHT03MW0NSszLD4Yiitd/HntnKpvSAYnDD1Hey8l+Fed3HO0NDfYFPkXK2Ri8gYRa1Gh8vFujjevLQLi/lazr4YS9qj8BZ4QCWVMjNX32yfWhO2X39dgbQXGYDx5pp/t1uQrJJEu/W0pMMuVX/JFPUIoGhsbyyZf5JV3s0d5KzfMgrx193Qb/Ww++9pcdTSefdQn/VlDQ0NZ5SvAjLzlOxW21853bsdxv3LpJNB7k5fszziKMeyp3RIf7DqTtnZ13FPzN6YP+7yhBxhgWd33wKqINcgQqxB4B5gNffZIvyGqfAJSwEQ0KckNKsrTnSKwB5POYepIZGCk+0/0GGq3d+Sv60RHrS2rF24TveHA9YF9RUiGcYWoi+xsMp/A3m3l7LD9xgfq7OdUlhf3xO1rImb9ctWAm44BzqW8qC40N/rl5f22+1zEXlKbbVXlDCcVpF2xUvTuJRG5sih8WYJyXU1bC66dyHeA5T1rtDhCvtzOEExeIERDcZsrpjZdtoWFrs+rzX+pMMuVXwbv7FROmAXvJvkrJ8xcfrCTGEjlhFmQJ77LLV/Z9Zmdz4luVx0ZK7eKm2gFDXc9XQ+dNkJvPoWVH1yZC54/Q2Fy7loWdX6urjxjAntyFMaRLG6pB1NefkO06ISdKwh+6+OIl/ajGcb1RlLHOY/PWakoL8qlxCWHqRPI4tVeygt3TiGRTsoAfpk821dqgkQQVmmeCNNMScqWzoi5eKX/sjth2xQuKyxSxoKJqPRwn1hRYx9Y2meSddqOY2n74e6kvXUM+06RMtXL0KSgAs6dh6pzUiSwnKbFOK31YVtVozahgvf24mBXiyQqt4mUpO6GkrKSZMI/NC8IYKYymVLVkbHJUnmEt5nVEjJNnItOxMDYmfLwbAaLHORpLPVw6VW7tOHGIZEqovIF5CpDvHCCqrHpUvBrTDAgWo5waT/HIGjO5oaHkzd9MJon8DXEYaoy2iR1arpTNoWcP5ZMFuCcsEZf8uUywHeFJ/yeEaP04Q219sFVUTsiP2rHLqScP7TFM8I2o1ELC3rjtkwGZ+vnh+y25Sn7tqRo39si/1o4yctKNCc64e9vT9jHN9SJoCAZyjqhijcvlXOSlLeKq9IXzSMwbgQ8GRs3ZKW/gE67sa7G7lwasSd3ajWjpCzYIxUzyb+onZKd0N9tjduv3hmz2gFvlWQj11gSZI9jjjTpO6VBF4lVINlyZEv7iLvY2xuzdJ+IkzxhotJiksTH3Vt/+MZNhXNXoR+QrajYF5IE4j5imwRJCGmbAZ4LTksFFBNuEMmMOS0HiptUXEfEyFu1JeqkSXZwK6S+XI7UT3UAIU6LMQdrtcCeScTDcmT6jTe16k3XZHdCtBMJhWyrCN2B00mb3VQr+7FqQ8qXxyPgEfAIDEYgux8cfMT/KmsEIGQLp4XsRg16z4gUXaVwakJlJFzPzhNafgypkjSLBGEKyJYjWtoByUJ9CGF02yJXEDFHwnQMgsIfBmIS9wjpH4QPqZYi/IhAQbQIgM23PgMDPYO9++gPOXDSBfaxHfzWN/fm2ikijXxrrab2FD9RViepk182l9fiZ6GgT3R1AdHMIpsJKmIgUeaI/nBYvkxtVnAg65uauag/rH7NLLPIukHWeX7TI+AR8AhUCwKejFVoTUJ4uuRn7ICkYjLbyWl7U+iiQbDOK/D2eYV0UZRFl4cU6kQRM0hXSpmEWJFXiFmQ3NCqPPOdGZwzBCWskRzJVkgsLBXvs3qJu+rkaRRpCmGBOJfBPrguuN9Yvt01OnG6jOa5X6mSzKSstUluDPK4krJUZbna56Lanip18c3C4fgFtR21DcFyKSHVXKPFIW2KMIExv08eAY+AR6DaEfBkrIJreI/C0uySOqc2eyQrUnl4JPZZZxV4+6DCufS0hB1J4vE1IlMByWLglZcCC2v1HRItiCPfjLEQLPfNcV0A0SKlpZfslHoyFu3XsubMvon+Jb/kyUFVovEdPtqjT1gGYw2SjEFSydNkS0g1W0XGHloXtb9lBabsxuKSlpIgYvUiYusWh222lglXozo3U1L/1yPgEfAIXEbAk7HLWFTUFiqc4x2yxZHuT066S5Z4NKq/WS0iWpAsyJYIBqpAZ9yv4wHJCjI5iH8M/MjeV4jicH+I4HoZlD+v73byFWSoiN9wDsIKQUQncyL4+ecVd/KifK0+sSNunZ0ZhSREbOX8iP3WPTEZ709ykCZzA/Fl9whMMgQ8GStyhQdEI5t8BFlAUkLiC/UeiX1suo9EK+zH3qq9p9/ePS0HkezTzYo9bJF/bJ/mKXbg/GlhmyZJB1Ie8uHKpj/uW7/LJRF0+/alYfvbN8N2vkdsVtiBa7ES2EwXKAtkwB6rUpuxsWJJW6HNfPH2OrtvRcT24+xU9bGwNWxLZ6pN6RsJmk8eAY+AR2AyIODJ2ARr2Q3m+hMM6hpPLv/QJr7AkmJLqGEgTRy8gmhxvT6ZVYUZg3fOSesP9ldsZ44ThkH79UE92C57LW2WLGHjtaQt5NSQbmVjyXIytgdjjzZ/etgeXBG235WKd7bQG9CODXsD6tPVhb7BWrdwkr6r4QmoZOtlK7ZmVthqRcYme6LNzJ0astnyMH/rEtzhZgi+J2GTvWX48nsEJh8Ck4qMXUFcrtiRaQDZux250u7swdeRI+1zxEg/3GCtE/m+RKi07VYTakdfvDYTvFmWypnjuhZypnvw4T58SG47szkgYZIaUuM2Q3e2nRV2WLh1KOWQDpE5Ka/2ZL2U+RiAa9Qv8shAP0WEqFEtv4ZYfwO4Z1+M1IbzIF6oM3tUupMUVpXTqusUCcgwZaO+SdQPsRmlYRtxIQXuHd6/MGJr58kwPbtBubtM3j/gh9qSNBlt6DIl9389Ah6ByYxAFZExRsaM5IgKzSY36YH97gzYz8DxgAgxqHL+ZSI1IIHSCbhjgFQFx/l25GuATOmnO8Y3AzvfGlvcH/fNtjwphSQWc6RKgzDjcEjIM6ATr4wBKDBkx96K85xBO+fqE2xznv67FNMFdZKuwBFKlXDO2SN1qSt0qTJxFc8lzE4jTGuYwMsYjffLH1mT1In/+4aoLZGdmXyWyt9Zv7XE+hX6p8f+5x6tZhURTatGmnXe/ZIQ7pHn+T1Stw0N9UOdQb6myDHql+STbeHUy4sdriL7VXmJJ2FVWa2+UB4Bj8AYEagKMhYOR2x62xyLNM1SyBuNeiIIlwlYhlhBtEiBNCMga+xjVaD7znxd8TdbAsWgAVmKDtj8BL9xxxAQqwyZ4jw8yaetr7vX6hQYOqoAzhyDUcEFCN3EvUluN3+U2BXYgbld+jNwyB3nj0JTyjFqv6HcGbjFpWPF2HBw6k9CK+ECbIvx3Ik+g/q6fkHYrm8L2+ZDyUEOR7m3+JU9KC/yn7i21qY3h2xRa+iS7VKmzSRd6Jo7V9fZhR5qUWGhdF5TzOygbPj+8Nk+239eFFkmaQEuELGEyN2/vqnO+YYLpEDuYv/HI+AR8Ah4BCY9AlVBxiA1Tc0tioPXYhf7kEANMK+B6nVEZgjpgRQxMCN1IhxcZjvzHfi0QlrFfkgWw667hm3263c2kWIH+/jDo4LtfrGqDkWprpf/iSjMiRsGx91W7j9jIVgDt8p9gwLvpRQOM1pQpkgFfmL+bj9fkqnP3lBrx7Qa9aJ8pCURf6oMEGykVp+7OWbXzc8YkGdjDBkjDNP0BtmezZCtnKvQgfLr2DzZPn1Z7eMH2+L26knJzMSYaTfpupB9amXEPq1nNkiXmX3P/JXK32kyIEDPVmGv21VXC+8bE5qgH77qG/kLLyHg/D2qATGW+VReCJQlGSPYa5qlVUpESA+N4gegX6KtixfO2dTp52zhrGny4xR2jY0GR5tj8ONz6beYjtuno8E+9yxOHkh0etkp61D27kvbwflDzwv2BycOPR7sH88392yQjrNRai80bXX6jIW8jecZYzk3Ip3qgtkhF4aIPOWjbGN57kTPaZQUixiK04Xft9/ss6Nn+9VmzJbOidgXbqy1RTLyH+rfivLhxJaFGN0CPS21ZUI7XdglXUs7Qm1898qo3bI4aqc7UorPiHxWJE1G6nO0OpBzJxsRQ4LLwtVOebsleDiLKPhg8+jT2BBgACVEFKuoISh0h6wMxq6RdldtycWbVXn7NEnq6ks7v3N1enl4J4e+l9VW9kKUBzxZSJbBU74b1V/FhCffVdh8CgFhUe6p6ii/BBE7c/aM7JF6rEUSr6mtCvE8AiFLqaVdPH/Okt3nrbE2nYllp1Evu6ExKAY7gv3Bdy4ERjqWj/Nz3WM8+1pkhL5UqrbacMIUJch10uO5fqLnpgRQvaKU//KNMWtEZTvRGxbxevKKB/ybtYJv/YKIG+R4PLEtkVzlWs3H3OBcV789ti1lm3bLsF8RAtqmJOS4tNY2Lg7bdFx7cBP9IU7mXJGvOfIg73bpC1vAyUbEGAS2HU3Z0+8k7K2DaiORbls3N2IPrq21DQtQ/zrEHEb+T24ECDl2sj1l31EM2LcPybmyzAJmS3X+6evBMOICtOe+sjL3QjzPKKoI0uVndiQ0qUlbc4zg8hF7+LpaWz/Hs/jx1uxp4fnc7qT9oyaep7TdKJvZa/X+fW5jTBNPNzKO95b+/AIgUHZkrLOzy/bs2W2vvvqqzZ492zo6OuzGG2+01atXj0jIkI5hSc6AF3yy8aqmbp+yMDO+b0XUXtqbsB3HimvGD9Jzm2vsi7fGXEBonJhWWspIsjLSrEssfZhCII04rEgHX32ux94+mJSjUklu0ynrP5W2t4T9T0ua9hkNjjOaMvJJ7u0c3k7icQMJ4qb9CfvLF/vsXS1FTcRptSl750zaXjySst+4o9ZuWxp1Ae+HgX1S76bNEVrsyNm0/adnem2XYsAmJYpl/3vnUg7Tf3VbrT18bV3VhNaCvHfp3fra8732xO6E9cn2l8UwZ7pTduittL2p9+0rD8ZsgSY6tRlPKJO6jYxWeGhWu8wwvrUlbn+/pc8uCk8XeqxGeMo10p6zPfY7H6qz2TK7YDGZT6VFIDN6lDYPl56OevLcubP22GOP2Zo1a+y6666zpqYme+WVV9QxjY1wVBPpugRMjg0I51LZLX353pitUrBwPJezrxiJAWGWiMfq2WEnhax2AUef1JKb9ift2feSdlbSsYR+0xzTGhyPnk/bd9TZbZcECFx8Ei7CAQnOX2/qs63CpUuDAHjx6db28dNJe/S1uHVIbRksqPG4XUaAfpB3uVOxZ5/enrB/2pd0q5axV3Q4qv2hAv/7t5J2RN/VkHh34nqfth1O2NdV5k69ZxAxXimk0rSbA8eT9sS7Cam9M6Q0V7mxH/ZpAAGBt0fv2nM7E3aGCBe8g9qH3KJX794PtIDp6W3CWtvlmDBRmkyp7GQa586ds+7ubrvhhhusob7BLly4YNu2bdNAN3qDSUvGHY/jzal8EvlOqVdJqicdSxnGk3PC+6yeZfab94ftz3+StjeOpBXXEZwgZjTk0RqzOv2BpaS4aOCSdJb12XBMHZXbrotp23s6YatnaoTIc3KYadSJxxN5x+xqsnq2s8ZePxC30yIY01T2bFxkm+8WAjy/q89uW1y6gdFhJmldPBHP+LS7moLm6RqcHB8502/PSIpYK+KAgDB4e9nGTcgbh5N29FzcmmW7EilhPK+EmDXvZrn1G+TpiFblvrA3bQsH6iXAkJ+YJuw+l7SX98ZtidSWxUqZd5O+LJR3zNq7NekR8Zyj1iKBzqX3jHIzUBH67Yf7EvbwNTUmzeWgRL7AjEk7dVlOpCzADCIdJmxJkRJD5iv7U7bvYspJvvR4l8AT+BYJ5xf2x+3WRfKf2Jj/fjzztKv/S30miPtXZon6TA+Mm/nMWtmRMQhVVKvU6urqLhnvQ84YmCO4hshhOwY4dKpbt26148ePl92L2NfX58pUiBeRFy6h6c4derFahc2B3gbrCTXayehKi4ckf86RoGh9ujCWvGAzeg9oMEwocHW/HdLreSoqdidixssqO3fnyFRfV6TOnj7b9Pp7lt67V0+mg+Gu+UnUJx0q7SBXfefnKWO/y4VEg+05usKm1MwSLnRllxMzzYj+7Nx12P6pZ1vJ2h6Y9fb2WiwWK1keAlSS/WE73t0s1eR1GgSuVIBAWRPSSf3w2ZdtV9N52dOVjsQyeNN3xNTfCLigCCX/TolUH+iebkdOr9NqwuYhrY5JE65tErbl7YPWcmy7jrul2kXJN+9mSEvJI86aPn+YdaXq7O3jizWhnKP3bLAekrcurTbTearDnn16k5w2Qy0uMzLaP5PelCYktbW1JX8HsisiGJ8ymBVryNVEW/51tp+8xpLx2eqhB+NJ/nC9dOLMBfvJi+/YwaYOmVYUjyhm4zPcNv0ZY0AYm4/8NbPhHjfm/QHRv/vuu23GjBljvm60E4vVMkbLx6XjNNyhicJnfHjlrhGIGypNpGqFIDxD8zPe3w0NDQXvHKY0m82R49GeZNS60xH7v/dGLN51ZU4ZbzSptevaInb7HLPZ6tVDNRn/Zx0R2aikQvLVFhbBM9urkEH7LmgFnK653O1lVhHObwjb7KkRo2zMW6+stSufPZ49jY2N4zm9gOeq8KmIjKZr7XWJ+rVWYVDiZ1gAzZ4m+6cm5Vnhqy7LgQadWvAfxWhnoxdC4bvUc86si9n8k2FrVyBwPM0E7QN0wLBFavW2Vtk71dYPtK3gjNGfkO8z6HOCDjbf9776+9XbnFi9Le6N2qunM5hlv4MIwGfrHZwn+6mGerW7mugljK/+mWO7MvPOj+3c8ZwV1nu2clbUXumMaDV9RqIaXA/5xE52qYK7NtdHtRqwPjg06Ls863JQFovyg/fM+hMuXN1M9ecnNBbQjwcJPKX5tdva6mzujAZrupKrBaeW7LtQ7WwiBaKf4INgCN6Rz1R2ZIxCMltlJSWVwTaFHolkMRPauHGjwyUXmcsnYOV+L+ZDEKldTyfs8Z0phWLKDHL8hYjVqcZXakXbf7i71la0zbP6iBjZQHLXpsOy96mxbqmSvvtG3L6hT796fuahQdJkxTYsqrOfumu94gqudbtzcOjg9Ir/TmjpaHR3v712ri9j/5SB1JULdxVz5Jvsk3cssI0L51c9FmOrzBrniuFNSZye3i21EbZhutC1QX1j33jzkoh9+O6brNWNqVmAju0Bk+KsTvlMDL+Tstd+LHW93kEM3BlPQateAseVs6P26Q+stAVTlzs8Kv0dRL19zQX56TvXa50yg8BWE8kzKaZ+K6IVy5+9tU2rlx+0eknyK728mZIV5q+bdOvWay6EbOePZLx/MG09A+8hplj0W016Dz99a6viwr5Pq8j9OzjWmggmbkjt8pnKjow1Nzc7MfORI0ds4cKFdurUKZs1S+ohqeACEIYCwH4ImU8ZBFAvPnJr2M7I/cJ3ZLzZNtCDXxRON8no//ceqLdluMVwtZ/9EsoWQ9e2aIBk78c31NpuGaj/zZ6kzZKlNacf0+cTsyP2s/ImP29GxDlk1K6qTlKY282yB/vUBrNvvt4nmyf56lGJjwmkZTJe+Ve31NlNi6J+hVdWK4gIoF+6PSInzL327d2X2+AptcEPK1D6l95fb9O0CCTTBrMu9JuXEKhT1IYPrk1rBarZn8vQOjRgs3hY7e6j08L2v8g58WJJuHGKWg0JOcNilfl37qmxr2sV7j8evWwvdIccKv/CTbV21xpFMimhjWGl4byozewXbpHjcY0Ffy8bTtexq/3cLB+LP7exzm5ZXiv3KMhc6fF9Gg8Cw/GR8dwj+9waSZLKqhaQiL333ntuReWcOXOcMf+DDz5oy5cvLwv7oWzwynlb5iTyiyXXC1ox86b8EzHDXC0HrRuXSeXWnCFizJ5GSsxML8rp4latJGS1IKubVmkg5R6tmqUyOx/lFiPdvqKO4byUVUe7taJr096knZeF8ZwpNXbbCpzEKtalBpFJtvhnxPqjU5GZp53VEvqtaoP4yEI6dq2CpN+4NGIz1H5wiTJaGxzxIZPgIFJu2t2OY8JQix46ezQBkDnCxmVRR2Zx/lxN7yCjEU6Vz3am9K6l7LgkZJCFlXNlFqEYsE16z3ybGV/DR8vRrn58p1zKHNWikBZNIFfIX9tcLfwYzq/i+J7gz84HAmVHxjDgx3Dv8OHD7nvatGnOSK4cDJPzAXgx74Fao0/LxbsGVJX1MhqoV2c2nvAirnPU9b26DwNsne7RKPF2jnUUxSxaSZ4FFhDUbjEziCn2y03q2HAS6weI3FVCG6TtdA+0wQYZjMXUfnI51s19B78XBMCPdxlXINhOoeqtZgxpN6ye1II6GXCrzGo33vv+1b8LtBtch0DumTR6PK8ey0JdWXZkLChotsAu3+LA4Bn+2yPgEfAIeAQ8Ah4Bj0CpESg7m7EAEE/AAiT8t0fAI+AR8Ah4BDwC1YxA2ZKx8YIeSNI8iRsvcv788SDg29l40Mqc6zEbP2bBFWDn+7QAjZG/g3bGWR6zkbHyR68Ogew2FtwhX22t4skYDghxCnvy5EnnCmPq1KnGikyfRkYAR5fY5uGQFru8cnCuOnKOS3sUnLoUN/X0mdPO1Upra6tNmTKltJkq86fjhPP8hfPO/x8ua4g1i+2nb2ujVxydPtFHaHesJs9Xhz/6kyvzDLA6f/68c+CLOyTGARxy5tv9QGWiM3yuGQOI/8x4wPvp383hsaJ9tbe3u0gPwVn19fXGWJAPm/aKJmMY+wPQs//yrJ04ccJ5X77jjjvs+uuvLzsvzEHllfobzLq7e+z06VP2zjvvuJfwoYce8q5BRqgYSAUOhZ955hk7f+68CzlEG6Ot5eMlHOHRFXuIdnby1El76aWX7OjRo64cYManpaWlYstVjIxDxBggf/SjH9nZs2ftC1/4gidjowC/c+dOe/LJJ92EnLa3YMEC+/SnP+3CqXkieyV4YATR37t3r73++usOp5/92Z915NXjdSVevJNwjGeffdZhBX54fqAv++QnP+nGgSuvGt+eiiZjzIDefPNN1+l//vOft/d2vWebNm2yuXPn2ry58+QZvbzCO4yvagpzNvG+3ntvp7399ttu5s1MiH3eT1tuvHkJ++Sjh3bV1dVlP/e5n7P9+/fbD0XM5s+f71yu+Nn3ldgx037+ueetLlZnjzzyiOv4v/a1rzmJxbXXXuvJxZWQXdqTVmTsHTt2uEGSmXc/S+FwBeVTTgR4R8+cOWNLly61+++/3w2WMUWAiIQjvp3lRExRVPR+vvvuu/bUU0/Z+257n61dt9YTsWGwYjcElfYFt6C9kRgT8Prg3lHtmyiJrVgy5gbJvrh1dnba6tWrraGxwZYtW2ZHjxx1M3F8lIVdzESHm/8zgADEYd26dbZy5UpHZCFlPg2PAC8YKjbCbd10001uJjR9+nSbJZE+kwGfciNAO7vn3nvcjJEIGswiMR9IpZIT7rRyP7E69jJIdrR32Isvvuj6NTr7Gu/AbtjKZRxgMompCu0MTYlTG9VLHY5PDJ+uQADMeB9feOEF+8AHPuD6NH4zCQCziZKKKx5YJTvo0/jQ7wdkdsN1GxSOrCEv6t2KJWPULx07DaupqcmBgcqIsEmI+Nnv05UI8KKBEx2Xl4ZdiU+uPZCxhQsWysdT2hBPEx2CzmvunLkjhunKda/Jsg+JKzY7qHc3b97spIlIEmfPvhx+a7JgMdZy0mchfX3yqScN6SEd/vHjx8d6+aQ9D9zo14jWsmvXLjtw4IDdeuutTiVOP+fTYATAiraFnfWePXvcJAl1+KpVq2zDhus1npZLXODB+S71r8CeDjt11OJIxJYtX5Y30l/RZCxX5eCalJfTk7Fc6Ph9V4MAL2G/ol0n40nX0b/yyitOHdI6rdXPIkcAFPUaUovAPoWJksNyYPAc4dJJeYhO/tixY47sY4+IGol9SP8bGxq92UWOVgGx4HPzzTe7BUltM9rcRBM7KMgFE06O+zQYAd5J2tb69eutra3NEdkf/OAHTmPSKC2Tx2wwXsEveAW4oaK84YYb3IQzX1hVtByXjh0gkFKQaGD8bmxszIvYMKgA/+0RgFScPn3avvnNb7pZNzYWPg2PAJ1WV3eXUxndc8899vM///Ouw9+3b5/v6HPABl6o2H784x876RjG+1u3bnV2nc8995yzW8xxmd8lBEI1IUcosOmZ2jrVEQxWU7LyLV8DZbUBHY1Enf0mNlB8Fi9a7FRwwRhabeXNV3l4T5kcIVUEN7RM+UoVKxnjJUMEjQ730KFDjpAxq2TAxL6HF9Qnj0A+EKCDom1961vfso985CNuxp2QlAzJDzPvQHydj2dVyz1Qg3z/+9+3RYsWufcRMktH5rHKXcP0Z7hKYWUzk0tU49hz4npgw4YNVlfr1W25kKNNdfd0G1Kda665xkl2eFfBjUk5xz0huxI57BBpY6wQBB8mAvRzXnJ9JVbZezC7QCqGRJGVlPlsWxVLxgCIxsQLyCySDzMh2OrMmbPypsfNrohq20bnPa11mrd7GqViMdg8IDsUvrHhwb6CSQBtjfbnCcaVANJJYfe0fft2ZzcGGQOvJUuWXHmy3+MQYJa9YP4C56KHHRcvXnSDpfP/5I3Rh20lTIhoV6gmWemM7diaNWucLXE+B8thM1CBB2hrSKzfeustZ2fHBODuu+/2mI1Ql474a6EIwp9PfOITeZWK8diyjU05AiaDDgXOOA8fOeyYKg5MvTPOQRAN+6NTTkw7OtptZttMb48yLEqZZeAMjEhdSXTw2D9BZnHICTHz6UoEkI5BXE+dPGXR2qhzBcLKI+9y5kqscu3BkSn2KTNnzsx12O/LQoC+rL39opss8U5OndrqDdGz8Bm6CbFg9eTxE8cd6WelMx4IEHB4AjsUrcu/GQcgrtgm5rsfq3gyFsDkxdEBEv7bI+AR8AhMTgT8ODA5670aSl01ZKwaKsOXwSPgEfAIeAQ8Ah6ByYeAt3KffHXuS+wR8Ah4BDwCHgGPQBkh4MlYGVWGz4pHwCPgEfAIeAQ8ApMPAU/GJl+d+xJ7BDwCHgGPgEfAI1BGCHgyVkaV4bPiEfAIeAQ8Ah4Bj8DkQ8CTsclX577EHgGPgEfAI+AR8AiUEQKejJVRZfiseAQ8Ah4Bj4BHwCMw+RDwZGzy1bkvsUfAI+AR8Ah4BDwCZYSAJ2NlVBk+Kx4Bj8DYEcDBp08eAY+AR6AaEPBkrBpq0ZfBIzAJEHAhXBTMOCBh58+dd/Fo+Z1Kptx+tgmRduTIEfddbrCQP4JYExOQcEc+eQQ8Ah4BEPBkzLcDj4BHoCAIQDz4BCmdRaSCfXwPPS84NvT8rq5uF3ScmJekza9vtnfeecf4TYw9YsZxL+LH/cM//IMjPcG9uVeuFBzPdSzYN5ZzgnODb64JUvb1BEw/d+6cfe9733PfufKVfX5wD76H2599jt/2CHgEKhMBT8Yqs958rj0CZYsApAGSAfEgGDGJ3wS95liQ2Jd9XvYxzoFkBddzbN++vfbDZ35oXV1d7j433nijrVu3zjo7Ou1b3/qWnTp1yvrT/QoSPdU++9nPWkNDg3sU9+DZPCtIwTb3JZ+5Esc4LziH7+wP12SfE2yz3+V94Fqez4fjqVTKkTCCMtfW1l7xbJ7n8jpwfvAMriWfw+WV83zyCHgEKhcBH5uycuvO59wjUHYIoCJ88803bcuWLdbR0WH33XefzZgxwx577DHr7u62ZcuW2W233WbTp0+37373uxaJROzw4cMWDofskUd+1qZNm+bOe/75523v3r3W2Nhod9xxh9XU1LjzITPXXHONffjDH7ZHH33UNm7caJte22R7du+xJUuW2EMPPWSnT592uFx77bV29OhRe/LJJ93v4NnNzc321FNPWV1dnR04cMBJ1D760Y/aokWLLBaLXcL08ccft87OTjt//rydOXPGPvWpTxkkCmmcaJjdcMONTgr3xBNP2Mcf/rgdPnLYNm3a5EjgoUOHbM2aNdbW1mbbtm2zs2fP2ic/+UmbO3euvfzyy7Zr1y5HzCBf4AGxbG9vd7jt2LHDkUDyNG/efNu+fZvt3r1bZHSf3X///Xbrrbc6PC5l1G94BDwCFY+Al4xVfBX6AngEygcB7KGOHTvmpD+33367SFbYnn76aUfI7rrrLkeOdr6706kQ33vvPZfxe+65x5GL119/3ZGWd999144fP25cDzkLrp83b54jXDfddJMjSEjCIFR33H6HtbS02Ac/+EH3vO3btztSBcmD1G3YsMHuvfde43kQIyRPbGOzdfPNN9u8ufPslVdeGaTW5Jw9e/Y4EnbLLbe4/O/cudNdw/3D4YiTdEGgKG84EraTJ0/awYMHbfXq1Y4wUR4I5fve9z5HPiFxEFTs2cg3JAxi+eKLLzrSx/ncm3JDDCG158+fc3lFtUn5wMAnj4BHoPoQ8GSs+urUl8gjUDIEsNtCmgT5QdqDVAmCsmLFCicxmjJlih09dtRJlJByXX/99bZy5SpJv97vzoOEQU7mz5/v1HhIsSBNkBdUf8uXL3eEBOkX5yB5ampqMs5bsGCBhUIhR45mzpxpW7dutdbWVidZg/SsX7/ekFih6kMiBUlas2atrVy10knHAhUgKkVUn6hDIWJIuJC6oVakbCdOnHDPhWhCPnk+5IyyIo3js3btWkfAeC7kjLxxPtJByBvE6oYbbnD3BjNIGtKvpUuXuvtBQikvz0O6h0QMKSD3QUrok0fAI1BdCESqqzi+NB4Bj0ApEcB4HpXe3Xff7cgHRAqChOqNBKFB6oOkByIFiSJBRthuv9jurkfqBbnhWghRNBp16kfswCApB6RehCCxn/NQhaLyhLxAqiAz5GXVqlXumTwD0sM5HOceXJtMyvhfBBCJE3mD6KT709be0W4QR9Sp2GtBwCB/kDhIZOvUVncu+Ua1yX1QRUIWuQflJk+Ukes5NmvWLHeM4+SP53M/ysj5bEMyIWwkiBcklOeRD7Y9EXPQ+D8egapDwJOxqqtSXyCPQGkQgHRAjLAbg8iEakKOQLB95513XrKRQkKEyo79ECNUcagTP/KRj1h9fb0jRUijsK9CXQhZgaAgqYIwJeIJZ2f2/ve/3xUUSRNEh/MgXEjDIEjYm0HOIExcj/oT1SBEEGIDMUOyhS0WdmmQIxKkCIIWSN3SWhTAs1kYENK/Gv1LpVNOLYkqFKLEc4NygwMqS56P1IzE8aC8bFMuSCtSQ1SsnEvZr7vuOlu8eLEjZ5wPaQQv8uaJmIPS//EIVCUCnoxVZbX6QnkESoMARAYVYWNDo4VklI+KDsLy9ttvuwyxf/mK5U71BilhP0QH4oVUiXTPB+9xdlLYY0GiUGVCRiAnqOw4FyIFAYPAQGb279vvCA7kDkN9CAz2YK+++qozqudeqAxXrlzpVl0uXrTYXcuzITwQL64JEs+dPXu2VKsqR6jGkTekWZA8ngd5JA9IvHhOII3jGhJlg7xxfkCiIIkQNfa99tpr7jwkgNjS8Xwkb9ilkVdIJGperoXskTeuDe7lLvZ/PAIegapBwK+mrJqq9AXxCJQeAcgFxATCRMIZ69lzZ509FOQFmyjIz9e//nUnCYO88Vm1cpU1tzQ7goM/sT17djtSsnDhwkvkC6ICGeHePAc1XjQSderI7e9sd7Za3BsJFWpHtpGaYScGgeLZSMSQlDlVo8gRkjEkVNwzUANyHWpJpFotzS1ObQmhnDlzliRzUSdZYzUk5AzVKvcOpHJs19XWObu4psYmm9o61bnbOHjooDsfTCBwkEAIF+QNSRjlQq1KflFVkldIGFiSP8pD/nzyCHgEqhMBT8aqs159qTwCJUEA6Q0pW4ID2cL/l9svKROrCb/xjW/Yl770JadSRJ2JFC24hntgRB+cD9EhQexqdD3nBVKiYBvSAtkjcSy4JvvZwTOy88h29vnuBvrDddw7yFP2b7Yhc+Q7yE9wHd9ck30++4LfbLtnZuER5DXIC/dGEhY8O1f+uI9PHgGPQPUg4MlY9dSlL4lHoCIQQAKECwfUcKjsfPIIeAQ8ApMdAU/GJnsL8OX3CBQZAaREGLAHasEiP94/ziPgEfAIlB0CnoyVXZX4DHkEqh8BVG+BGq76S+tL6BHwCHgERkbAO30dGR9/1CPgESgAAp6IFQBUf0uPgEegYhHwZKxiq85n3CPgEfAIeAQ8Ah6BakDAk7FqqEVfBo+AR8Aj4BHwCHgEKhYBT8Yqtup8xj0CHgGPgEfAI+ARqAYE/n+RiLort2yzeAAAAABJRU5ErkJggg==
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
[[Советы по написанию документальной литературы]] - это гугл транслейт этой ссылки
https://slatestarcodex.com/2016/02/20/writing-advice/

Люди просили меня дать совет по написанию документальной литературы в Интернете, поэтому вот несколько советов:

1. Разделите вещи на небольшие части.

Никто не любит стены из текста. К этому моменту большинство людей знают, что у вас должны быть короткие, приятные абзацы с переносами строк между ними. Чем короче, тем лучше. Если вы когда-нибудь сомневаетесь, стоит ли заканчивать абзац и добавлять разрыв строки, ошибитесь в сторону «да».

Как только вы поймете этот принцип, вы сможете обобщить его на другие аспекты вашего письма. Например, я позаимствовал стиль «Последнего психиатра» - разрывы разделов - жирные заголовки с надписью I. , II. , III. и т. д. Теперь вместо простых разрывов абзаца у вас есть две формы разрыва - разрыв абзаца и разрыв раздела. В некоторых из моих самых длинных постов, в том числе в Anti-Reactionary FAQ и Meditations on Moloch , я добавляю третий уровень перерыва - в первом случае - уровень надраздела крупным шрифтом, во втором - уровень подраздела с подчеркнутым Первым, Во-вторых, и т. Д. Опять же, если вы когда-нибудь спорите о большем количестве перерывов, а не о меньшем количестве перерывов, ошибитесь в пользу «большего».

Завершение абзаца или раздела дает людям небольшой всплеск достижений и награды. Это помогает им собрать воедино основные идеи и запомнить их на будущее. Вы хотите, чтобы люди продолжали действовать - «хорошо, понимание, хорошее, еще одно понимание, хорошее, еще одно понимание, хорошее», а затем, в конечном итоге, вы можете связать все идеи воедино в понимание высокого уровня. Затем вы можете начать все сначала, пока, в конце концов, не свяжете воедино все высокоуровневые идеи. Он красивый, структурированный, с ним легко работать. Если они просто следуют извилистому потоку мыслей, куда бы он ни шел, потребуется гораздо больше умственной работы, и им станет скучно, и они уйдут.

Помните, что приманка для кликбейта разработана крупными медиа-корпорациями, оптимизирующими ее для удобства чтения, и что воплощение кликбейта - это листик. Но понимание списка применимо даже к гораздо более сложным интеллектуальным произведениям - людям гораздо приятнее читать длинную книгу, если их можно обмануть, заставив думать, что это серия мелочей.

2. Разнообразие - это изюминка жизни.

Это действительно тесно связано с последним советом. Вашему мозгу становится скучно, если ему приходится слишком долго сосредотачиваться на одном и том же. Но вы можете обойти это, сделав занятие похожим на множество разных вещей. Иногда это так же просто и глупо, как поставить римскую цифру один, римскую цифру два и т. Д. В естественные перерывы в статье, и тогда ваш мозг думает: «О, я думаю, здесь есть две разные вещи». Но в других случаях вам действительно нужно изменить опыт чтения.

Опять же, кликбейтеры - наши гуру - они вкрапляют изображения в свой контент. Изображения не всегда очень полезны, они не всегда добавляют много, но теперь это не просто стена текста. Это стена текста и изображений.


Наблюдайте за синим кружочком, пока не забудете, как вам скучно это эссе, а затем продолжайте.

Или вы можете быть более тонкими. Прервите свой поток. Включите ссылки , чтобы нескончаемый поток черного текста на белом фоне прерывался красивым синим цветом. Если вы очень отчаянные, наклонные определенные слова , чтобы имитировать напряжения нормальной речи и превратить визуальный опыт в визуально-слуховой опыт. Меняйте форму предложений согласно Гэри Провосту :

В этом предложении пять слов. Вот еще пять слов. Предложения из пяти слов подходят. Но несколько вместе становятся однообразными. Послушайте, что происходит. Писать становится скучно. Звук его гудения. Это похоже на застрявшую пластинку. Ухо требует разнообразия. А теперь послушай. Я варьирую длину предложений и создаю музыку. Музыка. Письмо поет. В нем приятный ритм, перелив, гармония. Я использую короткие предложения. И я использую предложения средней длины. А иногда, когда я уверен, что читатель отдохнул, я вовлекаю его в предложение значительной длины, предложение, которое горит энергией и строится со всей силой крещендо, барабанной дроби, грохота тарелок. - звуки, говорящие, что послушайте это, это важно.

(Цитаты - также хороший способ разнообразить процесс чтения)

Но не меняйте просто внешний вид вашего письма. Меняйте тон. Если вам удобно, переключайтесь между регистрами. Когда я говорил о СИОЗС , я упоминал исследование за исследованием за исследованием - а затем, примерно в середине, я рассказал какую-то забавную историю о том времени, когда у меня было собеседование с автором одного из исследований. Это был полный разрыв с тоном статьи, что опасно, но я надеялся, что после того, как ваш разум притупился двадцатью разными фармакологическими исследованиями подряд, быстрый от первого лица и глупый рассказ воодушевит и даст вам энергии, чтобы пробиться через еще двадцать таких исследований.

3. Держите поток идей сильным.

Я прикрываю свой поток идей множеством таких слов, как «Также», «Но», «Тем не менее», «Связано» и «Так» (когда я чувствую себя претенциозно, также «Таким образом»). Это слова, которые учитель английского в восьмом классе посоветовал вам никогда не начинать с абзаца. Ваш учитель английского в восьмом классе ошибался. Если вы пишете три абзаца, которые представляют собой три разных доказательства одного и того же вывода, который вы собираетесь представить позже, убедитесь, что ваши читатели знают это. Это может быть очень просто:

Совершенно очевидно, что X истинно, и у нас есть много сходящихся линий доказательств. Некоторые из лучших свидетельств приходят из области предсказаний. Например :

Во-первых , А

Во-вторых , B

В-третьих , C

Теперь , некоторые люди говорят , что не-А, но это совершенно неправильно. Это только выглядит как не-A, потому что P. Точно так же , хотя Q может сделать его похожим на не-B, Q нельзя доверять по ряду других причин, например R. И не-C слишком глупо, чтобы даже думать о нем. . Итак, несмотря на возражения, которые вы всегда слышите, предсказания в пользу X убедительны.

Еще больше доказательств поступает из области гаруспици. Все четыре основные гаруспические школы придерживаются X как основного принципа. Школа 1 говорит X из-за D. Школа 2 говорит X из-за E. Школа 3 говорит X из-за F. И школа 4 говорит X из-за G. Таким образом, хотя предсказания и харуспици во многом расходятся, по предмету X они в полном согласии.

Обратите внимание на подчеркнутые слова, поддерживающие структуру аргумента. Мало того, что аргумент красив и убедителен, но и заранее телеграфируется роль каждой части в целом. Например, «сейчас», которое появляется сразу после того, как C говорит что-то вроде «Сделайте шаг назад, я собираюсь сказать вам кое-что, что в противном случае могло бы быть спорным, но послушайте, что я хочу сказать». И «аналогично» сразу после P означает что-то вроде «Мы только что начали говорить о не-A, потому что P, вот еще один аргумент примерно с такой же структурой». Прежде чем вставить какие-либо факты, вы уже знаете, где они вписываются в структуру. И вы можете абстрагироваться от микроуровня и получить более широкую картину какого-либо факта, который подтверждается как предсказаниями, так и харуспицией, что было основным пунктом аргументации.

Я очень "на самом деле" злоупотребляю миром. Я пытаюсь сократить его, но не хочу останавливаться полностью. «На самом деле» - отличное структурное слово. Он отличает «Вот как все выглядит, вот что на самом деле правда». Это предложение имеет смысл даже без «фактически», но я чувствую, что «действительно» держит руки моих читателей на протяжении всего процесса и позволяет лучше определить дихотомию.

Защитите свой поток идей любой ценой. Это может показаться парадоксальным после раздела 2, в котором говорилось о том, как хорошо разрывать потоки. Это является своего рода парадоксом, и это является своего рода трудно объяснить, но это разница между «захватывающий» и «ужасно». Еда иностранной кухни может быть захватывающей, потому что она сильно отличается от вашей обычной еды; есть горячую лаву даже больше, чем обычно, но уже не весело. Поиграйте с потоком и разнообразием, но никогда не прерывайте его резким образом. И если вам нужно прервать поток, сделайте его потоком вашего предложения или потоком вашего абзаца, но не потоком идей .

Я очень беспокоюсь о том, где это, а где неуместно прерывать поток идей. Иногда я использую действительно уродливое решение - заключить весь абзац в круглые скобки, как если бы сказать: «Я действительно хотел поднять этот вопрос здесь, но помните, что на самом деле это не часть структуры этого аргумента!»

(это хороший пример мета-уровня. Я использовал здесь слово «на самом деле», и я хотел указать на него как на пример того, о чем я говорил раньше, но это нарушит ход всего этого спора о том, как вы не должны прерывать поток вещей. Итак, в соответствии с пророчеством, в круглых скобках длиной в параграфы. Я начинаю думать, что, может быть, я не лучший человек, чтобы давать советы по написанию ...)

Но иногда вам просто нужно опустить наблюдение, которое было бы интересным и полезным, но не в этой конкретной части вашего аргумента. Думаю, фраза «убей своих любимых» .

4. Узнайте, что следует и что нельзя повторять.

Многие медицинские записи, которые я читал, выглядят так:

Г-н Смит представляет в ER для оценки. Ему 24 года. Жалуется на боли в груди. Сегодня он был в душе, когда поскользнулся и упал. Он смог встать и приготовить ужин. Он говорит, что через два часа боли в груди начались. Он говорит, что никогда раньше не испытывал боли в груди. Он принял две таблетки аспирина. Он говорит, что не помогло. Он говорит, что сейчас боль 8/10. Он говорит, что это довольно плохо, но что боль слышать эти повторяющиеся структуры предложений еще хуже.

Если два предложения подряд начинаются с одного и того же слова, это звучит громоздко. Если три или четыре, это звучит странно. Если это стоит целого абзаца, люди начинают сомневаться в собственном здравомыслии и пытаются выбить себе глаза.

Контрпример: как насчет параграфа чуть выше, начинающегося с «Если два предложения…»? Я начал с «если» три раза подряд, и это звучало совсем неплохо! Как дела?

Сознательное использование параллелизма - это нормально и даже заслуживает похвалы. Обычно это предполагает использование одной и той же структуры, чтобы привлечь внимание к определенным различиям. Вы можете сказать, является ли что-то хорошим параллелизмом, произнеся это вслух. Когда я говорю вслух вышеуказанный абзац, я использую особую интонацию, особенно в тех местах, где предложения различаются (например, «два», «три или четыре», «стоимость целого абзаца»). Здесь ваш читатель знает, что вы пытаетесь сделать, и это интересно. В примере из истории болезни нет преднамеренной попытки параллелизма для сравнения и противопоставления. Вы просто делаете одно и то же снова и снова.

Но дело не только в первых словах предложений. Рассмотрим что-то вроде этого:

В Китае самое большое население из всех стран мира. Он также имеет самую большую армию. Из-за мощной военной мощи Китая некоторые его соседи боятся этого. Китай много раз заверял своих соседей в том, что он мирный, но они не были убеждены.

Для меня это звучит странно. Повторение «наибольшее население» и «наибольшее количество вооруженных сил» сделано неуклюже. Есть много способов сделать это действенным параллелизмом - например, «Китай имеет самое большое население - и самые большие вооруженные силы - в мире» или «Китай имеет самое большое население в мире; он также может похвастаться самой крупной армией »- но как бы то ни было, это звучит просто странно. Когда вы приходите к «крупнейшим вооруженным силам», тут же возникает мысленный возврат к «самой большой численности населения», но вы не знаете, почему, и это просто отвлекает.

Точно так же странно повторение «соседей». Эту проблему можно решить, изменив второе использование на «те соседи», которые, как вы знаете, повторяют «соседи» и сделали это специально. В остальном у него такая же прискорбно тупая каденция, что и в истории болезни.

Вы также можете решить обе эти проблемы, просто изменив структуру настолько, чтобы проблема исчезла. Например:

Китай - самая густонаселенная страна в мире. Он также может похвастаться крупнейшими в мире вооруженными силами, что вызвало обеспокоенность у других стран региона. Хотя Китай пытался убедить своих соседей в своих мирных намерениях, их это не убедило.

Это сложно и действительно заслуживает рассмотрения в целую книгу. Без книги все, что я могу сказать, - это понять, что любое повторение слов и структур будет выделяться вашим читателем, и убедиться, что их выделение подчеркивает вашу точку зрения, а не просто сбивает с толку.

5. Используйте микрогумор.

Вы слышали о микроагрессиях. А теперь попробуй микрогюмор. Это вещи, которые не являются шуткой в том смысле, что комик рассказывает вслух, но все же вызывают крошечный призрак улыбки на лице вашего читателя, пока он просматривает их.

Я научился этому искусству у Дэйва Барри и Скотта Адамса, которые оба пишут юмор и используют нормальный макрогюмор, но оба они дополняют промежутки между шутками микрогюмором. Лучше всего читать все, что они написали, второй вариант - послушать, как я неуклюже пытаюсь это объяснить.

Вот абзац с моей страницы «О нас»:

Темы здесь имеют тенденцию неопределенно концентрироваться вокруг этой метафилософской идеи о том, как люди оценивают аргументы в пользу своих убеждений, и особенно о том, нарушается ли этот процесс таким образом, который может обречь всех нас, а может и не обречь его.

Здесь есть пара вещей, которые можно квалифицировать как микрогюмор. Возьмем, к примеру, «особенно, нарушается ли этот процесс так, что может обречь всех нас, а может и не обречь». Это не совсем шутка. Если бы я был комиком и произнес эту фразу, вы бы не начали смеяться. Но забавно начинать с того, что звучит как довольно сухая академическая идея («как люди оценивают аргументы в пользу своих убеждений» и не нарушен ли процесс), а затем смешивать ожидания с преувеличенным (ну, может быть) предупреждением об этом. обрекая всех нас. Фраза «может или не может обречь всех нас» делает то же самое в меньшем масштабе: «может или не может» - это довольно сдержанная, осторожно звучащая фраза, тогда как «обречь всех нас», очевидно, является противоположностью сдержанности (я также вроде аналогичной конструкции «это могла быть худшая идея на свете»).

На самом деле вы можете пройти долгий путь к микрогюмору, просто используя хеджирующие слова («расплывчато», «вроде как»), преувеличения («самое худшее», «обречь всех нас»), а иногда и их сочетание.

Я думаю, что этот микрошумор действительно важен, может быть, это то, что номер один отделяет действительно приятных писателей от людей, которые технически опытны, но все еще требуют чтения. Подумайте об этом с помощью действительно упрощенной бихевиористской модели, в которой вы продолжаете делать то, что дает вам небольшие всплески вознаграждения, и прекращаете делать то, что не дает. Есть только несколько источников вознаграждения за чтение. Один из них - получение важной информации. Другой - это слышать вещи, которые поддерживают ваши внутренние группы или критикуют ваши чужие группы. И третье - возможно, самое важное - это юмор. У кого когда-нибудь были проблемы с чтением действительно веселой книги анекдотов?

Никто не может быть супер-смешным все время, и статья об экономическом кризисе, наполненная шутками в стиле «человек входит в бар», была бы резкой и странной. Но микро-юмор действительно работает. Он работает на фоновом уровне, когда люди не замечают, что он работает, и заставляет людей возвращаться к нему снова и снова.

Юмор тоже обезоруживает. Трудно ненавидеть того, кто смешит тебя. Я не имею в виду кого-то, кто шутит фанатично, оскорбляя вас, или пишет политические карикатуры о том, насколько ужасна ваша внутренняя группа. Таких людей легко ненавидеть. Я имею в виду того, кто прямо сейчас смешит тебя . Если вы можете заставить людей смеяться, бросая вызов их заветным убеждениям, у вас будет немного больше доброй воли, чем обычно.

6. Используйте конкретные примеры.

Рассмотрим следующее предложение:

В исследовании, измеряющем, определяют ли неявные отношения результат, вы должны убедиться, что неявные отношения не служат точным показателем лежащих в основе основ.

Это тезис одного из моих наиболее популярных постов « Восприятие требуемых способностей, выступающих в качестве прокси для фактических требуемых способностей» , но я не представляю его в таком виде. Вместо этого я начинаю с того, что говорю:

Представьте себе исследование со следующей методологией. Вы опрашиваете группу людей, чтобы узнать их представления о том, кто из них курильщик («97% его близких друзей согласны с тем, что Боб курит»). Затем вы соотносите эти числа с тем, кто заболевает раком легких. Ваша статистическая программа загорается, как рождественская елка, с кучей суперсильных корреляций. Вы делаете вывод «Восприятие курильщика вызывает рак легких» и придумываете теорию о том, как негативные стереотипы курильщиков вызывают стресс, подавляющий иммунную систему. СМИ сообщают, что «курение не вызывает рака, а стереотипы вызывают».

Независимо от того, поняли ли вы тезис с абстрактной версией или согласились с ним, вы (надеюсь) обнаружите, что проблемы с примером никотина интуитивно очевидны. Теперь, если я дам вам принцип «в исследовании, измеряющем, определяют ли неявные отношения результат, вы должны убедиться, что неявные отношения не служат точными заместителями для лежащих в основе фундаментальных принципов», этот принцип имеет смысл, и вы, скорее всего, согласитесь с ним. Это. Теперь мы можем перейти к более сложным проблемам, таким как собственно исследование в посте, где это не так очевидно и где многие люди думали, что они доказали, что неявное отношение определяет результат.

Если вы собираетесь изложить сложную мысль, начните с конкретного примера. Если вы собираетесь изложить очень сложную мысль, начните с множества конкретных примеров. Когда я написал « Размышления о Молохе» , вероятно, самый сложный момент, который я когда-либо пытался выразить в этом блоге, я начал с четырнадцати различных примеров, прежде чем даже попытался выразить основной принцип. Я надеялся, что читатели смогут триангулировать мою точку зрения, обнаружив, что общего у всех четырнадцати примеров, и большинство из них сделали.

Это связано с идеей, которую я постоянно подчеркиваю, а именно, что у людей редко бывают последовательные принципы метауровня. Вместо этого они будут поддерживать принцип метауровня, который поддерживает их верования на объектном уровне в любой момент. Я продолжаю приводить пример того, как, когда федеральное правительство было против геев, консерваторы говорили о насущной необходимости федерального вмешательства, а либералы настаивали на правах штатов; когда федеральное правительство стало сторонником геев, либералы говорили о насущной необходимости вмешательства со стороны федерального правительства, а консерваторы настаивали на соблюдении прав штатов.

Поэтому, если вы хотите убедить кого-то в принципе метауровня, вам нужно построить его на примерах, которые его подтверждают. И если вы хотите, чтобы этот принцип был хорошо обоснованным и стабильным в условиях рефлексивного равновесия, вам также необходимо представить примеры, которые его не подтверждают, и объяснить, почему вы не сделали из них свой принцип.

И если вы хотите убедить кого-то в том, что его принцип мета-уровня неверен, самый быстрый и эффективный способ сделать это - показать, что он доказывает слишком много , а затем предоставить ему лучший принцип, который сохраняет то, что он хочет, но не делает ». не доказывать то, чего они не хотят.

Но я хочу сказать, что все это должно быть сделано на уровне объекта, с небольшими переходами на уровень мета-уровня, которые выполняются далеко друг от друга и оправдываются широким применением на уровне объекта. В противном случае вы, скорее всего, вылетите в совершенно абстрактное и в конечном итоге будете звучать как Гегель:

Добро - это идея или единство концепции воли с конкретной волей. Абстрактное право, благополучие, субъективность сознания и случайность внешней реальности в своем независимом и раздельном существовании вытесняются в этом единстве, хотя в своей реальной сущности они содержатся в нем и сохраняются. Это единство - осознанная свобода, абсолютная конечная причина мира. Каждый этап - это собственно идея, но более ранние этапы содержат идею только в более абстрактной форме. Я как личность - это уже идея, хотя и в самой абстрактной форме. Хорошая идея - это более определенная идея; это единство концепции воли с конкретной волей. Это не что-то абстрактно правильное, но имеет реальное содержание, суть которого составляет и право, и благополучие.

Пожалуйста, не говорите так, как Гегель.

И бесплатный совет для этого: используйте такие слова, как «я» и «ты» вместо «человек» или «кто-то». Сравнивать:

«Если кто-то проведет расчеты по этой методике, результат, вероятно, будет бессмысленным».

Против:

«Если вы проведете расчеты по этой методике, вы, вероятно, получите чушь».

Думаю, второе звучит резче и конкретнее.

7. Определите, кого вы пытаетесь убедить, а затем используйте правильные племенные сигналы.

Вашим образцом для подражания в этом (и ни в чем другом) должен быть Дональд Трамп. Подумай об этом. Он поддерживает систему планирования семьи, не хочет сокращать программы льгот, осуждает Дубью и войну в Ираке, поддерживает позитивные действия, поддерживает медицинскую марихуану и т. Д. Если бы кто-то сказал вам в прошлом году, что человек с такими политическими позициями не только возглавляя предварительные республиканские выборы, но лидируя даже среди самых консервативных избирателей, можно подумать, что они сошли с ума. Остальная часть страны десятилетиями пыталась убедить консервативных республиканцев чувствовать себя более комфортно на этих позициях, и нам это с треском провалилось. Теперь Трамп просто вальсирует, и все говорят: «Да, хорошо, конечно»?

Секрет успеха Трампа в том, что большинство консервативных республиканцев на самом деле не заботятся о медицинской марихуане (или чем-то еще) как таковой. Им не все равно, потому что противодействие медицинской марихуане символизирует принадлежность к их племени, они чувствуют, что их племя преследуют, у них яростная лояльность к своему племени, и их проклинают, если они собираются поддержать кого-то, кто не использует правильные шибблеты.

Трамп бросает им кость. Он говорит такие вещи, как «нелегальные иммигранты - насильники», которые никогда не скажет ни один умеренный или либеральный, - вещи, которые их ужаснули бы. Он использует все аффекты рабочего класса . Он может не совсем доказать, что он «один из нас», но он очень эффективно доказывает, что он не просто типичный член чужой группы. Когда Трамп говорит: «Легализируйте медицинскую марихуану», они не слышат: «Я еще один либеральный анютиный глаз РИНО, который ненавидит христианские ценности и хочет, чтобы все стали хиппи, курящие рефрижераторы». Так что они слышат только что-то скучное о правилах, касающихся обезболивающих, - и кого это волнует?

Закон Трампа заключается в том, что если вы хотите убедить людей, печально известных своей невиновностью, половина дела - использовать правильные племенные сигналы, чтобы звучать так, будто вы один из них.

Например, когда я пытаюсь убедить консерваторов, я отклоняю свой сигнальный путь вправо. Я начал защиту триггерных предупрежденийс «Я много жалуюсь на движение за социальную справедливость». Затем я процитировал Иезавель и различных профессоров этнических исследований, которые выступают против предупреждений. Затем я попытался доказать, что триггерные предупреждения действительно хорошо сочетаются с сильными версиями свободы слова. На этом этапе я даже не начал спорить в пользу триггерных предупреждений, я просто создал неожиданную среду, в которой триггерные предупреждения можно рассматривать как консервативную вещь, поддерживаемую людьми, которые любят свободу слова и не любят социальную справедливость. , а противодействие выдаче предупреждений можно рассматривать как очень либеральную вещь, которую поддерживают такие люди, как Иезавель и профессора этнических исследований. Важно не то, что я убеждаю кого-либо, что триггерные предупреждения действительно правы - это сложная задача, - но что правые, читающие мои аргументы, чувствуют, что я работаю с ними, а не против них. Я не просто очередной левак, говорящий: «Поддерживайте предупреждения о срабатывании триггеров, потому что это левая вещь, и вы должны быть левыми, а все справа ужасны!»

Моя награда заключалась в том, что я видел, как кучка закоренелых антисоциальных сторонников справедливости переполняла себя ужасом от того, что на самом деле были в некотором роде убеждены, что было довольно забавно.

С другой стороны, когда я пытаюсь убедить феминисток в чем-то, я начинаю с триггерного предупреждения - отчасти потому, что я искренне верю, что это хорошая идея и эти сообщения могут запускать, но также отчасти потому, что запуск с триггерного предупреждения является племенной сигнал, который люди справа используют редко. Значит, либо я на их стороне, либо проявляю к ним необычайное уважение. Это очень похоже на то, как Трамп сказал, что нелегальные иммигранты - насильники, а чужая группа никогда бы этого не сделала.

(И это не только моя теория - я получил много гневных комментариев по поводу предупреждений о триггерах от людей, находящихся дальше меня, о том, что их использование делает меня идиотом, тупицей, куколдом или чем-то в этом роде. эти комментарии, потому что это означает, что сигнальное значение использования предупреждений триггера остается неизменным.)

Пересечение границ племенных сигналов - это, безусловно, самый важный метод убеждения, который я знаю, кроме которого ни один из других даже не заслуживает того, чтобы называться методами убеждения вообще. Но чтобы это сработало, вы должны действительно понимать сигналы и иметь хотя бы немного искреннего сочувствия к другой стороне. Вы не можете просто сказать: «ПРИВЕТ ЗДЕСЬ, ДРУЗЬЯ ЛИБЕРАЛЫ! СОЗДАЕМ ВМЕСТЕ ИНТРУЗИВНЫЕ БОЛЬШИЕ ГОСУДАРСТВЕННЫЕ АГЕНТСТВА! НО ПРЕЖДЕ ЧЕМ МЫ ХОЧУ СКАЗАТЬ ВАМ О ВТОРОЙ ПОПРАВКЕ… »

Что я думаю , означает , что , будучи в состоянии рассмотреть обе стороны вопроса рода дает сверхспособность. Это очень обнадеживает.

8. Предвидеть и снимать контраргументы.

Вот кое-что, что я заметил. Что-то вроде:

Алиса: Нам нужно вторгнуться в Сирию. Я знаю, что в таких ситуациях всегда есть риск создания вакуума власти в стиле Ирака, но угроза со стороны ИГИЛ слишком велика.

Звучит намного лучше, чем что-то вроде:

Алиса: Нам нужно вторгнуться в Сирию.
Боб: Но разве нет риска, что создаст вакуум власти в стиле Ирака?
Алиса: Угроза со стороны ИГИЛ слишком велика.

Второй вариант звучит слишком похоже на то, что Алиса на самом деле не думала о силовом вакууме, Боб позвал ее на это, и она как бы сбила его с толку касательно связанной точки. Первое больше похоже на то, что Алиса - осторожный мыслитель, взвесившая все риски и выгоды и, наконец, решившая в пользу вторжения. Это верно даже при том, что рассуждения Алисы одинаковы в обеих ситуациях.

Или как насчет этого:

Алиса: Нам нужно вторгнуться в Сирию. Я знаю, что в таких ситуациях всегда есть риск создания вакуума власти в стиле Ирака, но угроза со стороны ИГИЛ слишком велика.
Боб: Я знаю, что угроза со стороны ИГИЛ серьезна, но меня все еще беспокоит эта проблема с вакуумом власти.

Боб здесь кажется слабоватым. Давай, Боб. Алиса уже подняла вопрос о силовом вакууме! Мы с этим закончили !

Мораль этой истории в том, что вы звучите гораздо более убедительно, а ваши оппоненты - менее убедительны, если вы сами выдвигаете возможные контраргументы. Это верно независимо от того, насколько эффективны ваши контраргументы.

Также есть преимущество в видимости. Предположим, Алиса разместила свой аргумент в своем блоге. Боб цитирует ее и выкладывает контраргумент в своем блоге. Возможно, читатели блога Боба не будут читать блог Алисы, где они смогут увидеть ее контраргумент. Может быть, они даже не читают комментарии блога Боба. Если Алиса обратилась к очевидным контраргументам в своем первом посте, Боб был лишен возможности вести блог о них отдельно или, по крайней мере, потерял свои низко висящие плоды и вынужден тянуться дальше, прежде чем он найдет то, о чем он может поговорить. И если он процитирует Алису, все контраргументы против его точки зрения будут тут же для его читателей.

Это не просто хорошая риторическая практика, это хорошая эпистемическая практика. Множество аргументов в Интернете - это одни и те же десять или двадцать вопросов, раз за разом пересматриваемых раз за разом. Если вы выступаете за контроль над огнестрельным оружием, у вас нет оправдания, чтобы не осознавать, что кто-то поднимет вопрос: «Но разве оружие не спасает жизни, помогая людям в самообороне?». И в самом деле, если вы спорите в пользу контроля над огнестрельным оружием, то лучше была бы долго и трудно себе о том или нет ружей спасти жизни людей через самооборону. Если вы никогда не задумывались об этом, вам нечего высказывать свое мнение. Но если у вас естьрассмотрев и отвергнув это, вы могли бы с таким же успехом провести аудиторию через свой мыслительный процесс сейчас (и звучать более убедительно) сейчас, а не ждать, пока какой-нибудь сторонник оружия поднимет это (и вас застигнут врасплох, как Алиса во втором примере ).

Логическим завершением этого процесса является то, что вы рассматриваете все аргументы, контраргументы и контраргументы в той сфере, которую вы освещаете, никто не может с вами не согласиться, и вы, очевидно, правы. Иногда для этого требуется много текста, но лучше длинный аргумент, который будет точным и убедительным, чем короткий резкий аргумент, который может быть неправильным или неубедительным. Кроме того, к этому моменту вы усвоили все эти другие советы и, надеюсь, пишете увлекательно, чтобы ваши читатели захотели продолжать, независимо от того, сколько уровней встречных возражений вы им навязываете.

(Другой вариант здесь - просто поместить этот материал в сноски и позволить вашим читателям решить, проходить ли их через них. Очень приятно ответить на чье-то глупое возражение словами: «На самом деле, я думаю, вы обнаружите, что я опроверг это в сноске 17». . »)

Есть специальный вариант, который вам нужен, когда вы находитесь в кишащих акулами водах, обсуждая очень противоречивые вещи с очень враждебными людьми. Здесь «контраргумент» примет форму попытки разрушить вашу репутацию, используя один из ваших комментариев, вырванных из контекста, чтобы доказать, что вы плохой человек с бессовестными убеждениями, которых никогда не следует слушать.

Например, предположим, что я пытаюсь объяснить какое-то социальное явление и упоминаю, что богатые люди получают в школе лучшие оценки, чем бедные. Враждебный оппонент мог обвинить меня в создании глупого стереотипа и утверждении, что все богатые люди лучше всех бедных; тогда он мог снисходительно «поправить» меня, сказав, что на самом деле внутриклассовые различия больше, чем межклассовые. Или могу сказать, что мне нужно понять, что школьные оценки - не единственное, что есть гораздо более важные факторы, определяющие ценность людей как человека. Или он может обвинить меня в том, что я социал-дарвинист, и «поправить» меня, сказав, что, возможно, это из-за стресса бедности.

На самом деле я ничего из этого не говорил и не имел в виду. Но если кто-то обвиняет меня в них, и я вынужден сослаться на то, что я действительно не имел в виду этого, честно, тогда они могут удвоить свою лепту и сказать, что мои протесты о невиновности являются верным признаком моей вины. Независимо от того, добьются они успеха или нет, я занимаю оборонительную позицию. Мы перешли от обсуждения того, что я хотел сказать в первую очередь, к обсуждению того, является ли Скотт социал-дарвинистом в монокле, который считает, что все бедняки заслуживают голодания на улице.

Решение действительно простое: предвидеть и снимать контраргументы . Если бы я хотел указать класс / оценки, это выглядело бы примерно так:

Согласно [исследованию], учащиеся из семей, зарабатывающих более 100 000 долларов, имеют средний средний балл X старшей школы выше, чем ученики из семей, зарабатывающих менее 20 000 долларов. Очевидно, это не означает, что все богатые люди преуспевают лучше, чем все бедные, и не исключает таких причин, как стресс от бедности, вредит человеческому мозгу. Но это предлагает возможное объяснение [того явления, которое я пытался использовать для объяснения].

Связанное примечание: говоря о спорных вещах потенциально враждебной аудитории, просмотрите каждое предложение своей работы и представьте, как бы оно звучало, если бы оно было процитировано вне контекста и использовалось как краткое изложение того, кем вы являетесь как человек. Если вы этого не сделаете, рано или поздно кто-нибудь попробует это сделать, и вы окажетесь неподготовленными.

9. Используйте сильные концептуальные ручки.

Идея дескрипторов концептов сама по себе является дескрипторами концептов; это запоминающаяся фраза, которая резюмирует сложную тему.

Элиэзер Юдковски действительно хорош в этом . « Вера в веру «, « смысловые stopsigns «, « аплодисменты огни «, « хулиганство Паскаля «, « адаптация-исполнители против фитнес-максимайзеров «, « обращенного глупостью против интеллекта «, „ радость в только реальное “ - все это интересные идеи, но, что более важно, это интересные идеи с короткими запоминающимися названиями, которые всем известны, поэтому мы можем легко о них поговорить.

Я очень сознательно пытался подражать этому, когда говорил о таких идеях, как тривиальные неудобства , мета-противоположность , токсоплазма и Молох .

Я бы пошел еще дальше и сказал, что это одна из самых важных вещей, которые может сделать такой блог. Я вряд ли открою для себя какое-то совершенно новое социальное явление, о котором раньше никто не думал. Но есть много вещей, о которых люди имеют смутные туманные представления, которые они не могут выразить словами. Превратить их в кристально чистые идеи, которыми они могут манипулировать и обсуждать с другими, - это большое дело.

Если вы придумываете что-то интересное и очень кратко вбиваете это в чью-нибудь голову, не тратьте это зря! Дайте ему красивую концепцию-дескриптор, чтобы они запомнили его и могли использовать для решения других проблем!

10. Осознайте, что применение этих правил, вероятно, приведет к катастрофическим последствиям.

Практически во всех навыках существует закономерность, когда люди начинают делать что-то наполовину, но иногда с небольшим талантом. Эксперты учат их правильному способу действий, и они переключаются на то, чтобы делать это неестественно шаблонным способом, который заставляет всех остальных съеживаться. Со временем они становятся все лучше и лучше. Наконец, они делают вещи, которые полностью противоречат правилам, которым их учили, и это прекрасно работает. Я думаю, что это было в контексте поэзии, когда кто-то сказал: «Сначала выучите правила, а потом вы сможете их нарушать сколько угодно».

Нетренированное естественное письмо часто плохо, но, по крайней мере, честно говоря, плохо. Необученное письмо, которое пытается заставить себя что-то сделать, потому что кто-то сказал им, что это хорошая идея, намного хуже . Вспомните старую пословицу: «Если вы произносите речь, начните с шутки». Это отличный совет, если все сделано правильно. А теперь представьте, как все может пойти не так: ужасные шутки, неуместные шутки, надуманные шутки, речи, которые абсолютно не должны начинаться с шуток, и так далее. Речь, которая не начинается с шутки, часто бывает хорошей; речь, которая не должна начинаться с шутки, но ее никогда не заставляют. В конце концов вы кричите: «Используйте свои инстинкты!» у людей, у которых фактически нет инстинктов.

Неправильно воспользуйтесь советом в этом посте, и вы в конечном итоге превратите знаменитую цитату из Декларации независимости в нечто вроде:

Хотя мы согласны с тем, что король Георг обладает многими хорошими качествами, мы, тем не менее, считаем эти истины более или менее самоочевидными. Истина номер один, что все люди созданы равными. Например, им всем должно быть предоставлено равное право свободно говорить о таких важных вопросах, как налоги. Возможно, что в некоторых случаях они не должны быть равными, например, у детей меньше прав, чем у взрослых, но это лишь незначительные исключения. [вставить сюда изображение Колокола Свободы] Истина номер два, что они наделены своим Создателем определенными неотъемлемыми правами ...

Практически единственный хороший совет в любой дисциплине - «развивайте инстинкты, а затем используйте их». Пока вы ждете, пока у вас разовьются инстинкты, или чтобы подтолкнуть их вперед, иногда полезно прислушаться к советам других людей. Но сделай. нет. сила. это .

Джордж Оруэлл закончил свой собственный список писательских советов словами «Лучше нарушите любое из этих правил, чем скажите что-нибудь откровенно варварское». Как обычно, прав Джордж Оруэлл.
Когда вы пишете новую заметку, добавьте её к одному или нескольким ''наброскам'', которые вы поддерживаете, создавая при необходимости новую. Естественно, появятся существенно полные письменные проекты.

Обычно мы начинаем набросок, когда начинаем писательский проект. Это заставляет нас начать с пустой страницы. Напротив, если мы будем писать новые заметки каждый день и заметим, как они связаны друг с другом, они могут накапливаться в потенциальных проектах по написанию. Когда контур кажется «спелым», мы можем вырвать его и превратить в рукопись без прилагающих геркулесовых усилий по запуску, которые поставляются с пустой страницей.

Поддержание уже написанных заметок в наброске сравнительно легко: просто посмотрите на пару заметок и спросите: что из них стоит первым?

Кроме того, чтобы начать письменный проект с пустым планом, нам нужно иметь в виду тему и некоторый угол зрения. Мы можем  [[Используйте заметки, чтобы избежать предвзятых выводов]].

### References
Ahrens, S. (2017). *How to Take Smart Notes: One Simple Technique to Boost Writing, Learning and Thinking – for Students, Academics and Nonfiction Book Writers*.
Развитие аргументов и идей снизу вверх, а не сверху вниз - это первый и самый важный шаг к открытию для понимания.

Стивен Джонсон, написавший проницательную книгу о том, как люди в науке и вообще придумывают новые подлинные идеи, называет это «медленным догадыванием». В качестве предварительного условия для использования этой интуиции он подчеркивает важность экспериментальных пространств, где идеи могут свободно смешиваться (Johnson 2011). Лаборатория с непредубежденными коллегами может быть таким пространством, как интеллектуалы и художники свободно обсуждали идеи в кафе старого Парижа. Я бы добавил ящик как такое пространство, в котором идеи могут свободно смешиваться, чтобы они могли рожать новые.

«Когда я застреваю на мгновение, я оставляю его и занимаюсь чем-то другим». Когда Луманна спросили, что еще он делал, когда застрял, он ответил: «Ну, писал другие книги. Я всегда работаю над разными рукописями одновременно. Используя этот метод, чтобы работать над разными вещами одновременно, я никогда не сталкиваюсь с какими-либо умственными блокировками».

[[Как написать книгу - даже не пытаясь (так сильно). Метод Zettelkasten|https://zettelkasten.de/posts/write-book-without-even-trying-so-hard/]]

Когда я создаю Zettel, я ищу в папке схему, в которой можно было бы использовать этот Zettel. Если в моей папке нет подходящего плана, я создаю его.

Теперь я вижу, что статьи, книги и другие писательские проекты возникают как следствие того, что я читаю тексты и создаю Зеттели без какого-либо конкретного намерения при этом.

Упомянутая мною книга по письму возникла таким же образом. Я работаю над книгой по питанию, поэтому я решил изучить, как написать книгу и как писать в целом. Каждая записка, которую я превратил в Zettel, нашла свое место в схеме. Через некоторое время я удовлетворил свою потребность в чтении по этой теме. Когда я взглянул на план, я понял, что у меня уже есть заметки на книгу. Я заменил идентификаторы содержимым Zettels. Вуаля. Рукопись была готова.


Pirsig, R. M. (1991). *Lila: an inquiry into morals*. New York: Bantam Books.
Вместо того, чтобы спрашивать, где начинается эта метафизика вселенной? - что было практически невыполнимым вопросом - все, что ему нужно было сделать, это просто показать два бланка (slip)  и спросить: что будет первым? Это было легко, и казалось, что он всегда получает ответ. Затем он брал третий бланк, сравнивал его с первым и снова спрашивал: что будет первым? Если новый бланк появлялся после первого, он сравнивал его со вторым. Потом у него была организация из трех человек. Он продолжал повторять этот процесс снова и снова.

[[[Create speculative outlines while you write]|https://notes.andymatuschak.org/z2uXyfV67dnWLUKg1iDbsrHk3DGjtNWTxSTah]]
Люди, делающие [[Инструменты для размышления]], часто говорят, что пытаются помочь людям делать математику, делать искусство или что-то в этом роде. Но на самом деле люди, создающие эти инструменты, редко очень глубоко связаны с фактическими творческими практиками, которые они пытаются усилить. Работа часто больше похож на технологическую демонстрацию, игрушку или «песочницу». Как мы писали в *разделе Как мы можем разработать преобразующие инструменты для мышления?*: «Инструменты для письма, которые не используются реальными писателями. Инструменты для математики, которые не используются фактическими математиками». В глубине души такие системные дизайнеры, как правило, //разрабатывают систему ради нее самих//, а не потому, что есть какая-то творческая проблема, которую они отчаянно пытаются решить.

Такие инструменты могут выглядеть математическими (или что-то в этом роде) на их поверхности, но они не пытаются серьезно ответить на сложные проблемы в этих областях - часто потому, что создатели на самом деле не знают, что это за проблемы, или не понимают, как их решить. [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]].

Стартапы и технологи часто обманывают себя, работая и разговаривая с ранними пользователями, которые в основном заинтересованы в игре с новыми технологиями. Но это не просто проблема «технологической индустрии»: академические производители инструментов, как правило, оценивают свои системы в искусственных условиях с искусственными данными по критериям искусственной проверки.
Трудно решить эту проблему:  [[Великие производители инструментов часто не являются отличными пользователями инструментов, и наоборот]].

!!!References

Матушак, А. и Нильсен, М. (2019, 0 октября). [[Как мы можем разработать преобразующие инструменты для мышления?|https://numinous.productions/ttft](https://numinous.productions/ttft]]
Приятно быть дисциплинированным и амбициозным, но еще лучше иметь смекалку. Сообразительность - это вдохновенное, активное чувство к деятельности, которое больше не требует силы воли или уверенности.

Сообразительность легко приходит, когда деятельность преследует по сути значимые цели. Его легко лишить чепухи. Связано: [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]].

!!!References

Pirsig, R. (1979). Zen and the art of motorcycle maintenance: An inquiry into values.* New York: Morrow.
[[Глубокое сотрудничество между производителями и пользователями инструментов может способствовать пониманию посредством создания]] и, поскольку пользователь инструмента серьезно используется в этом сотрудничестве, они, как правило, будут инициаторами творческих проектов пары. Эта первоначальная концепция часто является результатом получастных усилий. Разделение ответственности пары естественным образом сосредоточит внимание пользователя на работе над творческим проектом, а не на оставшихся без ответа вопросах в инструментах. По мере того, как пользователь инструмента возится с идеями, которые могут стать новыми творческими проектами, он в основном будет включать инструменты, которые в большинстве своем уже «в пределах досягаемости».

Так что, если пара надеется исследовать какую-то идею в области инструментов в рамках серьезного творческого проекта, эта идея должна быть уже конкретной и доступной, когда пользователь инструмента замышляет следующий проект. Пара должна проактивно разработать арсенал идей об инструментах (как зародышевых, так и зрелых), чтобы вооружить пользователя инструментами исследования

Идеи инструментов в арсенале не обязательно должны быть работающими программами. Они просто должны быть достаточно прочными, чтобы стоять на ногах - достаточно хорошо понимать, чтобы пользователь инструмента мог возиться с ними в новых творческих проектах. Например, когда Майкл приступил к работе над Quantum Country, программа представляла собой лишь начальный набросок: важно было то, что он достаточно хорошо понимал форму идеи, чтобы представить книгу, в которой она эффективно реализована. Рисуя книгу, можно было (какое-то время) просто написать: «Вопрос: сколько измерений имеет векторное пространство кубита?» в тексте. Основная идея мнемонической среды уже была «в арсенале».

Оружейная палата имеет важное значение для взаимоотношений пары и разделения труда. Создатель инструментов не придумывает творческие проекты, поэтому, если есть идея, которую он считает многообещающей, он должен довести ее до такой степени, что идея инструмента находится «в арсенале», чтобы затем вдохновить на будущие творческие проекты. С другой стороны, пользователь инструмента в основном не разрабатывает идеи инструмента, поэтому, если его поразила идея инструмента - но эта идея еще не достаточно прочна, чтобы быть «в арсенале» - он должен иметь возможность опереться на инструмент - создатель, чтобы стимулировать развитие идеи до тех пор, пока она не будет готова для склада оружия.

В обоих случаях пара должна разработать идеи для арсенала без гарантии, что они обязательно будут использованы в будущем проекте. Попасть в арсенал - это лишь необходимое (но не достаточное) условие для использования в серьезном творческом проекте.

Концепция арсенала в основном полезна в контексте многократного сотрудничества, особенно в рамках отдельных проектов (т.е. [[Сотрудничество между производителями инструментов и пользователями инструментов лучше всего повторяется через последовательность различных проектов]]).
[[Глубокое сотрудничество между производителями и пользователями инструментов может способствовать пониманию посредством создания]], но одним из практических препятствий для работы пользователя инструментов является то, что  [[Трудно поддерживать эмоциональную связь с творческим проектом во время задержек и перерывов]]. 

Пара может многое узнать об идеях своих инструментов, поскольку пользователь инструмента применяет их в серьезных творческих проектах, но каждый проект имеет ограниченные возможности для повторения.

Чтобы понять, почему, представьте, что пользователь инструмента написал первый черновик книги. Уроки из этого черновика подсказывают новые итерации идей пары инструментов. Хотя пользователь инструмента может быть очень заинтересован в этих исследованиях, он, скорее всего, не заинтересован в полном переписывании книги с использованием новой версии инструмента. Инструмент может немного развиваться - особенно на ранних этапах процесса разработки, - но он быстро выходит за рамки предела сообразительности.

Эта задача предполагает, что пара создатель инструмента / инструмент-пользователь может лучше всего развивать свои творения через последовательность творческих проектов. Инструменты, задействованные в каждом творческом проекте, могут развиваться только в ограниченном количестве в течение этого проекта, поэтому границы инструментария каждого проекта в значительной степени определяются состоянием инструментов в начале проекта.

Существует противоречие по поводу размера проектов в последовательности. Меньшие проекты будут поддерживать более радикальные итерации в инструментах - более высокую «скорость обучения», если хотите. Но небольшие проекты могут быть недостаточно серьезными для разработки идей инструментов [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]]. В идеале, я полагаю, пара занимается самыми маленькими, достаточно серьезными проектами, какие только могут.
Социальная норма это не то, что делают все, а то, отклонение от чего вы будете скрывать. Когда социальная норма закрепляется, то несоблюдение её вы будете скрывать от окружающих. Более того, соблюдение её вы будете имитировать, иначе вы будете подвергаться осуждению, а в крайнем случай - остракизму.
Спортсмены высшего уровня фанатично дисциплинированы в отношении улучшения своих базовых навыков - навыков, которые выходят за рамки любого вида спорта, тех же упражнений по ловкости, которые вы можете увидеть новобранцем армии. Музыканты высшего уровня делают то же самое: Ланг Ланг, например, все еще работает над своими навыками после 30 лет концертного пианиста. Они не просто делают rote drill: они работают над критическим улучшением этих навыков, разглядывая видео с производительностью и работая с тренерами.

Для сравнения,  [[Работа со знаниями редко включает в себя преднамеренную практику]] . Работники знаний кажутся удивительно несерьезными в отношении оттачивания фундаментальных навыков, таких как чтение ( [[Кажется, что люди забывают большую часть того, что читают, и в большинстве случаев не замечают]]), ведения заметок (а мы знаем, что [[Практика написания заметок у людей, как правило, неэффективна]]), разработки идей с течением времени ([[У работников интеллектуальной сферы обычно нет специальных методов для развития идей с течением времени]]. 

[[Основные практики в работе с знаниями часто являются ad-hoc]], и работники, занимающиеся знаниями, как правило, не проводят серьезную программу совершенствования этих основных навыков. Я подозреваю, что это в значительной степени потому, что возможность улучшения не существенна: [[Значимость улучшения способствует развитию навыков]].

Что может означать для информационных работников фанатично преследовать виртуозность в этих фундаментальных навыках, как спортсмены ищут свои фундаментальные навыки?
В некоторых средах основные виды деятельности в основном активны; большая часть опыта в значительной степени создается благодаря усилиям участников. Я называю это средой участия.

Среда участия может быть создана преднамеренно, а может и не быть. Медиа-среды почти всегда создаются намеренно, но многие социальные и природные среды - нет. Часть опыта в созданной среде участия может быть [[Реализованный опыт]]

[[Среда участия поддерживает обучение]]

!!!Примеры и контрпримеры
Игры в основном всегда создают среду участия. Пер Ланц (2019): «Игры - это эстетическая среда действия». Но наблюдение за тем, как кто-то другой играет в игру на Twitch, часто не создает атмосферы участия.

Книги и фильмы обычно не создают среды участия. Основная деятельность среды, создаваемой этими средствами массовой информации, обычно является восприимчивой и пассивной для большинства участников. Но существуют контрпримеры: Make Magazine; Drawing on the Right Side of the Brain; видео тренировок; и т.д.

Обед - это, как правило, коллективная среда. Стена для скалолазания (естественная или искусственная) - это среда, в которой участвует. Ехать в метро вообще нет.

Большинство программных интерфейсов создают среду участия. Один общий класс контрпримеров - медиаплееры: VLC, Pandora, Kindle и т. Д. Это программное обеспечение просто представляет медиа, которые сами по себе не создают среду участия.

Несмотря на их стремления, большинство исследуемых и [[Исполняемые книги]] не создают среды участия. По умолчанию участник прокручивает и читает.

!!!Заявление об ограничении ответственности / заявитель
Этот термин в значительной степени пересекается с предшествующими концепциями в образовании, когнитивной науке и социологии, такими как «активная среда обучения», «воплощенный опыт», «ситуативное познание» и т. Д., Но я пытаюсь выйти за рамки этих контекстов и избежать багажа этих терминов, поэтому я намеренно создаю новый термин.
[[Понимание требует активного вовлечения]]. Один из способов поддержать эти усилия - создать [[Среда участия]], деятельность которой естественным образом приводит к такому активному взаимодействию. Например, художественный лагерь может включать в себя много занятий по рисованию и рисованию, которые могут потребовать усилий от теории цвета.

Напротив, среда без участия, такая как книги, часто задействуется пассивно. Большинство читателей не проявляют особого интереса, поэтому они не придают значения.

!!!References

Matuschak, A. (2019). Why books don’t work. Retrieved from https://andymatuschak.org/books
Книги, видео и другие типичные средства массовой информации сами по себе не являются примерами [[Среда участия]], но они также обычно не способствуют внешнему участию вне контекста этих средств массовой информации. Это еще один способ сказать, что им обычно не удается создать [[Благоприятная (стимулирующая) среда]].

Существует серьезное несоответствие между опытом потребления информационных средств массовой информации и опытом работы с ними. Отчасти это временная проблема: материал должен выходить за пределы ограниченного периода времени, в котором вы его читаете (в средствах массовой информации в большинстве случаев отсутствует авторское временное измерение, превышающее день). Но здесь также есть проблема контекста.

МООК пытаются решить эту проблему, но в основном терпят неудачу. Стоит подробнее задуматься о том, почему.

Одно из возможных решений заключается в том, что «Реализованный опыт» обладает невероятным потенциалом в качестве средства массовой информации. Наверное, есть и другие.

!!!Рекомендации
[[Предисловие Элизара Юдковски к Rationality A-Z|https://www.lesswrong.com/rationality/preface]]

::…Первая - самая большая ошибка в моем письме… заключалась в том, что я не осознавал, что большая проблема в изучении этого ценного способа мышления заключалась в том, чтобы выяснить, как его применять на практике, не зная теории. Я не понимал, что эта часть была приоритетной; и по этому поводу я могу сказать только «Oops» и «Duh».

"""
Q. Что Элизе Юдковски считает самой большой ошибкой, которую он совершил, ведя блог на Less Wrong?
A. Сосредоточение внимания на теории, а не на практике.:
"""
Кинематографисты, композиторы и драматурги тщательно определяют временное измерение своих произведений. Беременная пауза, затяжной конфликт и акселерато ощущаются так же, как и они, из-за того, как зрители переживают их с течением времени. Эти медиумы выражают развивающийся в течение нескольких часов опыт - но как насчет дней, месяцев, лет? Культурные учреждения часто создают свой опыт в этих временных масштабах (например, многолетние религиозные ритуалы совершеннолетия), но средства массовой информации редко это делают. Это досадное ограничение: средства массовой информации дают авторам огромный охват. (см. также [[Реализованный опыт трудно распространять]]).

Эту перспективу я называю [[Своевременный текст]].

!!!Книги имеют более длительное измерение времени, но, как правило, не авторское

На чтение книг часто уходят недели или месяцы. Но книги почти никогда не имеют такого авторского измерения времени, как фильмы или пьесы. Дни, недели и месяцы обычно не указываются автором так, как протоколы - режиссером. Многие идеи требуют времени, чтобы осознать: если оставить в стороне [[Эффект интервала]], люди должны взаимодействовать с ними во многих случаях, прежде чем их реальный смысл станет ясен.

Рассмотрим настоящие отношения между экспертом и учеником. Эксперт может представить идею, а затем наблюдать, как она расцветает в ученике в течение последующих недель, возможно, ссылаясь на нее несколько раз различными способами, чтобы подтолкнуть ее к развитию. Затем, когда у ученика будет достаточно времени, чтобы полностью усвоить идею, эксперт может представить некоторые последствия этой идеи в то время, когда она окажет наибольшее влияние. Речь идет не только о проблемах, описанных в [Большинство пояснительных СМИ», заставляющих участников запускать свои собственные циклы обратной связи]: эксперт курирует временную составляющую опыта ученика.

Напротив, если автор хочет представить как идею, так и некоторые нюансы этой идеи, эти точки могут быть разделены только страницами в корешке книги. Иногда авторы будут писать заметки типа «не читайте эту главу, пока…», но этот подход, очевидно, весьма ограничен.

!!!Совместные MOOC вводят более длительное измерение времени, но в значительной степени не авторское

Некоторые МООК начинаются в определенное время, собирая студентов в когорты, которые вместе проходят учебную программу. Если курс включает компоненты совместного обучения, общие сроки могут существенно повлиять на опыт студентов. Но, насколько я видел, дизайнеры MOOC не тщательно продумывают, как этот опыт разворачивается в течение недель и месяцев: они собирают группу людей, а затем заставляют их делать в основном независимые от времени вещи вместе в течение некоторого периода времени.

Учебные материалы MOOC часто «открываются» со временем, но они не имеют существенного взаимодействия с этой временной шкалой. Обычно это больше похоже на то, как если бы автор написал целую книгу, но позже издатель решил сериализовать ее, рассылая подписчикам по главам для их удобства. Конечно, со временем есть опыт, но нет никакого авторского замысла. Такое расположение оставляет многое на столе.

!!!Курс медитации Аро написан в средствах массовой информации, имеет многомесячное авторское временное измерение

Противоположностью этому Ринпоче и Дэвид Чепмен считают [[курс медитации ARO|https://aromeditation.org/]]. Это последовательность из 18+ писем, одно автоматически отправляется каждую неделю после регистрации. Но электронные письма написаны не как материалы MOOC: прошедшие недели тщательно вплетены в каждое письмо. Они возвращаются по спирали назад, возвращаясь к более ранним идеям, чтобы освежить память по прошествии нескольких недель. Они намеренно оставляют место для концепций, прежде чем вернуться через несколько недель. Они полагаются на растущее доверие читателя, которым должен обладать, например, любой, кто все еще читает в течение трех месяцев. Эта серия электронных писем, какими бы простыми они ни были, кажется гораздо более глубокой эволюцией по сравнению с книгами, чем МООК по сравнению с традиционными курсами.

!!!Игры часто имеют более длительное авторское измерение времени

В играх с высокой ценностью воспроизведения явно указаны секунды, минуты, час, день и месяц + временные рамки. Казуальные игры, такие как Bejeweled, гарантируют, что новые игроки мгновенно добьются успеха. Они выйдут на качественно иной «уровень» игры в часовом масштабе. Они привнесут ощущение прогресса в течение нескольких дней, чтобы игроки возвращались каждый день. И они будут добавлять редкие предметы коллекционирования, мета-игры и продвинутые цели, чтобы опыт развивался в течение нескольких месяцев.

Точно так же MOOG, такие как World of Warcraft, тщательно регулируют стимулы и среду игроков, чтобы создать ощущение постоянно расширяющегося горизонта в течение многих месяцев. Элементы дизайна не о чистом количестве часов: они больше о том, как характер игровой сессии меняется от недели к неделе.

На прохождение некоторых однопользовательских повествовательных игр уходит от 50 до 100 часов, но к ним относятся во многом как к фильмам: опыт не имеет смысла в том, что для игрока могут проходить дни или недели.

В этом отношении игры необычны: [[В динамических средах обычно отсутствует авторское измерение времени]] .

Интересно: [[Мнемоническая среда может быть адаптирована для создания опыта, который разворачивается во времени]].
[[Ящики входящих работают только в том случае, если вы доверяете тому, как они очищаются.]], и [[нулевой ящик «Входящие»|http://www.43folders.com/izero]] - один из подходов к этому. Это сокращает время ожидания отправлений (теоретически до одного дня) за счет агрессивного увеличения скорости отправления.

В своей книге «Как сделать все» Дэвид Аллен предлагает увеличить скорость отправления очереди, стратегически откладывая, делегируя или отбрасывая задачи. «Inbox Zero» - разработка Мерлина Манна. Это гарантирует, что вы достаточно увеличиваете частоту отправлений , обрабатывая весь почтовый ящик до нуля каждый день. Это грубый подход, но он гарантирует, что скорость вылета всегда превышает скорость прибытия.

!!!Вызовы

Вы должны принять решение по каждому элементу в вашем почтовом ящике. Это значительная стоимость, и ее будет иметь смысл платить только тогда, когда почтовые ящики относительно малы.

Явная отсрочка задачи накладывает эмоциональные издержки, возможно, излишне: «нулевой почтовый ящик» необходим только в том случае, если скорость поступления всегда превышает частоту отправлений. Если частота прибытия варьируется и иногда оказывается ниже скорости отправления, вы все равно можете справиться со всем в разумные сроки.

Явно отбросить задачу сложно, потому что [[Программные интерфейсы часто представляют разрушительные операции как окончательные решения, а не как случайные предпочтения]].

С практической точки зрения, Inbox Zero обычно приводит к "онемению" откладывания: слишком легко выполнять задачу снова и снова. Аллен предлагает периодически выполнять рефлексивную проверку, чтобы пересмотреть задачи, которые постоянно откладываются, но эти проверки требуют еще большего количества решений. Соблюдение режима снижается.

При такой обработке почтового ящика возникает необходимость просто выполнять больше этих задач, что может быть не тем, что вам на самом деле нужно.

!!!Возможности

Более идеальный механизм обеспечит приемлемое время ожидания, но время цикла не обязательно должно составлять один день. Мы также должны учитывать количество решений, которые необходимо принять. Я бы предпочел принимать меньше решений, но терплю более длительное среднее время ожидания.

Один из возможных примеров: [[Интервальное повторение может снизить ставки в отношении разрушительных операций по обслуживанию почтового ящика]].

---

!!!References

Allen, D. (2015). Getting Things Done: The Art of Stress-Free Productivity.
43 Folders Series: Inbox Zero | 43 Folders

Matuschak, A. (2019, December). Taking knowledge work seriously. Presented at the Stripe Convergence, San Francisco.
Хотя заметки в [[§Система интервального повторения]]  являются атомарными так же, как и [[Вечнозеленые заметки]] ([[Вечнозеленые заметки должны быть атомарными]]), они во многих отношениях слишком атомизированы ([[Традиционные подсказки для интервального повторения - атомизированы]]). Форма препятствует инкрементному синтезу и дистилляции.

Вопросы плавают в недифференцированном тумане, отделенные от любого внутренне значимого контекста и не связанные с соответствующими соседями ([[Вечнозеленые заметки должны быть тесно связаны]]), и не предназначены специально для доступа, кроме как в рамках обзора. Они не должны быть прочными растущими единицами; они предназначены быть одноразовыми обломками. Все это могло бы быть хорошо, если бы у них была четкая связь с отдельной системой для [[Вечнозеленые заметки]], но это не так.

К счастью: мнемоническая среда может быть расширена до личных заметок.

---

!!!References

Nielsen, M. (2018). [[Augmenting Long-term Memory|http://augmentingcognition.com/ltm.html]] 

::Я начинаю выявлять открытые проблемы, вопросы, на которые лично я хотел бы получить ответы, но на которые, похоже, еще нет ответа. Я выявляю уловки и наблюдения, которые кажутся чреватыми возможными, но значение которых я еще не осознаю. И иногда я выявляю то, что мне кажется слепыми пятнами всего поля. Я также добавляю вопросы обо всем этом в Anki. Таким образом, Anki является средством поддержки моих творческих поисков. У него есть некоторые недостатки как у такого носителя, поскольку он не предназначен для поддержки творческой работы - например, он не приспособлен для длительных исследований в свободной форме внутри пустого пространства.
Когда я глубоко занимаюсь разработкой программного обеспечения, ежедневно достигая потока, мой разум сужается до своего рода туннельного видения, полностью зацикленного на программных системах и их проблемах. Это классическая проблема дизайна (Купер, 2004): из инженеров обычно получаются плохие дизайнеры, потому что они сосредотачиваются на своем программном обеспечении и его крайних случаях, а не на реальной человеческой проблеме, которую нужно решить. Это также практически беспокоит исследователей [[Ментальное состояние глубокой разработки программного обеспечения и глубокого исследовательского мышления являются взаимоисключающими]].
Но на личном уровне я нахожу этот эффект все более неприятным. Когда я нахожусь в этом состоянии, я чувствую, что мое чувство себя сокращается. Я теряю рефлексию. Творческие мысли перестают возникать. Мне сложно писать. И так далее.

Я не совсем понимаю, что с этим делать. Я могу избежать этого эффекта, если буду тратить меньше времени на разработку в день, но тогда будет сложно набрать обороты [[высокая стоимость переключения между разработкой программного обеспечения и исследовательским мышлением). Когда я занимался инженерией, меня это не особо беспокоило. Так что, возможно, серьезную инженерную работу лучше оставить людям, которые не против этого эффекта.

Дэвид Чепмен  [[предполагает|https://twitter.com/Meaningness/status/131766397138661376]], что  это может быть отчасти потому, что:

::Я полагаю, что в рутинном программировании человек не добавляет ничего от себя, а просто выясняет, чего требуют утомительные требования склеивания API; все это сфокусировано. В то время как в творческой работе, даже когда вы погружены в нее, есть ощущение, что, по крайней мере, материал проходит через вас, а не находится «где-то там» в IDE / server / API_doc, и есть некоторый смысл, что даже когда материал имеет универсальное качество, поэтому «я» не создаю его, тем не менее, поскольку он проходит «сквозь» меня, и поэтому он будет своеобразным в некотором роде без моего намерения.::

!!!References
Cooper, A. (2004). The Inmates Are Running the Asylum: Why High Tech Products Drive Us Crazy and How to Restore the Sanity (1st Edition). Sams - Pearson Education.
Таксономия (общая) ([[Taxonomy - Wikipedia|https://en.wikipedia.org/wiki/Taxonomy]]) - это практика и наука классификации вещей или концепций, включая принципы, которые лежат в основе такой классификации

Для меня практика написания и редактирования заметок - это, по сути, попытка подняться по следующей грубой лестнице:

* Эфемерные записи в [[Журнал ежедневной работы]]
* Подсказки и неполные заметки в почтовом ящике ([[Почтовый ящик для временных и неполных заметок]]), которые могут стать [[Вечнозеленые заметки]]. Эти подсказки могут накапливаться со временем через интервальное повторение (см. [[Интервальное повторение может быть полезным инструментом для постепенного развития догадок]].

* [[Вечнозеленые заметки]] на все более сложных стадиях развития:
** заглушки, неявно определенные через обратные ссылки ( [[Обратные ссылки могут быть использованы для неявного определения узлов в системах управления знаниями]] ); например [[§Система записи заметок]],  [[Аудиокниги]]
** простые определения терминов искусства, немного добавленных мной; например  [[Диапазон абсолютного суждения]], [[Эффект интервала]]
** [[Примечания моста узко связаны с двумя соседними терминами]]
** точные, узкие декларативные примечания ([[Предпочитайте заголовки заметок с полными фразами, чтобы обострить утверждение]]); например [[Пропускная способность человеческого канала увеличивается с увеличением размерности стимула]]
** иногда они формулируются как вопросы, когда доказательства слишком неубедительны, чтобы их можно было четко сформулировать; например [[В какой степени наследуются исключительные способности?]], [[В какой степени подсказки приложения могут вытеснять подсказки отзыва в мнемонической среде?]]
* API более высокого уровня (названия [[Заголовки вечнозеленых заметок похожи на API]]
** заметки абстрагируются от многих других заметок, например [[Обучающие игры - это обреченный подход к созданию благоприятной среды]],  [[Читать текст на компьютерах неприятно]]
** личные условия искусства, например [[Реализованный опыт]]
* «Примечания к наброску», например [[§ Благоприятная среда, игры и The Primer]] 

!!!Примечания
* «Литературные заметки», названные в честь одной работы и предназначенные в первую очередь как ссылки на другие более долговечные заметки, а также как объекты для обратных ссылок. Я пишу это примерно как «конспектные заметки», за исключением чужих идей. Например:  [[Миллер - Волшебное число семь, плюс или минус два]]
* Точно так же, но реже, у меня также есть «личные заметки» (например, Ананд Агаравала) и «деловые заметки» (например, Confluent).
* Аналогичным образом, но реже, у меня также есть «личные заметки» (например,  Anand Agarawala) и «деловые заметки» (например, [[Confluent]]
	
Эти типы заметок слабо вечнозеленые. Я могу добавлять к ним со временем, но поскольку они не концептуально-ориентированы ([[Вечнозеленые заметки должны быть концептуальными]]), они не так полезны для развития, как вечнозеленые заметки. Нетривиальное написание имен собственных обычно выделяется в отдельные вечнозеленые заметки, которые можно использовать в разных местах.

«Журнальные» записи, в которых накапливаются эфемерные наблюдения о конкретной практике, системе или проекте с течением времени. Они сродни [[Журнал ежедневной работы]], но нарезаны по какой-то интересующей теме, а не по дате, например личная мнемоническая среда. 

Благодаря лучшему включению или поддержке [[Контекстные обратные ссылки]] такие заметки можно было бы записывать непосредственно в ежедневный рабочий журнал, а «журнальные» заметки можно было бы определить как запрос к таким заметкам.

Говоря тактически, я обычно обозначаю «тип» заметки тегом.

Не зацикливайтесь на этом и не формализируйте это слишком сильно. Помните: [[«Лучшее ведение заметок» упускает суть; важно «лучшее мышление»]].
Классическая таксономия учебных задач [[Бенджамин С. Блум]]. В современном виде:

# Помнить
# Понимать
# Применять
# Анализировать
# Оценивать
# Создавать
Теги - это простой способ связать разнородные элементы, но они являются слабосигнальным способом описания отношений.
Все элементы с заданным тегом представлены как связанные… но трудно понять, как это сделать. Это просто перемешанный, неупорядоченный список.

Некоторые из этих элементов более релевантны теме конкретного тега, чем другие, поэтому мы должны [[Предпочитать явные ассоциации предполагаемым ассоциациям]].

Некоторые из этих элементов имеют только несколько предложений, касающихся тега, но тег связан со всем элементом. Мы должны [[Отдавать предпочтение мелкозернистым ассоциациям]] . Соответственно, теги часто довольно расплывчаты или широки. Лучше дать ссылку, чтобы точнее связать идеи.
И иногда было бы очень полезно сказать несколько слов контекста о том, //почему// элемент относится к конкретному тегу. Мы должны [[Предпочитать помеченные ассоциации]].
* [[Что, если бы мнемоническая среда была переработана как средство более глубокого взаимодействия с текстом?]]
* [[Доминирующая культура систем памяти с интервальным повторением зациклена на бессмысленных целях]]
* [[Серьезно относиться к эмоциям]]

[[Kawara]] - очень интересный образец - продукт, ориентированный на вдохновение, друзей и т. д.

Холлис Роббинс отмечает (2020-04-15, 2020-04-17), что веселье и смущение - это мощные обучающие эмоции, которые гораздо более «живы», чем простые механизмы повторения с интервалом. Если на семинаре происходит что-то веселое, вы, скорее всего, запомните подробности вокруг этого довольно долгое время. И, что более буквально (10.09.2020): «Не забывайте о фигурах речи и риторике в целом! Никто не забывает хороший хиазм… »

Бушра Фаруки (2020-07-01):

Опыт как репетиция с интервалом. Я буду продолжать говорить любящие слова по-разному и в разных формах племяннику, чтобы он воспринял их как внутренний голос. Повторяющаяся линия разговора действует как овеществленное воплощенное напоминание, пока не станет частью его когнитивной архитектуры.

Где жизнь, которую мы потеряли в жизни?
Где мудрость, которую мы потеряли в знании?
Где знания, которые мы потеряли в информации? (Элиот, 1963)
Эффективная [[Преднамеренная практика]] предлагает студентам возможности для целенаправленных повторений. Во время бейсбольного матча отбивающий может качаться только дюжину раз, но отбивающий, работающий с опытным тренером, может пытаться сделать сотни подач в день. Еще лучше: все эти поля могут быть разработаны для использования конкретной слабости (Ericsson et al, 1993, с. 368).

Поскольку [[Развитие навыков требует непростого гомеостаза]], неудача должна быть распространена во время преднамеренной практики. Но типичные условия работы и производительности редко терпят высокие показатели сбоев. Пианист не может практиковать свои аппликации, запланировав больше концертов: его быстро выведут с гастрольной трассы.

!!!Ссылки

Эрикссон, К. А., Крампе, Р. Т., и Теш-Рёмер, К. (1993). Роль преднамеренной практики в приобретении экспертной деятельности. *Психологический обзор*, *100*(3), 363. [[Эрикссон и др. - Роль преднамеренной практики в приобретении экспертной деятельности]].
TODO

http://www.csdl.tamu.edu/~shipman/formality-paper/harmful.html

!!!References

См. детальнее статью [[Формальность считается вредной: опыт, новые темы и направления]]

Шипман, FM, и Маршалл, CC (1999). Формальность считается вредной: опыт, новые темы и направления использования формальных представлений в интерактивных системах. Совместная работа с компьютерной поддержкой (CSCW), 8 (4), 333–352. https://doi.org/10.1023/A:1008716330212
Подсказки в [[§Система интервального повторения]] представляют собой неупорядоченный, неструктурированный набор. Каждая подсказка намеренно достаточно мелкозернистая и элементарная, поскольку именно это, по-видимому, лучше всего работает для эффективного запоминания. Но это отсутствие структуры создает ощущение блуждания по лесу, когда вы можете видеть только один лист за раз.

В некоторых областях уместен этот тип распыления. Например, если вы изучаете хирагану или большой набор слов на иностранном языке, структура между подсказками может быть не очень значимой - вам действительно нужно запомнить огромный мешок атомов.

Но в других областях - скажем, в физике или математике - атомы имеют значение только как часть более широкой структуры. Когда подсказки в этих областях работают хорошо, я подозреваю, что это потому, что они держатся на какой-то невидимой, более широкой структуре, которая уже находится в голове рецензента. 

::Todo [[Когнитивный каркас]]? Или когнитивная архитектура?

Эта атомизация является основной причиной того, что [[Подсказки для интервального повторения сами по себе являются плохим средством коммуникации]] . Это также ограничивает их пригодность для долгосрочных личных заметок: [[Существующие системы интервального повторения препятствуют использованию вечнозеленых заметок]].
В Википедии вы можете включать подраздел одной статьи в другой. В Xanadu вы можете включать произвольные текстовые блоки в другой документ. В Roam вы можете включать поддеревья в другие поддеревья. Выразительная способность трансляции во многом зависит от того, насколько составными являются трансформируемые объекты.

Во всех приведенных выше примерах рассматриваемые объекты не особенно компонуемы! Произвольные абзацы в прозе не могут эффективно использоваться в нескольких местах: хорошая проза зависит от сюжета, повествования, контекста. Перевод текста почти всегда несвязный. Я боюсь, что большинство системных дизайнеров, которым понравился этот подход, влюблены в идею о технологиях, а не в идею письма или общения.

«Компоненты» Figma - интересный пример того, где что-то вроде включения работает намного лучше. Визуальные элементы часто можно переориентировать в нескольких связанных контекстах, особенно когда они частично параметризуемы.

"""
Q. Как выглядит хорошо работающая операция включения?
A. Компоненты дизайна Figma

Q. Почему включение текста часто приводит к несвязному письму?
A. Произвольные предложения, абзацы и текстовые диапазоны обычно не пишутся для работы в каком-либо контексте или последовательности. Это не многоразовые блоки - они сильно зависят от предыдущей прозы.
"""
[[Транклюзия ограничена компоновкой модели данных]]

Трансклюзия в информатике — включение одного электронного документа или его части в другие электронные документы посредством гипертекстовой ссылки. Трансклюзия обычно подразумевает отображение документа, на который делается ссылка. Документ (запись) отображается автоматически и доступен конечному пользователю. Кажется, что в результате трансклюзии образуется единый сложный документ, в то время как на самом деле его части были оперативно собраны из разных источников, которые могут храниться на разных удаленных друг от друга компьютерах.

С помощью трансклюзии реализуется модульность: ресурс можно собрать один раз, а затем повторно использовать во множестве документов. Тогда обновления и исправления, внесенные в ресурс, будут отображаться и во всех ссылающихся на него документах. Термин предложен Тедом Нельсоном в «нелинейной» книге 1980 года «Литературные машины» (книга составлена таким образом, что её части можно читать не по порядку).
См. также [[Желательные трудности, после Бьорк]]

!!!References

[[Reder, L., & Klatzky, R. L. (1994). Transfer: Training for performance. In D. Druckman & R. A. Bjork (Eds.), Learning, Remembering, Believing: Enhancing Human Performance (pp. 25–56). National Academies Press|https://doi.org/10.17226/2303](https://doi.org/10.17226/2303)]]

[[Бенджамин С. Блум]] (1985) характеризует три важных этапа в развитии юношеских талантов:

# Учащегося знакомят с занятием в приятном, часто игровом контексте. Они могут продемонстрировать «обещание», побуждая родителей дать четкие инструкции.
# Студент приступает к целенаправленной программе совершенствования, участвуя в обучении и практике.
# Студент обязуется изучать эту деятельность на дневном отделении, часто посещая специально для этого академию. На этом этапе студент зарабатывает себе на жизнь профессионально.

Эрикссон и др. (1993) предлагают четвертый этап: когда студент становится профессиональным практикующим, он работает, чтобы внести уникальный вклад в эту область (то есть стать «выдающимся» исполнителем).

"""

Q. В модели развития талантов Блума с чего начинается первая фаза?
A. Учащийся знакомится с заданием в игровой или приятной обстановке.

Q. В модели развития талантов Блума, как студент переходит от первой фазы ко второй?
A. Учащийся решает приступить к явному развитию, то есть через инструкции или практику

Q. Что происходит во второй фазе в модели развития талантов Блума?
A. Студент занимается серьезной практикой и обучением, хотя еще не полностью.

Q. В модели развития талантов Блума, как студент переходит от второй фазы к третьей?
A. Они берут на себя обязательство полностью посвятить себя этой области, обычно вкладывая средства в гораздо более серьезное обучение.

Q. В модели развития талантов Блума, как студент проходит третью фазу?
А. Они становятся профессионалами.
"""

!!!References

Bloom, B. S. (1985). Generalizations about talent development. In B. S. Bloom (Ed.), Developing talent in young people. Ballantine Books.

Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363. [[Эрикссон и др. - Роль преднамеренной практики в приобретении экспертной деятельности]]
Люди считают карточки чем-то тривиальным из школьных дней, поэтому они не относятся к их написанию очень серьезно. Но очень сложно написать хорошие подсказки для [[§Система интервального повторения]]. Например, хорошие подсказки:

* получить доступ к идее с разных сторон
* уловить одну точную мысль (вероятно, отражающую [[«Чанки» в человеческом познании]])
* избегать непреднамеренной двусмысленности
* краткие
* понять, что действительно важно в теме, а не только то, что легко запомнить

Для получения дополнительной информации см .: [[Каковы наиболее важные атрибуты хороших подсказок с интервалом повторения?]]

!!!Это сложнее, чем думают люди
К сожалению, не очевидно, что написанные вами подсказки плохие, поэтому люди часто не понимают, что их подсказки плохие. Это может привести к тому, что они недооценивают производительность или переоценят утомительную практику памяти с интервальными повторениями. Подробнее: [[В какой степени обзорные сессии предлагают оперативную обратную связь?]]

Одно из решений: [[Мнемоническая среда предоставляет подсказки, созданные экспертами]].

!!!Это облагается налогом, даже если ты знаешь как это делается

Даже если кто-то разовьет умение писать хорошие подсказки, это займет довольно много времени и когнитивно утомительно. Я считаю, что это еще один серьезный барьер на пути к широкому распространению.

Одно из решений: [[Мнемоническая среда предоставляет подсказки, созданные экспертами]].

!!!References

Matuschak, A., & Nielsen, M. (2019, October). How can we develop transformative tools for thought? https://numinous.productions/ttft

Nielsen, M. (2018). Augmenting Long-term Memory. http://augmentingcognition.com/ltm.html

NIelsen, M. (2019, January). Using spaced repetition systems to see through a piece of mathematics. http://cognitivemedium.com/srs-mathematics
[[Вечнозеленые заметки]] должны быть плотно связаны, и если вы будете следовать совету в разделе [[Предпочитайте ассоциативные онтологии иерархическим таксономиям]], вы обнаружите, что легко ориентироваться по тропам связанных с ними идей. Но если несколько заметок связаны по теме или связаны через другую заметку, трудно перемещаться между ними по ссылкам в заметках.

Один пример: если у вас есть много небольших заметок о методах решения проблем в облачных системах, может быть полезно увидеть эти «соседние» заметки при просмотре конкретной заметки. Они не связаны напрямую, поэтому для них всем нет смысла связываться друг с другом. Вы можете сделать заметку «хаб» под названием «Решение проблем в облачных системах», которая содержит ссылки на все эти заметки, но вы все равно не сможете увидеть этих соседей из данной заметки. Вы теряете [[Периферийное зрение]] раздела обратных ссылок - сначала вам придется перейти к заметке "концентратор".

::TODO возможно [[Gingko]] является выходом::

Два решения:

* «Контурные заметки» могут создавать псевдоиерархии с порядком и структурой, ссылаясь на многие дочерние заметки. Тогда нам нужен пользовательский интерфейс для поддержки навигации между соседями «через» эти наброски.
* Теги (особенно иерархические теги) могут помочь, но им не хватает авторского порядка и структуры:  [[Теги - неэффективная ассоциативная структура]].
!!!References

Ericsson, A., & Pool, R. (2016). *Peak: Secrets from the New Science of Expertise* (1 edition). Eamon Dolan/Houghton Mifflin Harcourt.  [[Пик - Ericsson and Pool]]
Когда вы начинаете творческий проект, вы (надеюсь) очень эмоционально связаны с ним, и все справочные материалы свежи в вашей памяти. Но очень сложно восстановить этот контекст, если вмешивается какая-то длительная задержка или если он требует большего внимания после того, как вы уже завершили его на эмоциональном уровне.

По теме: [[Лучшее время для написания темы вашей лекции - это примерно то время, когда вы ее читаете]].
* [[Культурные привычки по умолчанию заполняют свободное время чужими идеями]] 
* [[В разговоре с другими часто подчеркиваются наиболее понятные элементы идеи]]
* [[Письменная практика усиливает понимание]]
	*  [[Думайте самостоятельно]]
	*  [[Литературные заметки бывают второстепенными и несвязанными]]

Два наставления, которые помогают: [[Быть любопытным]];  [[Скучайте]]
Ожидается, что квалифицированные работники умственного труда будут вводить новшества - давать ценные и оригинальные идеи. Если у них есть какое-то представление об идее, как они на самом деле воплощают эту идею в жизнь с течением времени? Как выглядит шаг? [[Откуда берутся идеи?]]

Моя интуиция заключается в том, что большинство работников умственного труда развивают идеи интуитивно, часто используя неявные процессы, но этот процесс в значительной степени не направлен и основан на надежде, что в какой-то момент возникнет понимание. Обычно они разрабатывают некоторые временные методы и редко работают над их последующим улучшением ([[Люди обычно развивают навыки до плато, а затем останавливаются]]). Я подозреваю, что это в основном потому, что не очевидно, что это навык, который можно улучшить ([[Значимость улучшения способствует развитию навыков]]).

Одно из возможных решений: [[Написание вечнозеленых заметок помогает накапливать понимание]]
Книги почти всегда написаны с очень линейной структурой, а сама форма носителя побуждает читателя двигаться по тексту линейно. Но умелые читатели редко читают линейно. Иногда они читают с намерением - ищут, как книга может помочь им ответить на конкретный вопрос. Или они могут сделать небольшой первый проход, чтобы понять структуру книги (см. [[Инспекционное чтение]]). Или они могут начать с указателя и сосредоточиться на наиболее релевантных отрывках.
Книги почти всегда написаны с очень линейной структурой, а сама форма носителя побуждает читателя двигаться по тексту линейно. Но умелые читатели редко читают линейно. Иногда они читают с намерением - ищут, как книга может помочь им ответить на конкретный вопрос. Или они могут сделать небольшой первый проход, чтобы понять структуру книги (см. [[Инспекционное чтение]]). Или они могут начать с указателя и сосредоточиться на наиболее релевантных отрывках.
Студенты [[Execute Program]] не могут сразу получить доступ ко всем урокам курса. Большинство уроков курса начинаются «закрытыми». Эти уроки зависят от других уроков в курсе: единственными первоначально разблокированными уроками являются {те, у которых нет зависимостей в курсе}. Уроки разблокируются только один раз {все их зависимости были не только прочитаны, но и недавно проверены (с помощью встроенных механизмов [[§Система интервального повторения]])}.

Это позволяет разработчикам курсов писать более целенаправленные уроки: уроки [[Execute Program предполагают твердое напоминание предыдущего материала]].

Вот как их пользовательский интерфейс объясняет этот механизм:

[img[Снимок экрана 2021-04-13 в 7.38.45 AM.png]]

Этот подход предполагает, что один экземпляр [[Мнемоническая среда может быть адаптирована для создания опыта, который разворачивается во времени]]: ''вместо того, чтобы писать учебник, напишите последовательность гипер-сфокусированных уроков и предоставляйте  их учащимся с течением времени по мере того, как они консолидируют знания''. Но: [[Эффективное планирование проверок находится в противоречии с закрытыми последовательностями курсов]].

https://notes.andymatuschak.org/ztWkeRtP1VRttCcrGPmDH6trs3vobziJMHT

Попытка адаптировать [[Мнемонический носитель]] к нетехническим текстам (например, с помощью [[Как написать хорошие подсказки|https://andymatuschak.org/prompts/]]:

* [[Особенно сложно написать постоянно запоминающиеся подсказки для нетехнических мнемонических текстов]].
* [[Закрытые удаления часто вызывают разочарование в нетехнических мнемонических текстах]].
* [[Читатели мнемонического носителя иногда чувствуют затруднения из-за выбора авторами формулировок]].

По опыту автора:
* [[Написание нетехнических мнемонических текстов требует дополнительных описателей концепций]].

Анекдотические лакомые кусочки:

* Похоже, что также является причиной [[Мнемоническая среда может подтолкнуть читателей к более медленному и внимательному чтению]]
** Джеффри Литт : «Интеграция Orbit заставила меня замедлиться и более серьезно относиться к чтению. Несколько раз это помогало мне понять, что я бегло просматривал целые абзацы, даже не замечая, как мало я обращал внимания »
* Помогает с мотивацией - кажется настоящей инвестицией
** Джакомо Рандаццо : «Orbit не только подтолкнула меня к более внимательному чтению, но и послужила большим стимулом для того, чтобы потратить время на чтение эссе: я знаю, что буду поддерживать с ним связь с течением времени, создавая гораздо больше связей по сравнению с поверхностным. читать."
** NothingIsntTrivial «Я чувствую, что« получаю что-то от этого ». «

* Очень трудоемкий
** Джеффри Литт: для «чтения в Интернете» потребовалось гораздо больше усилий, чем я привык! Заставил меня мысленно «читать по бумаге».
** «Похоже на домашнее задание» / «вызывает стресс»
* Эмили : «орбита в недавнем эссе о @meaningness напоминает мне школьную домашнюю работу»
* Лукка : «Такое ощущение, что между чтением и ответом на подсказки существует огромная психологическая пропасть. Чтение для меня - это прогулка по странным и чудесным странам. Отвечать на запросы - очень холодное и серое занятие ».
* Кенни : «В целом это было немного неприятно - мне искренне нравится читать ваше письмо, и ответы на вопросы между ними были заметно другими. Я не «продан» на это, но я готов продолжить его тестирование!»
* Генри: «… Это как-то меня напрягало. Вместо того, чтобы читать (и без того интеллектуально насыщенный) текст, я чувствовал, что меня спрашивают или как-то в классе. Я прочитал около 30% статьи и ушел, потому что это было странно напряженно. То, что началось как приятный опыт чтения взглядов умного человека на метарациональность, превратилось в отражение моей собственной интеллектуальной недостаточности удержания. … Я осознаю, что отчасти это моя собственная отрицательная история (и точная оценка), когда я придерживаюсь новых сложных интеллектуальных концепций. Частично это была эмоциональная реакция на что-то более глубокое, чего я пока не могу понять. Часть меня хотела бы, чтобы я мог выбрать / отказаться вверху, а все Орбиты динамически скрывались бы внизу. Поскольку я слишком успешен, я просто не могу (не хочу?) Пропустить фиолетовые квадраты, но остановка, чтобы ответить на каждый вопрос, а затем прокрутка назад, чтобы найти ответы, делает чтение гораздо более трудоемким и тяжелым. Гораздо больше похоже на то, что я прохожу курс и собираюсь получить оценку (ick) вместо того, чтобы развивать свой собственный интеллектуальный ландшафт (yay). И в то же время я полностью осознаю, что мое удержание основных концепций, вероятно, улучшится, если я буду следовать этим подсказкам. Так что, возможно, мне просто нужно преодолеть себя и посвятить подходящее время материалу. Меня просто восхищает то, что я получил такую ​​интуитивную эмоциональную реакцию на этот пост, тогда как я не читал ни один из ваших (столь же интеллектуально насыщенных) постов. Возможно, мне следовало сказать, что это меня вывело из равновесия. Определенно неплохо, хотя и неудобно ». делает чтение более трудоемким и тяжелым. Гораздо больше похоже на то, что я прохожу курс и собираюсь получить оценку (отлично), а не развивать свой собственный интеллектуальный ландшафт (ура). И в то же время я полностью осознаю, что мое удержание основных концепций, вероятно, улучшится, если я буду следовать этим подсказкам. Так что, возможно, мне просто нужно преодолеть себя и посвятить подходящее время материалу. Меня просто восхищает то, что я получил такую ​​интуитивную эмоциональную реакцию на этот пост, тогда как я не читал ни один из ваших других (столь же интеллектуально насыщенных) постов. Возможно, мне следовало сказать, что это меня вывело из равновесия. Определенно неплохо, хотя и неудобно ». делает чтение более трудоемким и тяжелым. Гораздо больше похоже на то, что я прохожу курс и собираюсь получить оценку (ick) вместо того, чтобы развивать свой собственный интеллектуальный ландшафт (yay). И в то же время я полностью осознаю, что мое удержание основных концепций, вероятно, улучшится, если я буду следовать этим подсказкам. Так что, возможно, мне просто нужно преодолеть себя и посвятить подходящее время материалу. Меня просто восхищает то, что я получил такую ​​интуитивную эмоциональную реакцию на этот пост, тогда как я не читал ни один из ваших (столь же интеллектуально насыщенных) постов. Возможно, мне следовало сказать, что это меня вывело из равновесия. Определенно неплохо, хотя и неудобно ». в то же время я полностью осознаю, что мое удержание основных концепций, вероятно, улучшится, если я буду следовать этим подсказкам. Так что, возможно, мне просто нужно преодолеть себя и посвятить подходящее время материалу. Меня просто восхищает то, что я получил такую ​​интуитивную эмоциональную реакцию на этот пост, тогда как я не читал ни один из ваших других (столь же интеллектуально насыщенных) постов. Возможно, мне следовало сказать, что это меня вывело из равновесия. Определенно неплохо, хотя и неудобно ». в то же время я полностью осознаю, что мое удержание основных концепций, вероятно, улучшится, если я буду следовать этим подсказкам. Так что, возможно, мне просто нужно преодолеть себя и посвятить подходящее время материалу. Меня просто восхищает то, что я получил такую ​​интуитивную эмоциональную реакцию на этот пост, тогда как я не читал ни один из ваших (столь же интеллектуально насыщенных) постов. Возможно, мне следовало сказать, что это меня вывело из равновесия. Определенно неплохо, хотя и неудобно ». Меня просто восхищает то, что я получил такую ​​интуитивную эмоциональную реакцию на этот пост, тогда как я не читал ни один из ваших (столь же интеллектуально насыщенных) постов. Возможно, мне следовало сказать, что это меня вывело из равновесия. Определенно неплохо, хотя и неудобно ». Меня просто восхищает то, что я получил такую ​​интуитивную эмоциональную реакцию на этот пост, тогда как я не читал ни один из ваших (столь же интеллектуально насыщенных) постов. Возможно, мне следовало сказать, что это меня вывело из равновесия. Определенно неплохо, хотя и неудобно».

Подсказки предполагают, что люди слишком быстро усвоят абстракции
Лукка : «Тексты могут иметь дело с вариативностью понимания, потому что они обычно не требуют, чтобы вы понимали все сразу. Если вы не «получаете» подсказку, вас останавливают прямо на ходу ».
Наши мышцы и нервная система удивительно пластичны перед лицом целенаправленной практики (например, [[Целенаправленная практика, после Ericsson and Pool]]).

"""
(Эрикссон и Пул, 2016 г., стр.29, 34, 42).
Мировой рекорд по непрерывным отжиманиям - {10,507}.
Мировой рекорд подтягиваний - {4 654} за {12 часов}.
Лондонские извозчики изучают {25k} улиц.
Профессиональные скрипачи могут двигать руками с точностью до миллиметра с невероятной скоростью.
"""
По теме: [[Во многих сферах деятельности планка виртуозности стремительно поднялась]].
Классические операции Larry Tesler «вырезать» и «вставить» названы в честь физических аналогов, которые автор может использовать при редактировании композиции. Но, как указывает Тед Нельсон в своей книге Geeks Bearing Gifts , цифровая версия строго формальна и последовательна, тогда как физические действия по своей сути параллельны и неформальны. При физическом вырезании и наклеивании вы разрезаете свою работу, выкладываете ее на пол и переставляете части. По мере того, как вы исследуете соединения, они будут проходить через различные временные, «недействительные» конфигурации.

[img[DW5NK8_VQAAtWQT.jpeg]]
[img[DW5NPUeVoAAWPg2.jpeg]]
[img[DW5NQGnU0AEcz-v.jpeg]]

Стандартное цифровое вырезание и вставка предотвращает плавность физического процесса. Хуже того, нет даже программного обеспечения «экспертного уровня», которое позволяло бы что-то вроде оригинального поведения для сложных случаев использования. Подход, подобный подходу [[LiquidText]], может работать, но, похоже, в этой области есть много нерешенных проблем.

Это смутно связано с [[Периферийное зрение]]: вы хотите иметь возможность видеть здесь и управлять целым и частями одновременно, но вы не можете.

!!!References

Термин «вырезать и вставить», используемый писателями и редакторами в течение многих лет, относится к перегруппировке бумажных рукописей путем их фактического вырезания и физического перестановки на рабочем столе или полу. Это процесс параллельного созерцания и перестановки, когда вы смотрите на все части, перемещаете части, размещаете их во временном непоследовательном порядке и выбираете окончательную последовательность.

В 1984 году это изменилось: когда выходит Macintosh, они меняют значение слова «вырезать», чтобы скрыть, и значение «вставить», чтобы заменить . Честно говоря, многие люди, не только PARCies, воображают, что последовательный процесс сокрытия и подключения содержимого ТАК ЖЕ, что и параллельный процесс перегруппировки.

Этот первоначальный параллельный процесс реорганизации является фундаментальным при написании и редактировании, особенно в крупномасштабных проектах. Поскольку хорошего программного обеспечения для перегруппировки не существует, намного сложнее организовать большие проекты на компьютере, чем это было с пишущими машинками до PUI. Организация больших проектов стала намного более сложной, если вы не распечатаете и физически не вырежете и не вставите старый способ.

[[Ted Nelson’s chapter summary for his book, Geeks Bearing Gifts|http://geeks-bearing-gifts.com/gbgContents.html]]

[[Andy Matuschak on Twitter: “Process story! @mayli, @farrarscott, and I finished this endless report on our early math work (https://t.co/IHktxhJ9FC), but @cgingold convinced us we had the story all wrong. Despair, then: we printed it, cut it up, rearranged it, scribbled all over it, and taped it together|https://t.co/9uTMfRhVkj]]
Pixar начинала как технологическая компания, разрабатывая системы 3D-рендеринга в основном для рекламных целей. Но сейчас мы знаем его в первую очередь как киностудию. Фактически, это и то и другое, и каждая сторона делает возможной другую.

Pixar рассказывает интересные истории. Это верно для многих киностудий, но истории Pixar часто уникальны, потому что они рассказываются в среде, которую она изобрела и которая продолжает развиваться. Потребности историй определяют эволюцию медиа-технологий; Новые возможности 3D-анимации позволяют рассказывать новые виды историй.

Pixar был довольно успешным как бизнес, но вовсе не за счет прямых продаж их технологий: [[Продажи RenderMan, вероятно, не важны для бизнеса Pixar]].

В целом это кажется мощной стратегией: [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]].

Related: [[Глубокое сотрудничество между производителями и пользователями инструментов может способствовать пониманию посредством создания]]
Это гугл транслейт статьи размещенной на сайте 
http://www.csdl.tamu.edu/~shipman/formality-paper/harmful.html



Формальность считается вредной: опыт, новые темы и направления
Фрэнк М. Шипман III и Кэтрин К. Маршалл
 
Исследовательский центр Xerox в Пало-Альто 
3333 Coyote Hill Road 
Palo Alto, CA 94304 
(415) 812 - 4740 
Эл. Почта: {shipman, marshall}@parc.xerox.com


АБСТРАКЦИЯ
В этой статье рассматривается опыт проектирования, разработки и работы с пользователями различных интерактивных компьютерных систем. Авторы предполагают, основываясь на ряде опытов, что причиной ряда неожиданных трудностей во взаимодействии человека с компьютером является нежелание пользователей сделать структуру, контент или процедуры явными. Помимо пересказа опыта использования системы, в этой статье обсуждается, почему пользователи часто оправдывают отказ от формализмов и как разработчики системы могут предвидеть и компенсировать проблемы, с которыми пользователи сталкиваются при явном выражении неявных аспектов своих задач. В качестве подходов к решению этой проблемы предлагаются механизмы инкрементной и системной формализации, а также методы оценки ситуации задачи.
КЛЮЧЕВЫЕ СЛОВА: формализация, структура, гипермедиа, аргументация, системы, основанные на знаниях, групповое ПО, представление.

1. ВВЕДЕНИЕ
Когда люди используют компьютерные системы, их взаимодействие обычно опосредуется абстрактными представлениями, которые описывают и ограничивают некоторые аспекты их работы или ее содержания. Компьютерные системы используют эти абстрактные представления для поддержки действий своих пользователей различными способами: путем структурирования задачи или методов работы пользователей, путем предоставления пользователям вычислительных услуг, таких как управление и поиск информации, или просто делая это возможным для системы. для обработки данных пользователей. Эти абстракции часто называют формализмами.
Когда формализмы встроены в компьютерные системы, пользователям часто приходится заниматься деятельностью, которая обычно не является частью их задач: разбиение информации на фрагменты, характеризация информации с помощью ключевых слов, категоризация информации или определение отношений между частями информации. Например, в операционной системе Unix эти действия могут соответствовать созданию файлов, присвоению им имен, помещению их в структуру каталогов или описанию зависимостей в файлах make или созданию символических ссылок между каталогами или файлами.

Абстрактные представления, которые компьютерные системы навязывают пользователям, могут включать в себя различные степени и типы формализации помимо тех, к которым пользователи привыкли. В некоторых случаях для использования компьютерного инструмента требуется небольшая дополнительная формализация; текстовые редакторы, такие как vi или emacs, не требуют дополнительной формализации, намного превышающей ту, которая требуется другими механизмами для помощи в создании линейного текста. Соответственно, компьютер может выполнять небольшую дополнительную обработку без применения сложных методов контент-анализа. В других случаях большая формализация требует большей вычислительной мощности для решения задачи; Процессоры идей и инструменты написания гипермедиа требуют большей спецификации структуры, но они также предоставляют функциональные возможности, которые позволяют пользователям реорганизовывать текст или представлять его в режиме онлайн как нелинейное произведение. Эти системы и их встроенные представления называются полуформальными, поскольку они требуют некоторого - но не полного - кодирования информации в схематической форме. На другом конце спектра формальные системы требуют, чтобы люди кодировали материалы в представлении, которое может быть полностью интерпретировано компьютерной программой. Когда степень или тип формализации, требуемой компьютерной системой, превышает ту, которую пользователь ожидает, нуждается или готов терпеть, пользователь часто отвергает систему.

В этой статье мы предполагаем, что создатели систем, поддерживающих интеллектуальную работу, такую ​​как проектирование, написание, систематизация и интерпретация информации, особенно рискуют ожидать слишком большого уровня формальности от своих пользователей. Чтобы понять последствия навязывания или требования формальности, мы опираемся на наш собственный опыт разработки и использования таких систем.

Во-первых, мы извлекаем уроки из некоторых анекдотических рассказов о нашем собственном опыте работы с этими типами систем, а также из подтверждающих отчетов других. Мы обсуждаем возможные причины, по которым пользователи отвергают формализм, включая проблемы, связанные с когнитивными накладными расходами, неявным знанием, преждевременной структурой и ситуационной структурой. Затем мы предлагаем некоторые решения для разработчиков систем, которые пытаются избежать подобных ошибок. В частности, мы фокусируем наши предложения на механизмах, которые основаны на постепенной системной формализации и реструктуризации по мере того, как люди переосмысливают свои задачи; мы также рассматриваем способы работы дизайнеров с пользователями для оценки соответствующих формализмов для решения поставленной задачи.

2. УРОКИ ИЗ ОПЫТА ФОРМАЛИЗМОВ
Чтобы понять, как формализация влияет на использование и принятие системы, мы исследуем пять различных типов систем, поддерживающих интеллектуальную работу: гипермедийные системы общего назначения, системы для фиксации аргументации и обоснования дизайна, системы, основанные на знаниях, системы группового программного обеспечения и инструменты разработки программного обеспечения. Некоторые из этих систем, например те, которые предназначены для обоснования дизайна, основаны на определенных формализмах, отражающих предписывающий метод или подход к работе; другие, такие как системы гипермедиа, требуют разработки произвольной формальной структуры с учетом более абстрактных, менее предписывающих строительных блоков. Каждый тип системы обращается к совершенно разному аспекту работы пользователя, но все они продвигают наш анализ основных проблем, с которыми сталкиваются разработчики, когда они используют системы для поддержки интеллектуальной работы.
Системы, которые мы используем для построения нашей дискуссии, оказались успешными по многим показателям; тем не менее, все они демонстрируют аналогичные проблемы с взаимодействием с пользователем, которые могут быть отнесены на счет лежащих в их основе формализмов. Чтобы сосредоточить обсуждение на этих формализмах, мы намеренно опускаем любое описание интерфейсов, с помощью которых пользователи взаимодействуют с формализмами. Поступая таким образом, мы надеемся раскрыть опасно соблазнительную линию рассуждений: если вы создадите правильный интерфейс для встроенного представления, пользователи формализуют желаемый аспект своей области задач.

Что системы, поддерживающие интеллектуальную работу, требуют формализации пользователями? Во-первых, многие гипермедийные системы пытаются заставить своих пользователей сделать структуру явной. За некоторыми исключениями, они предоставляют пользователям возможности для разделения текста или других носителей на фрагменты (обычно называемые узлами) и определения способов, которыми эти фрагменты связаны между собой (в виде ссылок). Этот формализм предназначен либо как вспомогательное средство для навигации, либо как механизм для выражения того, как организована информация, без каких-либо формальных требований к содержанию.

Системы, поддерживающие аргументацию и обоснование дизайна, идут на шаг дальше, чем гипертекстовые системы общего назначения: они обычно требуют категоризации контента в рамках предписывающей структуры (например, Rittel's Issue-Based Information Systems (IBIS) [Kunz, Rittel 70 ]) и соответствующая формализация того, как организованы эти части контента. Эта предписывающая структура рассматривается как способствующая методологии решения задачи.

Системы, основанные на знаниях, построены с расчетом на обработку контента [Waterman 86]. Таким образом, чтобы добавить или изменить знания, которые обрабатывает система, пользователи должны кодировать структуру и контент домена в четко определенной схеме представления. Этот уровень формализации встроен в систему с аргументом, что пользователи получат значительную окупаемость за эти дополнительные усилия.

Системы группового программного обеспечения, поддерживающие координацию, являются интересным противовесом системам, основанным на знаниях: они могут требовать от пользователей не формализации структуры своей информации или ее содержания, а их собственного взаимодействия. Этот тип формализации позволяет системе помогать координировать действия между пользователями, такие как планирование встреч или распространение информации по рабочему потоку [Ellis et al. 91].

Формализмы, используемые в каждом из этих типов систем, включают компьютерную коммуникацию или координацию с другими людьми или сбор и организацию информации. Для сравнения мы также обсуждаем усилия по поддержке процесса разработки программного обеспечения, системы, предназначенные для помощи людям в создании формального артефакта, компьютерной программы.

Изучив этот диапазон систем, мы обнаружили, что формализмы структурируют деятельность неожиданным или непреднамеренным образом, по-разному понимаются разными людьми, могут быть незнакомым дополнением к ранее знакомой задаче, могут привести к потере людьми информации, которая не подходит и, как правило, требуют, чтобы люди излагали в явном виде знания, которые может быть трудно или нежелательно сформулировать. Наши обсуждения углубляются в эти уроки и иллюстрируют их конкретными анекдотами.

2.1 Гипермедиа общего назначения
Системы гипермедиа обычно обеспечивают полуформальное представление, в котором фрагменты текста или других носителей, называемые узлами, могут быть связаны через навигационные ссылки. Важная цель этих ссылок - приспособить индивидуальные шаблоны чтения, поддерживая нелинейный обход документа. Авторы должны формализовать структуру при создании таких гипердокументов.
Чтобы научиться писать и, в меньшей степени, научиться читать в гипермедийной системе, требуется время. Наблюдающие пользователи привыкают к KMS [Akscyn et al. 88] во время его использования в Медицинском колледже Бейлора стало очевидно, что людям нелегко принять новые авторские режимы. KMS - это гипермедийная система на основе страниц; Авторы записывают информацию на электронных страницах, на которые можно ссылаться с помощью навигационных ссылок. Некоторые начинающие пользователи писали иерархические схемы и полные страницы текста, которые они могли бы соединить одной ссылкой со следующей страницей текста, как если бы они все еще использовали инструмент выделения текста и текстовый процессор. По умолчанию они использовали методы создания систем, с которыми ранее сталкивались, они избегали решения о том, какая информация должна быть объединена или какие ссылки должны быть созданы. Информация, умещавшаяся на странице, стала фрагментом со ссылкой на следующую страницу. Таким образом, новая среда с ее незнакомым формализмом в сочетании с существующей практикой дает неожиданные результаты.

Опыт внутреннего использования ранних прототипов Virtual Notebook System (VNS) [Shipman et al. 89], еще одна страничная гипермедийная система, также проиллюстрировала дополнительные трудности с разделением на части и связыванием информации. Организационные соглашения были приняты в группах, делящихся «записными книжками». Эти высокоуровневые соглашения помогли понять информацию из записных книжек других пользователей, но по-прежнему существовала большая разница между отдельными людьми в объеме информации на странице и количестве созданных ссылок. Более недавнее использование VNS за пределами сообщества разработчиков показывает большие различия в использовании системы [Brunet et al. 91]. Активные пользователи создают наборы структурированных шаблонов для повторного использования, тем самым сокращая накладные расходы, связанные с добавлением структуры к информации, которую они вводят. В таком случае, новый носитель выдвинул дополнительные требования к задаче; об использовании формализмов пришлось договориться внутри рабочей группы.

NoteCards [Halasz et al. 87] - это гипермедийная среда, в которой используется метафора учетных карточек. Многие пользователи NoteCards сообщали об аналогичных проблемах с написанием нелинейного повествования на новом носителе. Опыт второго автора по обучению информационных аналитиков использованию карточек NoteCard показал, что у них были трудности с разбивкой информации на карточки («Насколько велика идея? Могу ли я поместить на карточку более одного абзаца?»), Присвоением имен карточкам («Как я это назову? ? »), и карточки (« Куда мне это положить? »). Типизированные ссылки - самый надежный механизм формализации - использовались редко, а когда и использовались, то редко использовались последовательно. Как направление ссылки, так и семантика ссылки оказались проблематичными. Например, ссылки, именуемые «пояснениями», иногда связывали пояснительный текст с поясняемыми карточками; в других случаях направление было обратным. Более того, добавление «примерных» ссылок нарушило семантику более ранних объяснительных ссылок; пример можно легко рассматривать как объяснение. Монти документирует аналогичные проблемы в своих наблюдениях за структурированием информации одним аналитиком в NoteCards в [Monty 90].

В отличие от NoteCards, которые поддерживали фиксацию определенных взаимосвязей между порциями информации, Aquanet [Marshall et al. 91] имеет существенно более сложную модель гипертекста, которая включает определяемую пользователем схему представления знаний в виде фреймов [Minsky 75] с компонентом графического представления. Мы заметили, что даже у опытных пользователей с опытом представления знаний были проблемы с формализацией ранее неявных структур. Пример крупномасштабной аналитической задачи документирует этот опыт в [Marshall, Rogers 92].

2.2 Аргументация и обоснование дизайна
В последнее время появилось много различных предложений по встраиванию конкретных представлений в системы для фиксации аргументации и обоснования дизайна. Некоторые из них используют вариации на структуру микро-аргументов Тулмина [Toulmin 58] или проблемную информационную систему Риттеля (IBIS) [Kunz, Rittel 70]; другие изобретают новые схемы, такие как язык представления дизайна Ли [Lee 90] или вопрос-вариант-критерии Маклина и его коллег [MacLean et al. 91].
Некоторые теоретики дизайна утверждают, что записи формальной аргументации или обоснования дизайна принесут далеко идущие выгоды: более короткое время производства, более низкие затраты на обслуживание продуктов и лучший дизайн [Jarczyk et al. 92]. Эксперименты с механизмами для обоснования дизайна - из использования PHI МакКоллом и соавторами [McCall et al. 83] до Якемовича и Конклина об использовании itIBIS [Якемович, Конклин 90] - можно интерпретировать и как успехи, и как неудачи. Эти методы привели к долгосрочному снижению затрат, но успех зависел от серьезного социального давления, обширного обучения или постоянной помощи со стороны человека. Фактически, Конклин и Якемович сообщили, что им не удалось убедить другие группы использовать itIBIS вне команды разработчиков Якемовича. и что протоколы собраний нужно было преобразовать в более традиционную форму прозы, чтобы привлечь любую из этих сторонних групп [Конклин, Якемович 91]. Подобно универсальным гипермедийным системам, системы аргументации и обоснования дизайна вынуждают пользователей разбивать и классифицировать информацию в соответствии с ее ролью, например проблемой, позицией или аргументом. Пользователи этих методов должны затем указать связи между блоками, такие как ответы, поддержки или противоречия ссылкам. Мы заметили несколько проблем, с которыми пользователи сталкиваются при эффективной формализации обоснования своего дизайна или аргументации в этом типе системы; эти проблемы можно предсказать, исходя из нашего опыта работы с гипермедиа. Системы аргументации и обоснования дизайна заставляют своих пользователей разбивать и классифицировать информацию в соответствии с ее ролью, например проблемой, позицией или аргументом. Пользователи этих методов должны затем указать связи между блоками, такие как ответы, поддержки или противоречия ссылкам. Мы заметили несколько проблем, с которыми пользователи сталкиваются при эффективной формализации обоснования своего дизайна или аргументации в этом типе системы; эти проблемы можно предсказать, исходя из нашего опыта работы с гипермедиа. Системы аргументации и обоснования дизайна заставляют своих пользователей разбивать и классифицировать информацию в соответствии с ее ролью, например проблемой, позицией или аргументом. Пользователи этих методов должны затем указать связи между блоками, такие как ответы, поддержки или противоречия ссылкам. Мы заметили несколько проблем, с которыми пользователи сталкиваются при эффективной формализации обоснования своего дизайна или аргументации в этом типе системы; эти проблемы можно предсказать, исходя из нашего опыта работы с гипермедиа.

Во-первых, люди не всегда могут разбивать взаимосвязанные идеи; мы наблюдали, например, позиции с заложенными в них аргументами. Во-вторых, люди редко соглашаются с тем, как информация может быть классифицирована и соотнесена в этой общей схеме; то, что один человек считает аргументом, может быть проблемой для другого. Оба автора активно спорили со своими соавторами о том, как взаимосвязаны части логического обоснования дизайна или аргументы, и об общих эвристиках для кодирования операторов в мире как частей одной из этих схем представления (см. [Marshall et al. 91] для краткое обсуждение опыта совместной работы с использованием структур Тулмина). Наконец, всегда есть информация, которая оказывается между трещинами, независимо от того, насколько хорошо продумано ее формальное представление.

2.3 Системы, основанные на знаниях
Системы, основанные на знаниях, уже давно поддерживают цель, чтобы пользователи добавляли или исправляли знания в системе. Получение знаний конечным пользователем налагает на пользователей ряд требований формализации. Пользователи должны изучить представление знаний, используемое системой, даже если оно скрыто хорошим интерфейсом, иначе они не будут полностью понимать последствия своих изменений.
Пепер и его коллеги применили другой подход к проблеме создания экспертных систем, которые пользователи могут изменять [Peper et al. 89]. Они устранили механизм вывода, оставив интерфейс гипермедиа, в котором пользователям задавали вопросы и на основе их ответов направляли к новому месту в документе. Например, пользователь может увидеть страницу с вопросом: «Загорелся ли предупреждающий свет?» с двумя ответами: «Да» и «Нет». Каждый ответ представляет собой ссылку на дополнительные вопросы или информацию, основанную на ответе на предыдущий вопрос. С помощью этой системы пользователи могли добавлять новые вопросы или редактировать старые вопросы на английском языке, поскольку компьютер не обрабатывал информацию. Уменьшая потребность в формализованных знаниях, они достигли преимущества в создании модифицируемой системы,

Другой подход демонстрируется инструментами изменяемости конечным пользователем (EUM), разработанными для поддержки дизайнеров в изменении и создании формальных знаний предметной области с повестками дня, пояснениями и примерами [Fischer, Girgensohn 90]. В описании пользовательских исследований инструментов EUM Гирдженсон отмечает, что большинство проблем, обнаруженных в последнем раунде тестирования, «были связаны с системными концепциями, такими как классы или правила [Girgensohn 92]». Короче говоря, эти исследования пользователей показали, что, хотя инструменты EUM значительно упростили ввод знаний, у пользователей все еще были проблемы с манипулированием формализмами, налагаемыми базовой системой.

2.4 Системы групповой работы
Системы группового программного обеспечения, требующие формализации процедуры и взаимодействия, страдают от многих из тех же проблем, что и системы, требующие формализации структуры и содержания. Например, системы, которые расширяют электронную почту путем присоединения свойств или типов к сообщениям, требуют от своих пользователей, чтобы они точно классифицировали, какой тип сообщения они отправляют или какой тип ответа является приемлемым. Опыт работы с такими системами, как Coordinator [Winograd, Flores 86] и Information Lens [Malone et al. 86] отмечают, что многие пользователи игнорируют формальные аспекты таких систем и обычно используют их в качестве базовых систем электронной почты [Bullen, Bennett 90].
Системы, ориентированные на координацию, несут дополнительное бремя формализации социальных практик, которые в значительной степени остаются неявными в нормальных человеческих взаимодействиях. Системы автоматического планирования, например, получили ограниченное признание [Grudin 88]; оказалось, что пользователи не желают описывать свои обычные методы принятия решений о том, стоит ли и когда назначать встречу с другими людьми. Те же правила расписания, которые применяются к вашему боссу, неприменимы к незнакомцу, но явно выражать такие различия не только сложно, но и нежелательно в социальном плане.

Опыт работы с системами рабочего процесса, системами, которые автоматически направляют информацию и работают с определенными процедурами, показывает, что системы без возможности обрабатывать исключения из формализованной процедуры не могут поддерживать большое количество случаев, когда требуются исключительные процедуры [Ellis et al. 91]. Можно утверждать, что почти все служебные процедуры оказываются исключениями из установленной формы [Сучман 87]. Кроме того, может быть сложно определить, какие процедуры кодировать. Закодированы ли процедуры, описанные в корпоративном руководстве, или те, которые фактически соблюдаются? Как получаются фактические процедуры? Придает ли кодирование реальных процедур легитимность, которой будут сопротивляться те, кто продвигает корпоративные процедуры? Формализация такой информации может быстро привести к политической битве, первой жертвой которой является система документооборота.

2.5 Урок программной инженерии
Инструменты для поддержки процесса разработки программного обеспечения отражают многие из уже описанных нами трудностей. Как и в вышеупомянутых ситуациях, люди (в данном случае включая программистов) должны явно передавать информацию компьютеру. Интерфейсы, через которые происходит это общение, в форме инструментов спецификации или языков программирования, часто являются частью проблемы, но они вносят только то, что Брукс называет «случайной сложностью» [Brooks 87], в общую задачу. Независимо от того, использует ли человек всплывающие меню, диалоговые окна, «англоязычные» формальные языки или языки программирования низкого уровня для явного изложения информации, человек все равно должен знать, что он хочет заявить, будь то связь между двумя частями текста или сложный алгоритм.
В программной инженерии решение о том, что должно быть заявлено явно (спецификация и фактический программный код), называется «восходящей деятельностью», чтобы отличить ее от «нисходящей деятельности» по созданию экземпляра спецификации [Myers 85]. Инструменты программной инженерии, которые сосредоточены на восходящей деятельности, предназначены для поддержки процесса разработки спецификации, хранения и извлечения информации, связанной с этим процессом, и визуализации результата. Несмотря на то, что до сих пор нет результатов об успехе инструментов проектирования апстрима, их методы могут быть использованы для поддержки формализации в других четырех классах систем.

3. ПОЧЕМУ НЕ ТРЕБУЕТСЯ ФОРМАЛИЗАЦИЯ ПОЛЬЗОВАТЕЛЕЙ
Широкий спектр примеров, которые мы обсудили в предыдущем разделе, подчеркивает повсеместность проблем, связанных с принудительной формализацией. В этом разделе мы объясняем, почему мы считаем, что пользователи принимают правильные решения в некотором смысле, сопротивляясь преждевременной, ненужной, бессмысленной или когнитивно затратной формализации.
С точки зрения пользователя формализация сопряжена с множеством рисков. «Что, если я обязуюсь выполнить эту формализацию только для того, чтобы позже узнать, что это неправильно?» «Что мне делать, если идеи или знания являются неявными и я не могу их формализовать?» «Зачем мне тратить время на оформление этого, когда у меня есть другие дела?» «Зачем мне это формализовать, если я не могу ни с кем договориться о том, какой должна быть формализация?» Все это правильные вопросы, и ответы, которые дают системы, часто недостаточны, чтобы убедить людей использовать формальные аспекты системы.

3.1 Когнитивные накладные расходы
Добавление формализованной информации в компьютерную систему сопряжено со многими когнитивными издержками. Прежде всего, пользователи должны выучить формальный язык системы. В некоторых областях, таких как проектирование схем, есть определенные формальные языки (например, принципиальные схемы) для описания определенного типа информации. Более общие формальные языки, такие как производственные правила или фреймы, почти никогда не используются для задач, не связанных с компьютером. Хотя основанные на знаниях механизмы поддержки и интерфейсы могут улучшить способность пользователей успешно использовать формальные языки, опыт Гирдженсона показывает, что системные концепции, связанные с базовыми представлениями, по-прежнему создают серьезные препятствия для их использования [Girgensohn 92].
Даже зная формальный язык системы, пользователи сталкиваются с несоответствием между своим пониманием информации и формальным представлением системы; они сталкиваются с концептуальным разрывом между целями пользователя и интерфейсом, предоставляемым системой. Норман описывает требования для преодоления этого разрыва или «пропасти исполнения»:

«Разрыв от целей к физической системе преодолевается четырьмя сегментами: формирование намерения, определение последовательности действий, выполнение действия и, наконец, установление контакта с механизмами ввода интерфейса». [Норман 86] (стр. 39)

Как это подразумевает, людям сложно часто использовать формализмы из-за множества дополнительных шагов, необходимых для определения чего-либо. Многие из этих дополнительных решений касаются разбиения на фрагменты, связывания и маркировки, где формальные языки требуют гораздо более четко определенных границ, связей между фрагментами и меток для таких связей, чем их неформальные аналоги.

Препятствие, созданное этим концептуальным разрывом между целями пользователей и формальными языками системы, наблюдалось в раннем прототипе «сопоставителя профилей интересов» Virtual Notebook System. Цель сопоставителя профилей заключалась в том, чтобы позволить пользователям системы находить других пользователей с определенными интересами и опытом. Словарь, используемый в профилях, представлял собой медицинские предметные заголовки (MeSH), набор из примерно 20 000 терминов, разделенных примерно на двенадцать взаимосвязанных деревьев (образующих направленный ациклический граф), который используется медицинскими журналами для индексации статей. Для определения профиля интересов потребовалось выбрать термины из иерархии концепций, которые лучше всего описывают интересы. Запросы для поиска людей также требовали выбора терминов из терминов MeSH и добавления «диапазонов соответствия». так что все термины в данном диапазоне в иерархиях MeSH будут считаться совпадающими. Диапазоны соответствия были необходимы, потому что MeSH был достаточно большим, чтобы столкнуться с проблемой словарного запаса [Furnas et al. 87] - люди, использующие разные термины для описания одной и той же темы. С увеличением выразительности запросов стало труднее определять запросы. Работа над сопоставителем профилей была прекращена, потому что усилия, необходимые для определения интересов и запросов с достаточной ясностью, превзошли полезность услуги, которую должна была предоставлять система. С увеличением выразительности запросов стало труднее определять запросы. Работа над сопоставителем профилей была прекращена, потому что усилия, необходимые для определения интересов и запросов с достаточной ясностью, превзошли полезность услуги, которую должна была предоставлять система. С увеличением выразительности запросов стало труднее определять запросы. Работа над сопоставителем профилей была прекращена, потому что усилия, необходимые для определения интересов и запросов с достаточной ясностью, превзошли полезность услуги, которую должна была предоставлять система.

В эксперименте по применению анализа зависимостей, основанного на предположениях (ATMS) (описанного в [de Kleer 86]), к сетям микроаргументных структур Тулмина в NoteCards, один из авторов пришел к выводу, что когнитивные затраты были не соизмеримы с результатами, хотя анализ зависимостей долгое время был целью явного представления аргументов в виде аргументов. Хотя гипертекстовое представление неформальных силлогистических рассуждений, присущих структурам Тулмина (тройка данных-требований-ордеров), фиксирует отношения зависимости, необходима дополнительная формализация для выполнения автоматического анализа с помощью модели ATMS. В частности, было важно выявить предположения и противоречивые узлы. Было трудно не только выявить противоречия в реальных данных (убеждение было квалифицированным, а не абсолютным) и было невозможно отслеживать относительные значения истинности с течением времени, но также - и что наиболее важно - к тому времени, когда были определены противоречия и были определены значения относительной истинности. , значительная часть оценки сети была выполнена пользователем. В этом случае дополнительная обработка, выполняемая механизмом ATMS, не принесла особой пользы.

3.2 Неявное знание
Неявные знания - это знания, которые пользователи используют, не осознавая их использования [Polanyi 66]. Неявные знания представляют собой особенно сложную проблему для добавления информации в любую систему, поскольку они явно не признаются пользователями. Проблема неявного знания привела к появлению методов инженерии знаний, нацеленных на выявление опыта, обычно не осознаваемого экспертами, таких как метод, описанный Митталом и Димом:
«Мы считаем, что эксперты не могут достоверно дать отчет о своем опыте: мы должны использовать их опыт для решения реальных проблем, чтобы извлечь и смоделировать их знания». [Mittal, Dym 85] (стр. 34)

Когда такой самоанализ становится необходимым для создания и применения формального представления во время задачи, он обязательно прерывает задачу, структурирует и изменяет ее. Эти изменения могут отрицательно сказаться на способности пользователя выполнять свою задачу. Hutchins et al. обсуждают такую ​​модификацию задачи, когда говорят:

"Хотя перемещение интерфейса ближе к намерениям пользователя может затруднить реализацию некоторых намерений, изменение концепции домена пользователя может вообще предотвратить возникновение некоторых намерений. Таким образом, хотя хорошо разработанный язык специального назначения может дать пользователю мощный способ размышления о домене, это также может ограничить гибкость пользователя, чтобы думать о домене по-разному ". [Hutchins et al. 86] (стр. 108)

Примером такого вмешательства является наблюдение МакКолла о том, что студентам-дизайнерам сложно представить аргументацию в стиле IBIS, хотя видеозаписи их сессий дизайна показывают, что их естественные обсуждения следуют этой структуре [Fischer et al. 91]. Физиологический пример вмешательства, которое может вызвать осознание неявного знания, - это дыхание (также от МакКолла). Когда человека просят дышать нормально, его нормальное дыхание прерывается. Более того, есть вероятность, что самоанализ о том, что означает нормальное дыхание, приведет к тому, что дыхание человека станет ненормальным - преувеличенно поверхностным, слишком глубоким, нерегулярным.

Многие из представлений, которые дизайнеры встроили в системы для фиксации неявных знаний, являются результатом анализа существующего материала. Например, представления аргументов часто выводятся из анализа естественного аргументативного дискурса: речь или текст разбиваются на дискурсивные единицы; единицы дискурса классифицируются в соответствии с их функциональными ролями; тогда отношения между дискурсивными единицами описываются в общих чертах. Но, как мы видим из приведенного выше примера IBIS, апостериорный анализ сильно отличается от генерации. Когда эти описательные модели предоставляются пользователям, им очень трудно формализовать знания в процессе их создания или производства.

3.3 Преждевременная структура
Одна хорошо известная причина, по которой пользователи не будут формализовать, - это негативные последствия преждевременного или ненужного наложения структуры [Halasz 88] [Shum 91]. Перенос информации из одной формализации в другую может быть сложнее, чем формализация информации из неформального государства.
В своих исследованиях того, как люди организовывали информацию в своих офисах, Мэлоун обнаружил, что офисные работники ощущают негативные последствия преждевременного структурирования информации [Malone 83]. В частности, один из участников исследования Мэлоуна сказал о стопке бумаг, ожидающих отправки:

«Вы не хотите убирать это, потому что таким образом вы никогда не встретите их снова. ... это почти как если бы их не было, значит, мне не нужно их характеризовать ... отложите пока необходимость решить - либо использовать, решить, как их использовать, либо решить, где их разместить ». [Мэлоун 83] (стр. 107)

Эта цитата указывает на мнение, что информация, формализованная неправильно или непоследовательно, будет труднее использовать или просто будет менее полезной, чем информация, не формализованная. Эта проблема также может наблюдаться в структурах каталогов UNIX, Mac OS или DOS. Многие пользователи имеют большое количество несвязанных файлов в каталоге (или папке) верхнего уровня на их компьютере или в учетной записи. Многие из этих пользователей знают, как создавать подкаталоги или папки для организации своих файлов, но откладывают классификацию до тех пор, пока у них не «появится больше времени» или «беспорядок станет слишком плохим». Для этих пользователей ощутимая выгода от организации файлов не компенсирует усилия, необходимые для организации файлов, и возможные затраты, связанные с неправильной характеристикой файлов.

3.4 Разные люди, разные задачи: ситуационная структура
Трудности создания полезных формализаций для поддержки отдельных лиц усугубляются, когда разные люди должны совместно использовать формализацию. Можно провести аналогию между совместной формализацией и написанием юридического документа для нескольких сторон, преследующих разные цели. Лучшее, на что можно надеяться в любом случае, - это результат, достаточно расплывчатый, чтобы его можно было интерпретировать приемлемо для всех участников; двусмысленность и неточность используются продуктивно. Формализация затрудняет такие соглашения, поскольку требует, чтобы формализованная информация была четко изложена, чтобы не было места для различных интерпретаций.
Чтобы разные люди пришли к соглашению о формализации, они должны договориться о разделении, маркировке и связывании информации. Как уже обсуждалось в контексте предыдущих примеров использования инструментов для фиксации обоснования дизайна, перспективы согласования того, как информация кодируется в фиксированном представлении, в лучшем случае трудны.

Differences occur not just within a group of users but between groups as well. A study of the communication patterns in biomedical research groups showed that the characteristics of the research being performed influenced the organization and communication of the research groups [Gorry et al. 78]. A system which attempts to impose a particular structure on communication will likely not match the appropriate communication structure for any given group.

The problem of situational structure does not occur only when multiple people use the same structure but can also occur when the user's task changes. The context of the new task may not match the existing structuring scheme. In listing what are commonly considered the most important properties of a formal system, Winograd and Flores include:

"There is a mapping through which the relevant properties of the domain can be represented by symbol structures. This mapping is systematic in that a community of programmers can agree as to what a given structure represents." [Winograd, Flores 86] (page 85)

Experience and intuition seems to indicate that domains for which this is true may be quite small and task dependent. Anecdotal evidence shows that a representation that is suitable for one task may not be appropriate for a very similar related task. For example, Marshall and Rogers describe [Marshall, Rogers 92] how a representation developed for the process of assessing foreign machine translation efforts proved to be of limited value in the closely related task of evaluating Spanish-English machine translation software. The second task shared a subset of the content with the first task, but the representation did not formalize appropriate aspects of the material. Attributes like speed and accuracy as well as cost and computer platform turned out to be very important in evaluating software, but only of secondary importance in a general assessment of the field, while in the general assessment of the field, the technical approach of the various systems was deemed important.

Короче говоря, разные ситуации требуют разной поддержки пользователей и, следовательно, разных формализованных структур [Сучман 87].

4. ИЗУЧЕНИЕ ПРЕДУПРЕЖДЕНИЯ ПОТРЕБНОСТЕЙ ПОЛЬЗОВАТЕЛЯ
Хотя трудности, вызванные формализацией, широко распространены, и пользователи оправданы в своем сопротивлении или отказе от некоторых задач формализации, есть некоторые частичные решения этой дилеммы системного проектирования. Во-первых, проектировщики должны решить, какая информация должна быть формализована для выполнения задачи, и предусмотреть это. Во-вторых, дизайнеры должны определить, какие другие услуги или преимущества для пользователей может предоставить компьютер, исходя из компромиссов, вводимых дополнительной формализацией. Наконец, что наиболее важно, дизайнеры должны ожидать, допускать и поддерживать реконцептуализацию и инкрементную формализацию в более длительных задачах.
4.1 Основы для задачи
Некоторая информация должна быть формализована, чтобы компьютерная система могла выполнять практически любую задачу. Текстовый процессор должен знать порядок символов, программа рисования должна знать цвет и форму рисуемых объектов, а анализатор схем должен знать схему логической схемы. Взаимодействие, основанное на формализме ограниченной области, может стать прозрачным, когда пользователь научится выражать информацию в формализме. Неспособность заставить пользователя формализовать информацию, которая важна для центральной задачи, означает отказ от системы.
Но какова основная задача более универсальных систем для поддержки интеллектуальной работы и что с точки зрения информации для этого требуется? Что необходимо формализовать, чтобы система поддерживала организацию и обмен информацией? Нужно ли просто ввести контент в систему, или для того, чтобы система работала, нужно указать дополнительную информацию, такую ​​как гипертекстовые ссылки и метки? Чтобы ответить на эти вопросы, можно применить методы совместного проектирования, чтобы получить представление о методах работы пользователей и формализмах, необходимых для поддержки этих методов [Greenbaum, Kyng 91].

4.2 Несущественный компромисс между затратами и выгодами
Многие системы предоставляют функции, которые не являются необходимыми для некоторых видов использования системы, но доступны для пользователей, которым нужны дополнительные преимущества в виде предоставления дополнительной информации. Такой информацией в текстовом редакторе можно считать стиль и размер шрифта. Пользователи могут принять стиль и размер по умолчанию для написания статьи и, таким образом, никогда не должны явно указывать свои предпочтения, но у них есть возможность указать другие шрифты. Конечно, многие люди казались очень счастливыми воспользоваться этой особенностью, размещая множество шрифтов на каждой странице, пока какое-то понятие эстетики не стало общепринятым.
Other features may be much less widely used. Spreadsheet programs include many features which are used only by a small percentage of the user community [Nardi, Miller 90]. The rest of the users either get by without using the features, or ask for help when they cannot avoid doing otherwise. In designing information systems where formalization is required for use of some of the features, systems designers must balance the effects of cognitive inflation, which can leave services worth little compared to the cost of formalization.

Проблемы масштаба, то есть слишком много выводов, чтобы заставить пользователей признать каждую часть предполагаемой структуры, приводят к более автоматическим рассуждениям системы вместо предложений. Такой подход предоставляет пользователю услуги на основе неформально представленной информации; структуры могут быть выведены с помощью текстовых, пространственных, временных или других паттернов (см., например, [Marshall, Shipman 93]). Выводы системы будут временами неверны, но до тех пор, пока выводы верны в определенное время и пользователю очевидно, что система сделала неправильный вывод, эти функции будут стоить пользователю мало за ту выгоду, которую они предоставляют.

4.3 Постепенная формализация и реструктуризация
Более длинные задачи обязательно включают переосмысление; Постепенная эволюция человеческого понимания во время выполнения задачи лежит в основе многих проблем, связанных с формализацией. Таким образом, предоставление механизмов для постепенной формализации и реструктуризации является основным способом, которым проектировщики систем могут поддерживать интеллектуальную деятельность с помощью вычислительных инструментов.
Постепенная формализация была продемонстрирована как средство решения выявленных нами ранее проблем, связанных с когнитивными перегрузками, неявным знанием, преждевременной структурой и ситуационными различиями [Шипман 93]. Мы обсуждаем, как каждый из них решается, и предлагаем конкретные стратегии поэтапной формализации, такие как ввод неформальной информации и последующее добавление структуры, использование неформальных средств массовой информации, таких как видеокассета, адаптируемые, зависящие от ситуации формализмы и, наконец, управляемое пользователем распознавание подразумеваемой структуры .

Когнитивные накладные расходы
Стратегии инкрементной формализации стремятся сократить накладные расходы на ввод информации и отложить формализацию этой информации на более поздний срок в задаче. Таким образом, исходное выражение меняется с формального описания языка на неформальное представление. Такое различие увеличило возможности пользователей изменять систему при использовании Пепером гипердокументов вместо правил экспертной системы [Peper et al. 89].
Пошаговая формализация разделяет накладные расходы, связанные с формализацией информации в системе, путем разделения процесса. За счет формализации меньшего количества информации за раз количество решений, касающихся фрагментов, связывания и маркировки, которые должны принимать пользователи, сокращается. Накладные расходы, связанные с необходимостью быть явным, все еще существуют для инкрементной формализации, но отдельные шаги требуют менее явной информации.

При определении фрагментов, связывания и маркировки информации пользователь пересекает первый из четырех сегментов, перекрывающих пропасть Нормана в исполнении, формировании намерения [Norman 86]. Поддержка второго и третьего сегментов моста Нормана, определяющая последовательность действий и выполнение действия, может быть обеспечена путем предоставления предлагаемых спецификаций и простого выполнения действий. Эти предложения могут быть созданы с использованием шаблонов в текстовой [Шипман 93] или пространственной [Маршалл, Шипман 93] информации.

Неявное знание
Проблема представления неявных знаний сложна для всех систем, запрашивающих информацию у своих пользователей. Неформально представленная информация может отражать некоторые неявные предположения пользователей посредством использования ими языка и других неформальных средств массовой информации, таких как видео. Хотя маловероятно, что компьютер сможет обрабатывать большую часть такой неявной информации (помимо предоставления дополнительных методов поиска и доступа), другие пользователи могут ее интерпретировать.
Предлагаемые формализации также позволяют донести до сознания ранее неявные знания. Распознаваемые закономерности в неформальной информации могут быть результатом неявного знания, запускающего признание того, что эта информация важна. О таком случае было сообщено при использовании Infoscope [Stevens 93], системы, которая предлагает информационные фильтры на основе моделей чтения пользователей Usenet News. В этом аккаунте конкретное предложение побудило пользователя лучше понять свои цели.

Преждевременная структура
Системы, использующие стратегии постепенной формализации, не требуют от людей навязывания преждевременной структуры при записи информации. Подобно столам офисных работников в исследовании Мэлоуна [Malone 83], информация в таких системах может храниться без структуры до тех пор, пока пользователь не захочет добавить структуру. Кроме того, поскольку структуру не нужно добавлять сразу, пользователь может добавить только ту структуру, которую он считает удобной, отложив другое возможное структурирование на потом.
Сопротивление преждевременной структуре все еще может быть проблемой, если пользователи никогда не чувствуют себя готовыми к формализации. Эта проблема связана с проблемой формирования намерения, которая обсуждалась выше как часть проблемы когнитивных накладных расходов.

Расположенная структура
Проблема использования формально представленной информации для различных ситуаций лишь частично решается путем поэтапной формализации. Постепенная формализация требует, чтобы формальные представления могли развиваться. Добавляя формализмы для конкретных ситуаций, пользователь может изменять существующие или добавлять новые структуры для конкретных ситуаций по мере необходимости.
Структура, наложенная на информацию для одной задачи, может не пригодиться для новой задачи без серьезных изменений в разбиении на части, связывании и маркировке информации. В случаях, когда нет способа разрешить различные структуры, необходимые для различных ситуаций, доступ к неформально представленной информации или методы общения с первоначальным автором [Ackerman 94] все же могут быть полезны для получения новых требуемых структур.

5. ВЫВОДЫ
Мы попытались описать масштабы трудностей, вызываемых системами, требующими от пользователей формализации информации. Эти проблемы широко распространены в системах, предназначенных для поддержки интеллектуальной работы, таких как гипермедиа, аргументация, системы, основанные на знаниях, и групповое ПО.
Трудности, с которыми сталкиваются пользователи при формализации информации, - это не только проблема интерфейса. Пользователи не решаются использовать формализацию из-за страха преждевременно придерживаться определенного взгляда на свои задачи; им также может быть трудно формализовать знания, которые обычно являются неявными. Дополнительные затраты на формализацию информации по сравнению с использованием неформальной информации делают формализованную информацию гораздо менее привлекательной для пользователей. В условиях совместной работы люди должны согласовать формализацию и эвристику для кодирования в нее информации.

Существуют решения, которые разработчики систем могут принять, чтобы уменьшить потребность систем в формальной информации, а также методы, упрощающие предоставление этой информации пользователям. Системы должны использовать доменно-ориентированные представления, используемые для однозначной коммуникации между людьми, когда это возможно. Системы должны предоставлять услуги на основе предполагаемой структуры неформально представленной информации. Наконец, системы должны поддерживать процесс постепенной формализации и эволюции структуры по мере переосмысления задач.

Как системные дизайнеры, есть соблазн добавить больше умных функций, которые полагаются на формализованную информацию. Мы должны сдерживать это побуждение и учитывать трудности, с которыми столкнется пользователь при предоставлении этой информации, прежде чем рассчитывать на ее успех в наших системах.

БЛАГОДАРНОСТИ
Мы благодарим членов группы HCC в Университете Колорадо и подразделения Collaborative Systems Area в Xerox PARC за обсуждения, которые помогли сформировать эти идеи. Мы также благодарим Джонатана Грудина и Тома Морана за чтение и комментарии к версиям этой статьи.
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[MacLean et al. 91] MacLean, A., Young, R., Bellotti, V., Moran, T. Questions, Options, and Criteria: Elements of a Design Rationale for User Interfaces. Human Computer Interaction 6, 3-4 (1991), pp. 201-250.

[Malone 83] Malone, T.W. How do People Organize their Desks? Implications for the Design of Office Information Systems. ACM Transactions on Office Information Systems 1, 1 (January 1983), pp. 99-112.

[Malone et al. 86] Malone, T.W., Grant, K.R., Lai, K.-Y., Rao, R., and Rosenblitt, D. Semi-Structured Messages are Surprisingly Useful for Computer-Supported Coordination. In Proceedings of the Conference on Computer-Supported Cooperative Work (CSCW'86) (Austin, Texas, Dec.). 1986, pp. 102-114.

[Marshall et al. 91] Marshall, C., Halasz, F., Rogers, R., and Janssen, W. Aquanet: a hypertext tool to hold your knowledge in place. In Proceedings of Hypertext `91 (San Antonio, Texas, Dec. 15-18). ACM, New York, 1991, pp. 261-275.

[Marshall, Rogers 92] Marshall, C.C., and Rogers, R.A. Two Years before the Mist: Experiences with Aquanet. In Proceedings of European Conference on Hypertext (ECHT `92) (Milano, Italy, Dec. 1992). pp. 53-62.

[Marshall, Shipman 93] Marshall, C.C., and Shipman, F.M. Searching for the Missing Link: Implicit Structure in Spatial Hypertext. To appear in Proceedings of Hypertext `93 (Seattle, Wash., Nov. 14-18). ACM, New York, 1993.

[McCall et al. 83] McCall, R., Schaab, B., and Schuler, W. An Information Station for the Problem Solver: System Concepts. In Applications of Mini- and Microcomputers in Information, Documentation and Libraries, C. Keren, L. Perlmutter, Eds. New York: Elsevier, 1983.

[Minsky 75] Minsky, M. A Framework for Representing Knowledge. In The Psychology of Computer Vision, P. Winston, Ed. McGraw-Hill Book Company, New York, 1975, pp. 211-277.

[Mittal, Dym 85] Mittal, S., and Dym, C.L. Knowledge Acquisition from Multiple Experts. The AI Magazine (Summer, 1985), pp. 32-36.

[Monty 90] Monty, M.L. Issues for Supporting Notetaking and Note Using in the Computer Environment. Dissertation, Department of Psychology, University of California, San Diego, 1990.

[Myers 85] Myers, W. MCC: Planning the Revolution in Software. IEEE Software (November 1985), pp. 68-73.

[Nardi, Miller 90] Nardi, B.A., and Miller, J.R. An Ethnographic Study of Distributed Problem Solving in Spreadsheet Development. In Proceedings of the Conference on Computer-Supported Cooperative Work (CSCW'90) (Los Angeles, Calif., Oct. 7-10). ACM, New York, 1990, pp. 197-208.

[Norman 86] Norman, D. Cognitive Engineering. In User Centered System Design, D. Norman, S. Draper, Eds. Lawrence Erlbaum Associates, Hillsdale, New Jersey, 1986, pp. 31-61.

[Peper et al. 89] Peper, G., MacIntyre, C., and Keenan, J. Hypertext: A New Approach for Implementing an Expert System. In Proceedings of 1989 ITL Expert Systems Conference, 1989.

[Polanyi 66] Polanyi, M. The Tacit Dimension, Doubleday, Garden City, NY, 1966.

[Shipman et al. 89] Shipman, F.M., Chaney, R.J., and Gorry, G.A. Distributed Hypertext for Collaborative Research: The Virtual Notebook System. In Proceedings of Hypertext `89 (Pittsburgh, Penn., Nov. 5-8). ACM, New York, 1989, pp. 129-135.

[Shipman 93] Shipman, F.M. Supporting Knowledge-Base Evolution with Incremental Formalization. Ph.D. Dissertation., Department of Computer Science, University of Colorado, Boulder, Colorado, 1993.

[Shum 91] Shum, S. Cognitive Dimensions of Design Rationale. In People and Computers VI, D. Diaper and N.V. Hammond, Eds. Cambridge University Press, Cambridge, UK, 1991.

[Stevens 93] Stevens, C. Helping Users Locate and Organize Information. Ph.D. Dissertation., Department of Computer Science, University of Colorado, Boulder, Colorado, 1993.

[Suchman 87] Suchman, L.A. Plans and Situated Actions: The problem of human-machine communication. Cambridge University Press, Cambridge, UK, 1987.

[Toulmin 58] Toulmin, S. (Ed.) The Uses of Argument. Cambridge University Press, UK, 1958.

[Waterman 86] Waterman, D.A. A Guide to Expert Systems. Addison-Wesley, 1986, pp. 3-11.

[Winograd, Flores 86] Winograd, T., and Flores, F. Understanding Computers and Cognition: A New Foundation for Design. Ablex Publishing Corporation, Norwood, NJ, 1986.

[Yakemovic, Conklin 90] Yakemovic, K.C., and Conklin, E.J. Report of a Development Project Use of an Issue-Based Information System. In Proceedings of the Conference on Computer-Supported Cooperative Work (CSCW'90) (Los Angeles, Calif., Oct. 7-10), ACM, New York, 1990, pp. 105-118.
TODO Сделать вопросы для anki

Самая простая и распространенная форма вопросов - это задавать вопросы типа «да / нет»: «Унаследован ли интеллект?». Но значимые темы человеческого масштаба почти никогда не бывают такими черно-белыми, и часто самые важные детали находятся в крайних случаях. Когда вы пытаетесь [[Быть любопытным]], почти всегда интереснее и поучительнее спросить: "Насколько X истинен?" или "когда X верно?" чем спросить «правда ли X?».

С другой стороны, лучше спросить: "Насколько вероятно X?" или «что должно быть правдой, чтобы X был правдой?» чем спросить «правда ли X?». Пол Грэм из книги [[Как думать самостоятельно|http://paulgraham.com/think.html]]

Придирчивость к истине означает больше, чем просто неверие в ложное. Это означает осторожность в отношении степени веры. Для большинства людей степень непостижимой веры стремительно приближается к крайностям: маловероятное становится невозможным, а вероятное становится несомненным. Сторонникам независимого взгляда это кажется непростительно небрежным. Они готовы иметь в своей голове что угодно, от весьма спекулятивных гипотез до (очевидных) тавтологий, но по предметам, которые их волнуют, все должно быть помечено с тщательно продуманной степенью веры.
[[Опыт требует построения сложных схем перекодирования чанков]], которые могут быть достигнуты с помощью эффективной практики (например, [[Ментальные представления, после Ericsson and Pool]] Эрикссон и Пул).

Процесс кажется автоматическим, поскольку эксперты обычно не думают: «Мне нужно разработать более качественные  чанки». Скорее, обучение на пределе своих возможностей означает прогресс в кодировании более крупных чанков - по крайней мере, в некоторой степени.

Эрикссон и Пул (2016) подробно обсуждают это утверждение, но мало доказательств или объяснений этому механизму.

::...Способность распознавать и запоминать значащие закономерности возникает в результате того, как шахматисты развивают свои способности… проводя бесчисленные часы за изучением партий, в которые играют мастера. Вы глубоко анализируете позицию, предсказывая следующий ход, и, если вы ошибаетесь, вы возвращаетесь назад и выясняете, что вы упустили. Исследования показали, что количество времени, затрачиваемого на такого рода анализ, а не количество времени, потраченного на игру в шахматы с другими, является самым важным показателем способностей шахматиста. (стр.56)::

::...Большая часть осознанной практики включает в себя развитие все более эффективных мысленных представлений (стр. 59).::

::…Наиболее успешными квотербеками обычно являются те, кто больше всего времени проводит в кинозале, просматривая и анализируя… »(стр. 64)::

---

!!!References
Ericsson, A., & Pool, R. (2016). *Peak: Secrets from the New Science of Expertise* (1 edition). Eamon Dolan/Houghton Mifflin Harcourt.  [[Пик - Ericsson and Pool]]
Целенаправленная практика, согласно определению Эрикссон и Пул (2016, стр. 14-22), обусловлена ​​{конкретными}, {приблизительными} целями, с трудностями, которые ставятся {только за пределами вашей зоны комфорта ([[Развитие навыков требует непростого гомеостаза]]). Чтобы организовать этот тип практики, вам понадобится {хорошая обратная связь}, которая, в свою очередь, обычно требует {тренера}.

Этот тип практики обычно более характерен для того, что производит экспертов; сравните с [[Наивные подходы к практике: быстрое плато]].

Поскольку вы всегда стараетесь заниматься этим типом практики, успех требует сильной сосредоточенности. Вам также придется столкнуться с проблемами, описанными в разделе [[Плато производительности часто требует изменения подхода к преодолению]].

Один из возможных механизмов действия: [[Хорошая практика кодирует более эффективные схемы перекодирования чанков]].

---

!!!References
Ericsson, A., & Pool, R. (2016). Peak: Secrets from the New Science of Expertise (1 edition). Eamon Dolan/Houghton Mifflin Harcourt. [[Пик - Ericsson and Pool]]
[[Некоторые «образовательные» мероприятия преследуют по своей сути значимые цели]], но в большинстве образовательных сред основная задача заключается в том, чтобы заставить других / себя что-то узнать, что, как правило, не является внутренне значимой целью (в отличие от [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]]).

Фиксация на результатах обучения - это фиксация на том, что обычно является следствием более глубокой причины: внутренне значимой цели, связанной с этим материалом. Пытаясь произвести эффект без причины, учитель делает учеников иждивенцами. Он источник не только опыта, но и цели. В таких отношениях роль учителя определяется его превосходством. Это часто проявляется в виде (непреднамеренной) снисходительности.

[[Внутренне-модулированное обучение самоактуализируется; внешне-модулированное обучение самоотрекается]]. Студенты ощущают отречение и часто реагируют либо отстранением, либо уменьшением своего чувства интеллектуальной ответственности. Оба эти поведения усиливают асимметрию между учителем и учеником, что, в свою очередь, усиливает (намеренное или непреднамеренное) чувство превосходства, которое выражает учитель.

[[Глубокое понимание требует (и является результатом) интенсивной личной связи]]. Снисходительность и внешняя зависимость вряд ли приведут к такой связи. Часто сам учитель / автор не имеет такой связи с материалом, что усугубляет снисходительность (см. [[Авторская среда значительно окрашена мотивами авторов]]. 

Per Bret:

::Я не думаю, что многие дизайнеры по своей природе увлечены счетом до десяти или сложением. Таким образом, материал по этим темам создается не для прямого посвящения или обмена любовью, а с точки зрения: «Я знаю эту концепцию, а вы - нет, и я думаю, вам нужно знать то, что знаю я». Это создает дисбаланс, асимметрию между «учителем» и «учеником». И эта асимметрия часто выражается в снисхождении::

::Конечно, в каком-то смысле я очень увлечен такими целями, как «предоставление людям возможности» ... Но я также очень подозрительно отношусь к таким целям. Я думаю, что> 99,9% времени они в конечном итоге покровительствуют. Единственное, что я знаю, что постоянно уходит от этого паттерна неудач, - это сделать основной целью что-то другое, что-то, что по сути важно. Например, если вы запустите программу Apollo, вы наверняка поможете людям. Но это будет второстепенно по сравнению с полетом на Луну::

Related:

* [[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]] 
* [[Обучающие игры - это обреченный подход к созданию благоприятной среды]] 
* [[Образовательная среда обычно не включает в себя оригинальную мысль]] 
* [[Благоприятная среда сосредоточена на том, что включено]]
Больно читать бесконечно длинные статьи в сети, которые постоянно прокручиваются. Я всегда настраиваю свои устройства для чтения электронных книг на переворачивание, а не на непрерывную прокрутку. Одна из ключевых причин, по-видимому, заключается в том, что непрерывное взаимодействие с прокруткой нарушает постоянство объекта.

Когда я читаю физическую книгу, и если я потеряюсь, я могу перелистать несколько страниц назад, не отрывая пальца от места, на котором я сейчас читаю. Решение [[LiquidText]], вероятно, будет достаточным при перелистывании вперед, чтобы понять структуру книги, но оно не так сильно помогает при перелистывании назад, потому что я также использую дискретный физический макет страницы в этой операции: например, я мог смутно вспомнить что предложение, которое я ищу, находится на правой странице, внизу и т. д.

Если веб-публикация должна быть повсеместной, нам понадобится какая-то альтернатива непрерывной прокрутке огромного, недифференцированного блока текста.

Связано: [[Приложения не поддерживают надежные позиции прокрутки]]
Курс, разработанный [[Joe Edelman]].
[[Человеческие системы|https://human-systems.org/school]].

Это полу-массовый подход к созданию [[Благоприятная (стимулирующая) среда]], при котором опытные фасилитаторы (600 долларов на каждого учащегося) добавляют дополнительную структуру опыту.

Основная идея состоит в том, чтобы как можно больше основывать материалы курса на реальных действиях в жизни участников - их реальных дизайнерских проектах ([[Благоприятная среда сосредоточена на том, что включено]], [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]]). Но вы не можете разработать эффективный универсальный курс, который подойдет для всех дизайнерских проектов.

Таким образом, в курс входят «гиды», которые проводят собеседования со студентами, чтобы понять их проекты и их ценности. Руководства соответственно упорядочивают главы учебника. И они выбирают (или пишут) «миссии», которые могут претворить идеи этих глав в жизнь в контексте реальных дизайнерских проектов студентов. Для меня это звучит как [[Реализованный опыт]], но тот, который настроен на внутренне значимый контекст ([[Как мы можем расположить инструменты для размышления в внутренне значимых контекстах?]]). Их работа - «вплетать учебную программу в вашу жизнь». И «вплести сообщество в свою жизнь», но я не уверен, что это значит. Джо говорит: «Гиды делают курс похожим на вечеринку по случаю дня рождения-сюрприза: кто-то подумал о том, что идеально подходит для вас». Совершенно метафора.

Гиды создали базу данных этих миссий, каждая из которых связана с некоторыми темами из учебника. И они замечают закономерности в жизни студентов, которые облегчают процесс назначения. В каком-то смысле эта база данных является средством массовой информации. Как только он станет достаточно большим и узоры будут достаточно хорошо распознаны, адаптация их к новому ученику может оказаться не слишком сложной задачей. [[Реализованный опыт имеет невероятный потенциал в качестве массовой среды]].

В курс также входят упражнения и игры (искусственно [[Реализованный опыт]]), которые явно не основаны на реальных дизайнерских действиях. Но они всегда представлены и сформулированы с точки зрения следующей миссии. Таким образом, смысл исходит как от удовольствия от игры, так и от ожидаемой связи с будущей реальной деятельностью. Джо использовал аналогию с тренировкой для паркура: вы тренируетесь в прыжках с циновками в тренажерном зале, пока не почувствуете, что готовы делать настоящие вещи в мире. Но ваша практика мотивирована вашими планами заняться паркуром с друзьями в следующие выходные.

''''
Q. В каком контексте студенты, изучающие человеческие системы, выполняют «миссии»?
A. Реальные дизайнерские проекты в их профессиональной / личной жизни

Q. Каким образом Human Systems адаптирует обучение на основе проектов к реальным дизайнерским проектам студентов?
A. У каждого студента есть «гид», который выбирает / пишет миссии, чтобы охватить материал курса, который соответствует проектам дизайнера.

В. Как практические занятия связаны с аутентичным использованием в человеческих системах?
A. Практические занятия всегда мотивированы «миссией», которую они выполняют.

Q. Сколько Human Systems тратит на «руководящего» труда на одного студента в своем курсе?
A. 600 долларов

Q. В каком смысле человеческие системы - это реализованный опыт ?
A. Его «миссии»: студенты получают определенные знания в процессе выполнения собственных проектных работ.

Q. Какую метафору использует Джо, чтобы описать, какими руководителями по человеческим системам вы себя чувствуете?
A. Как будто вы пришли на вечеринку по случаю дня рождения-сюрприз: кто-то подумал о том, что идеально для вас.
"""
В отзывах о том, [[Как писать хорошие подсказки|https://andymatuschak.org/prompts/]], ряд читателей сообщают, что им было трудно отвечать на некоторые подсказки, потому что они составлены в соответствии с моей формулировкой. Не то чтобы моя формулировка была плохой или неправильной - просто эти читатели считают, что, если бы они сформулировали вопрос сами, они бы выбрали другую формулировку, которая лучше для них лично.

Авторы не получали этого отзыва в отчетах о Quantum Country. Я думаю, это проблема, связанная с тем, что это нетехнический текст. Формулировка жалобы возникает из-за того, что не существует фиксированного, заранее заданного способа ссылки на какое-либо понятие, что делает невозможным следовать [[Эвристика ответа эксперта, after Issa Rice]]. Автору пришлось самим придумывать термины, и читатель чувствует, что они могли использовать другие термины. Это происходит и в технических текстах, но реже: референты чаще уточняются.

Эта жалоба была в основном сосредоточена на запросах на закрытие удаления, которые вне зависимости от проблем с формулировкой: [[Cloze deletions часто вызывают разочарование в нетехнических мнемонических текстах]].

Здесь может помочь кнопка редактирования / ремикса.

---

"""
mduncs:
кое-что, что привлекло мое внимание форматом мнемонического эссе и некоторым обзором с помощью Orbit, - это сложность запоминания подсказок, которые написаны не моим голосом. небольшие различия в формулировках и словарном запасе помогают вещам выделяться, но мешают им закрепиться в моей голове.

Джеффри Литт:
Я заметил одну вещь: хотя подсказки в целом были хорошими, некоторые ответы были сформулированы не так, как я бы написал. Что оставляет меня неуверенным, насколько хорошо я запомню.

Сорен Бьорнстад:
В этой связи подсказки по терминологии кажутся мне особенно сложными. У меня сложилось впечатление, что некоторые термины включены только в закрывающие строки и не вызываются сначала вопросами, которые могут способствовать, учитывая вышесказанное ... но на самом деле у меня нет легко доступного списка всех подсказок, поэтому я не могу быть объективным об этом. Это также может быть своего рода когнитивным вмешательством в том смысле, что труднее принять термины, не относящиеся к новым концепциям, а у меня уже есть свои собственные термины? Так что я не уверен, подойдет ли что-либо из этого опыта для основной целевой аудитории этой статьи.

Я: Интересно, что довольно много людей выразили ту же проблему с закрытием, особенно с теми, которые в конечном итоге кажутся в основном лингвистическими. Думаю, это очень важно, чтобы я лучше это понимал. Этот тип подсказок работает достаточно хорошо (но не очень хорошо), когда я пишу их для себя. Я думаю, что отчасти проблема в том, что, когда я пишу это для себя, я признаю: «Послушайте, то, что я в основном делаю здесь, - это запоминание части терминологии, которую автор решил использовать, потому что я думаю, что сама формулировка полезный." Но когда автор просит вас сделать это, это похоже на произвольное наложение - вас просят запомнить конкретную формулировку, что кажется неправильным уровнем абстракции.

Мне это кажется точной оценкой. И обновленная информация о результатах обзора примерно за месяц: я узнал о многих из них, но те, с которыми у меня по-прежнему возникают проблемы, все попадают в эту категорию.

Стивен Малина:
Невозможность редактировать карты. Я часто обнаруживаю, что мое первое написание (особенно) ответов на подсказки не соответствует тому способу, которым я на самом деле вспоминаю ответ, хотя фактический способ, которым я вспоминаю ответ, также действителен. В результате с помощью моих собственных карточек Anki я часто редактирую ответы, чтобы они были сформулированы так, как я склонен запоминать ответы. Я обнаружил, что в противном случае каждый раз, когда я вижу карточку, мои скрупулезные наклонности срабатывают, и я задаюсь вопросом, означает ли моя другая формулировка то же самое, что и ответ, указанный на карточке. С другой стороны, с Orbit не только неотредактируемые ответы на подсказки, но они сформулированы в вашем (или Хосе) словарном запасе, а не в моем собственном. Хотя это может показаться мелочью, это добавляет небольшую, но реальную нагрузку на просмотр подсказок.

Невозможность добавлять и удалять карты. Я думаю, что вы отлично поработали с подсказками, но я все же считаю, что небольшая их часть просто не имеет для меня смысла. Например, есть карточка «Фокус:», на которую я постоянно неправильно отвечаю. Обычно я бы справился с этим, удалив карту или добавив дополнительные карты, чтобы заполнить любые пробелы, которые, по моему мнению, мешают мне получить эти карты (как вы также рекомендуете), но с Orbit я не могу, поэтому я застрял с эти карты как пиявки. Я обнаружил, что постоянное наблюдение за этими пиявками и неправильное их понимание непропорционально влияет на эмоциональный опыт просмотра карточек.

!!!Противоположное мнение

NothingIsntTrivial :

Мне кажется, что тексты @ Meaningness (в целом) во многом перекликаются с моими собственными мыслями и опытом. Наши «стеки абстракции» могут быть очень похожими. Я думаю, это означает, что подсказкам легче быть «хорошими» (нужное количество послушных / требующих усилий). Отвечая на подсказки, вы больше похожи на то, чтобы опираться на уже имеющуюся у меня мысль, а не на что-то совершенно новое.
Как и в случае с [[Мнемоническая среда]], уроки Execute Program чередуются с интерактивными подсказками. Но главная идея, которая дает Execute Program своей тёзке, состоит в том, что каждое взаимодействие включает выполнение программы внутри встроенного интерпретатора. Фактически, у [[Execute Program не имеет неисполняемых запросов]].

Например, урок может включать в себя несколько абзацев, знакомящих с понятием, что в SQL вы можете выбрать только определенный столбец, используя SELECT column_name. Затем он может предложить такую ​​подсказку:

"""

`exec(CREATE TABLE cats (name STRING, age INTEGER));`
`exec(INSERT INTO cats (name, age) VALUES (“Boromir”, 3), (“Aragorn”, 15));`
`exec(SELECT name FROM cats)`
`>` 
"""

Курсор читателя располагается на последней строке; они предназначены для ввода того, что будет оценивать выражение в первой строке. Затем Execute Program оценивает входное выражение читателя (то есть как Javascript) и сравнивает полученное значение с тестовым значением.

Это похоже на карточку в стиле Quizlet, на которой нужно ввести правильный ответ, но это не так. Это настоящий интерпретатор, который действительно оценит вашу программу. Так что вы можете написать `[{name: “Boromir”}, {name: “Aragorn”}]`или `[“Boromir”, “Aragorn”].map(n => ({name: n})`- оба верны. Мне нравится, что эта модель дизайна приближает уроки к подлинному контексту: [[Благоприятная среда сосредоточена на том, что включено]].

Более сложные запросы, называемые «проблемами», предоставляют читателям список источников и «выражение цели» - желаемое значение для последней строки. Например:

"""

`function adds2(input: number) {`
`}`
`adds2(4)`

`// GOAL: 6`
"""

Читатель должен модифицировать исходный листинг так, чтобы получилось целевое выражение. Когда читатель готов, они выполняют свою программу; он оценивается, и его результат сравнивается со значением цели.

Связанное с этим, более амбициозное самомнение: [[Что может означать размещение таких игр, как Shenzhen I / O, в профессиональных средах, таких как IDE?]]

Также по теме: [[Исполняемые книги]]

"""

Q. Запросы «Выполнить программу» просят читателей ввести ответ. Чем это взаимодействие отличается от Quizlet?
A. Ответ оценивается в реальном интерпретаторе, а не просто дословно сравнивается.

Q. Почему важно, чтобы ответы читателей на запросы «Выполнить программу» оценивались, а не просто сравнивались дословно?
A. Это дает читателям некоторую подлинную гибкость в решении вопросов.
"""
Все эти данные относятся к читателям, ответившим на 80% + вопросов QCVC в эссе перед первой сессией рецензирования.

После 6 повторений (с использованием более раннего, менее агрессивного расписания SRS) большинство пользователей 2019H1 в среднем удерживают около 54 дней на вопрос.

[img[Снимок экрана 2021-04-08 в 7.26.42 PM.png]]

Средний читатель 2019H2 продемонстрировал 2-недельное удержание на 95% + запросов QCVC к сеансу 9. Источник Эти пользователи в среднем около 24 дней удержания на вопрос после 3 повторений каждого запроса. У нас пока нет данных о более поздних количествах повторений.

Но разве это просто эффект выживания? В любом случае развили бы эти читатели такое удержание? Или это выбор эффект, даже эти читатели уже имеют детальное сохранение этого материала? [[Каково причинное влияние сеансов обзора мнемонической среды на удержание читателей?]]
* [[Цифровое чтение с непрерывной прокруткой мешает постоянству объекта]]
* [[Низкая производительность мешает нелинейному чтению при цифровом чтении]]
* [[При чтении в цифровом формате трудно поддерживать несколько позиций чтения]]
* [[Параллельное чтение в цифровом чтении в большинстве случаев невозможно]]
* [[Дисплеи с подсветкой ограничивают компьютеры интерьером]]

Это важная проблема, потому что [[Массовое распространение письменных средств массовой информации с новыми когнитивными функциями требует массового распространения чтения на компьютерах]].
[[Мнемоническая среда]] кодирует - даже в своем названии - свою направленность на то, чтобы помочь читателям выстроить детальную   внимание на помощь читателей строить подробную память о том, что они читают. Это явно очень полезно для познания платформы ([[Мнемоническая среда особенно хорошо подходит для познания платформы]]), но детальная память обычно не является основной целью для других жанров письма.

Размышляя о том, [[Как мнемоническая среда может помочь читателям в жанрах, не связанных с платформой?]], один из подходов состоит в том, чтобы использовать подсказки меньше как средство для создания детальной памяти и больше как средство для побуждения к более глубокому взаимодействию ([[Дополнительные сведения в текстовых подсказках мнемонической среды, которые могут поддерживать активное чтение]]), не только во время чтения, но и растягиваясь во времени ([[Мнемоническая среда удерживает читателей в контакте с материалом с течением времени]]).

Связанный потенциальный механизм: [[Встроенные шаблоны подсказок могут активно формировать написание подсказок для читателей мнемонического носителя]].
Размышляя о том, [[Как мнемоническая среда может помочь читателям в жанрах, не связанных с платформой?]], один из подходов состоит в том, чтобы использовать подсказки меньше как средство для создания подробной памяти и больше как средство для побуждения к более глубокому взаимодействию ([[Дополнительные сведения в текстовых подсказках мнемонической среды, которые могут поддерживать активное чтение]]), не только во время чтения, но и растягивая во времени [[Мнемоническая среда удерживает читателей в контакте с материалом с течением времени]]).

Связанный потенциальный механизм: [[Встроенные шаблоны подсказок могут активно формировать написание подсказок для читателей мнемонического носителя]].

Исса Райс предполагает, что одна полезная эвристика для написания подсказок для [[§Система интервального повторения]] (и, в частности, для [[Мнемоническая среда]]) заключается в том, что кто-то, кто уже является экспертом в этой теме, должен иметь возможность ответить на подсказку, не ссылаясь на конкретное мнемоническое эссе или источник.

Когда подсказка не проходит эту эвристику, она обычно кодирует интерпретацию, обрамление, пример, формулировку и т.д., Зависящую от автора. Это часто бывает полезно, особенно как своего рода [[Детальное кодирование]] или способ культивирования эмоционального интереса. Но это также может вызвать узкое понимание. В случае общих подсказок или мнемонической среды такие подсказки могут приводить к разочаровывающим ложным отрицаниям, поскольку они просят читателей узнать, как конкретный источник представляет материал: [[Читатели мнемонического носителя иногда чувствуют затруднения из-за выбора авторами формулировок]] мнемонической среды иногда чувствуют, что выбор авторов затрудняет выбор формулировок .

Здесь есть интересное отношение к [[Вечнозеленые заметки должны быть концептуальными]].

---

"""
Q. В соответствии с эвристикой ответа эксперта, как следует писать подсказки SRS?
A. Чтобы специалист в этой теме мог ответить на них, не ссылаясь на какой-то конкретный исходный материал.

Q. Если подсказка SRS не соответствует эвристике ответа эксперта, какие ограничения на усвоение знаний могут возникнуть?
A. Это может быть ограниченная кодировка знания.

Q. Почему общие подсказки SRS часто разочаровывают, если они не соответствуют эвристике ответов экспертов?
A. Они могут отдавать предпочтение конкретному источнику изложения какой-либо идеи, а не сосредотачиваться на том, что является универсальным.
"""



* Саймон и Чейз (1973, стр. 186) не нашли гроссмейстера, который был бы менее чем «примерно на {десятилетия}» интенсивной увлеченностью игрой. Мы можем очень грубо подсчитать, что мастер потратил от {10 000 до 50 000} часов, разглядывая шахматные позиции… »
* Эрикссон и др. (1993, стр. 366) суммируют ряд других исследований, в которых указаны необходимые 10-летние периоды подготовки в следующих областях: музыкальная композиция, музыкальное исполнение, математика, теннис, плавание, бег на длинные дистанции.
* Эрикссон и др. (1993, стр. 370): «какие-либо значительные достижения в литературе, музыкальной композиции, изобразительном искусстве и других областях до 16 лет чрезвычайно редки (Barlow 1952). (Юдит Полгар и Бобби Фишер достигли уровня международных гроссмейстеров по шахматам в 15 лет)»

!!!References

Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363.

Simon, H., & Chase, W. (1988). Skill in Chess. In D. Levy (Ed.), Computer Chess Compendium (pp. 175–188). Springer New York. https://doi.org/10.1007/978-1-4757-1968-0_18
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363.

---

* Экспертная эффективность не зависит от природных способностей; несколько однобокий обзор литературы. [[В какой степени исключительные способности передаются по наследству?]]
* Практика и опыт не приводят автоматически к профессиональному исполнению:
** [[Люди обычно развивают навыки до плато, а затем останавливаются]].
** [[Во многих сферах деятельности планка виртуозности стремительно поднялась]].
** [[Экспертная работа требует большого опыта]]
* Необработанные часы не равны опыту: нужна [[Целенаправленная практика, после Ericsson and Pool]]
** [[Типичная рабочая и производственная среда не является преднамеренной практикой]]
** [[Опытные тренеры способствуют эффективной осознанной практике]]

!!!Как достигается экспертиза

* Путь к профессиональному мастерству от юношеского интереса: [[Трехэтапная модель развития талантов Блума]]
* Критерии экспертизы резко меняются по мере повышения уровня производительности.
** На первом этапе школьников сравнивали с местными любителями. На втором этапе их сравнивают с другими начинающими практикующими. На третьем этапе их сравнивают с другими профессиональными кандидатами. В четвертом их сравнивают с другими международными исполнителями.
** Эти критерии не просто меняются в масштабе: они относятся к разным категориям.
*** Детей-музыкантов в основном оценивают по техническим способностям, но для профессионального роста требуется эмоциональное выражение и уникальные интерпретации.
*** Детей-математиков в основном оценивают по работоспособности и памяти, но профессиональная известность достигается благодаря глубокому пониманию и творчеству.
*** У многих студентов возникают проблемы с переходом
* Этот тип практики требует значительных ресурсов: Блум сообщает, что родители начинающих конкурентов экспертного уровня тратят большую часть своего свободного времени, отвлекая их на сопутствующие виды деятельности; они могут переехать, чтобы быть ближе к лучшим учебным заведениям; они тратят огромные деньги на высококлассных тренеров.
** Это требует твердой уверенности в том, что ребенок «особенный» или что он может быть лучшим.
* Осознанная практика требует больших усилий
** Авторы рассматривают различные исследования, в которых сообщается, что «по существу нет пользы от продолжительности более 4 часов в день и снижается польза от практики, превышающей 2 часа… эффективная продолжительность осознанной практики может быть ближе к 1 часу в день». (стр.370)
** Практика требует большой концентрации в каждом действии, чтобы учащиеся выстраивали автоматизм точно, а не кодировали мелкие ошибки. Сосредоточенность также важна для того, чтобы замечать области, которые можно улучшить, и изменять свою практику для их достижения.
** Улучшение физических способностей (силы, выносливости) самоограничено, потому что требует работы на пределе возможностей: [[Развитие навыков требует непростого гомеостаза]].
** Если ежедневная практика полностью расходует умственные и физические резервы студентов, важно, чтобы студенты могли полностью восстанавливаться на регулярной основе. В противном случае последующие практические занятия будут либо сокращены из-за ограниченных усилий ученика, либо они пройдут мимо истощения, что может привести к травмам и выгоранию.
** Мы можем думать об усилиях как об ограничении, которое устанавливает точку равновесия: студенты должны накопить тысячи часов практики, но они могут устойчиво практиковать только несколько часов в день; это означает, что практика должна растягиваться на годы последовательных занятий.
*** Кажется, что со временем студенты могут повысить свою терпимость к практике; долгосрочные программы тренировок начинаются с 10-20-минутных занятий с маленькими детьми и постепенно увеличиваются в течение длительного периода.
** Соответственно, многие известные романисты «пишут только 4 часа утром, оставляя остаток дня для отдыха и восстановления сил» (стр. 371).

---

!!!References

Bloom, B. S. (1985). Generalizations about talent development. In B. S. Bloom (Ed.), Developing talent in young people. Ballantine Books.
Эффект генерации предполагает, что люди лучше запоминают материал, который они сами создают, по сравнению с материалом, который они читают или который им предлагают.

Например, Slamecka и Graf (которые придумали название для этого эффекта в 1978 году) показали, что производительность памяти была лучше, когда людям приходилось генерировать целевое слово в паре ассоциаций (рифма: wave / c??e), чем когда они читали ассоциативная пара (рифма: wave / cave).

Этот эффект иногда приравнивают к [[Эффект тестирования]]: когда учащихся просят воспроизводить ответы по памяти (как в тестах на свободное вспоминание), некоторая часть воздействия на отзыв может быть связана с обработкой, участвующей в генерации ответов. Но эксперименты Karpicke и Zaromb (2010) показывают, что эти два эффекта различны и могут быть до некоторой степени изолированы. Люди, которые учились, пытаясь создать цели, в конечном итоге хуже запоминали, чем люди, которые учились, пытаясь вспомнить.

Карпике и Заромб (2010) указывают на некоторые ссылки (которые я еще не читал), которые предполагают, что эффект может быть минимальным в более сложных задачах свободного отзыва (в отличие от четвертого и пятого экспериментов Сламеки, которые действительно показали только небольшие эффекты):

::Таким образом, часто нет разницы в свободном воспроизведении прочитанных и сгенерированных списков, и на самом деле иногда есть преимущество чтения перед созданием (например, Nairne et al., 1991; Schmidt & Cherry, 1989). Улучшенная обработка элементов, которая происходит в чистом списке сгенерированных элементов, недостаточна для противодействия нарушению обработки заказа и дает преимущество в свободном отзыве по сравнению с чистым списком считанных элементов.

---

!!!References

[[Обозначение явления. Журнал экспериментальной психологии|https://notes.andymatuschak.org/Slamecka%2C_N._J.%2C_%26_Graf%2C_P._(1978)._The_generation_effect]]

!!!Backlinks

* [[Эффект тестирования]]

** Эффект тестирования обычно более выражен для производственных тестов (короткий ответ, эссе), чем для различения (множественный выбор / истина-ложь) (например, Kang et al, 2007). Это может быть связано с эффектом генерации .

* [[Ведение вечнозеленой заметки - это интервальное повторение]]
** С точки зрения памяти, это неэффективное повторение с интервалом: вы на самом деле не пользуетесь эффектом тестирования . Но он использует что-то вроде эффекта генерации , и это может быть полезной линзой, чтобы подумать о том, как управлять своим вниманием через корпус идей, которые вы накапливаете с течением времени. В частности, эта практика побудит вас постоянно обращать внимание на прошлые идеи, которые кажутся важными для вашей нынешней работы. А поскольку вы можете пересмотреть свои записи об этих прошлых идеях, внимание может потребовать значительных усилий.

* [[Написание вечнозеленых заметок помогает накапливать понимание]]
** Связано: Эффект генерации , Детальное кодирование

* Эффект генерации

* [[Системы интервального повторения с самооценкой более эффективны, чем аналогичные системы с машинной оценкой]].
** Некоторые системы с машинной оценкой избегают затрат на ввод, делая свои подсказки с множественным выбором. Но это превращает задачу генерации в задачу распознавания - гораздо менее эффективную для кодирования памяти; см. [[Эффект генерации]]

* Лучшее понимание эффекта тестирования и эффект поколения , читать кучу бумаг вокруг этого. Постепенно лучшее понимание сложного кодирования . Хорошая обзорная статья:
[[Kang, S. H. K., McDermott, K. B., & Roediger, H. L. (2007). Test format and corrective feedback modify the effect of testing on long-term retention. European Journal of Cognitive Psychology, 19(4–5), 528–558|https://doi.org/10.1080/09541440601056620]]

* О связи с эффектом генерации:
[[Karpicke, J. D., & Zaromb, F. M. (2010). Retrieval mode distinguishes the testing effect from the generation effect. Journal of Memory and Language, 62(3), 227–239|https://doi.org/10.1016/j.jml.2009.11.010]]

* Являются ли эффект тестирования и эффект генерации просто то же самое? Их часто сравнивают, и я действительно сравнивал их в своих заметках. В этой статье описывается серия экспериментов, в которых делается попытка продемонстрировать, что этими двумя явлениями управляет другой базовый механизм, и что практика поиска имеет большее влияние на память, чем генерация.

[[Slamecka, NJ, & Graf, P. (1978). Эффект генерации: Обозначение явления. Журнал экспериментальной психологии: обучение и память человека, 4 (6), 592–604|https://doi.org/10.1037/0278-7393.4.6.592]]
Первая статья, в которой сообщается о существовании эффекта генерации с помощью ряда экспериментов.
Вы запомните материал более надежно, если будете изучать его по разным поводам с небольшим промежутком между ними, а не тратить столько же времени на то, чтобы запихнуть его все за один вечер.

Другими словами, последовательные подкрепления сглаживают [[Кривая забывания]], так что вы можете ждать все дольше и дольше между каждым обзором. Своевременные интервалы сглаживают эту кривую в большей степени.

Алгоритмы системы памяти с разнесенным повторением использовали это преимущество для реализации эффективных систем обучения.

Алгоритмы [[§Система интервального повторения]] использовали это преимущество для реализации эффективных систем обучения.

!!!Оптимальный интервал

Интервалы между сессиями не следует увеличивать без ограничений, поскольку это снижает вероятность того, что вы запомните материал при просмотре, что, в свою очередь, снижает эффект подкрепления на вашу память. Оптимальный ISI зависит от удерживающего интервала (RI) - времени между заключительным сеансом исследования и тестом.

Мозер и Линдси (2016) выводят это степенное соотношение для отдельных учебных занятий из различных наборов эмпирических данных:
Оптимальный ISI = 0,097 * RI ^ 0,812. Честно говоря, мне это кажется примерно линейным. Их наборы данных не включают ничего, кроме 1-летнего RI, поэтому мы не должны доверять функции за пределами этого диапазона.

Кроме того, эта функция, похоже, не очень хорошо соответствует данным Cepeda et al 2008. Например они обнаружили, что OISI ~ = 5 для RI = 35, но аппроксимация степенного закона дает OISI = 1,8, что эмпирически показало гораздо худшие результаты в этом исследовании.

Собранные эмпирические данные
Корнель (2009) в эксперименте с лексикой типа GRE

Объединив три эксперимента, 90% участников узнали больше в условиях разнесения, чем в условиях масс, тогда как только 6% участников показали обратную картину.

Возможные теории, объясняющие эффект разнесения
«Вариативность кодирования»: интервалы изменяют контекст, что приводит к более богатым и разнообразным кодировкам, представляющим эти контексты.
Интервал требует меньшего сосредоточения усилий и внимания, чем массовое изучение.

[[Менее доступные воспоминания более подкрепляются извлечением]], что может улучшить обучение с помощью [[Двухкомпонентная модель памяти]].

«Прогностическая полезность»: если элемент обычно извлекается за короткий промежуток времени, ваш разум предполагает, что он больше не нужен по истечении этого промежутка времени; более длинные интервалы устанавливают более длительные периоды потребности.

Q. Какой термин используется в исследованиях эффекта интервалов для обозначения времени между сеансами?
A. Межсессионный интервал (ISI)

Q. Что означает ISI в бумаге с эффектом интервала?
A. Межсессионный интервал.

Q. Какой термин используется в исследованиях эффекта интервалов для обозначения времени между заключительным сеансом обучения и тестом?
A. Интервал удерживания (RI)

Q. Различайте «межсессионный интервал» и «интервал удерживания» в исследованиях эффекта разнесения.
A. Первый относится ко времени между учебными сессиями, а второй - ко времени между последней учебной сессией и тестом.

Q. Что такое «функция интервала» в литературе по эффекту интервала?
A. Точность отзыва как функция межсессионного интервала

Q. Какова характерная форма функции интервала?
A. Холм: относительно резкое начальное повышение точности, за которым следует медленное снижение.

Q. Что означает «оптимальный ISI» по отношению к эффекту интервала?
A. Пик функции интервала: ISI, обеспечивающий наивысшую точность отзыва.

Q. Оптимальный ISI сильно зависит от того, какой другой интервал?
A. Интервал удерживания (Cepeda et al, 2006; через Mozer et al, 2009)

Q. В чем заключается основная претензия теории кодирования вариабельности для эффекта интервала?
A. Интервал обеспечивает лучшее воспоминание, потому что он кодирует следы воспоминаний с более широким спектром психологических контекстов, предоставляя больше возможностей для совпадения с контекстами отзыва.

Q. Почему наличие следов в памяти, связанных с более широким спектром психологических контекстов, может приводить к более надежному воспоминанию?
A. Принцип специфичности кодирования

Q. В теории изменчивости кодирования, почему бы не увеличить ISI без обязательного получения максимальной изменчивости контекста?
A. По мере увеличения ISI извлечение становится все более убыточным, потому что каждый контекст исследования меньше перекрывается со следующим.

Q. Каково главное утверждение теорий предсказательной полезности для эффекта пространственного распределения?
A. Разум «узнает», сколько времени требуется памяти в соответствии с их паттернами доступа; более длительные интервалы обучения способствуют более длительному хранению.

!!!References
Branwen, G. (2009). Spaced Repetition for Efficient Learning. Retrieved December 16, 2019, from https://www.gwern.net/Spaced-repetition

Kornell, N. (2009). Optimising learning using flashcards: Spacing is more effective than cramming. Applied Cognitive Psychology, 23(9), 1297–1317. https://doi.org/10.1002/acp.1537

Psychological Theory Matters in the Big Data Era. In M. N. Jones (Ed.), Big data in cognitive science (pp. 34–64).
Когда вы пытаетесь вспомнить какую-то деталь, это действие укрепляет вашу память об этой детали. Когда это используется в качестве учебной деятельности, это называется «поисковой практикой» (retrieval practice).

Эксперимент продемонстрировал этот эффект даже тогда, когда правильный ответ не был предоставлен, и даже когда испытуемому предоставляется «открытая книга» для поиска правильного ответа. Эффект был продемонстрирован во многих областях и на многих возрастных уровнях.

Это предполагает существенно иную роль тестов. В обычных классах учителя и ученики представляют себе, что обучение происходит во время лекций или во время чтения материала. Тесты предназначены для оценки этого обучения. Но на самом деле сами тесты - важная часть учебного процесса.

!!!По сравнению с другими видами учебной деятельности
Практика поиска приводит к более прочной долговременной памяти, чем простое изучение материала, например, перечитать, несмотря на то, что студенты будут менее успешными во время самой практики (Roediger, 2006). По теме: [[Желательные трудности, после Бьорк]].

Это также, по-видимому, приводит к более прочной памяти (Karpicke and Smith, 2012) и повышению эффективности обучения в целом (Karpicke and Blunt, 2011) по сравнению с одной только практикой, основанной на [[Детальное кодирование]].

!!!Формат
Эффект тестирования обычно более выражен для производственных тестов (короткий ответ, эссе), чем для различения (множественный выбор / истина-ложь) (например, Kang et al, 2007). Это может быть связано с [[Эффект генерации]].

---

References
Reviews
Basic Research and Implications for Educational Practice. Perspectives on Psychological Science, 1(3), 181–210. https

Branwen, G. (2009). Spaced Repetition for Efficient Learning. Retrieved December 16, 2019, from https://www.gwern.net/Spaced-repetition

Commentary
Roediger, H. L., & Karpicke, J. D. (2018). Reflections on the Resurgence of Interest in the Testing Effect. Perspectives on Psychological Science, 13(2), 236–241. https://doi.org/10.1177/1745691617718873
Можно представить себе разработку курса или книги, которая предоставляет доступ к урокам только после того, как студенты отработают материал из предыдущего урока и включили его в свои долгосрочные воспоминания (например, [[Уроки Execute Program не открываются, пока вы не проверите их предварительные требования]]) . Но кажется, что во многих случаях оптимальный первоначальный интервал обзора очень длинный - многие недели или, возможно, даже месяцы. Если вы планируете обзоры эффективно (то есть откладывая их на очень длительные периоды), вы заставите людей очень долго ждать, прежде чем читать следующий раздел, что читателям может показаться довольно утомительным.

Связано: [[Мнемоническая среда может быть адаптирована для создания опыта, который разворачивается во времени]].

"""

Q. Почему оптимальное расписание обзорных сессий может вызвать проблемы для последовательностей закрытых курсов?
A. Во многих случаях оптимальная начальная ISI может составлять несколько недель или более; читатели, вероятно, не хотят, чтобы их закрывали так долго.
"""
Лоскутные прототипы великолепны: они позволяют скрупулезно повторять и быстро оценивать. Но многие важные идеи могут появиться только в контексте серьезной творческой проблемы, которая не связана с самой системой. Это ключевое утверждение: [[Insight через создание]].

Это звучит как стандартная практика: конечно, системы необходимо оценивать! Но большинство системных проектировщиков не воспринимают «серьезно» всерьез: [[Создателям инструментов обычно не хватает связи с серьезным контекстом использования]].
Наблюдение за тем, как ваши теории (представленные в системах) взаимодействуют с реальностью, может дать понимание, которое поможет улучшить ваши теории. Характер этих идей будет зависеть от контекста, в котором использовалась система. Если система не будет использована всерьез, идеи будут больше похожи на те, которые мог бы увидеть чистый теоретик. Это было возможно без фактического построения системы.

Pixar - хороший пример организации, которая создает серьезные контексты использования, которые, в свою очередь, управляют дизайном системы:  [[Фильмы и разработка технологий Pixar выступают в виде сопряженных маховиков]].

Общие проблемы:

* [[Великие производители инструментов часто не являются отличными пользователями инструментов, и наоборот]] 
** [[Группы, изучающие инструменты для мышления, нуждаются в достаточном потенциале для создания прототипов, пригодных для серьезной работы]]

Связанная теория:

* [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]]
* [[Авторская среда значительно окрашена мотивами авторов]] 
* [[Мощные благоприятные среды сосредоточены на использовании экспертами]]


!!!Ссылки
Matuschak, A., & Nielsen, M. (2019). How can we develop transformative tools for thought? Retrieved December 2, 2019, from https://numinous.productions/ttft

Конкретно: предположим, что вы хотите построить инструменты для предмета X (скажем X = дифференциальная геометрия). Если вы не будете глубоко вовлечены в практику этого предмета, будет чрезвычайно трудно создать хорошие инструменты. Это будет очень похоже на попытку создать новые инструменты для столярного дела, не занимаясь самостоятельно. Возможно, это часть того, почему такие инструменты, как *математика*, работают довольно хорошо - главный дизайнер Стивен Вольфрам имеет подлинные научные интересы в математике и физике. Конечно, не все части *Mathematica*работают одинаково хорошо; некоторые части кажутся игрушками, и кажется вероятным, что это те, которые// не используются// всерьез для компании.
Возможности наивных методов практики ограничены: [[Наивные подходы к практике: быстрое плато]]. Но это не так просто, как замена наивных методов лучшими, потому что [[Плато производительности часто требует изменения подхода к преодолению]]. Методы практики должны развиваться вместе с производительностью, потому что [[Развитие навыков требует непростого гомеостаза]].

Это часто означает, что методы практики должны разрабатываться и поддерживаться экспертом: [[Опытные тренеры способствуют эффективной осознанной практике]].

---

!!!References
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363. Ericsson et al - The Role of Deliberate Practice in the Acquisition of Expert Performance

The critical importance of a correct method or strategy has also been demonstrated in date calculation (Addis & O. A. Parsons, as described in Ericsson & Faivre, 1988), mental multiplication (Chase & Ericsson, 1982; Staszewski, 1988), absolute judgment of colors and pitches (for a review see Ericsson & Faivre, 1988), motor skills (Norman, 1976), and methods of work (R. H. Seashore, 1939).
(p. 367)
По мере того, как люди разрабатывают более эффективные фрагменты для некоторой области ([[«Чанки» в человеческом познании]], [[Перекодирование может увеличить размер чанка]]), они часто включают абстрактные, зависящие от домена атрибуты в свои кодировки. Например, шахматный мастер воспринимает шахматные доски в терминах «пешечных цепочек» и «атакующих файлов» (Chase and Simon, 1973, стр. 80), а не как набор позиций фигур. Их мысленное представление о состоянии игры в шахматы абстрактно, неоднородно, многомерно и относительно неразборчиво для новичка. Музыкант-импровизатор может мыслить понятиями «напряжение» и «ожидание».

Эти абстракции делают представления {менее общими} и {более трудными для передачи} в обмен на {получение дополнительной информации в пределах определенного домена}.

Эрикссон и Пул используют это наблюдение, чтобы сделать (вероятно, слишком сильное) обобщение (2016, стр. 60):

::… Такие ментальные представления… очень «специфичны для предметной области»… Это объясняет важный факт, касающийся работы экспертов в целом: не существует такой вещи, как развитие общего навыка. Вы не тренируете свою память; вы тренируете свою память для набора цифр, наборов слов или лиц людей».

---
"""
!!!References
Чейз, У. Г., и Саймон, Х. А. (1973). Восприятие в шахматах.*Когнитивная психология*, *4*(1), 55–81. [[Чейз и Саймон - Восприятие в шахматах]]
 
Ericsson, A., & Pool, R. (2016).*Пик: Секреты новой науки об экспертизе*(1 издание). Имон Долан/Хоутон Миффлин Харкорт. [[Пик - Ericsson and Pool]]
"""
Надежные почтовые ящики мощны, потому что они позволяют нам  [[Закрыть открытые петли]] и сосредоточиться на самой работе, а не на мета-работе.

Но эта история, кажется, повторяется постоянно:

# Вы настроили новый список задач. Все кажется таким многообещающим!
# Вы добавляете к нему вещи и проверяете вещи. Проходит время.
# Что-то возникает, и вы колеблетесь, прежде чем добавлять это в свой список дел: это может потеряться, и вам нужно убедиться, что это сделано.
# Таким образом, вы делаете липкую заметку для этой специальной задачи, за пределами вашего списка дел.
# Прилипкие ноты умножаются. Теперь у вас есть новый список дел!
# Повторите.

Почтовые ящики позволяют нам [[Закрыть открытые петли]] только в том случае, если они надежны, то есть, если вы можете что-то добавить к ним с полной уверенностью в том, что это будет «обработано» в какой-то разумные сроки. «Обработан» нечетко: вам просто нужно почувствовать, что судьба этих предметов примерно отражает ваши истинные предпочтения. Вы будете доверять системе входящих, которая в конечном итоге уронит 90% товаров, если остальные 10% были единственными, о которых вы действительно заботились. Вы не будете доверять системе входящих, в которой выполняется 90% задач, но 10%, которые не выполняются, - это те, о которых вы действительно заботились.

В эффективных почтовых ящиках может быть легко поддерживать такую уверенность: скорость вылета, естественно, превышает скорость прибытия. Но большинство почтовых ящиков информационных работников не выглядят так. Ставки очень изменчивы, что создает узкие места. Не каждый предмет на самом деле *нуждается*в обработке, но люди чрезмерно оптимистичны, поэтому предметы накапливаются в отставании.

Иногда мы можем снизить скорость прибытия; см., например [[Остерегайтесь автоматического импорта в ящик входящих для чтения]]. Обычно мы также должны увеличить скорость вылета, что трудно; см., например. [[Стратегии сортирования для обслуживания почтовых ящиков (например, Zero Inbox) часто слишком хрупкие]].
Популярная [[§Система интервального повторения]] с открытым исходным кодом .
!!!Обжаренная
[[Рецепт блюда|https://www.bonappetit.com/test-kitchen/how-to/article/charred-cabbage-christian-puglisi]]

!!!Тушеная
TODO
Проект долгосрочных исследований https://early.khanacademy.org/, изучающий динамические представления количества.

Farrar, S., Khoe, M.-L., & Matuschak, A. (2017, August 31). Numbers at play: Dynamic toys make the invisible visible. Retrieved December 31, 2019, from https://early.khanacademy.org/cantor/
All notable changes to this project will be documented here.

The format is based on [[Keep a Changelog|https://keepachangelog.com/en/1.0.0/]],
and this project adheres to [[Semantic Versioning|https://semver.org/spec/v2.0.0.html]].

!! [0.3.4] - 2021-01-26

!!! Fixed

* Tiddler's title is not displayed correctly ([[#13|https://github.com/crazko/krystal/issues/12]]) thanks [[@ericworks|https://github.com/ericworks]]

!! [0.3.3] - 2021-01-23

!!! Fixed

* Maximized tiddler above header dropdowns ([[#21|https://github.com/crazko/krystal/issues/21#issuecomment-759085177]])

!! [0.3.2] - 2021-01-05

!!! Changed

* Update TiddlyWiki to version `5.1.23`, see the official [[Changelog|https://tiddlywiki.com/#Release%205.1.23]]

!!! Fixed

* Searchbox results not displayed in new version of TiddlyWiki ([[#22|https://github.com/crazko/krystal/issues/22]])

!! [0.3.1] - 2020-10-01

!!! Fixed

* Scrolling to newly opened tiddlers when they do not fit into the view ([[#3|https://github.com/crazko/krystal/issues/3]])

!! [0.3.0] - 2020-08-22

!!! Added

* Add option to maximize tiddler width ([[#6|https://github.com/crazko/krystal/issues/6]])

!! [0.2.1] - 2020-08-03

!!! Fixed

* Tiddlers do not overflow when statically exported ([[#9|https://github.com/crazko/krystal/issues/9]])

!! [0.2.0] - 2020-07-02

!!! Changed

* Hide "Links to this note" box when there are no backlinks to the current tiddler

!! [0.1.7] - 2020-06-28

!!! Changed

* New possibilities of [[Customizable Header]] ([[#8|https://github.com/crazko/krystal/issues/8]])

!! [0.1.6] - 2020-06-27

!!! Added

* Tiddlers styling options (width & padding), see [[$:/plugins/rmnvsl/krystal/settings]] ([[#7|https://github.com/crazko/krystal/issues/7]])

... previous versions changelog not provided.
There are two ways of header customization:

# Use tag {{$:/tags/SideBar||$:/core/ui/TagTemplate}} to update header links. You can read [[How to add a new tab to the sidebar|https://tiddlywiki.com/#How to add a new tab to the sidebar]], the process is the same.
# Use tag {{$:/plugins/rmnvsl/krystal/header||$:/core/ui/TagTemplate}} to update sections.

!! Ordering

You can use fields `list-after` and `list-before` to sort the items. See [[Order of Tagged Tiddlers|https://tiddlywiki.com/#Order of Tagged Tiddlers]] for more information.

Currently, the styling of search bar is hardcoded to be right aligned, so everything listed after it will be in the right corner.
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
See the reference link below? You can find a reference to this tiddler also in the [[Installation]].
https://www.executeprogram.com

Execute Program предлагает интерактивные уроки по инструментам программирования от Гэри Бернхардта . Уроки перемежаются прозой с живыми задачами программирования. Подобно [[Мнемоническая среда]], сайт интегрирует [[§Система интервального повторения]] для повторения задач уроков с течением времени.

* Опыт урока:
** [[Уроки Execute Program разворачивают свою прозу в ответ на взаимодействие с читателем]].
*** [[Читатели отвечают на запросы «Execute Program», выполняя программу]].
**** [[Execute Program не имеет неисполняемых запросов]]
**** [[Подсказки Execute Program действуют как подсказки приложения и напоминания]].
*** [[Уроки Execute Program довольно короткие]]

* Курс и структура системы:
** [[Уроки Execute Program не открываются, пока вы не проверите их предварительные требования]].
**** [[Уроки Execute Program предполагают твердое напоминание предыдущего материала]].
**** [[Пропущенные ответы в обзорах Execute Program не наказывают учащегося, если он не «сдастся»]].
*** [[Механика прогресса Execute Program делает упор на выполнение новых уроков, а не на увеличение продолжительности воспроизведения]] 

Related: [[Мнемонические тексты могут быть сериализованы небольшими частями с течением времени, приурочены к воспоминаниям читателя]]
[[Читатели отвечают на запросы «Execute Program», выполняя программу]]. [[Execute Program]] не имеет других типов запросов.

Например, урок по регулярным выражениям может иметь такую ​​подсказку:

"""

Q. Каков результат `/a..b/.test(“a\ncb”)?`
А. false

Читатель ответил бы на это приглашение, фактически введя `false` в REPL и выполнив выражение.

На этом уроке не могло быть и более типичной системной подсказки с интервалом повторения :

Q. Какие символы не совпадают (во многих реализациях)?
А. `\n`

Уроки, которые в основном носят концептуальный характер (например, [[анализ ограничений SQL|https://www.executeprogram.com/courses/sql/lessons/constraint-analysis]]), плохо вписываются в эту модель.

Поскольку у Execute Program есть только один тип подсказки: [[Запросы Execute Program действуют как подсказки приложения и подсказки отзыва]] .

Q. Каков пример приглашения, которое Execute Program не может закодировать?
A. например, «Q. В чем разница между *и +? A. не *допускает совпадений»

Q. Почему в уроке анализа ограничений SQL Execute Program нельзя использовать систему интервального повторения?
A. Этот урок в основном концептуальный, и его идеи трудно закодировать в виде исполняемых выражений.
"""

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
Это заметка верхнего уровня для работы над проектом по созданию учебника Физика 7, в которую я собираю все идеи


!!!Сформулировать неотъемлимую цель

Нам нужно сформулировать идею для учебника, которая соответствует тезису [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]]. Примером такой идеи может быть выпускной Проект - Demo Day как в YC. 

!!!Метрики проекта

* Вопросы
** Как мы поймем, что мы достигли успеха? Что является целевой метрикой проекта?
** Дети умеют решать задачи лучше сверстников (как это измерить)?
** Больше детей решает задачи повышенной сложности?
** Если мы решили делать перевернутые уроки и проекты, нам надо определить наш бюджет по времени. И это должно быть согласовано с учебником - сколько уроков всего мы можем провести? Сколько времени на проект мы выделяем?
** Можно использовать OYLA для основы, после того как мы получим структуру книги

!!!Общие вопросы:

* Какой проект могут собрать дети? 
* Кто может выступить наставником и готовить группы?
* Надо ли поддерживать конкуренцию между группами (если будут группы)? - нельзя поражать в правах детей, должна быть справедливость
* Семиклассники способны вести проекты?
* Это должен быть один проект (что противоречит нашей идеологии о постоянном тестировании) или это должна быть серия небольших проектов?

!!!Вопросы для папы

"""

Q1. Если способ контролируемо измерить и сравнить две методики обучения по физике?
A1. Да, мы будем делать тестирование с открытыми тестами

Q2. Сколько времени необходимо для проведения такого эксперимента с момента старта эксперимента до получения результатов тестирования?
A2. Мы планируем захватить 2 четверти

Q3. Необходимо ли получение разрешение родителей для проведения такого эксперимента
A3. Да, родителей необходимо подготовить. 
a) в этом может быть наша возможность - если родители проникнутся нашей идеей, они будут жетско контролировать учеников.
б) в этом может быть наша проблема - если родители будут жетско контролировать учеников, мы получим искуственную мотивацию

Q4. Если мы будем использовать веб среду, смогут ли дети  заходить и отвечать на карточки ежедневно или нужно мобильное приложение?
A4. У детей есть доступ к интеренету. Скорее всего надо делать мобильную верстку и скорее всего нам придется делать отдельую страницу для каждого ученика!
"""

!!! Сырые идеи

* Надо сделать наклейки с прикольными формулами, законами и каким-то приколами на счет физики, может с Эйнштейном и Ньютоном - узнать цены, разработать дизайн и наклейки
* Надо сделать физику модной - прикольные футболки и толстовки для эксперемент класса - Рикки и Мортин - узнать цены, разработать дизайн и сделать футболки
* Надо повестить проектор в классе и показывать фильмы/ролики про физику - сделать подборку таких фильмов, в соответствии с изучаемыми темами
[[Gingko|https://gingkoapp.com/]] - это веб-инструмент для письма с необычной иерархической архитектурой интерфейса.

Авторы пишут, создавая «карточки» изначально в крайнем левом столбце. Этот столбец предназначен для составления резюме «верхнего уровня». Каждая карточка может иметь развернутые карточки, раскрывающие эту тему в среднем столбце и так далее, в третьем столбце (или глубже). Таким образом, писатели могут одновременно работать с высоким и низким уровнем детализации, поддерживая [[Периферийное зрение]]. Одна из глубоких колонок станет последней рукописью.

Модель относится к методам, предложенным в [[Создавайте спекулятивные контуры во время написания заметки]], но с более сильной связью между заметкой схемы и ее составляющими. Эта структура подчеркивает легкость за счет атомарности (см. [[Вечнозеленые заметки должны быть атомарными]], [[Вечнозеленые заметки позволяют плавно прогрессировать в письменной форме («инкрементное письмо»)]].

Похоже, что глубоко иерархическая модель предполагает, что вы можете писать «извне внутрь». То есть сначала вы напишете высокоуровневые детали, а затем заполните их. Я часто обнаруживаю, что не могу вообще увидеть высокоуровневую структуру, пока не напишу все атомарные детали: [[Вечнозеленые заметки - безопасное место для развития безумных идей]]. Также противопоставьте [[Предпочитайте ассоциативные онтологии иерархическим таксономиям]].

Но мне действительно нравится, как он устраняет трение от «детализации» деталей. Иногда я обнаруживаю, что не знаю, как разбить набор запутанных идей, поэтому в конечном итоге пишу одну заметку с множеством подзаголовков. Это неизбежно в конечном итоге требует рефакторинга, что является настоящим трением.

Такой иерархический редактор интересен во всех контекстах. Например, используя его для создания многоуровневого журнала, чтобы вы могли видеть на протяжении многих лет , месяцев, недель, дней. Также интересно представить, как использовать это в качестве инструмента для решения проблем, описанных в [[Трудно поддерживать согласованные планы, охватывающие многие временные горизонты]]. [[Вот пример|https://gingkoapp.com/planning-template]] Гингко, используемого в качестве планировщика проекта.

[[Безболезненное написание диссертации - приложение Gingko|https://gingkoapp.com/p/academic-writing-software/]]. Писать исследовательские работы сложно не потому, что вы недостаточно знаете, а потому, что вы знаете слишком много… Когда ты в нем, все, что ты видишь, - это дьявольские подробности.

Что, если бы существовал способ писать, который заставлял бы вас всегда держать в поле зрения общую картину? Итак, пока вы записываете детали этого конкретного аргумента / эксперимента / результата, вы все равно можете видеть, как он вписывается в вашу тему.
Что, если бы ваши заметки каким-то образом стали планом вашей диссертации?
Тогда ваш план стал вашей диссертацией и вашими публикациями одновременно?
https://www.gwern.net/GPT-3
https://notes.andymatuschak.org/z27aRzfKv9AhrdENveH1MhBGWj9HzTe5R1pZ
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
(См. Центральное обсуждение в разделе [[«Как мы можем разработать преобразующие инструменты для мышления; подраздел« Как изобрести индо-арабские цифры?»|https://numinous.productions/ttft/#how-to-invent-hindu-arabic-numerals]])

* Мощные системы выражают глубокое понимание основного предмета
** Практика студийного дизайна не может создать самые мощные [[Инструменты для размышления]]: [[Изобретение индо-арабских цифр требует как гения дизайна, так и гения математики]].

В определенных обстоятельствах, с определенным набором навыков, с использованием определенных процессов, создание этих систем фактически дает маргинальное понимание предмета, что, в свою очередь, позволяет усовершенствовать системы и так далее. Это цикл «понимания через создание».
Но это требует глубоких знаний в предметной области.
Определенные теоретические выводы не очевидны, если смотреть на теории изолированно. Но когда эти теории воплощаются в системах, наблюдения за поведением системы могут раскрыть теорию под новым углом, расширяя пространство возможного понимания. В лучшем случае теоретические идеи расширяют системы, которые вы можете построить, а идеи из этих систем расширяют вашу теорию в благотворном цикле.

Но для достижения обеих «половин» этого цикла требуется опыт как в создании системы, так и в предмете; То есть [[Изобретение индо-арабских цифр требует как гения дизайна, так и гения математики]].

Большинство практиков сосредотачиваются либо на развитии теоретического понимания, либо на создании систем, обращаясь только на словах к другой половине этого цикла. Ученые часто создают игрушечные системы, которые не создают значимого контекста для их идей ([[Академические программные интерфейсы обычно не подходят для серьезного использования широкой аудиторией]]). Дизайнеры и инженеры часто сосредотачиваются на создании систем без глубокого понимания теории, лежащей в основе этой системы.

Практики обоих типов часто разрабатывают системы ради разработки системы, а не для решения какой-то лично значимой проблемы, которую они очень мотивированы решить: [[Создателям инструментов обычно не хватает связи с серьезным контекстом использования]]. Понимание, получаемое из таких систем, обычно довольно слабое: [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]].

Это понимание особенно важно при разработке [[Инструменты для размышления]].

Подробнее о том, как достичь понимания с помощью создания:

* [[Глубокое сотрудничество между производителями и пользователями инструментов может способствовать пониманию посредством создания]]
* [[Insight через создание самого начала предпочитает бриколаж, а не долгий процесс дизайна]]

!!!References
Matuschak, A., & Nielsen, M. (2019 0). How can we develop transformative tools for thought? https://numinous.productions/ttft
//[[Бриколаж|https://ru.wikipedia.org/wiki/%D0%91%D1%80%D0%B8%D0%BA%D0%BE%D0%BB%D0%B0%D0%B6]] – это техника или творческий способ, при котором прототипы продуктов строятся из различных материалов, имеющихся в наличии; происходит реконструкция и повторное использование отдельных материалов или артефактов для получения новых смыслов и прозрений// 

При разработке систем, которые раздвигают границы их собственной фундаментальной теории, [[Insight через создание]] предполагает, что вам нужно будет одновременно прогрессировать в теории-пространстве и системном пространстве, чтобы обнаружить новые последствия в их сопряженном пространстве. [[Эффективное проектирование системы требует понимания, взятого из серьезных контекстов использования]]: вы должны постоянно создавать новые теоретические идеи в новых системах, а затем наблюдать за их воздействием в каком-то серьезном контексте использования.

Эти маленькие петли обратной связи лучше подходят для бриколажа, чем для большого дизайна. Но что очень важно, вы должны попытаться сделать так, чтобы бриколаж сросся: часто возникает соблазн перейти в //походку пьяницы//. [[The Drunkard’s Walk|https://en.wikipedia.org/wiki/The_Drunkard%27s_Walk]]

The Drunkard’s Walk обсуждает роль случайности в повседневных событиях и  когнитивные предубеждения , которые приводят людей к неправильному толку случайным событиям и стохастическим процессам. Название относится к определенному типу случайного обхода, математического процесса, в котором одна или несколько переменных изменяют значение в результате серии случайных шагов.

Я подозреваю, что это одна из причин, почему системы Теда Нельсона не были такими успешными, как могли бы: он и его коллеги занимались бесконечным предварительным проектированием, серьезно не используя свои идеи для написания текста или выполнения своей работы.
Одна важная проблема:  [[Высокие затраты на переключение между разработкой программного обеспечения и исследовательским мышлением]].

!!!Ссылки
Я, вероятно, забываюсь на стороне того, чтобы просто сделать вещи реальностью… Я получаю так много острых ощущений, оживляя вещи… как только это оживает, он начинает говорить вам, что это такое.
—Дэн Ингаллс, как цитируется в Nielsen, M. (2018). [[Увеличение долгосрочной памяти|http://augmentingcognition.com/ltm.html]]
You can either:

* save this whole ~TiddlyWiki by clicking the save button {{$:/core/ui/Buttons/save-wiki}}
* add just the ''bare'' plugin by dragging the following link onto your project [[$:/plugins/rmnvsl/krystal]]
* already installed? Check how to [[Update]] to the new version.

!!! ⚠ Warning

Although it's already possible to use this plugin (I do use it for my notes in the current development stage), it's an early alpha and has several drawbacks. Just to name a few:

# animations and transitions are buggy in some cases 🐛
# I'm still looking around how ~TiddlyWiki works 🤸‍♂️
Персональный сайт - https://nxhx.org/.
Автор [[Человеческие системы]]
Kawara - это приложение для iOS, созданное в начале 2020 года, которое периодически собирает и представляет контент в ежедневных сеансах просмотра. Это тип разнесения всего , без каких-либо конкретных действий по взаимодействию с элементами - вы просто просматриваете элемент и переходите к следующему.

Их объяснение для прессы, состоящее из одного предложения:

::Kawara помогает облегчить выгорание в социальных сетях и выработать более здоровые привычки, предоставляя ежедневную коллекцию вещей, которые вы хотите запомнить; люди, музыка, искусство, что угодно.

Но Kawara совсем не так представляется потребителям:

[img[Снимок экрана 2021-04-19 в 5.45.05 PM.png]]

Речь идет о памяти, в некотором роде, но в легкой форме: «Кавара не позволяет мне {забыть}, но не {заставляет} меня {помнить}». См. раздел [[Механика интервального повторения создает ощущение легкости]].

Его создал {Джон-Кайл Мор}, художник-технолог из Лос-Анджелеса. Его бизнес-модель - подписка на $2 в месяц. Похоже, это небольшой побочный проект автора.

!!!Механика

Что будет, если вы пропустите день? Накапливаются ли вещи или их просто пропускают? Точно сказать не могу.

Никакой «механики прогресса» и никакой динамической настройки каденции. Вас просят выбрать ритм при добавлении элемента, и все. Я считаю, что это странный выбор: я часто понятия не имею, когда впервые вижу что-то, как часто я хочу это видеть. Когда вас просят сделать выбор, это неприятно и тяжело. Не думаю, что обычно делаю этот выбор правильно. А регулировка интервала напрямую кажется ужасно неудобной. Но, возможно, это чрезмерная оптимизация. Может быть, подходит грубый инстинктивный выбор интервала, особенно для небольших коллекций?

[img[Снимок экрана 2021-04-19 в 5.46.54 PM.png]]

"""

Q. Как устанавливаются интервалы между предметами в Kawara?
A. Они указываются пользователем вручную во время загрузки.
"""

!!!Презентация

Маркетинговый веб-сайт представляет приложение в очень «миллениальном» стиле. Он сидит в шезлонге, в солнцезащитных очках и шортах, и он слегка побит камнями. На мой вкус это немного повлияло на меня, но действительно удачно убрало этот формат из «эффективности памяти» Спока. Большинство маркетинговых примеров сосредоточены на эстетическом материале, творческом вдохновении и т. Д. Что характерно, это интеграция are.na. Это не целенаправленно, это для того, чтобы «видеть хорошие вещи». Это интересное решение. [[Текущая концепция Orbit чрезмерно сосредоточена на памяти; где поэзия?]]

Акцент на возвращении к тому, что вам показалось интересным, но без какой-либо конкретной формы взаимодействия, очень похож на [[Readwise]] . Простой список основных моментов Readwise не сработал для меня: мои глаза просматривают его, а затем я архивирую электронное письмо, не особо увлекаясь. Но, возможно, визуальный материал существенно отличается.

Их маркетинговое видео отличается по эстетике, немного более солнечным в Instagram, но все же поэтичным. Подача сосредоточена на том, чтобы избежать откладывания на потом и отвлечения внимания.

::Используя интервалы для задания ритма, мы можем поддерживать его немного здоровее и лучше жить в то небольшое время, которое у нас есть. Kawara позволяет вам следить за чем угодно и где угодно в удобное для вас время - от одного раза в несколько дней до одного раза в несколько месяцев. Вместо постоянного обновления он предоставляет вам ежедневную коллекцию и не обновляется до завтрашнего дня. За все время: Kawara.

[img[Снимок экрана 2021-04-19 в 5.47.09 PM.png]]

[img[Снимок экрана 2021-04-19 в 5.47.16 PM.png]]

[img[Снимок экрана 2021-04-19 в 5.47.22 PM.png]]

Я действительно не знаю, как это разобрать, но это определенно вызывает воспоминания.

[img[Снимок экрана 2021-04-19 в 5.47.35 PM.png]]

[img[Снимок экрана 2021-04-19 в 5.47.42 PM.png]]

[img[Снимок экрана 2021-04-19 в 5.47.47 PM.png]]

[img[Снимок экрана 2021-04-19 в 5.48.01 PM.png]]
|!Version |0.3.4|
|!Published |<$view field="modified" format="date" template="MMM DDth, YYYY" />|
|!GitHub |https://github.com/crazko/krystal|

! Horizontal Story River

This plugin is an attempt to bring [[Andy Matuschak's Evergreen notes|https://notes.andymatuschak.org/]] system into [[TiddlyWiki|https://tiddlywiki.com/]]. I found it by reading articles by [[Anne-Laure Le Cunff|https://nesslabs.com/]].

Thanks both for the inspiration, my (thinking about) notes finally started to become (somehow) useful!

Made by [[Roman Veselý|https://romanvesely.com/]] - <span class="krystal-icon">{{$:/core/images/github}}</span> [[@crazko|https://github.com/crazko]], <span class="krystal-icon">{{$:/core/images/twitter}}</span> [[@rmnvsl|https://twitter.com/rmnvsl]]

!! Features

* horizontal story view for tiddlers (see [[Example]] 👉)
* bi-directional links at the bottom of each tiddler
* [[Customizable Header]] instead of sidebar
* edit/view [[Toolbar option to maximize tiddler width]]
* nice animations and transitions 🐮

!!! Customizable in [[plugin settings|$:/plugins/rmnvsl/krystal/settings]]

* closing open tiddlers to the right
* highlight links of open tiddlers
* tiddler style (width & padding)

---

* [[Changelog]]
* [[Installation]] / [[Update]]
* [[Update]]
* [[Setup]]
* [[Recommended plugins]]

You can leave a feedback here https://github.com/crazko/krystal/issues. Thanks!
https://www.liquidtext.net/
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
Minecraft - это [[Благоприятная (стимулирующая) среда]]: многие люди могут создавать в ней огромные трехмерные конструкции, и в противном случае они не смогли бы этого сделать. [[Большинство игр не являются благоприятной средой]], поэтому поучительно сравнить Minecraft с The Diamond Age’s Primer, который также стремится реализовать через игровую среду. Можем ли мы чему-нибудь научиться у одного, что могло бы улучшить другое?

!!!Майнкрафт > The Primer
Minecraft расширяет возможности игроков для 3D-моделирования за счет нового дизайна представления (редактирование вокселей) и социального обучения (бесконечные видеоролики на Youtube, многопользовательский режим). The Primer дает возможность с помощью [[Когнитивный каркас]] и [[Реализованный опыт]].

Опытный разработчик 3D-моделирования, использующий Minecraft, может на самом деле обнаружить, что представление вокселей дает им новые полезные перспективы, в то время как [[The Primer не делает экспертов лучше в чем-либо]].

Действия Minecraft имеют внутреннее значение для многих людей: творческое самовыражение, эстетический опыт и т. д. Между тем, [[Деятельность The Primer имеет внутреннее значение для Нелл только потому, что ее жизнь бедна]].

Minecraft не имеет скрытых целей; его авторы интересуются игрой и миростроительством. В этом нет ничего циничного или покровительственного. Индоктринационная программа The Primer иногда делает его деятельность снисходительной. [[Авторская среда значительно окрашена мотивами авторов]].

Minecraft не пытается «учить». Еxго дизайн посвящен теме [[«Найди развлечение»]]. [[The Primer - это, по сути, обучающая игра]], а [[Обучающие игры - это обреченный подход к созданию благоприятной среды]].

!!!The Primer > Minecraft
Поскольку мир Minecraft генерируется процедурно и требует небольшого повествования, на самом деле он не является средством общения. Тщательно продуманный разыгранный опыт «Букваря» - это пример того, как «Реализованный опыт» усиливает силу повествования.

Minecraft расширяет возможности игроков для 3D-моделирования, но его инструменты не предназначены для сложных задач моделирования в реальном мире. Он не заинтересован в том, чтобы помочь игрокам перейти в другую, более мощную среду; на самом деле он не имеет в виду серьезного внешнего стремления. В отличие от Primer, у Primer очень серьезные устремления, а Primer - это один из самых больших «ознакомительных» моментов на всю оставшуюся жизнь Нелл.

!!!Смотрите также

[[Primer++ встроен в поле, стимулируя участие через принятый опыт]].
[[The Primer не является жизнеспособной благоприятной средой]]
Популярная [[§Система интервального повторения]] с открытым исходным кодом. Основной разработчик - {Питер Бинстман}, бельгийский ученый.

Mnemosyne собирает анонимные данные о пользователях с 2006 года, но я обнаружил на удивление мало работы с этими данными. Электронное письмо Питеру подтверждает, что серьезных анализов не проводилось. Странно.

Одна из серьезных проблем с этими данными, как и с SuperMemo, заключается в том, что у пользователей мало или совсем нет перекрывающихся запросов. Таким образом, для данного приглашения, вероятно, есть только один образец точности при данном повторении.
Лоскутный проектный курс компьютерных систем, в котором учащиеся собирают свой собственный компьютер от сырых ворот до игры в тетрис. Авторы Ноам Нисан и Шимон Шокен [[Main page Nand2tetris|https://www.nand2tetris.org/]]

Некоторое отношение к [[Исполняемые книги]]: значительная часть курса состоит из схем, операционной системы и других программных примитивов, созданных студентом. Инструкторы также предоставляют среду моделирования / исполнения. Одним из важных элементов является то, что входные и выходные данные теста предоставляются для каждого проекта, поэтому учащийся может автоматически получать отзывы о своей работе.

В отличие от большинства исполняемых книг, цель этой книги не в том, чтобы вы читали и понимали код эксперта, а в том, чтобы вы сами написали его. ( [[Исполняемые книги подчеркивают важность понимания уже существующего кода, а не написания нового кода]]).

К сожалению, учебные материалы сильно оторваны от исполняемых компонентов; первые поставляются в виде PDF-файлов, вторые - в виде заархивированных файлов.
Термин, который использовался для описания средств массовой информации, сродни исследуемым объяснениям, но которые интегрируют повествовательный опыт в интерактивную среду, а не разделяют их, как это обычно делается.

Примеры:

* [[Визуализация кватернионов|https://eater.net/quaternions]]
* [[Уроки компьютерного программирования в Khan Academy|https://www.khanacademy.org/computing/computer-programming/programming/drawing-basics/pt/making-drawings-with-code]]
 ** в увеличенном масштабе: [[Scrimba|https://scrimba.com/]] - ''это можно посмотреть для fiz''
* [[Кантор|https://early.khanacademy.org/cantor/]]

Related: динамические носители обычно не имеют авторского измерения времени

!!!References

[[Рассказанные исследования: три ментальные модели|https://medium.com/khan-academy-early-product-development/narrated-explorables-three-mental-models-e16e0d80e4c1]]
https://notes.andymatuschak.org/z2Zh745BsDC3CbVwCbm2aRvaVfqBR6KUpxXE
[[The Primer не является жизнеспособной благоприятной средой]], но он предлагает многообещающее направление. Одна из проблем, связанных с созданием благоприятных условий (например, в области науки), заключается в том, что [[Благоприятная среда сосредоточена на том, что включено]], но для начинающих участников это часто невозможно, поэтому они в конечном итоге увязают в абстрактных вводных материалах. Один многообещающий подход: [[Реализованный опыт может стимулировать активное участие в благоприятных условиях]]. К сожалению, [[Реализованный опыт]] сложно создать, и [[Реализованный опыт трудно распространять]].

[[The Primer - это огромный реализованный опыт]], и это часть того, что люди находят в нем таким неотразимым. Это не совсем бутстрап, как я описываю, но Учебник по параллельным вселенным мог бы: [[Реальный опыт интеллектуальных открытий может вызвать любопытство и интерес Нелл (сомнительно)]].

Как показано, Нелл не знает и не разделяет целей The Primer. Она хотела закончить его, а затем оставить его позади: [[The Primer - это один большой опыт «онбординга» на всю оставшуюся жизнь Нелл]]. Было бы обреченным на провал категорически отделять описываемый мною «самозаготовительный» опыт от благоприятной среды, на которую они нацелены. Напротив, Primer ++ будет частью поля, которое он открывает, и его участники будут разделять цели его создателей.

Подготовленный таким образом The Primer мог бы больше походить на принятый опыт наставничества, предоставляемый в крупных организациях, за исключением того, что [[The Primer является масштабируемым]] . (См. также [[Реализованный опыт имеет невероятный потенциал в качестве массовой среды]])
Первый проект Andy Matuschak в [[Мнемоническая среда]], учебник по квантовым вычислениям и квантовой механике ([[Quantum Country|https://quantum.country]])

* [[Влияние мнемонического носителя на память читателя]]
https://notes.andymatuschak.org/z2ewMN8Hzd8gt4qyfQV1ognJ5PQs3CXxDfCJ
Installing following plugins will make the work with your ~TiddlyWiki easier:

* [[Relink|https://flibbles.github.io/tw5-relink/]] - When renaming a tiddler, Relink can update the fields, filters, and widgets of all other tiddlers.
* [[Edit-CompText|https://snowgoon88.github.io/TW5-extendedit/]] - This plugin adds completion when editing the body of a tiddler.
* [[TiddlyRemember|https://sobjornstad.github.io/TiddlyRemember/]] - A tool that integrates the TiddlyWiki with the spaced-repetition-flashcards tool [[Anki|https://apps.ankiweb.net/]]
* [[Streams|https://saqimtiaz.github.io/sq-tw/streams.html]] - Streams is a keyboard friendly way to write and easily divide your text into separate tiddlers while writing.
* [[Refnotes|https://kookma.github.io/Refnotes/]] - Refnotes is a set of macros and stylesheets for creating abbreviations, footnotes and citations.
!!! Title
<$edit-text tiddler="$:/SiteTitle" default="" tag="input"/>

!!! Subtitle
<$edit-text tiddler="$:/SiteSubtitle" default="" tag="input"/>

Go to [[plugin settings|$:/plugins/rmnvsl/krystal/settings]] for more options. Make sure you also check the list of [[Recommended plugins]].

How to [[get started|GettingStarted]]? See the [[control panel|$:/ControlPanel]] for more options.
Оригинальная цифровая [[§Система интервального повторения]], созданная  Piotr Wozniak. Включает поддержку различных связанных систем управления личной информацией, таких как [[Поэтапное чтение]]
В The Diamond Age одна из самых поразительных особенностей The Primer заключается в том, что он почти полностью передает действующий опыт , как и большинство видеоигр. Это наглядно демонстрирует, как [[Реализованный опыт может создать интенсивную личную связь с авторизованными целями]].

Испытать The Primer - значит отправиться в приключения, разгадывать головоломки, рассказывать истории и т. д. - но все эти действия созданы для того, чтобы вызывать определенные эмоциональные реакции, прививать определенные ценности и передавать определенные представления. Есть авторское повествование, но каждую страницу переворачивают действия Нелл; [[Реализованный опыт усиливает силу повествования]] и создается впечатление, что она создает историю.

[[Обучающие игры пытаются научить через реализованный опыт]], и действительно, The Primer по сути является образовательной игрой. Но Primer гораздо более амбициозен в использовании разыгрываемого опыта, чем любая существующая образовательная игра.

---
!!!References

Stephenson, N. (2003). The Diamond Age: Or, a Young Lady’s Illustrated Primer (Reprint edition). Spectra.

Цель The Primer - воспитывать творческую, подрывную молодежь , но с практической точки зрения занятия в [[Иллюстрированный The Primer "Юная леди»]] преследуют те же цели, что и [[Обучающие игры]]: формирование навыков, привитие ценностей и передача знаний. Фундаментальная теория для обеих форм заключается в том, что можно разработать действия, которые достигают этих целей, как неизбежное следствие участия без принуждения ([[The Primer, похоже, не принуждает студентов]]).

Подобно образовательной игре, The Primer часто скрывает истинные цели своей деятельности, вместо этого апеллируя к эстетике, развлечениям или повествованию: [[Нелл не знает и не разделяет целей The Primer]]. Как ни странно, Букварь фактически излагает эту теорию непосредственно Нелл в одной из своих историй: «Но мы так заняты своими упражнениями и упражнениями», - сказал я. «У нас есть время поиграть с ребенком в игры, как вы обещали?» «Что такое игра, как не упражнение, одетое в яркую одежду?» Сказал Додзё ». (стр.182)

Учебник удаляет большую часть этого налета по мере роста Нелл, но тогда целью деятельности становится само развитие навыков, а не какая-то внутренне значимая цель (в отличие от деятельности [[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]].

Это одна из основных причин того, что [[The Primer не является жизнеспособной благоприятной средой]].
Многие люди с энтузиазмом относятся к реализации [[Иллюстрированный The Primer "Юная леди»]] в реальной жизни. К сожалению, [[The Primer - это, по сути, обучающая игра]], поэтому она не является жизнеспособной стимулирующей средой по тем же причинам, по которым [[Обучающие игры - это обреченный подход к созданию благоприятной среды]] - плюс еще несколько.

[[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]], но [[Деятельность The Primer имеет внутреннее значение для Нелл только потому, что ее жизнь бедна]]

Цель The Primer - помочь Нелл стать творческим, «интересным» мыслителем, но вместо этого [[Явные обучающие квесты The Primer учат Нелл делегировать свое любопытство и интерес]].

[[Мощные благоприятные среды сосредоточены на использовании экспертами]], но [[The Primer не делает экспертов лучше в чем-либо]].

[[Авторская среда значительно окрашена мотивами авторов]]; Авторы The Primer мотивированы улучшением общества, а не головоломками и приключениями. Учебник также не соответствует эвристике, описанной в разделе [[Мощные благоприятные среды, обычно, возникают как побочный продукт проектов, преследующих свои собственные по своей сути значимые цели]].

[[Благоприятная среда сосредоточена на том, что включено]]. Способность к оригинальному мышлению - это самая важная вещь, которую пытается реализовать The Primer, но [[Нелл не делает оригинального мышления внутри The Primer]], и на самом деле [[Нелл не знает и не разделяет целей The Primer]].

Букварь лучше понять таким образом: [[The Primer - это один большой опыт «онбординга» на всю оставшуюся жизнь Нелл]].

Для сравнения «на собственном примере» см. [[Minecraft против the Primer]].

Но: одно оправдание! Люди интуитивно понимают, что The Primer является жизнеспособной благоприятной средой, потому что [[The Primer очень полезен и напоминает людям об их собственном опыте]]. Действительно, [[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]]. The Primer действительно в основном ориентирован на личностный рост, а не на конкретные навыки, хотя он хуже справляется с наведением мостов к действию ([[The Primer - это один большой опыт «онбординга» на всю оставшуюся жизнь Нелл]]).
Одна из причин, по которой //«The Diamond Age’s» Primer// кажется захватывающим, заключается в том, что это в основном программное решение для передачи ценностей, передачи знаний и наставничества. Другие решения либо очень дороги (личные отношения, наставники и т. д.), Либо гораздо менее убедительны (учебники, лекции и т. д.). Даже постольку, поскольку [[«ракторы»|https://docs.ruby-lang.org/en/3.0.0/Ractor.html]] являются необходимым компонентом, Primer по-прежнему является гораздо более дешевым способом распространения этого типа материала.

Поскольку [[The Primer - это огромный реализованный опыт]], один из полезных способов думать об идеях The Primer - это то, что [[Реализованный опыт трудно распространять]], но [[Реализованный опыт имеет невероятный потенциал в качестве массовой среды]].

---
!!!References

Stephenson, N. (2003). The Diamond Age: Or, a Young Lady’s Illustrated Primer (Reprint edition). Spectra.
1. Реализованный опыт и Принятый опыт - одно и тоже. Надо заменить везде

{{maximize-tiddler.png}}

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Visit [[$:/ControlPanel]] > Appearance > Toolbars > Edit Toolbar / View Toolbar.

Find ''<span class="krystal-icon">{{$:/plugins/rmnvsl/krystal/images/maximize-tiddler}}</span> maximize tiddler'' option, check the checkbox to make it visible in the toolbar and/or drag & drop to re-position.
Тим Руни сделал колоду [[Mochi]], представляющую содержание другой ветки в Твиттере, которую он нашел интересной, а затем опубликовал эту колоду в Твиттере: Тим Руни в Твиттере: «Эксперимент: для веток Twitter Я создал колоду карточек, чтобы помочь сохраните эту фантастическую катарскую ветку (~ 70 твитов) https://t.co/4mxrPgDSOg

В этом рабочем процессе есть огромное количество трений, и он слишком нестандартный, но это забавная подсказка для дизайна:

Как мы можем позволить кому-либо запоминать подробности обсуждения в Твиттере почти без усилий?

Каждый твит может содержать URL-адрес, указывающий на карточки, содержащие информацию об этом твите. Или последний твит в шторме твитов может включать URL-адрес всей цепочки. Любой подход требует выхода из Twitter, что немного прискорбно. Расширение браузера могло бы позволить встроенное отображение карточек, подобно некоторым стратегиям, описанным в [[Как мы можем адаптировать существующие тексты к мнемонической среде, без участия автора?]]

!!!References

Tim Rooney on Twitter: [[Experiment|https://twitter.com/tjrwriting/status/1205958684221853702]]
⚠ Better to make a backup before, just in case something went wrong.

Drag & drop the link [[$:/plugins/rmnvsl/krystal]] to your TiddlyWiki. It should ask you to import the plugin & replace old version with the new one.

Not installed yet? See [[Installation]] for more instructions.
[[Free Linear Algebra textbook, from Jim Hefferon|http://hefferon.net/linearalgebra/index.html]]
«У вэй» - это китайское понятие, которое примерно переводится как «{действие без усилий}».

В историческом контексте он обычно используется в духовном смысле, описывая человека, который ведет себя гармонично, спонтанно, непринужденно. Но я считаю, что это интересное свойство для разработки программного обеспечения.

Утилита для Mac Quicksilver познакомила меня с этой фразой в начале 2000-х годов. Разработанный Николасом Джиткоффом, он позволял пользователям запускать программы и выполнять команды, нажимая Command + Пробел с последующим несколькими нажатиями клавиш. Его быстро подражали LaunchBar, Alfred и Spotlight. Но что важно, так это ощущение этого дизайна - усилие, почти бездумность. Я переключался на другое приложение, двигая несколькими пальцами, даже не осознавая, что сделал это. Это сильное чувство.
[[Y Combinator|https://www.ycombinator.com]] - это инкубатор стартапов, который, помимо финансирования, предлагает своим участникам структурированную среду, предназначенную для ускорения как их компании, так и их личных возможностей. Многие из мероприятий сосредоточены на передаче отточенного набора практик и ценностей: например, собеседования и ужины с успешными прошлыми основателями почти мифически передают культурные знания; канонический набор книг и бесед делает то же самое; сжатые временные рамки Demo Day требуют определенного способа действий; рабочее время обеспечивает прямое обучение по тем же принципам.

Y Combinator - это [[Благоприятная (стимулирующая) среда]]: основатели регулярно сообщают, что внезапно обнаруживают, что они могут делать гораздо больше - и не только благодаря средствам. Это похоже на школу в некотором поверхностном смысле, но ключевое отличие состоит в том, что вся деятельность основателя вращается вокруг создания стартапа, которым они до смешного увлечены, а не вокруг изучения некоего абстрактного набора навыков, которые призваны сделать возможным что-то внутренне значимое позже ([[Деятельность в области создания благоприятных условий непосредственно служит неотъемлемой цели]]).

Y Combinator - это тоже [[Реализованный опыт]]. Структурируя свою жизнь вокруг обедов, вех, переговоров и рабочего времени, основатели довольно последовательно усваивают определенный набор практик и ценностей, а на таких мероприятиях, как Demo Day, они довольно ''последовательно испытывают определенный набор эмоциональных переживаний''- это крейний важный поинт, возможно это то, ради чего идут в YC. 

Но многие из этих переживаний не кажутся «вынужденными» извне; Многие ощущения напоминают то, что создали основатели, даже если они были бы недоступны вне контекста YC ([[Реализованный опыт может стимулировать активное участие в благоприятных условиях]]). Эти действия не оформляются как «практика». Они созданы как делающие ([[Благоприятная среда сосредоточена на создании возможностей для роста и действий, а не на развитии навыков]]).

Y Combinator также предлагает «Startup School», упрощенную версию той же программы для дистанционного обучения. У меня сложилось впечатление, что он не предлагает такой же последовательности в разыгрываемом опыте, но он был бы очень мощным, если бы это было (см. [[Реализованный опыт имеет невероятный потенциал в качестве массовой среды]]).